fix(oss): cap v3 add ingestion fanout

feat: support Gemini via Vertex AI as LLM provider (#4030 )
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-06-16 17:05:20 -07:00 · 2026-06-16 16:59:06 +05:30 · 2026-06-16 16:10:57 +05:30 · 2026-06-16 15:51:27 +05:30 · 2026-06-16 15:50:30 +05:30 · 2026-06-16 15:49:26 +05:30
171 changed files with 13946 additions and 3262 deletions
@@ -12,7 +12,7 @@
      "name": "mem0",
      "source": "./integrations/mem0-plugin",
      "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search to Claude workflows.",
-      "version": "0.2.9"
+      "version": "0.2.10"
    }
  ]
 }
@@ -12,7 +12,7 @@
      "name": "mem0",
      "source": "./integrations/mem0-plugin",
      "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search.",
-      "version": "0.2.9"
+      "version": "0.2.10"
    }
  ]
 }
@@ -0,0 +1,4 @@
+[submodule "evaluation"]
+	path = evaluation
+	url = https://github.com/mem0ai/memory-benchmarks
+	branch = main
@@ -12,7 +12,7 @@ This file provides context for AI coding assistants (Claude Code, Cursor, GitHub

 ## Repository Structure

-This is a **polyglot monorepo** containing Python and TypeScript packages, CLIs, servers, plugins, documentation, and evaluation tooling.
+This is a **polyglot monorepo** containing Python and TypeScript packages, CLIs, servers, plugins, and documentation.

 ### Key Directories

@@ -29,12 +29,11 @@ This is a **polyglot monorepo** containing Python and TypeScript packages, CLIs,
 | `integrations/vercel-ai-sdk/` | `@mem0/vercel-ai-provider` — Vercel AI SDK memory provider |
 | `server/` | FastAPI REST server for self-hosted Mem0 (Docker: FastAPI + PostgreSQL/pgvector + Neo4j) |
 | `openmemory/` | Self-hosted memory platform — `api/` (FastAPI + Alembic + MCP server) and `ui/` (Next.js 15 + React 19) |
-| `skills/` | Claude Code skill definitions. Reference skills (SDK knowledge, always-on): `mem0/`, `mem0-cli/`, `mem0-vercel-ai-sdk/`. Pipeline skills (run on demand): `mem0-integrate/`, `mem0-test-integration/` |
+| `skills/` | Claude Code skill definitions. Reference skills (SDK knowledge, always-on): `mem0/`, `mem0-cli/`, `mem0-vercel-ai-sdk/`. Pipeline skills (run on demand): `mem0-integrate/`, `mem0-test-integration/`, `mem0-oss-to-platform/` |
 | `docs/` | Documentation site (Mintlify) |
 | `tests/` | Python SDK tests (pytest) |
-| `evaluation/` | Benchmarking framework — LOCOMO evals, experiment runner, score generation |
-| `examples/` | Sample projects — demo apps, Chrome extension, multi-agent patterns |
-| `cookbooks/` | Jupyter notebooks — customer support chatbot, AutoGen integration |
+| `evaluation/` | Submodule → [`mem0ai/memory-benchmarks`](https://github.com/mem0ai/memory-benchmarks) — benchmarking (LOCOMO, LongMemEval, BEAM) lives in that repo |
+| `examples/` | Sample projects & runnable demos — apps, Chrome extension, multi-agent patterns, and Jupyter notebooks (`notebooks/`) |
 | `pr-reviews/` | Pull request review materials |
 | `scripts/` | Repo-wide utility scripts (e.g., `check-llms-txt-coverage.py` for docs/llms.txt sync) |

@@ -247,18 +246,19 @@ make docs                          # or: cd docs && mintlify dev
 - **API spec:** `docs/openapi.json`
 - **Structure:** `api-reference/`, `open-source/`, `platform/`, `integrations/`, `cookbooks/`, `core-concepts/`

-### Evaluation (`evaluation/`)
+### Evaluation / Benchmarking
+
+Benchmarking lives in the external [`mem0ai/memory-benchmarks`](https://github.com/mem0ai/memory-benchmarks) repo (LOCOMO + LongMemEval + BEAM). The in-repo `evaluation/` path is a **git submodule** pinned to that repo's `main` — populate it with `git submodule update --init evaluation` (or clone mem0 with `--recurse-submodules`), or clone the benchmarks repo standalone:

 ```bash
-cd evaluation
-make run-mem0-add                  # Run mem0 add experiments
-make run-mem0-search               # Run mem0 search experiments
-make run-mem0-plus-add             # With graph memory
-make run-mem0-plus-search          # With graph memory
-make run-rag                       # RAG baseline
-make run-full-context              # Full context baseline
-make run-langmem                   # LangMem comparison
-make run-openai                    # OpenAI comparison
+git clone https://github.com/mem0ai/memory-benchmarks.git
+cd memory-benchmarks
+pip install -r requirements.txt
+
+# Run a benchmark (Mem0 Cloud; use docker compose for OSS)
+python -m benchmarks.locomo.run --project-name my-test --backend cloud --mem0-api-key $MEM0_API_KEY
+python -m benchmarks.longmemeval.run --project-name my-test --backend cloud --mem0-api-key $MEM0_API_KEY --all-questions
+python -m benchmarks.beam.run --project-name my-test --backend cloud --mem0-api-key $MEM0_API_KEY --chat-sizes 100K --conversations 0-9
 ```

 ## Core APIs
@@ -390,7 +390,7 @@ Model Context Protocol support in multiple places:
 - `integrations/mem0-plugin/` provides integrations for Claude Code, Cursor, and Codex via MCP server connections and lifecycle hooks for automatic memory capture.
 - `skills/` contains structured skill definitions for AI agents, split into two categories:
  - **Reference skills** (always-on SDK knowledge): `mem0` (Python + TS SDKs, framework integrations), `mem0-cli` (terminal workflows), `mem0-vercel-ai-sdk` (Vercel AI provider).
-  - **Pipeline skills** (run on demand): `mem0-integrate` wires Mem0 into an existing repo via a TDD pipeline; `mem0-test-integration` verifies what the integrator produced on the same branch. The two are loosely coupled via `.mem0-integration/` artifacts.
+  - **Pipeline skills** (run on demand): `mem0-integrate` wires Mem0 into an existing repo via a TDD pipeline; `mem0-test-integration` verifies what the integrator produced on the same branch (the two are loosely coupled via `.mem0-integration/` artifacts); `mem0-oss-to-platform` migrates an existing project from Mem0 OSS to the hosted Platform SDK (plan, then execute on approval).

 ### Adding a New Provider

@@ -1026,7 +1026,8 @@ def get_user_preferences(user_id: str):
 ### AutoGen Integration

 ```python
-from cookbooks.helper.mem0_teachability import Mem0Teachability
+# Mem0Teachability lives in examples/notebooks/helper/ — see examples/notebooks/mem0-autogen.ipynb
+from helper.mem0_teachability import Mem0Teachability
 from mem0 import Memory

 # Add memory capability to AutoGen agents
@@ -186,9 +186,10 @@ npx skills add https://github.com/mem0ai/mem0 --skill mem0-vercel-ai-sdk
 ```bash
 npx skills add https://github.com/mem0ai/mem0 --skill mem0-integrate
 npx skills add https://github.com/mem0ai/mem0 --skill mem0-test-integration
+npx skills add https://github.com/mem0ai/mem0 --skill mem0-oss-to-platform
 ```

-Use `/mem0-integrate` to wire Mem0 into an existing repo via a test-first pipeline, then `/mem0-test-integration` to verify. See the [skills catalog](./skills/) or [Vibecoding with Mem0](https://docs.mem0.ai/vibecoding) for the full picture.
+Use `/mem0-integrate` to wire Mem0 into an existing repo via a test-first pipeline, then `/mem0-test-integration` to verify. Use `/mem0-oss-to-platform` to migrate an existing project from Mem0 OSS to the hosted Platform SDK. See the [skills catalog](./skills/) or [Vibecoding with Mem0](https://docs.mem0.ai/vibecoding) for the full picture.

 ### Basic Usage

@@ -44,5 +44,15 @@
    "vitest": "^4.1.0",
    "@biomejs/biome": "^1.7.0",
    "@types/node": "^20.0.0"
+  },
+  "pnpm": {
+    "overrides": {
+      "jws@4.0.0": "4.0.1",
+      "langsmith@<0.6.0": "^0.6.0",
+      "tar-fs@>=2.0.0 <2.1.4": "^2.1.4",
+      "picomatch@<2.3.2": "^2.3.2",
+      "postcss@<8.5.10": ">=8.5.10",
+      "esbuild": ">=0.28.1"
+    }
  }
 }
@@ -10,6 +10,7 @@ overrides:
  tar-fs@>=2.0.0 <2.1.4: ^2.1.4
  picomatch@<2.3.2: ^2.3.2
  postcss@<8.5.10: '>=8.5.10'
+  esbuild: '>=0.28.1'

 importers:

@@ -77,28 +78,24 @@ packages:
    engines: {node: '>=14.21.3'}
    cpu: [arm64]
    os: [linux]
-    libc: [musl]

  '@biomejs/cli-linux-arm64@1.9.4':
    resolution: {integrity: sha512-fJIW0+LYujdjUgJJuwesP4EjIBl/N/TcOX3IvIHJQNsAqvV2CHIogsmA94BPG6jZATS4Hi+xv4SkBBQSt1N4/g==}
    engines: {node: '>=14.21.3'}
    cpu: [arm64]
    os: [linux]
-    libc: [glibc]

  '@biomejs/cli-linux-x64-musl@1.9.4':
    resolution: {integrity: sha512-gEhi/jSBhZ2m6wjV530Yy8+fNqG8PAinM3oV7CyO+6c3CEh16Eizm21uHVsyVBEB6RIM8JHIl6AGYCv6Q6Q9Tg==}
    engines: {node: '>=14.21.3'}
    cpu: [x64]
    os: [linux]
-    libc: [musl]

  '@biomejs/cli-linux-x64@1.9.4':
    resolution: {integrity: sha512-lRCJv/Vi3Vlwmbd6K+oQ0KhLHMAysN8lXoCI7XeHlxaajk06u7G+UsFSO01NAs5iYuWKmVZjmiOzJ0OJmGsMwg==}
    engines: {node: '>=14.21.3'}
    cpu: [x64]
    os: [linux]
-    libc: [glibc]

  '@biomejs/cli-win32-arm64@1.9.4':
    resolution: {integrity: sha512-tlbhLk+WXZmgwoIKwHIHEBZUwxml7bRJgk0X2sPyNR3S93cdRq6XulAZRQJ17FYGGzWne0fgrXBKpl7l4M87Hg==}
@@ -116,314 +113,158 @@ packages:
    resolution: {integrity: sha512-ooWCrlZP11i8GImSjTHYHLkvFDP48nS4+204nGb1RiX/WXYHmJA2III9/e2DWVabCESdW7hBAEzHRqUn9OUVvQ==}
    engines: {node: '>=0.1.90'}

-  '@esbuild/aix-ppc64@0.25.12':
-    resolution: {integrity: sha512-Hhmwd6CInZ3dwpuGTF8fJG6yoWmsToE+vYgD4nytZVxcu1ulHpUQRAB1UJ8+N1Am3Mz4+xOByoQoSZf4D+CpkA==}
+  '@esbuild/aix-ppc64@0.28.1':
+    resolution: {integrity: sha512-Svl7tq8k/08+p6CXPpRjQ1fKX+1odH/BQbb48fV6fj3CWHhsoIOoY87w1oHXm0qEpkIK3ZfVgp0hed3XBXzXMQ==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [aix]

-  '@esbuild/aix-ppc64@0.27.4':
-    resolution: {integrity: sha512-cQPwL2mp2nSmHHJlCyoXgHGhbEPMrEEU5xhkcy3Hs/O7nGZqEpZ2sUtLaL9MORLtDfRvVl2/3PAuEkYZH0Ty8Q==}
-    engines: {node: '>=18'}
-    cpu: [ppc64]
-    os: [aix]
-
-  '@esbuild/android-arm64@0.25.12':
-    resolution: {integrity: sha512-6AAmLG7zwD1Z159jCKPvAxZd4y/VTO0VkprYy+3N2FtJ8+BQWFXU+OxARIwA46c5tdD9SsKGZ/1ocqBS/gAKHg==}
+  '@esbuild/android-arm64@0.28.1':
+    resolution: {integrity: sha512-34EGEbCIAgosYz6goLcopX6Mo7NyGv9tfwEM2/7Ce2VcVRk568iSvniGWcUXIy7wEDR1wzolcxcriFVrWYcwBg==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [android]

-  '@esbuild/android-arm64@0.27.4':
-    resolution: {integrity: sha512-gdLscB7v75wRfu7QSm/zg6Rx29VLdy9eTr2t44sfTW7CxwAtQghZ4ZnqHk3/ogz7xao0QAgrkradbBzcqFPasw==}
-    engines: {node: '>=18'}
-    cpu: [arm64]
-    os: [android]
-
-  '@esbuild/android-arm@0.25.12':
-    resolution: {integrity: sha512-VJ+sKvNA/GE7Ccacc9Cha7bpS8nyzVv0jdVgwNDaR4gDMC/2TTRc33Ip8qrNYUcpkOHUT5OZ0bUcNNVZQ9RLlg==}
+  '@esbuild/android-arm@0.28.1':
+    resolution: {integrity: sha512-0k2F129Xdio1TdJfzJ8sy1Q47vUD2NnwdhiAf7drUN1EBTfPf4hsFCtmMgu/6m8JSzsBrlmVjudMBQqOfG8usQ==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [android]

-  '@esbuild/android-arm@0.27.4':
-    resolution: {integrity: sha512-X9bUgvxiC8CHAGKYufLIHGXPJWnr0OCdR0anD2e21vdvgCI8lIfqFbnoeOz7lBjdrAGUhqLZLcQo6MLhTO2DKQ==}
-    engines: {node: '>=18'}
-    cpu: [arm]
-    os: [android]
-
-  '@esbuild/android-x64@0.25.12':
-    resolution: {integrity: sha512-5jbb+2hhDHx5phYR2By8GTWEzn6I9UqR11Kwf22iKbNpYrsmRB18aX/9ivc5cabcUiAT/wM+YIZ6SG9QO6a8kg==}
+  '@esbuild/android-x64@0.28.1':
+    resolution: {integrity: sha512-dbwY7ltSMDWsRatcRpCnES4F+im88OCUgGZjy52shC7GqHRE/cYlxNbB4Z4UpJswpcc4Qxd2oE/ufM0p61IKng==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [android]

-  '@esbuild/android-x64@0.27.4':
-    resolution: {integrity: sha512-PzPFnBNVF292sfpfhiyiXCGSn9HZg5BcAz+ivBuSsl6Rk4ga1oEXAamhOXRFyMcjwr2DVtm40G65N3GLeH1Lvw==}
-    engines: {node: '>=18'}
-    cpu: [x64]
-    os: [android]
-
-  '@esbuild/darwin-arm64@0.25.12':
-    resolution: {integrity: sha512-N3zl+lxHCifgIlcMUP5016ESkeQjLj/959RxxNYIthIg+CQHInujFuXeWbWMgnTo4cp5XVHqFPmpyu9J65C1Yg==}
+  '@esbuild/darwin-arm64@0.28.1':
+    resolution: {integrity: sha512-TZbWkQY7kvTAXbXUT7uVACR5cMHsDiSz9z7ZKAX/RTq/WJEk3QyRr0wZpNhBDX+/0CtdqUIJlOiodQcta6tY3Q==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [darwin]

-  '@esbuild/darwin-arm64@0.27.4':
-    resolution: {integrity: sha512-b7xaGIwdJlht8ZFCvMkpDN6uiSmnxxK56N2GDTMYPr2/gzvfdQN8rTfBsvVKmIVY/X7EM+/hJKEIbbHs9oA4tQ==}
-    engines: {node: '>=18'}
-    cpu: [arm64]
-    os: [darwin]
-
-  '@esbuild/darwin-x64@0.25.12':
-    resolution: {integrity: sha512-HQ9ka4Kx21qHXwtlTUVbKJOAnmG1ipXhdWTmNXiPzPfWKpXqASVcWdnf2bnL73wgjNrFXAa3yYvBSd9pzfEIpA==}
+  '@esbuild/darwin-x64@0.28.1':
+    resolution: {integrity: sha512-zfdzgK9ACBNZLI/CyHTOx81SyNbM6YXn7rxSgX97VjyiPl9W1i4Ka4fgKECEoFCKGpvBj5qArWIGgQjOwkgskQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [darwin]

-  '@esbuild/darwin-x64@0.27.4':
-    resolution: {integrity: sha512-sR+OiKLwd15nmCdqpXMnuJ9W2kpy0KigzqScqHI3Hqwr7IXxBp3Yva+yJwoqh7rE8V77tdoheRYataNKL4QrPw==}
-    engines: {node: '>=18'}
-    cpu: [x64]
-    os: [darwin]
-
-  '@esbuild/freebsd-arm64@0.25.12':
-    resolution: {integrity: sha512-gA0Bx759+7Jve03K1S0vkOu5Lg/85dou3EseOGUes8flVOGxbhDDh/iZaoek11Y8mtyKPGF3vP8XhnkDEAmzeg==}
+  '@esbuild/freebsd-arm64@0.28.1':
+    resolution: {integrity: sha512-wG2EA8ENdEI0qhkSZMjfqrdY+ziCYCPMmtZjjIwOmXFjmyzEHn+UUxk5of+SYsjtfs3VpnlC7QLzSI5hY/rOAw==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [freebsd]

-  '@esbuild/freebsd-arm64@0.27.4':
-    resolution: {integrity: sha512-jnfpKe+p79tCnm4GVav68A7tUFeKQwQyLgESwEAUzyxk/TJr4QdGog9sqWNcUbr/bZt/O/HXouspuQDd9JxFSw==}
-    engines: {node: '>=18'}
-    cpu: [arm64]
-    os: [freebsd]
-
-  '@esbuild/freebsd-x64@0.25.12':
-    resolution: {integrity: sha512-TGbO26Yw2xsHzxtbVFGEXBFH0FRAP7gtcPE7P5yP7wGy7cXK2oO7RyOhL5NLiqTlBh47XhmIUXuGciXEqYFfBQ==}
+  '@esbuild/freebsd-x64@0.28.1':
+    resolution: {integrity: sha512-i7dZ9vQgnvSCzi/rYCXNgtF/U+eKZNJBzu3eTQbRgHnM7tNSizLOkRFAl3qzVc/Op/u5YkHHa4pf/3DOYHthLQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [freebsd]

-  '@esbuild/freebsd-x64@0.27.4':
-    resolution: {integrity: sha512-2kb4ceA/CpfUrIcTUl1wrP/9ad9Atrp5J94Lq69w7UwOMolPIGrfLSvAKJp0RTvkPPyn6CIWrNy13kyLikZRZQ==}
-    engines: {node: '>=18'}
-    cpu: [x64]
-    os: [freebsd]
-
-  '@esbuild/linux-arm64@0.25.12':
-    resolution: {integrity: sha512-8bwX7a8FghIgrupcxb4aUmYDLp8pX06rGh5HqDT7bB+8Rdells6mHvrFHHW2JAOPZUbnjUpKTLg6ECyzvas2AQ==}
+  '@esbuild/linux-arm64@0.28.1':
+    resolution: {integrity: sha512-yHs+0uc8+nvEAfAfxrWQKK5peSNzBc4PegcMO0EJ2hT71uA7vB8Ihg2e77R2P7SG5uYjPbHlLLmve4LLLRCf0g==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [linux]

-  '@esbuild/linux-arm64@0.27.4':
-    resolution: {integrity: sha512-7nQOttdzVGth1iz57kxg9uCz57dxQLHWxopL6mYuYthohPKEK0vU0C3O21CcBK6KDlkYVcnDXY099HcCDXd9dA==}
-    engines: {node: '>=18'}
-    cpu: [arm64]
-    os: [linux]
-
-  '@esbuild/linux-arm@0.25.12':
-    resolution: {integrity: sha512-lPDGyC1JPDou8kGcywY0YILzWlhhnRjdof3UlcoqYmS9El818LLfJJc3PXXgZHrHCAKs/Z2SeZtDJr5MrkxtOw==}
+  '@esbuild/linux-arm@0.28.1':
+    resolution: {integrity: sha512-qVXBOHQS+d5Y722GwJzJUtOLlX7km3CraOaGormF1pDtPd2C/l1SHRPgjLunLGe51Sh5YYWKMFDyV4SxgMQYTQ==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [linux]

-  '@esbuild/linux-arm@0.27.4':
-    resolution: {integrity: sha512-aBYgcIxX/wd5n2ys0yESGeYMGF+pv6g0DhZr3G1ZG4jMfruU9Tl1i2Z+Wnj9/KjGz1lTLCcorqE2viePZqj4Eg==}
-    engines: {node: '>=18'}
-    cpu: [arm]
-    os: [linux]
-
-  '@esbuild/linux-ia32@0.25.12':
-    resolution: {integrity: sha512-0y9KrdVnbMM2/vG8KfU0byhUN+EFCny9+8g202gYqSSVMonbsCfLjUO+rCci7pM0WBEtz+oK/PIwHkzxkyharA==}
+  '@esbuild/linux-ia32@0.28.1':
+    resolution: {integrity: sha512-d1z4ZuP0ajrfz/FhGT4vv278rX8KnPPJx8i5+AtK7TYbx9Le9F1hyzurZpkEyjkGa9dUGhQow4C1NmeGvqxN2w==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [linux]

-  '@esbuild/linux-ia32@0.27.4':
-    resolution: {integrity: sha512-oPtixtAIzgvzYcKBQM/qZ3R+9TEUd1aNJQu0HhGyqtx6oS7qTpvjheIWBbes4+qu1bNlo2V4cbkISr8q6gRBFA==}
-    engines: {node: '>=18'}
-    cpu: [ia32]
-    os: [linux]
-
-  '@esbuild/linux-loong64@0.25.12':
-    resolution: {integrity: sha512-h///Lr5a9rib/v1GGqXVGzjL4TMvVTv+s1DPoxQdz7l/AYv6LDSxdIwzxkrPW438oUXiDtwM10o9PmwS/6Z0Ng==}
+  '@esbuild/linux-loong64@0.28.1':
+    resolution: {integrity: sha512-M5sRjUVZrkm1OAPR3dlOYzNmN+loZKGVi1VUQGrwuqLcbR6qeAz+famMhjASeH3YVKvZz+zT1jlh/keC3Rj/lg==}
    engines: {node: '>=18'}
    cpu: [loong64]
    os: [linux]

-  '@esbuild/linux-loong64@0.27.4':
-    resolution: {integrity: sha512-8mL/vh8qeCoRcFH2nM8wm5uJP+ZcVYGGayMavi8GmRJjuI3g1v6Z7Ni0JJKAJW+m0EtUuARb6Lmp4hMjzCBWzA==}
-    engines: {node: '>=18'}
-    cpu: [loong64]
-    os: [linux]
-
-  '@esbuild/linux-mips64el@0.25.12':
-    resolution: {integrity: sha512-iyRrM1Pzy9GFMDLsXn1iHUm18nhKnNMWscjmp4+hpafcZjrr2WbT//d20xaGljXDBYHqRcl8HnxbX6uaA/eGVw==}
+  '@esbuild/linux-mips64el@0.28.1':
+    resolution: {integrity: sha512-mRObBZeHh2OxcBFPWE/FjylkRgZdYuiTR3vaTozquCGOH14iP9oN4x4Ge81CoIDYQrXmIxpFumJBu5MtZpnQJQ==}
    engines: {node: '>=18'}
    cpu: [mips64el]
    os: [linux]

-  '@esbuild/linux-mips64el@0.27.4':
-    resolution: {integrity: sha512-1RdrWFFiiLIW7LQq9Q2NES+HiD4NyT8Itj9AUeCl0IVCA459WnPhREKgwrpaIfTOe+/2rdntisegiPWn/r/aAw==}
-    engines: {node: '>=18'}
-    cpu: [mips64el]
-    os: [linux]
-
-  '@esbuild/linux-ppc64@0.25.12':
-    resolution: {integrity: sha512-9meM/lRXxMi5PSUqEXRCtVjEZBGwB7P/D4yT8UG/mwIdze2aV4Vo6U5gD3+RsoHXKkHCfSxZKzmDssVlRj1QQA==}
+  '@esbuild/linux-ppc64@0.28.1':
+    resolution: {integrity: sha512-slScBsMAb3GFDcdrCgLwZtPYRoH2H/youv10QiZyRjmsP48fznoveWytSgCI/R0ZcUgpc0ZhIUEx6LHts8yrfQ==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [linux]

-  '@esbuild/linux-ppc64@0.27.4':
-    resolution: {integrity: sha512-tLCwNG47l3sd9lpfyx9LAGEGItCUeRCWeAx6x2Jmbav65nAwoPXfewtAdtbtit/pJFLUWOhpv0FpS6GQAmPrHA==}
-    engines: {node: '>=18'}
-    cpu: [ppc64]
-    os: [linux]
-
-  '@esbuild/linux-riscv64@0.25.12':
-    resolution: {integrity: sha512-Zr7KR4hgKUpWAwb1f3o5ygT04MzqVrGEGXGLnj15YQDJErYu/BGg+wmFlIDOdJp0PmB0lLvxFIOXZgFRrdjR0w==}
+  '@esbuild/linux-riscv64@0.28.1':
+    resolution: {integrity: sha512-kw0owk1o0GFETUJyW0jc0G4Yzs0BHZn0JDZ8JRT088vjJYX777BAs1fDGxAC+q831qOs2DTC96mNsG2opdfyyQ==}
    engines: {node: '>=18'}
    cpu: [riscv64]
    os: [linux]

-  '@esbuild/linux-riscv64@0.27.4':
-    resolution: {integrity: sha512-BnASypppbUWyqjd1KIpU4AUBiIhVr6YlHx/cnPgqEkNoVOhHg+YiSVxM1RLfiy4t9cAulbRGTNCKOcqHrEQLIw==}
-    engines: {node: '>=18'}
-    cpu: [riscv64]
-    os: [linux]
-
-  '@esbuild/linux-s390x@0.25.12':
-    resolution: {integrity: sha512-MsKncOcgTNvdtiISc/jZs/Zf8d0cl/t3gYWX8J9ubBnVOwlk65UIEEvgBORTiljloIWnBzLs4qhzPkJcitIzIg==}
+  '@esbuild/linux-s390x@0.28.1':
+    resolution: {integrity: sha512-/lAIjX8aYFRByhh6L5rYtPEDRqa9de/4V/juOXcta5frjvzXO4/sqEtyytse0g3zZFuWu5cDN0MkLz2qRDD2Ag==}
    engines: {node: '>=18'}
    cpu: [s390x]
    os: [linux]

-  '@esbuild/linux-s390x@0.27.4':
-    resolution: {integrity: sha512-+eUqgb/Z7vxVLezG8bVB9SfBie89gMueS+I0xYh2tJdw3vqA/0ImZJ2ROeWwVJN59ihBeZ7Tu92dF/5dy5FttA==}
-    engines: {node: '>=18'}
-    cpu: [s390x]
-    os: [linux]
-
-  '@esbuild/linux-x64@0.25.12':
-    resolution: {integrity: sha512-uqZMTLr/zR/ed4jIGnwSLkaHmPjOjJvnm6TVVitAa08SLS9Z0VM8wIRx7gWbJB5/J54YuIMInDquWyYvQLZkgw==}
+  '@esbuild/linux-x64@0.28.1':
+    resolution: {integrity: sha512-u/anNYF2mmVOEDwLtnQ1wOr3EZ9sTNGLWrsYGYwHWzGA3Si84IOkHXlbWTD1NB+9/1lcnweYKO54uhxZydNzfA==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [linux]

-  '@esbuild/linux-x64@0.27.4':
-    resolution: {integrity: sha512-S5qOXrKV8BQEzJPVxAwnryi2+Iq5pB40gTEIT69BQONqR7JH1EPIcQ/Uiv9mCnn05jff9umq/5nqzxlqTOg9NA==}
-    engines: {node: '>=18'}
-    cpu: [x64]
-    os: [linux]
-
-  '@esbuild/netbsd-arm64@0.25.12':
-    resolution: {integrity: sha512-xXwcTq4GhRM7J9A8Gv5boanHhRa/Q9KLVmcyXHCTaM4wKfIpWkdXiMog/KsnxzJ0A1+nD+zoecuzqPmCRyBGjg==}
+  '@esbuild/netbsd-arm64@0.28.1':
+    resolution: {integrity: sha512-oks0DYbLwWMmaakTsCb+zL4E+aHRVLom9IJZOAthMQEPiQmydXHkziYEsGYRx0uNV/IjEKGAV941JzH02pflqw==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [netbsd]

-  '@esbuild/netbsd-arm64@0.27.4':
-    resolution: {integrity: sha512-xHT8X4sb0GS8qTqiwzHqpY00C95DPAq7nAwX35Ie/s+LO9830hrMd3oX0ZMKLvy7vsonee73x0lmcdOVXFzd6Q==}
-    engines: {node: '>=18'}
-    cpu: [arm64]
-    os: [netbsd]
-
-  '@esbuild/netbsd-x64@0.25.12':
-    resolution: {integrity: sha512-Ld5pTlzPy3YwGec4OuHh1aCVCRvOXdH8DgRjfDy/oumVovmuSzWfnSJg+VtakB9Cm0gxNO9BzWkj6mtO1FMXkQ==}
+  '@esbuild/netbsd-x64@0.28.1':
+    resolution: {integrity: sha512-aeL6lAnN89Hz43Mlh1G8ARasbuoYvSITDEx0tHh5b7jJnHcssqgjy9Yx430GDpmCa6OyrKoS0aNRjKundRizGg==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [netbsd]

-  '@esbuild/netbsd-x64@0.27.4':
-    resolution: {integrity: sha512-RugOvOdXfdyi5Tyv40kgQnI0byv66BFgAqjdgtAKqHoZTbTF2QqfQrFwa7cHEORJf6X2ht+l9ABLMP0dnKYsgg==}
-    engines: {node: '>=18'}
-    cpu: [x64]
-    os: [netbsd]
-
-  '@esbuild/openbsd-arm64@0.25.12':
-    resolution: {integrity: sha512-fF96T6KsBo/pkQI950FARU9apGNTSlZGsv1jZBAlcLL1MLjLNIWPBkj5NlSz8aAzYKg+eNqknrUJ24QBybeR5A==}
+  '@esbuild/openbsd-arm64@0.28.1':
+    resolution: {integrity: sha512-MEFJe5C3R8pwXdZ5Y21oo6m7ePiS0d9pWucn99O/wvyJZChoIQKrQDxKrGeW8F5+T0okTHesAmDeiHDTIq0V/Q==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [openbsd]

-  '@esbuild/openbsd-arm64@0.27.4':
-    resolution: {integrity: sha512-2MyL3IAaTX+1/qP0O1SwskwcwCoOI4kV2IBX1xYnDDqthmq5ArrW94qSIKCAuRraMgPOmG0RDTA74mzYNQA9ow==}
-    engines: {node: '>=18'}
-    cpu: [arm64]
-    os: [openbsd]
-
-  '@esbuild/openbsd-x64@0.25.12':
-    resolution: {integrity: sha512-MZyXUkZHjQxUvzK7rN8DJ3SRmrVrke8ZyRusHlP+kuwqTcfWLyqMOE3sScPPyeIXN/mDJIfGXvcMqCgYKekoQw==}
+  '@esbuild/openbsd-x64@0.28.1':
+    resolution: {integrity: sha512-i/ZLIOafE0Z8cI/XANJAixoJL/uRAoS2xOA3rb0xN+KK0K177cMAsQYkzHtBrtMXAKuAc7HGgcWiZ/sRC1Nxgw==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [openbsd]

-  '@esbuild/openbsd-x64@0.27.4':
-    resolution: {integrity: sha512-u8fg/jQ5aQDfsnIV6+KwLOf1CmJnfu1ShpwqdwC0uA7ZPwFws55Ngc12vBdeUdnuWoQYx/SOQLGDcdlfXhYmXQ==}
-    engines: {node: '>=18'}
-    cpu: [x64]
-    os: [openbsd]
-
-  '@esbuild/openharmony-arm64@0.25.12':
-    resolution: {integrity: sha512-rm0YWsqUSRrjncSXGA7Zv78Nbnw4XL6/dzr20cyrQf7ZmRcsovpcRBdhD43Nuk3y7XIoW2OxMVvwuRvk9XdASg==}
+  '@esbuild/openharmony-arm64@0.28.1':
+    resolution: {integrity: sha512-ge+Z7EXFNt2BO1oAMsVpiQ8EwndV9i1xXerAeTIK7AtPs3bKFXQM7nlRxDSIUIMeueR1CNXxqztLzdNeReKBJg==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [openharmony]

-  '@esbuild/openharmony-arm64@0.27.4':
-    resolution: {integrity: sha512-JkTZrl6VbyO8lDQO3yv26nNr2RM2yZzNrNHEsj9bm6dOwwu9OYN28CjzZkH57bh4w0I2F7IodpQvUAEd1mbWXg==}
-    engines: {node: '>=18'}
-    cpu: [arm64]
-    os: [openharmony]
-
-  '@esbuild/sunos-x64@0.25.12':
-    resolution: {integrity: sha512-3wGSCDyuTHQUzt0nV7bocDy72r2lI33QL3gkDNGkod22EsYl04sMf0qLb8luNKTOmgF/eDEDP5BFNwoBKH441w==}
+  '@esbuild/sunos-x64@0.28.1':
+    resolution: {integrity: sha512-BEjgtECkL3vY+SaSQ6nzVfiALUeFxpawyp8Jmf5PtYhf1Ug40N1h/hxlhts+f1FvSvarEigdxS3BlSMI2PJLcQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [sunos]

-  '@esbuild/sunos-x64@0.27.4':
-    resolution: {integrity: sha512-/gOzgaewZJfeJTlsWhvUEmUG4tWEY2Spp5M20INYRg2ZKl9QPO3QEEgPeRtLjEWSW8FilRNacPOg8R1uaYkA6g==}
-    engines: {node: '>=18'}
-    cpu: [x64]
-    os: [sunos]
-
-  '@esbuild/win32-arm64@0.25.12':
-    resolution: {integrity: sha512-rMmLrur64A7+DKlnSuwqUdRKyd3UE7oPJZmnljqEptesKM8wx9J8gx5u0+9Pq0fQQW8vqeKebwNXdfOyP+8Bsg==}
+  '@esbuild/win32-arm64@0.28.1':
+    resolution: {integrity: sha512-lCv9eK/H6ZJWbE7bh2nw54CZ9M2nupBxJcTsdk/QQnWkdSjKGuxmmH8/GWrlT1eMmZfn4dGcCjRte397WqfQXA==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [win32]

-  '@esbuild/win32-arm64@0.27.4':
-    resolution: {integrity: sha512-Z9SExBg2y32smoDQdf1HRwHRt6vAHLXcxD2uGgO/v2jK7Y718Ix4ndsbNMU/+1Qiem9OiOdaqitioZwxivhXYg==}
-    engines: {node: '>=18'}
-    cpu: [arm64]
-    os: [win32]
-
-  '@esbuild/win32-ia32@0.25.12':
-    resolution: {integrity: sha512-HkqnmmBoCbCwxUKKNPBixiWDGCpQGVsrQfJoVGYLPT41XWF8lHuE5N6WhVia2n4o5QK5M4tYr21827fNhi4byQ==}
+  '@esbuild/win32-ia32@0.28.1':
+    resolution: {integrity: sha512-zvb/mB2bSCoJOpoCBgYKKpX6YM6mJBlBUVUtVj41DlZJVEB6/0CKlRYxP5wWl1C1ILiCoAU5wZZ4q1P3qeS6Eg==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [win32]

-  '@esbuild/win32-ia32@0.27.4':
-    resolution: {integrity: sha512-DAyGLS0Jz5G5iixEbMHi5KdiApqHBWMGzTtMiJ72ZOLhbu/bzxgAe8Ue8CTS3n3HbIUHQz/L51yMdGMeoxXNJw==}
-    engines: {node: '>=18'}
-    cpu: [ia32]
-    os: [win32]
-
-  '@esbuild/win32-x64@0.25.12':
-    resolution: {integrity: sha512-alJC0uCZpTFrSL0CCDjcgleBXPnCrEAhTBILpeAp7M/OFgoqtAetfBzX0xM00MUsVVPpVjlPuMbREqnZCXaTnA==}
-    engines: {node: '>=18'}
-    cpu: [x64]
-    os: [win32]
-
-  '@esbuild/win32-x64@0.27.4':
-    resolution: {integrity: sha512-+knoa0BDoeXgkNvvV1vvbZX4+hizelrkwmGJBdT17t8FNPwG2lKemmuMZlmaNQ3ws3DKKCxpb4zRZEIp3UxFCg==}
+  '@esbuild/win32-x64@0.28.1':
+    resolution: {integrity: sha512-bm4Mowrv+GXMlpWX++EcXw/iLyd1o3+bJkC2DkWXYVvgZCqD/bSj9ctZeAMC3cIxgjRVR2Dufaiu4YPxr5gW1A==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [win32]
@@ -475,79 +316,66 @@ packages:
    resolution: {integrity: sha512-RzeBwv0B3qtVBWtcuABtSuCzToo2IEAIQrcyB/b2zMvBWVbjo8bZDjACUpnaafaxhTw2W+imQbP2BD1usasK4g==}
    cpu: [arm]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-arm-musleabihf@4.60.0':
    resolution: {integrity: sha512-Sf7zusNI2CIU1HLzuu9Tc5YGAHEZs5Lu7N1ssJG4Tkw6e0MEsN7NdjUDDfGNHy2IU+ENyWT+L2obgWiguWibWQ==}
    cpu: [arm]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-linux-arm64-gnu@4.60.0':
    resolution: {integrity: sha512-DX2x7CMcrJzsE91q7/O02IJQ5/aLkVtYFryqCjduJhUfGKG6yJV8hxaw8pZa93lLEpPTP/ohdN4wFz7yp/ry9A==}
    cpu: [arm64]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-arm64-musl@4.60.0':
    resolution: {integrity: sha512-09EL+yFVbJZlhcQfShpswwRZ0Rg+z/CsSELFCnPt3iK+iqwGsI4zht3secj5vLEs957QvFFXnzAT0FFPIxSrkQ==}
    cpu: [arm64]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-linux-loong64-gnu@4.60.0':
    resolution: {integrity: sha512-i9IcCMPr3EXm8EQg5jnja0Zyc1iFxJjZWlb4wr7U2Wx/GrddOuEafxRdMPRYVaXjgbhvqalp6np07hN1w9kAKw==}
    cpu: [loong64]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-loong64-musl@4.60.0':
    resolution: {integrity: sha512-DGzdJK9kyJ+B78MCkWeGnpXJ91tK/iKA6HwHxF4TAlPIY7GXEvMe8hBFRgdrR9Ly4qebR/7gfUs9y2IoaVEyog==}
    cpu: [loong64]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-linux-ppc64-gnu@4.60.0':
    resolution: {integrity: sha512-RwpnLsqC8qbS8z1H1AxBA1H6qknR4YpPR9w2XX0vo2Sz10miu57PkNcnHVaZkbqyw/kUWfKMI73jhmfi9BRMUQ==}
    cpu: [ppc64]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-ppc64-musl@4.60.0':
    resolution: {integrity: sha512-Z8pPf54Ly3aqtdWC3G4rFigZgNvd+qJlOE52fmko3KST9SoGfAdSRCwyoyG05q1HrrAblLbk1/PSIV+80/pxLg==}
    cpu: [ppc64]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-linux-riscv64-gnu@4.60.0':
    resolution: {integrity: sha512-3a3qQustp3COCGvnP4SvrMHnPQ9d1vzCakQVRTliaz8cIp/wULGjiGpbcqrkv0WrHTEp8bQD/B3HBjzujVWLOA==}
    cpu: [riscv64]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-riscv64-musl@4.60.0':
    resolution: {integrity: sha512-pjZDsVH/1VsghMJ2/kAaxt6dL0psT6ZexQVrijczOf+PeP2BUqTHYejk3l6TlPRydggINOeNRhvpLa0AYpCWSQ==}
    cpu: [riscv64]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-linux-s390x-gnu@4.60.0':
    resolution: {integrity: sha512-3ObQs0BhvPgiUVZrN7gqCSvmFuMWvWvsjG5ayJ3Lraqv+2KhOsp+pUbigqbeWqueGIsnn+09HBw27rJ+gYK4VQ==}
    cpu: [s390x]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-x64-gnu@4.60.0':
    resolution: {integrity: sha512-EtylprDtQPdS5rXvAayrNDYoJhIz1/vzN2fEubo3yLE7tfAw+948dO0g4M0vkTVFhKojnF+n6C8bDNe+gDRdTg==}
    cpu: [x64]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-x64-musl@4.60.0':
    resolution: {integrity: sha512-k09oiRCi/bHU9UVFqD17r3eJR9bn03TyKraCrlz5ULFJGdJGi7VOmm9jl44vOJvRJ6P7WuBi/s2A97LxxHGIdw==}
    cpu: [x64]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-openbsd-x64@4.60.0':
    resolution: {integrity: sha512-1o/0/pIhozoSaDJoDcec+IVLbnRtQmHwPV730+AOD29lHEEo4F5BEUB24H0OBdhbBBDwIOSuf7vgg0Ywxdfiiw==}
@@ -658,7 +486,7 @@ packages:
    resolution: {integrity: sha512-3WrrOuZiyaaZPWiEt4G3+IffISVC9HYlWueJEBWED4ZH4aIAC2PnkdnuRrR94M+w6yGWn4AglWtJtBI8YqvgoA==}
    engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
    peerDependencies:
-      esbuild: '>=0.18'
+      esbuild: '>=0.28.1'

  cac@6.7.14:
    resolution: {integrity: sha512-b6Ilus+c3RrdDk+JhLKUAQfzzgLEPy6wcXqS7f/xe1EETvsDP6GORG7SFuOs6cID5YkqchW/LXZbX5bc8j7ZcQ==}
@@ -738,13 +566,8 @@ packages:
  es-module-lexer@2.1.0:
    resolution: {integrity: sha512-n27zTYMjYu1aj4MjCWzSP7G9r75utsaoc8m61weK+W8JMBGGQybd43GstCXZ3WNmSFtGT9wi59qQTW6mhTR5LQ==}

-  esbuild@0.25.12:
-    resolution: {integrity: sha512-bbPBYYrtZbkt6Os6FiTLCTFxvq4tt3JKall1vRwshA3fdVztsLAatFaZobhkBC8/BrPetoa0oksYoKXoG4ryJg==}
-    engines: {node: '>=18'}
-    hasBin: true
-
-  esbuild@0.27.4:
-    resolution: {integrity: sha512-Rq4vbHnYkK5fws5NF7MYTU68FPRE1ajX7heQ/8QXXWqNgqqJ/GkmmyxIzUnf2Sr/bakf8l54716CcMGHYhMrrQ==}
+  esbuild@0.28.1:
+    resolution: {integrity: sha512-HrJrvZv5ayxBzPfwphOoNzkzOIIlifzk0KJrGK2c8R4+LKpMtpYLQeUdjnwjWv/LZlkH2laZk+4w78pi99D4Vw==}
    engines: {node: '>=18'}
    hasBin: true

@@ -1164,160 +987,82 @@ snapshots:
  '@colors/colors@1.5.0':
    optional: true

-  '@esbuild/aix-ppc64@0.25.12':
+  '@esbuild/aix-ppc64@0.28.1':
    optional: true

-  '@esbuild/aix-ppc64@0.27.4':
+  '@esbuild/android-arm64@0.28.1':
    optional: true

-  '@esbuild/android-arm64@0.25.12':
+  '@esbuild/android-arm@0.28.1':
    optional: true

-  '@esbuild/android-arm64@0.27.4':
+  '@esbuild/android-x64@0.28.1':
    optional: true

-  '@esbuild/android-arm@0.25.12':
+  '@esbuild/darwin-arm64@0.28.1':
    optional: true

-  '@esbuild/android-arm@0.27.4':
+  '@esbuild/darwin-x64@0.28.1':
    optional: true

-  '@esbuild/android-x64@0.25.12':
+  '@esbuild/freebsd-arm64@0.28.1':
    optional: true

-  '@esbuild/android-x64@0.27.4':
+  '@esbuild/freebsd-x64@0.28.1':
    optional: true

-  '@esbuild/darwin-arm64@0.25.12':
+  '@esbuild/linux-arm64@0.28.1':
    optional: true

-  '@esbuild/darwin-arm64@0.27.4':
+  '@esbuild/linux-arm@0.28.1':
    optional: true

-  '@esbuild/darwin-x64@0.25.12':
+  '@esbuild/linux-ia32@0.28.1':
    optional: true

-  '@esbuild/darwin-x64@0.27.4':
+  '@esbuild/linux-loong64@0.28.1':
    optional: true

-  '@esbuild/freebsd-arm64@0.25.12':
+  '@esbuild/linux-mips64el@0.28.1':
    optional: true

-  '@esbuild/freebsd-arm64@0.27.4':
+  '@esbuild/linux-ppc64@0.28.1':
    optional: true

-  '@esbuild/freebsd-x64@0.25.12':
+  '@esbuild/linux-riscv64@0.28.1':
    optional: true

-  '@esbuild/freebsd-x64@0.27.4':
+  '@esbuild/linux-s390x@0.28.1':
    optional: true

-  '@esbuild/linux-arm64@0.25.12':
+  '@esbuild/linux-x64@0.28.1':
    optional: true

-  '@esbuild/linux-arm64@0.27.4':
+  '@esbuild/netbsd-arm64@0.28.1':
    optional: true

-  '@esbuild/linux-arm@0.25.12':
+  '@esbuild/netbsd-x64@0.28.1':
    optional: true

-  '@esbuild/linux-arm@0.27.4':
+  '@esbuild/openbsd-arm64@0.28.1':
    optional: true

-  '@esbuild/linux-ia32@0.25.12':
+  '@esbuild/openbsd-x64@0.28.1':
    optional: true

-  '@esbuild/linux-ia32@0.27.4':
+  '@esbuild/openharmony-arm64@0.28.1':
    optional: true

-  '@esbuild/linux-loong64@0.25.12':
+  '@esbuild/sunos-x64@0.28.1':
    optional: true

-  '@esbuild/linux-loong64@0.27.4':
+  '@esbuild/win32-arm64@0.28.1':
    optional: true

-  '@esbuild/linux-mips64el@0.25.12':
+  '@esbuild/win32-ia32@0.28.1':
    optional: true

-  '@esbuild/linux-mips64el@0.27.4':
-    optional: true
-
-  '@esbuild/linux-ppc64@0.25.12':
-    optional: true
-
-  '@esbuild/linux-ppc64@0.27.4':
-    optional: true
-
-  '@esbuild/linux-riscv64@0.25.12':
-    optional: true
-
-  '@esbuild/linux-riscv64@0.27.4':
-    optional: true
-
-  '@esbuild/linux-s390x@0.25.12':
-    optional: true
-
-  '@esbuild/linux-s390x@0.27.4':
-    optional: true
-
-  '@esbuild/linux-x64@0.25.12':
-    optional: true
-
-  '@esbuild/linux-x64@0.27.4':
-    optional: true
-
-  '@esbuild/netbsd-arm64@0.25.12':
-    optional: true
-
-  '@esbuild/netbsd-arm64@0.27.4':
-    optional: true
-
-  '@esbuild/netbsd-x64@0.25.12':
-    optional: true
-
-  '@esbuild/netbsd-x64@0.27.4':
-    optional: true
-
-  '@esbuild/openbsd-arm64@0.25.12':
-    optional: true
-
-  '@esbuild/openbsd-arm64@0.27.4':
-    optional: true
-
-  '@esbuild/openbsd-x64@0.25.12':
-    optional: true
-
-  '@esbuild/openbsd-x64@0.27.4':
-    optional: true
-
-  '@esbuild/openharmony-arm64@0.25.12':
-    optional: true
-
-  '@esbuild/openharmony-arm64@0.27.4':
-    optional: true
-
-  '@esbuild/sunos-x64@0.25.12':
-    optional: true
-
-  '@esbuild/sunos-x64@0.27.4':
-    optional: true
-
-  '@esbuild/win32-arm64@0.25.12':
-    optional: true
-
-  '@esbuild/win32-arm64@0.27.4':
-    optional: true
-
-  '@esbuild/win32-ia32@0.25.12':
-    optional: true
-
-  '@esbuild/win32-ia32@0.27.4':
-    optional: true
-
-  '@esbuild/win32-x64@0.25.12':
-    optional: true
-
-  '@esbuild/win32-x64@0.27.4':
+  '@esbuild/win32-x64@0.28.1':
    optional: true

  '@jridgewell/gen-mapping@0.3.13':
@@ -1492,9 +1237,9 @@ snapshots:
      widest-line: 4.0.1
      wrap-ansi: 8.1.0

-  bundle-require@5.1.0(esbuild@0.27.4):
+  bundle-require@5.1.0(esbuild@0.28.1):
    dependencies:
-      esbuild: 0.27.4
+      esbuild: 0.28.1
      load-tsconfig: 0.2.5

  cac@6.7.14: {}
@@ -1547,63 +1292,34 @@ snapshots:

  es-module-lexer@2.1.0: {}

-  esbuild@0.25.12:
+  esbuild@0.28.1:
    optionalDependencies:
-      '@esbuild/aix-ppc64': 0.25.12
-      '@esbuild/android-arm': 0.25.12
-      '@esbuild/android-arm64': 0.25.12
-      '@esbuild/android-x64': 0.25.12
-      '@esbuild/darwin-arm64': 0.25.12
-      '@esbuild/darwin-x64': 0.25.12
-      '@esbuild/freebsd-arm64': 0.25.12
-      '@esbuild/freebsd-x64': 0.25.12
-      '@esbuild/linux-arm': 0.25.12
-      '@esbuild/linux-arm64': 0.25.12
-      '@esbuild/linux-ia32': 0.25.12
-      '@esbuild/linux-loong64': 0.25.12
-      '@esbuild/linux-mips64el': 0.25.12
-      '@esbuild/linux-ppc64': 0.25.12
-      '@esbuild/linux-riscv64': 0.25.12
-      '@esbuild/linux-s390x': 0.25.12
-      '@esbuild/linux-x64': 0.25.12
-      '@esbuild/netbsd-arm64': 0.25.12
-      '@esbuild/netbsd-x64': 0.25.12
-      '@esbuild/openbsd-arm64': 0.25.12
-      '@esbuild/openbsd-x64': 0.25.12
-      '@esbuild/openharmony-arm64': 0.25.12
-      '@esbuild/sunos-x64': 0.25.12
-      '@esbuild/win32-arm64': 0.25.12
-      '@esbuild/win32-ia32': 0.25.12
-      '@esbuild/win32-x64': 0.25.12
-
-  esbuild@0.27.4:
-    optionalDependencies:
-      '@esbuild/aix-ppc64': 0.27.4
-      '@esbuild/android-arm': 0.27.4
-      '@esbuild/android-arm64': 0.27.4
-      '@esbuild/android-x64': 0.27.4
-      '@esbuild/darwin-arm64': 0.27.4
-      '@esbuild/darwin-x64': 0.27.4
-      '@esbuild/freebsd-arm64': 0.27.4
-      '@esbuild/freebsd-x64': 0.27.4
-      '@esbuild/linux-arm': 0.27.4
-      '@esbuild/linux-arm64': 0.27.4
-      '@esbuild/linux-ia32': 0.27.4
-      '@esbuild/linux-loong64': 0.27.4
-      '@esbuild/linux-mips64el': 0.27.4
-      '@esbuild/linux-ppc64': 0.27.4
-      '@esbuild/linux-riscv64': 0.27.4
-      '@esbuild/linux-s390x': 0.27.4
-      '@esbuild/linux-x64': 0.27.4
-      '@esbuild/netbsd-arm64': 0.27.4
-      '@esbuild/netbsd-x64': 0.27.4
-      '@esbuild/openbsd-arm64': 0.27.4
-      '@esbuild/openbsd-x64': 0.27.4
-      '@esbuild/openharmony-arm64': 0.27.4
-      '@esbuild/sunos-x64': 0.27.4
-      '@esbuild/win32-arm64': 0.27.4
-      '@esbuild/win32-ia32': 0.27.4
-      '@esbuild/win32-x64': 0.27.4
+      '@esbuild/aix-ppc64': 0.28.1
+      '@esbuild/android-arm': 0.28.1
+      '@esbuild/android-arm64': 0.28.1
+      '@esbuild/android-x64': 0.28.1
+      '@esbuild/darwin-arm64': 0.28.1
+      '@esbuild/darwin-x64': 0.28.1
+      '@esbuild/freebsd-arm64': 0.28.1
+      '@esbuild/freebsd-x64': 0.28.1
+      '@esbuild/linux-arm': 0.28.1
+      '@esbuild/linux-arm64': 0.28.1
+      '@esbuild/linux-ia32': 0.28.1
+      '@esbuild/linux-loong64': 0.28.1
+      '@esbuild/linux-mips64el': 0.28.1
+      '@esbuild/linux-ppc64': 0.28.1
+      '@esbuild/linux-riscv64': 0.28.1
+      '@esbuild/linux-s390x': 0.28.1
+      '@esbuild/linux-x64': 0.28.1
+      '@esbuild/netbsd-arm64': 0.28.1
+      '@esbuild/netbsd-x64': 0.28.1
+      '@esbuild/openbsd-arm64': 0.28.1
+      '@esbuild/openbsd-x64': 0.28.1
+      '@esbuild/openharmony-arm64': 0.28.1
+      '@esbuild/sunos-x64': 0.28.1
+      '@esbuild/win32-arm64': 0.28.1
+      '@esbuild/win32-ia32': 0.28.1
+      '@esbuild/win32-x64': 0.28.1

  estree-walker@3.0.3:
    dependencies:
@@ -1840,12 +1556,12 @@ snapshots:

  tsup@8.5.1(postcss@8.5.15)(tsx@4.21.0)(typescript@5.9.3):
    dependencies:
-      bundle-require: 5.1.0(esbuild@0.27.4)
+      bundle-require: 5.1.0(esbuild@0.28.1)
      cac: 6.7.14
      chokidar: 4.0.3
      consola: 3.4.2
      debug: 4.4.3
-      esbuild: 0.27.4
+      esbuild: 0.28.1
      fix-dts-default-cjs-exports: 1.0.1
      joycon: 3.1.1
      picocolors: 1.1.1
@@ -1868,7 +1584,7 @@ snapshots:

  tsx@4.21.0:
    dependencies:
-      esbuild: 0.27.4
+      esbuild: 0.28.1
      get-tsconfig: 4.13.7
    optionalDependencies:
      fsevents: 2.3.3
@@ -1883,7 +1599,7 @@ snapshots:

  vite@6.4.3(@types/node@20.19.37)(tsx@4.21.0):
    dependencies:
-      esbuild: 0.25.12
+      esbuild: 0.28.1
      fdir: 6.5.0(picomatch@4.0.4)
      picomatch: 4.0.4
      postcss: 8.5.15
@@ -11,3 +11,4 @@ overrides:
  tar-fs@>=2.0.0 <2.1.4: ^2.1.4
  picomatch@<2.3.2: ^2.3.2
  "postcss@<8.5.10": ">=8.5.10"
+  "esbuild": ">=0.28.1"
@@ -32,12 +32,13 @@ def _run(args: list[str], home_dir: str | None = None) -> subprocess.CompletedPr
        if key.startswith("MEM0_"):
            del env[key]
    env.pop("FORCE_COLOR", None)
+    env["PYTHONIOENCODING"] = "utf-8"
    if home_dir:
        env["HOME"] = home_dir
    result = subprocess.run(
        [sys.executable, "-m", "mem0_cli", *args],
        capture_output=True,
-        text=True,
+        encoding="utf-8",
        env=env,
        timeout=15,
    )
@@ -99,12 +100,13 @@ class TestArgvPreprocessing:
        result = subprocess.run(
            [sys.executable, "-m", "mem0_cli", "init", "--agent"],
            capture_output=True,
-            text=True,
+            encoding="utf-8",
            env={
                **{k: v for k, v in os.environ.items() if not k.startswith("MEM0_")},
                "HOME": clean_home,
                "MEM0_BASE_URL": "http://127.0.0.1:1",  # blackhole
                "FORCE_COLOR": "0",
+                "PYTHONIOENCODING": "utf-8",
            },
            timeout=15,
        )
@@ -133,12 +135,13 @@ class TestJsonEnvelopeParity:
        result = subprocess.run(
            [sys.executable, "-m", "mem0_cli", "init", "--agent", "--json"],
            capture_output=True,
-            text=True,
+            encoding="utf-8",
            env={
                **{k: v for k, v in os.environ.items() if not k.startswith("MEM0_")},
                "HOME": clean_home,
                "MEM0_BASE_URL": "http://127.0.0.1:1",
                "FORCE_COLOR": "0",
+                "PYTHONIOENCODING": "utf-8",
            },
            timeout=15,
        )
@@ -49,6 +49,7 @@ def _run(
        if key.startswith("MEM0_"):
            del env[key]
    env.pop("FORCE_COLOR", None)
+    env["PYTHONIOENCODING"] = "utf-8"
    if home_dir:
        env["HOME"] = home_dir
    if env_override:
@@ -56,7 +57,7 @@ def _run(
    result = subprocess.run(
        [sys.executable, "-m", "mem0_cli", *args],
        capture_output=True,
-        text=True,
+        encoding="utf-8",
        env=env,
    )
    return subprocess.CompletedProcess(
@@ -67,7 +67,8 @@ class TestConfig:
        from mem0_cli.config import CONFIG_FILE

        mode = os.stat(CONFIG_FILE).st_mode & 0o777
-        assert mode == 0o600
+        if os.name != "nt":
+            assert mode == 0o600

    def test_defaults_save_and_load(self, isolate_config):
        config = Mem0Config()
@@ -4,6 +4,39 @@ description: "Release notes for the OpenClaw plugin and agent harness."
 mode: "wide"
 ---

+<Update label="2026-06-12" description="v1.0.13">
+
+**Fixes:**
+- **Custom categories payload:** `customCategories` (a `Record<string, string>` map) is now converted via the new `customCategoryMapToList()` helper into the `Array<Record<string, string>>` shape the Mem0 SDK expects on `add` calls — previously the raw object was passed as `custom_categories` and silently ignored ([#5345](https://github.com/mem0ai/mem0/pull/5345))
+- **Skip runtime setup during metadata registration:** `register()` now detects `registrationMode === "cli-metadata"`, registers only the CLI commands, and returns early — avoiding backend initialization, service/tool registration, and hook installation during OpenClaw's metadata-only registration pass ([#5383](https://github.com/mem0ai/mem0/pull/5383))
+
+**Security:**
+- Bumped `mem0ai` from `3.0.3` to `3.0.7` (latest Node SDK) — includes the transitive axios CVE remediation shipped in `3.0.6` ([#5460](https://github.com/mem0ai/mem0/pull/5460))
+- Added pnpm override `uuid@<11.1.1` → `>=11.1.1` to resolve an open MEDIUM Dependabot alert ([#5489](https://github.com/mem0ai/mem0/pull/5489))
+
+**Improvements:**
+- **Repo consolidation:** Plugin moved from repo-root `openclaw/` to `integrations/openclaw/`; `package.json` `repository.directory` updated to match so npm provenance links to the correct subdirectory ([#5491](https://github.com/mem0ai/mem0/pull/5491))
+
+**Tests:**
+- Added `customCategoryMapToList` unit tests and a `PlatformProvider` test asserting `custom_categories` is passed to the Mem0 SDK as a list ([#5345](https://github.com/mem0ai/mem0/pull/5345))
+- Added a regression test asserting `cli-metadata` registration registers only CLI commands and triggers no runtime side effects ([#5383](https://github.com/mem0ai/mem0/pull/5383))
+
+</Update>
+
+<Update label="2026-06-02" description="v1.0.12">
+
+**Docs:**
+- **Agent Mode onboarding:** README now documents an autonomous setup path for AI agents — `mem0 init --agent --json` mints an evaluation Mem0 API key with no email, OTP, or browser and exports it as `MEM0_API_KEY` for `openclaw mem0 init`; a human owner can later run `mem0 init --email <email>` to claim ownership without disrupting the agent ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+
+**Security:**
+- Added pnpm overrides to remediate advisories in transitive dependencies: `langsmith@<0.6.0` → `^0.6.0`, `picomatch@<2.3.2` → `^2.3.2`, `vite` → `^8.0.5`, and `@qdrant/js-client-rest` → `^1.18.0` ([#5294](https://github.com/mem0ai/mem0/pull/5294))
+
+**Dependencies:**
+- Bumped `mem0ai` from `3.0.2` to `3.0.3` ([#5212](https://github.com/mem0ai/mem0/pull/5212))
+- Bumped dev dependencies `@vitest/coverage-v8` and `vitest` from `^4.0.18` to `^4.1.7`; added `vite@^8.0.5` and `@qdrant/js-client-rest@^1.18.0` ([#5294](https://github.com/mem0ai/mem0/pull/5294))
+
+</Update>
+
 <Update label="2026-04-29" description="v1.0.11">

 **New Features:**
@@ -7,6 +7,22 @@ mode: "wide"
 <Tabs>
 <Tab title="Python">

+<Update label="2026-06-13" description="v2.0.6">
+
+**New Features:**
+- **Memory:** Add a contextual OSS-to-Platform notices system that surfaces occasional, situation-aware messages (first run, scale/performance thresholds, slow queries, and when temporal/decay features are relevant) pointing to the corresponding Mem0 Platform capabilities; disable via `MEM0_TELEMETRY=false` ([#5494](https://github.com/mem0ai/mem0/pull/5494))
+
+**Bug Fixes:**
+- **Memory:** Prevent a crash in `parse_vision_messages` when vision support is disabled ([#5487](https://github.com/mem0ai/mem0/pull/5487))
+- **Vector Stores:** Expose the `https` option on the Qdrant vector store configuration so TLS endpoints can be targeted explicitly ([#5380](https://github.com/mem0ai/mem0/pull/5380))
+- **Vector Stores:** Use valid S3 Vectors entity index names, fixing index operations that failed on invalid names ([#5416](https://github.com/mem0ai/mem0/pull/5416))
+- **Vector Stores:** Fix `search()` crashing with a `TypeError` in the LangChain vector store when a result score is `None` ([#5072](https://github.com/mem0ai/mem0/pull/5072))
+- **Vector Stores:** Use `is not None` instead of a truthiness check for vector/payload in the PGVector `update()` path, so valid empty/zero values are no longer skipped ([#5488](https://github.com/mem0ai/mem0/pull/5488))
+- **Vector Stores:** Index the Valkey `memory` field as `TEXT` rather than `TAG` so full-text search behaves correctly ([#5443](https://github.com/mem0ai/mem0/pull/5443))
+- **Vector Stores:** Implement `$not` filter support in the ChromaDB vector store ([#5485](https://github.com/mem0ai/mem0/pull/5485))
+
+</Update>
+
 <Update label="2026-06-10" description="v2.0.5">

 **New Features:**
@@ -960,6 +976,17 @@ See the [OSS v1 to v2 migration guide](https://docs.mem0.ai/migration/oss-v1-to-

 <Tab title="TypeScript">

+<Update label="2026-06-13" description="v3.0.8">
+
+**New Features:**
+- **Memory:** Add a contextual OSS-to-Platform notices system that surfaces occasional, situation-aware messages (first run, scale/performance thresholds, slow queries, and when temporal/decay features are relevant) pointing to the corresponding Mem0 Platform capabilities; disable via `MEM0_TELEMETRY=false` ([#5494](https://github.com/mem0ai/mem0/pull/5494))
+
+**Security:**
+- **Dependencies:** Upgrade `@langchain/community` to `^1.1.18` to remediate CVE-2026-27795 and CVE-2026-26019 ([#5510](https://github.com/mem0ai/mem0/pull/5510))
+- **Dependencies:** Resolve all open MEDIUM Dependabot alerts via pnpm overrides ([#5489](https://github.com/mem0ai/mem0/pull/5489))
+
+</Update>
+
 <Update label="2026-06-10" description="v3.0.7">

 **New Features:**
@@ -76,6 +76,7 @@ Let's see the available parameters for the `qdrant` config:
 | `path` | Path for the qdrant database | `/tmp/qdrant` |
 | `url` | Full URL for the qdrant server | `None` |
 | `api_key` | API key for the qdrant server | `None` |
+| `https` | Whether to force HTTPS on or off. `None` lets the client decide; set `False` for plain HTTP Qdrant with API key authentication. | `None` |
 | `on_disk` | For enabling persistent storage | `False` |
 </Tab>
 <Tab title="TypeScript">
@@ -90,4 +91,4 @@ Let's see the available parameters for the `qdrant` config:
 | `apiKey` | API key for the Qdrant server | `None` |
 | `onDisk` | For enabling persistent storage | `False` |
 </Tab>
-</Tabs>
+</Tabs>
@@ -6,9 +6,7 @@ versionFrom: "Open Source"
 versionTo: "Platform"
 ---

-# Migrate from Open Source to Platform
-
-Move your Mem0 implementation to managed infrastructure with enterprise features.
+## Overview

 | Scope                 | Effort         | Downtime                     |
 | --------------------- | -------------- | ---------------------------- |
@@ -30,12 +28,29 @@ Move your Mem0 implementation to managed infrastructure with enterprise features
  - **Production Grade**: Auto-scaling, high availability, dedicated support
 </Info>

-## Plan
+### Plan

 1. **Sign up**: Create an account on <a href="https://app.mem0.ai?utm_source=oss&utm_medium=migration-oss-to-platform" rel="nofollow">Mem0 Platform</a>.
 2. **Get API Key**: Navigate to **Settings > API Keys** and generate a new key.
 3. **Review Usage**: Identify where you instantiate `Memory` and where you call `search` or `get_all`.

+## Migrate with Agent Skill
+
+Paste this prompt into your coding agent. It uses a migration skill to produce a plan; once you review and approve it, the agent implements the changes.
+
+```text
+Migrate my project from Mem0 OSS to the Mem0 Platform SDK using the
+mem0-oss-to-platform skill in the mem0ai/mem0 repo, at
+skills/mem0-oss-to-platform/
+
+Get the skill whichever way is easiest:
+- install it: npx skills add https://github.com/mem0ai/mem0 --skill mem0-oss-to-platform
+- if the mem0 repo is cloned locally, read it from skills/mem0-oss-to-platform/
+- otherwise fetch that folder from github.com/mem0ai/mem0 (SKILL.md + references/)
+
+Then read SKILL.md and begin the migration.
+```
+
 ## Migrate

 ### 1. Import Memories Into Platform
@@ -45,10 +45,12 @@ Let your assistant execute an end-to-end workflow in an existing repo. Invoked a
 ```bash
 npx skills add https://github.com/mem0ai/mem0 --skill mem0-integrate
 npx skills add https://github.com/mem0ai/mem0 --skill mem0-test-integration
+npx skills add https://github.com/mem0ai/mem0 --skill mem0-oss-to-platform
 ```

 - `/mem0-integrate` — wire Mem0 into an existing repository using a goal-driven, test-first pipeline. Detects the stack, asks whether to use Platform or OSS, writes failing tests first, and keeps the integration additive and feature-flagged.
 - `/mem0-test-integration` — verify what `/mem0-integrate` produced. Runs the repo's native test suite and a real end-to-end smoke flow against your API key, then produces a scorecard.
+- `/mem0-oss-to-platform` — migrate an existing project from Mem0 OSS to the hosted Platform SDK. Audits where Mem0 is used, writes a reviewable migration plan, then executes it on approval.

 See the [skills index](https://github.com/mem0ai/mem0/tree/main/skills) for the full catalog.

@@ -1,31 +0,0 @@
-
-# Run the experiments
-run-mem0-add:
-	python run_experiments.py --technique_type mem0 --method add
-
-run-mem0-search:
-	python run_experiments.py --technique_type mem0 --method search --output_folder results/ --top_k 30
-
-run-mem0-plus-add:
-	python run_experiments.py --technique_type mem0 --method add --is_graph
-
-run-mem0-plus-search:
-	python run_experiments.py --technique_type mem0 --method search --is_graph --output_folder results/ --top_k 30
-
-run-rag:
-	python run_experiments.py --technique_type rag --chunk_size 500 --num_chunks 1 --output_folder results/
-
-run-full-context:
-	python run_experiments.py --technique_type rag --chunk_size -1 --num_chunks 1 --output_folder results/
-
-run-langmem:
-	python run_experiments.py --technique_type langmem --output_folder results/
-
-run-zep-add:
-	python run_experiments.py --technique_type zep --method add --output_folder results/
-
-run-zep-search:
-	python run_experiments.py --technique_type zep --method search --output_folder results/
-
-run-openai:
-	python run_experiments.py --technique_type openai --output_folder results/
@@ -1,198 +0,0 @@
-# Mem0: Building Production‑Ready AI Agents with Scalable Long‑Term Memory
-
-[![arXiv](https://img.shields.io/badge/arXiv-Paper-b31b1b.svg)](https://arxiv.org/abs/2504.19413)
-[![Website](https://img.shields.io/badge/Website-Project-blue)](https://mem0.ai/research)
-
-This repository contains the code and dataset for our paper: **Mem0: Building Production‑Ready AI Agents with Scalable Long‑Term Memory**.
-
-## 📋 Overview
-
-This project evaluates Mem0 and compares it with different memory and retrieval techniques for AI systems:
-
-1. **Established LOCOMO Benchmarks**: We evaluate against five established approaches from the literature: LoCoMo, ReadAgent, MemoryBank, MemGPT, and A-Mem.
-2. **Open-Source Memory Solutions**: We test promising open-source memory architectures including LangMem, which provides flexible memory management capabilities.
-3. **RAG Systems**: We implement Retrieval-Augmented Generation with various configurations, testing different chunk sizes and retrieval counts to optimize performance.
-4. **Full-Context Processing**: We examine the effectiveness of passing the entire conversation history within the context window of the LLM as a baseline approach.
-5. **Proprietary Memory Systems**: We evaluate OpenAI's built-in memory feature available in their ChatGPT interface to compare against commercial solutions.
-6. **Third-Party Memory Providers**: We incorporate Zep, a specialized memory management platform designed for AI agents, to assess the performance of dedicated memory infrastructure.
-
-We test these techniques on the LOCOMO dataset, which contains conversational data with various question types to evaluate memory recall and understanding.
-
-## 🔍 Dataset
-
-The LOCOMO dataset used in our experiments can be downloaded from our Google Drive repository:
-
-[Download LOCOMO Dataset](https://drive.google.com/drive/folders/1L-cTjTm0ohMsitsHg4dijSPJtqNflwX-?usp=drive_link)
-
-The dataset contains conversational data specifically designed to test memory recall and understanding across various question types and complexity levels.
-
-Place the dataset files in the `dataset/` directory:
- `locomo10.json`: Original dataset
- `locomo10_rag.json`: Dataset formatted for RAG experiments
-
-## 📁 Project Structure
-
-```
-.
-├── src/                  # Source code for different memory techniques
-│   ├── mem0/             # Implementation of the Mem0 technique
-│   ├── openai/           # Implementation of the OpenAI memory
-│   ├── zep/              # Implementation of the Zep memory
-│   ├── rag.py            # Implementation of the RAG technique
-│   └── langmem.py        # Implementation of the Language-based memory
-├── metrics/              # Code for evaluation metrics
-├── results/              # Results of experiments
-├── dataset/              # Dataset files
-├── evals.py              # Evaluation script
-├── run_experiments.py    # Script to run experiments
-├── generate_scores.py    # Script to generate scores from results
-└── prompts.py            # Prompts used for the models
-```
-
-## 🚀 Getting Started
-
-### Prerequisites
-
-Create a `.env` file with your API keys and configurations. The following keys are required:
-
-```
-# OpenAI API key for GPT models and embeddings
-OPENAI_API_KEY="your-openai-api-key"
-
-# Mem0 API keys (for Mem0 and Mem0+ techniques)
-MEM0_API_KEY="your-mem0-api-key"
-MEM0_PROJECT_ID="your-mem0-project-id"
-MEM0_ORGANIZATION_ID="your-mem0-organization-id"
-
-# Model configuration
-MODEL="gpt-4o-mini"  # or your preferred model
-EMBEDDING_MODEL="text-embedding-3-small"  # or your preferred embedding model
-ZEP_API_KEY="api-key-from-zep"
-```
-
-### Running Experiments
-
-You can run experiments using the provided Makefile commands:
-
-#### Memory Techniques
-
-```bash
-# Run Mem0 experiments
-make run-mem0-add         # Add memories using Mem0
-make run-mem0-search      # Search memories using Mem0
-
-# Run Mem0+ experiments (with graph-based search)
-make run-mem0-plus-add    # Add memories using Mem0+
-make run-mem0-plus-search # Search memories using Mem0+
-
-# Run RAG experiments
-make run-rag              # Run RAG with chunk size 500
-make run-full-context     # Run RAG with full context
-
-# Run LangMem experiments
-make run-langmem          # Run LangMem
-
-# Run Zep experiments
-make run-zep-add          # Add memories using Zep
-make run-zep-search       # Search memories using Zep
-
-# Run OpenAI experiments
-make run-openai           # Run OpenAI experiments
-```
-
-Alternatively, you can run experiments directly with custom parameters:
-
-```bash
-python run_experiments.py --technique_type [mem0|rag|langmem] [additional parameters]
-```
-
-#### Command-line Parameters:
-
-| Parameter | Description | Default |
-|-----------|-------------|---------|
-| `--technique_type` | Memory technique to use (mem0, rag, langmem) | mem0 |
-| `--method` | Method to use (add, search) | add |
-| `--chunk_size` | Chunk size for processing | 1000 |
-| `--top_k` | Number of top memories to retrieve | 30 |
-| `--filter_memories` | Whether to filter memories | False |
-| `--is_graph` | Whether to use graph-based search | False |
-| `--num_chunks` | Number of chunks to process for RAG | 1 |
-
-### 📊 Evaluation
-
-To evaluate results, run:
-
-```bash
-python evals.py --input_file [path_to_results] --output_file [output_path]
-```
-
-This script:
-1. Processes each question-answer pair
-2. Calculates BLEU and F1 scores automatically
-3. Uses an LLM judge to evaluate answer correctness
-4. Saves the combined results to the output file
-
-### 📈 Generating Scores
-
-Generate final scores with:
-
-```bash
-python generate_scores.py
-```
-
-This script:
-1. Loads the evaluation metrics data
-2. Calculates mean scores for each category (BLEU, F1, LLM)
-3. Reports the number of questions per category
-4. Calculates overall mean scores across all categories
-
-Example output:
-```
-Mean Scores Per Category:
-         bleu_score  f1_score  llm_score  count
-category                                       
-1           0.xxxx    0.xxxx     0.xxxx     xx
-2           0.xxxx    0.xxxx     0.xxxx     xx
-3           0.xxxx    0.xxxx     0.xxxx     xx
-
-Overall Mean Scores:
-bleu_score    0.xxxx
-f1_score      0.xxxx
-llm_score     0.xxxx
-```
-
-## 📏 Evaluation Metrics
-
-We use several metrics to evaluate the performance of different memory techniques:
-
-1. **BLEU Score**: Measures the similarity between the model's response and the ground truth
-2. **F1 Score**: Measures the harmonic mean of precision and recall
-3. **LLM Score**: A binary score (0 or 1) determined by an LLM judge evaluating the correctness of responses
-4. **Token Consumption**: Number of tokens required to generate final answer.
-5. **Latency**: Time required during search and to generate response.
-
-## 📚 Citation
-
-If you use this code or dataset in your research, please cite our paper:
-
-```bibtex
-@article{mem0,
-  title={Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory},
-  author={Chhikara, Prateek and Khant, Dev and Aryan, Saket and Singh, Taranjeet and Yadav, Deshraj},
-  journal={arXiv preprint arXiv:2504.19413},
-  year={2025}
-}
-```
-
-## 📄 License
-
-[MIT License](LICENSE)
-
-## 👥 Contributors
-
- [Prateek Chhikara](https://github.com/prateekchhikara)
- [Dev Khant](https://github.com/Dev-Khant)
- [Saket Aryan](https://github.com/whysosaket)
- [Taranjeet Singh](https://github.com/taranjeet)
- [Deshraj Yadav](https://github.com/deshraj)
-
@@ -1,81 +0,0 @@
-import argparse
-import concurrent.futures
-import json
-import threading
-from collections import defaultdict
-
-from metrics.llm_judge import evaluate_llm_judge
-from metrics.utils import calculate_bleu_scores, calculate_metrics
-from tqdm import tqdm
-
-
-def process_item(item_data):
-    k, v = item_data
-    local_results = defaultdict(list)
-
-    for item in v:
-        gt_answer = str(item["answer"])
-        pred_answer = str(item["response"])
-        category = str(item["category"])
-        question = str(item["question"])
-
-        # Skip category 5
-        if category == "5":
-            continue
-
-        metrics = calculate_metrics(pred_answer, gt_answer)
-        bleu_scores = calculate_bleu_scores(pred_answer, gt_answer)
-        llm_score = evaluate_llm_judge(question, gt_answer, pred_answer)
-
-        local_results[k].append(
-            {
-                "question": question,
-                "answer": gt_answer,
-                "response": pred_answer,
-                "category": category,
-                "bleu_score": bleu_scores["bleu1"],
-                "f1_score": metrics["f1"],
-                "llm_score": llm_score,
-            }
-        )
-
-    return local_results
-
-
-def main():
-    parser = argparse.ArgumentParser(description="Evaluate RAG results")
-    parser.add_argument(
-        "--input_file", type=str, default="results/rag_results_500_k1.json", help="Path to the input dataset file"
-    )
-    parser.add_argument(
-        "--output_file", type=str, default="evaluation_metrics.json", help="Path to save the evaluation results"
-    )
-    parser.add_argument("--max_workers", type=int, default=10, help="Maximum number of worker threads")
-
-    args = parser.parse_args()
-
-    with open(args.input_file, "r") as f:
-        data = json.load(f)
-
-    results = defaultdict(list)
-    results_lock = threading.Lock()
-
-    # Use ThreadPoolExecutor with specified workers
-    with concurrent.futures.ThreadPoolExecutor(max_workers=args.max_workers) as executor:
-        futures = [executor.submit(process_item, item_data) for item_data in data.items()]
-
-        for future in tqdm(concurrent.futures.as_completed(futures), total=len(futures)):
-            local_results = future.result()
-            with results_lock:
-                for k, items in local_results.items():
-                    results[k].extend(items)
-
-    # Save results to JSON file
-    with open(args.output_file, "w") as f:
-        json.dump(results, f, indent=4)
-
-    print(f"Results saved to {args.output_file}")
-
-
-if __name__ == "__main__":
-    main()
@@ -1,34 +0,0 @@
-import json
-
-import pandas as pd
-
-# Load the evaluation metrics data
-with open("evaluation_metrics.json", "r") as f:
-    data = json.load(f)
-
-# Flatten the data into a list of question items
-all_items = []
-for key in data:
-    all_items.extend(data[key])
-
-# Convert to DataFrame
-df = pd.DataFrame(all_items)
-
-# Convert category to numeric type
-df["category"] = pd.to_numeric(df["category"])
-
-# Calculate mean scores by category
-result = df.groupby("category").agg({"bleu_score": "mean", "f1_score": "mean", "llm_score": "mean"}).round(4)
-
-# Add count of questions per category
-result["count"] = df.groupby("category").size()
-
-# Print the results
-print("Mean Scores Per Category:")
-print(result)
-
-# Calculate overall means
-overall_means = df.agg({"bleu_score": "mean", "f1_score": "mean", "llm_score": "mean"}).round(4)
-
-print("\nOverall Mean Scores:")
-print(overall_means)
@@ -1,130 +0,0 @@
-import argparse
-import json
-from collections import defaultdict
-
-import numpy as np
-from openai import OpenAI
-
-from mem0.memory.utils import extract_json
-
-client = OpenAI()
-
-ACCURACY_PROMPT = """
-Your task is to label an answer to a question as ’CORRECT’ or ’WRONG’. You will be given the following data:
-    (1) a question (posed by one user to another user), 
-    (2) a ’gold’ (ground truth) answer, 
-    (3) a generated answer
-which you will score as CORRECT/WRONG.
-
-The point of the question is to ask about something one user should know about the other user based on their prior conversations.
-The gold answer will usually be a concise and short answer that includes the referenced topic, for example:
-Question: Do you remember what I got the last time I went to Hawaii?
-Gold answer: A shell necklace
-The generated answer might be much longer, but you should be generous with your grading - as long as it touches on the same topic as the gold answer, it should be counted as CORRECT. 
-
-For time related questions, the gold answer will be a specific date, month, year, etc. The generated answer might be much longer or use relative time references (like "last Tuesday" or "next month"), but you should be generous with your grading - as long as it refers to the same date or time period as the gold answer, it should be counted as CORRECT. Even if the format differs (e.g., "May 7th" vs "7 May"), consider it CORRECT if it's the same date.
-
-Now it's time for the real question:
-Question: {question}
-Gold answer: {gold_answer}
-Generated answer: {generated_answer}
-
-First, provide a short (one sentence) explanation of your reasoning, then finish with CORRECT or WRONG. 
-Do NOT include both CORRECT and WRONG in your response, or it will break the evaluation script.
-
-Just return the label CORRECT or WRONG in a json format with the key as "label".
-"""
-
-
-def evaluate_llm_judge(question, gold_answer, generated_answer):
-    """Evaluate the generated answer against the gold answer using an LLM judge."""
-    response = client.chat.completions.create(
-        model="gpt-4o-mini",
-        messages=[
-            {
-                "role": "user",
-                "content": ACCURACY_PROMPT.format(
-                    question=question, gold_answer=gold_answer, generated_answer=generated_answer
-                ),
-            }
-        ],
-        response_format={"type": "json_object"},
-        temperature=0.0,
-    )
-    label = json.loads(extract_json(response.choices[0].message.content))["label"]
-    return 1 if label == "CORRECT" else 0
-
-
-def main():
-    """Main function to evaluate RAG results using LLM judge."""
-    parser = argparse.ArgumentParser(description="Evaluate RAG results using LLM judge")
-    parser.add_argument(
-        "--input_file",
-        type=str,
-        default="results/default_run_v4_k30_new_graph.json",
-        help="Path to the input dataset file",
-    )
-
-    args = parser.parse_args()
-
-    dataset_path = args.input_file
-    output_path = f"results/llm_judge_{dataset_path.split('/')[-1]}"
-
-    with open(dataset_path, "r") as f:
-        data = json.load(f)
-
-    LLM_JUDGE = defaultdict(list)
-    RESULTS = defaultdict(list)
-
-    index = 0
-    for k, v in data.items():
-        for x in v:
-            question = x["question"]
-            gold_answer = x["answer"]
-            generated_answer = x["response"]
-            category = x["category"]
-
-            # Skip category 5
-            if int(category) == 5:
-                continue
-
-            # Evaluate the answer
-            label = evaluate_llm_judge(question, gold_answer, generated_answer)
-            LLM_JUDGE[category].append(label)
-
-            # Store the results
-            RESULTS[index].append(
-                {
-                    "question": question,
-                    "gt_answer": gold_answer,
-                    "response": generated_answer,
-                    "category": category,
-                    "llm_label": label,
-                }
-            )
-
-            # Save intermediate results
-            with open(output_path, "w") as f:
-                json.dump(RESULTS, f, indent=4)
-
-            # Print current accuracy for all categories
-            print("All categories accuracy:")
-            for cat, results in LLM_JUDGE.items():
-                if results:  # Only print if there are results for this category
-                    print(f"  Category {cat}: {np.mean(results):.4f} ({sum(results)}/{len(results)})")
-            print("------------------------------------------")
-        index += 1
-
-    # Save final results
-    with open(output_path, "w") as f:
-        json.dump(RESULTS, f, indent=4)
-
-    # Print final summary
-    print("PATH: ", dataset_path)
-    print("------------------------------------------")
-    for k, v in LLM_JUDGE.items():
-        print(k, np.mean(v))
-
-
-if __name__ == "__main__":
-    main()
@@ -1,211 +0,0 @@
-"""
-Borrowed from https://github.com/WujiangXu/AgenticMemory/blob/main/utils.py
-
-@article{xu2025mem,
-    title={A-mem: Agentic memory for llm agents},
-    author={Xu, Wujiang and Liang, Zujie and Mei, Kai and Gao, Hang and Tan, Juntao
-           and Zhang, Yongfeng},
-    journal={arXiv preprint arXiv:2502.12110},
-    year={2025}
-}
-"""
-
-import statistics
-from collections import defaultdict
-from typing import Dict, List, Union
-
-import nltk
-from bert_score import score as bert_score
-from nltk.translate.bleu_score import SmoothingFunction, sentence_bleu
-from nltk.translate.meteor_score import meteor_score
-from rouge_score import rouge_scorer
-from sentence_transformers import SentenceTransformer
-
-# from load_dataset import load_locomo_dataset, QA, Turn, Session, Conversation
-from sentence_transformers.util import pytorch_cos_sim
-
-# Download required NLTK data
-try:
-    nltk.download("punkt", quiet=True)
-    nltk.download("wordnet", quiet=True)
-except Exception as e:
-    print(f"Error downloading NLTK data: {e}")
-
-# Initialize SentenceTransformer model (this will be reused)
-try:
-    sentence_model = SentenceTransformer("all-MiniLM-L6-v2")
-except Exception as e:
-    print(f"Warning: Could not load SentenceTransformer model: {e}")
-    sentence_model = None
-
-
-def simple_tokenize(text):
-    """Simple tokenization function."""
-    # Convert to string if not already
-    text = str(text)
-    return text.lower().replace(".", " ").replace(",", " ").replace("!", " ").replace("?", " ").split()
-
-
-def calculate_rouge_scores(prediction: str, reference: str) -> Dict[str, float]:
-    """Calculate ROUGE scores for prediction against reference."""
-    scorer = rouge_scorer.RougeScorer(["rouge1", "rouge2", "rougeL"], use_stemmer=True)
-    scores = scorer.score(reference, prediction)
-    return {
-        "rouge1_f": scores["rouge1"].fmeasure,
-        "rouge2_f": scores["rouge2"].fmeasure,
-        "rougeL_f": scores["rougeL"].fmeasure,
-    }
-
-
-def calculate_bleu_scores(prediction: str, reference: str) -> Dict[str, float]:
-    """Calculate BLEU scores with different n-gram settings."""
-    pred_tokens = nltk.word_tokenize(prediction.lower())
-    ref_tokens = [nltk.word_tokenize(reference.lower())]
-
-    weights_list = [(1, 0, 0, 0), (0.5, 0.5, 0, 0), (0.33, 0.33, 0.33, 0), (0.25, 0.25, 0.25, 0.25)]
-    smooth = SmoothingFunction().method1
-
-    scores = {}
-    for n, weights in enumerate(weights_list, start=1):
-        try:
-            score = sentence_bleu(ref_tokens, pred_tokens, weights=weights, smoothing_function=smooth)
-        except Exception as e:
-            print(f"Error calculating BLEU score: {e}")
-            score = 0.0
-        scores[f"bleu{n}"] = score
-
-    return scores
-
-
-def calculate_bert_scores(prediction: str, reference: str) -> Dict[str, float]:
-    """Calculate BERTScore for semantic similarity."""
-    try:
-        P, R, F1 = bert_score([prediction], [reference], lang="en", verbose=False)
-        return {"bert_precision": P.item(), "bert_recall": R.item(), "bert_f1": F1.item()}
-    except Exception as e:
-        print(f"Error calculating BERTScore: {e}")
-        return {"bert_precision": 0.0, "bert_recall": 0.0, "bert_f1": 0.0}
-
-
-def calculate_meteor_score(prediction: str, reference: str) -> float:
-    """Calculate METEOR score for the prediction."""
-    try:
-        return meteor_score([reference.split()], prediction.split())
-    except Exception as e:
-        print(f"Error calculating METEOR score: {e}")
-        return 0.0
-
-
-def calculate_sentence_similarity(prediction: str, reference: str) -> float:
-    """Calculate sentence embedding similarity using SentenceBERT."""
-    if sentence_model is None:
-        return 0.0
-    try:
-        # Encode sentences
-        embedding1 = sentence_model.encode([prediction], convert_to_tensor=True)
-        embedding2 = sentence_model.encode([reference], convert_to_tensor=True)
-
-        # Calculate cosine similarity
-        similarity = pytorch_cos_sim(embedding1, embedding2).item()
-        return float(similarity)
-    except Exception as e:
-        print(f"Error calculating sentence similarity: {e}")
-        return 0.0
-
-
-def calculate_metrics(prediction: str, reference: str) -> Dict[str, float]:
-    """Calculate comprehensive evaluation metrics for a prediction."""
-    # Handle empty or None values
-    if not prediction or not reference:
-        return {
-            "exact_match": 0,
-            "f1": 0.0,
-            "rouge1_f": 0.0,
-            "rouge2_f": 0.0,
-            "rougeL_f": 0.0,
-            "bleu1": 0.0,
-            "bleu2": 0.0,
-            "bleu3": 0.0,
-            "bleu4": 0.0,
-            "bert_f1": 0.0,
-            "meteor": 0.0,
-            "sbert_similarity": 0.0,
-        }
-
-    # Convert to strings if they're not already
-    prediction = str(prediction).strip()
-    reference = str(reference).strip()
-
-    # Calculate exact match
-    exact_match = int(prediction.lower() == reference.lower())
-
-    # Calculate token-based F1 score
-    pred_tokens = set(simple_tokenize(prediction))
-    ref_tokens = set(simple_tokenize(reference))
-    common_tokens = pred_tokens & ref_tokens
-
-    if not pred_tokens or not ref_tokens:
-        f1 = 0.0
-    else:
-        precision = len(common_tokens) / len(pred_tokens)
-        recall = len(common_tokens) / len(ref_tokens)
-        f1 = 2 * precision * recall / (precision + recall) if (precision + recall) > 0 else 0.0
-
-    # Calculate all scores
-    bleu_scores = calculate_bleu_scores(prediction, reference)
-
-    # Combine all metrics
-    metrics = {
-        "exact_match": exact_match,
-        "f1": f1,
-        **bleu_scores,
-    }
-
-    return metrics
-
-
-def aggregate_metrics(
-    all_metrics: List[Dict[str, float]], all_categories: List[int]
-) -> Dict[str, Dict[str, Union[float, Dict[str, float]]]]:
-    """Calculate aggregate statistics for all metrics, split by category."""
-    if not all_metrics:
-        return {}
-
-    # Initialize aggregates for overall and per-category metrics
-    aggregates = defaultdict(list)
-    category_aggregates = defaultdict(lambda: defaultdict(list))
-
-    # Collect all values for each metric, both overall and per category
-    for metrics, category in zip(all_metrics, all_categories):
-        for metric_name, value in metrics.items():
-            aggregates[metric_name].append(value)
-            category_aggregates[category][metric_name].append(value)
-
-    # Calculate statistics for overall metrics
-    results = {"overall": {}}
-
-    for metric_name, values in aggregates.items():
-        results["overall"][metric_name] = {
-            "mean": statistics.mean(values),
-            "std": statistics.stdev(values) if len(values) > 1 else 0.0,
-            "median": statistics.median(values),
-            "min": min(values),
-            "max": max(values),
-            "count": len(values),
-        }
-
-    # Calculate statistics for each category
-    for category in sorted(category_aggregates.keys()):
-        results[f"category_{category}"] = {}
-        for metric_name, values in category_aggregates[category].items():
-            if values:  # Only calculate if we have values for this category
-                results[f"category_{category}"][metric_name] = {
-                    "mean": statistics.mean(values),
-                    "std": statistics.stdev(values) if len(values) > 1 else 0.0,
-                    "median": statistics.median(values),
-                    "min": min(values),
-                    "max": max(values),
-                    "count": len(values),
-                }
-
-    return results
@@ -1,147 +0,0 @@
-ANSWER_PROMPT_GRAPH = """
-    You are an intelligent memory assistant tasked with retrieving accurate information from 
-    conversation memories.
-
-    # CONTEXT:
-    You have access to memories from two speakers in a conversation. These memories contain 
-    timestamped information that may be relevant to answering the question. You also have 
-    access to knowledge graph relations for each user, showing connections between entities, 
-    concepts, and events relevant to that user.
-
-    # INSTRUCTIONS:
-    1. Carefully analyze all provided memories from both speakers
-    2. Pay special attention to the timestamps to determine the answer
-    3. If the question asks about a specific event or fact, look for direct evidence in the 
-       memories
-    4. If the memories contain contradictory information, prioritize the most recent memory
-    5. If there is a question about time references (like "last year", "two months ago", 
-       etc.), calculate the actual date based on the memory timestamp. For example, if a 
-       memory from 4 May 2022 mentions "went to India last year," then the trip occurred 
-       in 2021.
-    6. Always convert relative time references to specific dates, months, or years. For 
-       example, convert "last year" to "2022" or "two months ago" to "March 2023" based 
-       on the memory timestamp. Ignore the reference while answering the question.
-    7. Focus only on the content of the memories from both speakers. Do not confuse 
-       character names mentioned in memories with the actual users who created those 
-       memories.
-    8. The answer should be less than 5-6 words.
-    9. Use the knowledge graph relations to understand the user's knowledge network and 
-       identify important relationships between entities in the user's world.
-
-    # APPROACH (Think step by step):
-    1. First, examine all memories that contain information related to the question
-    2. Examine the timestamps and content of these memories carefully
-    3. Look for explicit mentions of dates, times, locations, or events that answer the 
-       question
-    4. If the answer requires calculation (e.g., converting relative time references), 
-       show your work
-    5. Analyze the knowledge graph relations to understand the user's knowledge context
-    6. Formulate a precise, concise answer based solely on the evidence in the memories
-    7. Double-check that your answer directly addresses the question asked
-    8. Ensure your final answer is specific and avoids vague time references
-
-    Memories for user {{speaker_1_user_id}}:
-
-    {{speaker_1_memories}}
-
-    Relations for user {{speaker_1_user_id}}:
-
-    {{speaker_1_graph_memories}}
-
-    Memories for user {{speaker_2_user_id}}:
-
-    {{speaker_2_memories}}
-
-    Relations for user {{speaker_2_user_id}}:
-
-    {{speaker_2_graph_memories}}
-
-    Question: {{question}}
-
-    Answer:
-    """
-
-
-ANSWER_PROMPT = """
-    You are an intelligent memory assistant tasked with retrieving accurate information from conversation memories.
-
-    # CONTEXT:
-    You have access to memories from two speakers in a conversation. These memories contain 
-    timestamped information that may be relevant to answering the question.
-
-    # INSTRUCTIONS:
-    1. Carefully analyze all provided memories from both speakers
-    2. Pay special attention to the timestamps to determine the answer
-    3. If the question asks about a specific event or fact, look for direct evidence in the memories
-    4. If the memories contain contradictory information, prioritize the most recent memory
-    5. If there is a question about time references (like "last year", "two months ago", etc.), 
-       calculate the actual date based on the memory timestamp. For example, if a memory from 
-       4 May 2022 mentions "went to India last year," then the trip occurred in 2021.
-    6. Always convert relative time references to specific dates, months, or years. For example, 
-       convert "last year" to "2022" or "two months ago" to "March 2023" based on the memory 
-       timestamp. Ignore the reference while answering the question.
-    7. Focus only on the content of the memories from both speakers. Do not confuse character 
-       names mentioned in memories with the actual users who created those memories.
-    8. The answer should be less than 5-6 words.
-
-    # APPROACH (Think step by step):
-    1. First, examine all memories that contain information related to the question
-    2. Examine the timestamps and content of these memories carefully
-    3. Look for explicit mentions of dates, times, locations, or events that answer the question
-    4. If the answer requires calculation (e.g., converting relative time references), show your work
-    5. Formulate a precise, concise answer based solely on the evidence in the memories
-    6. Double-check that your answer directly addresses the question asked
-    7. Ensure your final answer is specific and avoids vague time references
-
-    Memories for user {{speaker_1_user_id}}:
-
-    {{speaker_1_memories}}
-
-    Memories for user {{speaker_2_user_id}}:
-
-    {{speaker_2_memories}}
-
-    Question: {{question}}
-
-    Answer:
-    """
-
-
-ANSWER_PROMPT_ZEP = """
-    You are an intelligent memory assistant tasked with retrieving accurate information from conversation memories.
-
-    # CONTEXT:
-    You have access to memories from a conversation. These memories contain
-    timestamped information that may be relevant to answering the question.
-
-    # INSTRUCTIONS:
-    1. Carefully analyze all provided memories
-    2. Pay special attention to the timestamps to determine the answer
-    3. If the question asks about a specific event or fact, look for direct evidence in the memories
-    4. If the memories contain contradictory information, prioritize the most recent memory
-    5. If there is a question about time references (like "last year", "two months ago", etc.), 
-       calculate the actual date based on the memory timestamp. For example, if a memory from 
-       4 May 2022 mentions "went to India last year," then the trip occurred in 2021.
-    6. Always convert relative time references to specific dates, months, or years. For example, 
-       convert "last year" to "2022" or "two months ago" to "March 2023" based on the memory 
-       timestamp. Ignore the reference while answering the question.
-    7. Focus only on the content of the memories. Do not confuse character 
-       names mentioned in memories with the actual users who created those memories.
-    8. The answer should be less than 5-6 words.
-
-    # APPROACH (Think step by step):
-    1. First, examine all memories that contain information related to the question
-    2. Examine the timestamps and content of these memories carefully
-    3. Look for explicit mentions of dates, times, locations, or events that answer the question
-    4. If the answer requires calculation (e.g., converting relative time references), show your work
-    5. Formulate a precise, concise answer based solely on the evidence in the memories
-    6. Double-check that your answer directly addresses the question asked
-    7. Ensure your final answer is specific and avoids vague time references
-
-    Memories:
-
-    {{memories}}
-
-    Question: {{question}}
-    Answer:
-    """
@@ -1,75 +0,0 @@
-import argparse
-import os
-
-from src.langmem import LangMemManager
-from src.memzero.add import MemoryADD
-from src.memzero.search import MemorySearch
-from src.openai.predict import OpenAIPredict
-from src.rag import RAGManager
-from src.utils import METHODS, TECHNIQUES
-from src.zep.add import ZepAdd
-from src.zep.search import ZepSearch
-
-
-class Experiment:
-    def __init__(self, technique_type, chunk_size):
-        self.technique_type = technique_type
-        self.chunk_size = chunk_size
-
-    def run(self):
-        print(f"Running experiment with technique: {self.technique_type}, chunk size: {self.chunk_size}")
-
-
-def main():
-    parser = argparse.ArgumentParser(description="Run memory experiments")
-    parser.add_argument("--technique_type", choices=TECHNIQUES, default="mem0", help="Memory technique to use")
-    parser.add_argument("--method", choices=METHODS, default="add", help="Method to use")
-    parser.add_argument("--chunk_size", type=int, default=1000, help="Chunk size for processing")
-    parser.add_argument("--output_folder", type=str, default="results/", help="Output path for results")
-    parser.add_argument("--top_k", type=int, default=30, help="Number of top memories to retrieve")
-    parser.add_argument("--filter_memories", action="store_true", default=False, help="Whether to filter memories")
-    parser.add_argument("--is_graph", action="store_true", default=False, help="Whether to use graph-based search")
-    parser.add_argument("--num_chunks", type=int, default=1, help="Number of chunks to process")
-
-    args = parser.parse_args()
-
-    # Add your experiment logic here
-    print(f"Running experiments with technique: {args.technique_type}, chunk size: {args.chunk_size}")
-
-    if args.technique_type == "mem0":
-        if args.method == "add":
-            memory_manager = MemoryADD(data_path="dataset/locomo10.json", is_graph=args.is_graph)
-            memory_manager.process_all_conversations()
-        elif args.method == "search":
-            output_file_path = os.path.join(
-                args.output_folder,
-                f"mem0_results_top_{args.top_k}_filter_{args.filter_memories}_graph_{args.is_graph}.json",
-            )
-            memory_searcher = MemorySearch(output_file_path, args.top_k, args.filter_memories, args.is_graph)
-            memory_searcher.process_data_file("dataset/locomo10.json")
-    elif args.technique_type == "rag":
-        output_file_path = os.path.join(args.output_folder, f"rag_results_{args.chunk_size}_k{args.num_chunks}.json")
-        rag_manager = RAGManager(data_path="dataset/locomo10_rag.json", chunk_size=args.chunk_size, k=args.num_chunks)
-        rag_manager.process_all_conversations(output_file_path)
-    elif args.technique_type == "langmem":
-        output_file_path = os.path.join(args.output_folder, "langmem_results.json")
-        langmem_manager = LangMemManager(dataset_path="dataset/locomo10_rag.json")
-        langmem_manager.process_all_conversations(output_file_path)
-    elif args.technique_type == "zep":
-        if args.method == "add":
-            zep_manager = ZepAdd(data_path="dataset/locomo10.json")
-            zep_manager.process_all_conversations("1")
-        elif args.method == "search":
-            output_file_path = os.path.join(args.output_folder, "zep_search_results.json")
-            zep_manager = ZepSearch()
-            zep_manager.process_data_file("dataset/locomo10.json", "1", output_file_path)
-    elif args.technique_type == "openai":
-        output_file_path = os.path.join(args.output_folder, "openai_results.json")
-        openai_manager = OpenAIPredict()
-        openai_manager.process_data_file("dataset/locomo10.json", output_file_path)
-    else:
-        raise ValueError(f"Invalid technique type: {args.technique_type}")
-
-
-if __name__ == "__main__":
-    main()
@@ -1,185 +0,0 @@
-import json
-import multiprocessing as mp
-import os
-import time
-from collections import defaultdict
-
-from dotenv import load_dotenv
-from jinja2 import Template
-from langgraph.checkpoint.memory import MemorySaver
-from langgraph.prebuilt import create_react_agent
-from langgraph.store.memory import InMemoryStore
-from langgraph.utils.config import get_store
-from langmem import create_manage_memory_tool, create_search_memory_tool
-from openai import OpenAI
-from prompts import ANSWER_PROMPT
-from tqdm import tqdm
-
-load_dotenv()
-
-client = OpenAI()
-
-ANSWER_PROMPT_TEMPLATE = Template(ANSWER_PROMPT)
-
-
-def get_answer(question, speaker_1_user_id, speaker_1_memories, speaker_2_user_id, speaker_2_memories):
-    prompt = ANSWER_PROMPT_TEMPLATE.render(
-        question=question,
-        speaker_1_user_id=speaker_1_user_id,
-        speaker_1_memories=speaker_1_memories,
-        speaker_2_user_id=speaker_2_user_id,
-        speaker_2_memories=speaker_2_memories,
-    )
-
-    t1 = time.time()
-    response = client.chat.completions.create(
-        model=os.getenv("MODEL"), messages=[{"role": "system", "content": prompt}], temperature=0.0
-    )
-    t2 = time.time()
-    return response.choices[0].message.content, t2 - t1
-
-
-def prompt(state):
-    """Prepare the messages for the LLM."""
-    store = get_store()
-    memories = store.search(
-        ("memories",),
-        query=state["messages"][-1].content,
-    )
-    system_msg = f"""You are a helpful assistant.
-
-## Memories
-<memories>
-{memories}
-</memories>
-"""
-    return [{"role": "system", "content": system_msg}, *state["messages"]]
-
-
-class LangMem:
-    def __init__(
-        self,
-    ):
-        self.store = InMemoryStore(
-            index={
-                "dims": 1536,
-                "embed": f"openai:{os.getenv('EMBEDDING_MODEL')}",
-            }
-        )
-        self.checkpointer = MemorySaver()  # Checkpoint graph state
-
-        self.agent = create_react_agent(
-            f"openai:{os.getenv('MODEL')}",
-            prompt=prompt,
-            tools=[
-                create_manage_memory_tool(namespace=("memories",)),
-                create_search_memory_tool(namespace=("memories",)),
-            ],
-            store=self.store,
-            checkpointer=self.checkpointer,
-        )
-
-    def add_memory(self, message, config):
-        return self.agent.invoke({"messages": [{"role": "user", "content": message}]}, config=config)
-
-    def search_memory(self, query, config):
-        try:
-            t1 = time.time()
-            response = self.agent.invoke({"messages": [{"role": "user", "content": query}]}, config=config)
-            t2 = time.time()
-            return response["messages"][-1].content, t2 - t1
-        except Exception as e:
-            print(f"Error in search_memory: {e}")
-            return "", t2 - t1
-
-
-class LangMemManager:
-    def __init__(self, dataset_path):
-        self.dataset_path = dataset_path
-        with open(self.dataset_path, "r") as f:
-            self.data = json.load(f)
-
-    def process_all_conversations(self, output_file_path):
-        OUTPUT = defaultdict(list)
-
-        # Process conversations in parallel with multiple workers
-        def process_conversation(key_value_pair):
-            key, value = key_value_pair
-            result = defaultdict(list)
-
-            chat_history = value["conversation"]
-            questions = value["question"]
-
-            agent1 = LangMem()
-            agent2 = LangMem()
-            config = {"configurable": {"thread_id": f"thread-{key}"}}
-            speakers = set()
-
-            # Identify speakers
-            for conv in chat_history:
-                speakers.add(conv["speaker"])
-
-            if len(speakers) != 2:
-                raise ValueError(f"Expected 2 speakers, got {len(speakers)}")
-
-            speaker1 = list(speakers)[0]
-            speaker2 = list(speakers)[1]
-
-            # Add memories for each message
-            for conv in tqdm(chat_history, desc=f"Processing messages {key}", leave=False):
-                message = f"{conv['timestamp']} | {conv['speaker']}: {conv['text']}"
-                if conv["speaker"] == speaker1:
-                    agent1.add_memory(message, config)
-                elif conv["speaker"] == speaker2:
-                    agent2.add_memory(message, config)
-                else:
-                    raise ValueError(f"Expected speaker1 or speaker2, got {conv['speaker']}")
-
-            # Process questions
-            for q in tqdm(questions, desc=f"Processing questions {key}", leave=False):
-                category = q["category"]
-
-                if int(category) == 5:
-                    continue
-
-                answer = q["answer"]
-                question = q["question"]
-                response1, speaker1_memory_time = agent1.search_memory(question, config)
-                response2, speaker2_memory_time = agent2.search_memory(question, config)
-
-                generated_answer, response_time = get_answer(question, speaker1, response1, speaker2, response2)
-
-                result[key].append(
-                    {
-                        "question": question,
-                        "answer": answer,
-                        "response1": response1,
-                        "response2": response2,
-                        "category": category,
-                        "speaker1_memory_time": speaker1_memory_time,
-                        "speaker2_memory_time": speaker2_memory_time,
-                        "response_time": response_time,
-                        "response": generated_answer,
-                    }
-                )
-
-            return result
-
-        # Use multiprocessing to process conversations in parallel
-        with mp.Pool(processes=10) as pool:
-            results = list(
-                tqdm(
-                    pool.imap(process_conversation, list(self.data.items())),
-                    total=len(self.data),
-                    desc="Processing conversations",
-                )
-            )
-
-        # Combine results from all workers
-        for result in results:
-            for key, items in result.items():
-                OUTPUT[key].extend(items)
-
-        # Save final results
-        with open(output_file_path, "w") as f:
-            json.dump(OUTPUT, f, indent=4)
@@ -1,141 +0,0 @@
-import json
-import os
-import threading
-import time
-from concurrent.futures import ThreadPoolExecutor
-
-from dotenv import load_dotenv
-from tqdm import tqdm
-
-from mem0 import MemoryClient
-
-load_dotenv()
-
-
-# Update custom instructions
-custom_instructions = """
-Generate personal memories that follow these guidelines:
-
-1. Each memory should be self-contained with complete context, including:
-   - The person's name, do not use "user" while creating memories
-   - Personal details (career aspirations, hobbies, life circumstances)
-   - Emotional states and reactions
-   - Ongoing journeys or future plans
-   - Specific dates when events occurred
-
-2. Include meaningful personal narratives focusing on:
-   - Identity and self-acceptance journeys
-   - Family planning and parenting
-   - Creative outlets and hobbies
-   - Mental health and self-care activities
-   - Career aspirations and education goals
-   - Important life events and milestones
-
-3. Make each memory rich with specific details rather than general statements
-   - Include timeframes (exact dates when possible)
-   - Name specific activities (e.g., "charity race for mental health" rather than just "exercise")
-   - Include emotional context and personal growth elements
-
-4. Extract memories only from user messages, not incorporating assistant responses
-
-5. Format each memory as a paragraph with a clear narrative structure that captures the person's experience, challenges, and aspirations
-"""
-
-
-class MemoryADD:
-    def __init__(self, data_path=None, batch_size=2, is_graph=False):
-        self.mem0_client = MemoryClient(
-            api_key=os.getenv("MEM0_API_KEY"),
-            org_id=os.getenv("MEM0_ORGANIZATION_ID"),
-            project_id=os.getenv("MEM0_PROJECT_ID"),
-        )
-
-        self.mem0_client.update_project(custom_instructions=custom_instructions)
-        self.batch_size = batch_size
-        self.data_path = data_path
-        self.data = None
-        self.is_graph = is_graph
-        if data_path:
-            self.load_data()
-
-    def load_data(self):
-        with open(self.data_path, "r") as f:
-            self.data = json.load(f)
-        return self.data
-
-    def add_memory(self, user_id, message, metadata, retries=3):
-        for attempt in range(retries):
-            try:
-                _ = self.mem0_client.add(
-                    message, user_id=user_id, version="v2", metadata=metadata, enable_graph=self.is_graph
-                )
-                return
-            except Exception as e:
-                if attempt < retries - 1:
-                    time.sleep(1)  # Wait before retrying
-                    continue
-                else:
-                    raise e
-
-    def add_memories_for_speaker(self, speaker, messages, timestamp, desc):
-        for i in tqdm(range(0, len(messages), self.batch_size), desc=desc):
-            batch_messages = messages[i : i + self.batch_size]
-            self.add_memory(speaker, batch_messages, metadata={"timestamp": timestamp})
-
-    def process_conversation(self, item, idx):
-        conversation = item["conversation"]
-        speaker_a = conversation["speaker_a"]
-        speaker_b = conversation["speaker_b"]
-
-        speaker_a_user_id = f"{speaker_a}_{idx}"
-        speaker_b_user_id = f"{speaker_b}_{idx}"
-
-        # delete all memories for the two users
-        self.mem0_client.delete_all(user_id=speaker_a_user_id)
-        self.mem0_client.delete_all(user_id=speaker_b_user_id)
-
-        for key in conversation.keys():
-            if key in ["speaker_a", "speaker_b"] or "date" in key or "timestamp" in key:
-                continue
-
-            date_time_key = key + "_date_time"
-            timestamp = conversation[date_time_key]
-            chats = conversation[key]
-
-            messages = []
-            messages_reverse = []
-            for chat in chats:
-                if chat["speaker"] == speaker_a:
-                    messages.append({"role": "user", "content": f"{speaker_a}: {chat['text']}"})
-                    messages_reverse.append({"role": "assistant", "content": f"{speaker_a}: {chat['text']}"})
-                elif chat["speaker"] == speaker_b:
-                    messages.append({"role": "assistant", "content": f"{speaker_b}: {chat['text']}"})
-                    messages_reverse.append({"role": "user", "content": f"{speaker_b}: {chat['text']}"})
-                else:
-                    raise ValueError(f"Unknown speaker: {chat['speaker']}")
-
-            # add memories for the two users on different threads
-            thread_a = threading.Thread(
-                target=self.add_memories_for_speaker,
-                args=(speaker_a_user_id, messages, timestamp, "Adding Memories for Speaker A"),
-            )
-            thread_b = threading.Thread(
-                target=self.add_memories_for_speaker,
-                args=(speaker_b_user_id, messages_reverse, timestamp, "Adding Memories for Speaker B"),
-            )
-
-            thread_a.start()
-            thread_b.start()
-            thread_a.join()
-            thread_b.join()
-
-        print("Messages added successfully")
-
-    def process_all_conversations(self, max_workers=10):
-        if not self.data:
-            raise ValueError("No data loaded. Please set data_path and call load_data() first.")
-        with ThreadPoolExecutor(max_workers=max_workers) as executor:
-            futures = [executor.submit(self.process_conversation, item, idx) for idx, item in enumerate(self.data)]
-
-            for future in futures:
-                future.result()
@@ -1,215 +0,0 @@
-import json
-import os
-import time
-from collections import defaultdict
-from concurrent.futures import ThreadPoolExecutor
-
-from dotenv import load_dotenv
-from jinja2 import Template
-from openai import OpenAI
-from prompts import ANSWER_PROMPT, ANSWER_PROMPT_GRAPH
-from tqdm import tqdm
-
-from mem0 import MemoryClient
-
-load_dotenv()
-
-
-class MemorySearch:
-    def __init__(self, output_path="results.json", top_k=10, filter_memories=False, is_graph=False):
-        self.mem0_client = MemoryClient(
-            api_key=os.getenv("MEM0_API_KEY"),
-            org_id=os.getenv("MEM0_ORGANIZATION_ID"),
-            project_id=os.getenv("MEM0_PROJECT_ID"),
-        )
-        self.top_k = top_k
-        self.openai_client = OpenAI()
-        self.results = defaultdict(list)
-        self.output_path = output_path
-        self.filter_memories = filter_memories
-        self.is_graph = is_graph
-
-        if self.is_graph:
-            self.ANSWER_PROMPT = ANSWER_PROMPT_GRAPH
-        else:
-            self.ANSWER_PROMPT = ANSWER_PROMPT
-
-    def search_memory(self, user_id, query, max_retries=3, retry_delay=1):
-        start_time = time.time()
-        retries = 0
-        while retries < max_retries:
-            try:
-                if self.is_graph:
-                    print("Searching with graph")
-                    memories = self.mem0_client.search(
-                        query,
-                        user_id=user_id,
-                        top_k=self.top_k,
-                        filter_memories=self.filter_memories,
-                        enable_graph=True,
-                        output_format="v1.1",
-                    )
-                else:
-                    memories = self.mem0_client.search(
-                        query, user_id=user_id, top_k=self.top_k, filter_memories=self.filter_memories
-                    )
-                break
-            except Exception as e:
-                print("Retrying...")
-                retries += 1
-                if retries >= max_retries:
-                    raise e
-                time.sleep(retry_delay)
-
-        end_time = time.time()
-        if not self.is_graph:
-            semantic_memories = [
-                {
-                    "memory": memory["memory"],
-                    "timestamp": memory["metadata"]["timestamp"],
-                    "score": round(memory["score"], 2),
-                }
-                for memory in memories
-            ]
-            graph_memories = None
-        else:
-            semantic_memories = [
-                {
-                    "memory": memory["memory"],
-                    "timestamp": memory["metadata"]["timestamp"],
-                    "score": round(memory["score"], 2),
-                }
-                for memory in memories["results"]
-            ]
-            graph_memories = [
-                {"source": relation["source"], "relationship": relation["relationship"], "target": relation["target"]}
-                for relation in memories["relations"]
-            ]
-        return semantic_memories, graph_memories, end_time - start_time
-
-    def answer_question(self, speaker_1_user_id, speaker_2_user_id, question, answer, category):
-        speaker_1_memories, speaker_1_graph_memories, speaker_1_memory_time = self.search_memory(
-            speaker_1_user_id, question
-        )
-        speaker_2_memories, speaker_2_graph_memories, speaker_2_memory_time = self.search_memory(
-            speaker_2_user_id, question
-        )
-
-        search_1_memory = [f"{item['timestamp']}: {item['memory']}" for item in speaker_1_memories]
-        search_2_memory = [f"{item['timestamp']}: {item['memory']}" for item in speaker_2_memories]
-
-        template = Template(self.ANSWER_PROMPT)
-        answer_prompt = template.render(
-            speaker_1_user_id=speaker_1_user_id.split("_")[0],
-            speaker_2_user_id=speaker_2_user_id.split("_")[0],
-            speaker_1_memories=json.dumps(search_1_memory, indent=4),
-            speaker_2_memories=json.dumps(search_2_memory, indent=4),
-            speaker_1_graph_memories=json.dumps(speaker_1_graph_memories, indent=4),
-            speaker_2_graph_memories=json.dumps(speaker_2_graph_memories, indent=4),
-            question=question,
-        )
-
-        t1 = time.time()
-        response = self.openai_client.chat.completions.create(
-            model=os.getenv("MODEL"), messages=[{"role": "system", "content": answer_prompt}], temperature=0.0
-        )
-        t2 = time.time()
-        response_time = t2 - t1
-        return (
-            response.choices[0].message.content,
-            speaker_1_memories,
-            speaker_2_memories,
-            speaker_1_memory_time,
-            speaker_2_memory_time,
-            speaker_1_graph_memories,
-            speaker_2_graph_memories,
-            response_time,
-        )
-
-    def process_question(self, val, speaker_a_user_id, speaker_b_user_id):
-        question = val.get("question", "")
-        answer = val.get("answer", "")
-        category = val.get("category", -1)
-        evidence = val.get("evidence", [])
-        adversarial_answer = val.get("adversarial_answer", "")
-
-        (
-            response,
-            speaker_1_memories,
-            speaker_2_memories,
-            speaker_1_memory_time,
-            speaker_2_memory_time,
-            speaker_1_graph_memories,
-            speaker_2_graph_memories,
-            response_time,
-        ) = self.answer_question(speaker_a_user_id, speaker_b_user_id, question, answer, category)
-
-        result = {
-            "question": question,
-            "answer": answer,
-            "category": category,
-            "evidence": evidence,
-            "response": response,
-            "adversarial_answer": adversarial_answer,
-            "speaker_1_memories": speaker_1_memories,
-            "speaker_2_memories": speaker_2_memories,
-            "num_speaker_1_memories": len(speaker_1_memories),
-            "num_speaker_2_memories": len(speaker_2_memories),
-            "speaker_1_memory_time": speaker_1_memory_time,
-            "speaker_2_memory_time": speaker_2_memory_time,
-            "speaker_1_graph_memories": speaker_1_graph_memories,
-            "speaker_2_graph_memories": speaker_2_graph_memories,
-            "response_time": response_time,
-        }
-
-        # Save results after each question is processed
-        with open(self.output_path, "w") as f:
-            json.dump(self.results, f, indent=4)
-
-        return result
-
-    def process_data_file(self, file_path):
-        with open(file_path, "r") as f:
-            data = json.load(f)
-
-        for idx, item in tqdm(enumerate(data), total=len(data), desc="Processing conversations"):
-            qa = item["qa"]
-            conversation = item["conversation"]
-            speaker_a = conversation["speaker_a"]
-            speaker_b = conversation["speaker_b"]
-
-            speaker_a_user_id = f"{speaker_a}_{idx}"
-            speaker_b_user_id = f"{speaker_b}_{idx}"
-
-            for question_item in tqdm(
-                qa, total=len(qa), desc=f"Processing questions for conversation {idx}", leave=False
-            ):
-                result = self.process_question(question_item, speaker_a_user_id, speaker_b_user_id)
-                self.results[idx].append(result)
-
-                # Save results after each question is processed
-                with open(self.output_path, "w") as f:
-                    json.dump(self.results, f, indent=4)
-
-        # Final save at the end
-        with open(self.output_path, "w") as f:
-            json.dump(self.results, f, indent=4)
-
-    def process_questions_parallel(self, qa_list, speaker_a_user_id, speaker_b_user_id, max_workers=1):
-        def process_single_question(val):
-            result = self.process_question(val, speaker_a_user_id, speaker_b_user_id)
-            # Save results after each question is processed
-            with open(self.output_path, "w") as f:
-                json.dump(self.results, f, indent=4)
-            return result
-
-        with ThreadPoolExecutor(max_workers=max_workers) as executor:
-            results = list(
-                tqdm(executor.map(process_single_question, qa_list), total=len(qa_list), desc="Answering Questions")
-            )
-
-        # Final save at the end
-        with open(self.output_path, "w") as f:
-            json.dump(self.results, f, indent=4)
-
-        return results
@@ -1,131 +0,0 @@
-import argparse
-import json
-import os
-import time
-from collections import defaultdict
-
-from dotenv import load_dotenv
-from jinja2 import Template
-from openai import OpenAI
-from tqdm import tqdm
-
-load_dotenv()
-
-
-ANSWER_PROMPT = """
-    You are an intelligent memory assistant tasked with retrieving accurate information from conversation memories.
-
-    # CONTEXT:
-    You have access to memories from a conversation. These memories contain
-    timestamped information that may be relevant to answering the question.
-
-    # INSTRUCTIONS:
-    1. Carefully analyze all provided memories
-    2. Pay special attention to the timestamps to determine the answer
-    3. If the question asks about a specific event or fact, look for direct evidence in the memories
-    4. If the memories contain contradictory information, prioritize the most recent memory
-    5. If there is a question about time references (like "last year", "two months ago", etc.), 
-       calculate the actual date based on the memory timestamp. For example, if a memory from 
-       4 May 2022 mentions "went to India last year," then the trip occurred in 2021.
-    6. Always convert relative time references to specific dates, months, or years. For example, 
-       convert "last year" to "2022" or "two months ago" to "March 2023" based on the memory 
-       timestamp. Ignore the reference while answering the question.
-    7. Focus only on the content of the memories. Do not confuse character 
-       names mentioned in memories with the actual users who created those memories.
-    8. The answer should be less than 5-6 words.
-
-    # APPROACH (Think step by step):
-    1. First, examine all memories that contain information related to the question
-    2. Examine the timestamps and content of these memories carefully
-    3. Look for explicit mentions of dates, times, locations, or events that answer the question
-    4. If the answer requires calculation (e.g., converting relative time references), show your work
-    5. Formulate a precise, concise answer based solely on the evidence in the memories
-    6. Double-check that your answer directly addresses the question asked
-    7. Ensure your final answer is specific and avoids vague time references
-
-    Memories:
-
-    {{memories}}
-
-    Question: {{question}}
-    Answer:
-    """
-
-
-class OpenAIPredict:
-    def __init__(self, model="gpt-4o-mini"):
-        self.model = model
-        self.openai_client = OpenAI()
-        self.results = defaultdict(list)
-
-    def search_memory(self, idx):
-        with open(f"memories/{idx}.txt", "r") as file:
-            memories = file.read()
-
-        return memories, 0
-
-    def process_question(self, val, idx):
-        question = val.get("question", "")
-        answer = val.get("answer", "")
-        category = val.get("category", -1)
-        evidence = val.get("evidence", [])
-        adversarial_answer = val.get("adversarial_answer", "")
-
-        response, search_memory_time, response_time, context = self.answer_question(idx, question)
-
-        result = {
-            "question": question,
-            "answer": answer,
-            "category": category,
-            "evidence": evidence,
-            "response": response,
-            "adversarial_answer": adversarial_answer,
-            "search_memory_time": search_memory_time,
-            "response_time": response_time,
-            "context": context,
-        }
-
-        return result
-
-    def answer_question(self, idx, question):
-        memories, search_memory_time = self.search_memory(idx)
-
-        template = Template(ANSWER_PROMPT)
-        answer_prompt = template.render(memories=memories, question=question)
-
-        t1 = time.time()
-        response = self.openai_client.chat.completions.create(
-            model=os.getenv("MODEL"), messages=[{"role": "system", "content": answer_prompt}], temperature=0.0
-        )
-        t2 = time.time()
-        response_time = t2 - t1
-        return response.choices[0].message.content, search_memory_time, response_time, memories
-
-    def process_data_file(self, file_path, output_file_path):
-        with open(file_path, "r") as f:
-            data = json.load(f)
-
-        for idx, item in tqdm(enumerate(data), total=len(data), desc="Processing conversations"):
-            qa = item["qa"]
-
-            for question_item in tqdm(
-                qa, total=len(qa), desc=f"Processing questions for conversation {idx}", leave=False
-            ):
-                result = self.process_question(question_item, idx)
-                self.results[idx].append(result)
-
-                # Save results after each question is processed
-                with open(output_file_path, "w") as f:
-                    json.dump(self.results, f, indent=4)
-
-        # Final save at the end
-        with open(output_file_path, "w") as f:
-            json.dump(self.results, f, indent=4)
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--output_file_path", type=str, required=True)
-    args = parser.parse_args()
-    openai_predict = OpenAIPredict()
-    openai_predict.process_data_file("../../dataset/locomo10.json", args.output_file_path)
@@ -1,183 +0,0 @@
-import json
-import os
-import time
-from collections import defaultdict
-
-import numpy as np
-import tiktoken
-from dotenv import load_dotenv
-from jinja2 import Template
-from openai import OpenAI
-from tqdm import tqdm
-
-load_dotenv()
-
-PROMPT = """
-# Question: 
-{{QUESTION}}
-
-# Context: 
-{{CONTEXT}}
-
-# Short answer:
-"""
-
-
-class RAGManager:
-    def __init__(self, data_path="dataset/locomo10_rag.json", chunk_size=500, k=1):
-        self.model = os.getenv("MODEL")
-        self.client = OpenAI()
-        self.data_path = data_path
-        self.chunk_size = chunk_size
-        self.k = k
-
-    def generate_response(self, question, context):
-        template = Template(PROMPT)
-        prompt = template.render(CONTEXT=context, QUESTION=question)
-
-        max_retries = 3
-        retries = 0
-
-        while retries <= max_retries:
-            try:
-                t1 = time.time()
-                response = self.client.chat.completions.create(
-                    model=self.model,
-                    messages=[
-                        {
-                            "role": "system",
-                            "content": "You are a helpful assistant that can answer "
-                            "questions based on the provided context."
-                            "If the question involves timing, use the conversation date for reference."
-                            "Provide the shortest possible answer."
-                            "Use words directly from the conversation when possible."
-                            "Avoid using subjects in your answer.",
-                        },
-                        {"role": "user", "content": prompt},
-                    ],
-                    temperature=0,
-                )
-                t2 = time.time()
-                return response.choices[0].message.content.strip(), t2 - t1
-            except Exception as e:
-                retries += 1
-                if retries > max_retries:
-                    raise e
-                time.sleep(1)  # Wait before retrying
-
-    def clean_chat_history(self, chat_history):
-        cleaned_chat_history = ""
-        for c in chat_history:
-            cleaned_chat_history += f"{c['timestamp']} | {c['speaker']}: {c['text']}\n"
-
-        return cleaned_chat_history
-
-    def calculate_embedding(self, document):
-        response = self.client.embeddings.create(model=os.getenv("EMBEDDING_MODEL"), input=document)
-        return response.data[0].embedding
-
-    def calculate_similarity(self, embedding1, embedding2):
-        return np.dot(embedding1, embedding2) / (np.linalg.norm(embedding1) * np.linalg.norm(embedding2))
-
-    def search(self, query, chunks, embeddings, k=1):
-        """
-        Search for the top-k most similar chunks to the query.
-
-        Args:
-            query: The query string
-            chunks: List of text chunks
-            embeddings: List of embeddings for each chunk
-            k: Number of top chunks to return (default: 1)
-
-        Returns:
-            combined_chunks: The combined text of the top-k chunks
-            search_time: Time taken for the search
-        """
-        t1 = time.time()
-        query_embedding = self.calculate_embedding(query)
-        similarities = [self.calculate_similarity(query_embedding, embedding) for embedding in embeddings]
-
-        # Get indices of top-k most similar chunks
-        if k == 1:
-            # Original behavior - just get the most similar chunk
-            top_indices = [np.argmax(similarities)]
-        else:
-            # Get indices of top-k chunks
-            top_indices = np.argsort(similarities)[-k:][::-1]
-
-        # Combine the top-k chunks
-        combined_chunks = "\n<->\n".join([chunks[i] for i in top_indices])
-
-        t2 = time.time()
-        return combined_chunks, t2 - t1
-
-    def create_chunks(self, chat_history, chunk_size=500):
-        """
-        Create chunks using tiktoken for more accurate token counting
-        """
-        # Get the encoding for the model
-        encoding = tiktoken.encoding_for_model(os.getenv("EMBEDDING_MODEL"))
-
-        documents = self.clean_chat_history(chat_history)
-
-        if chunk_size == -1:
-            return [documents], []
-
-        chunks = []
-
-        # Encode the document
-        tokens = encoding.encode(documents)
-
-        # Split into chunks based on token count
-        for i in range(0, len(tokens), chunk_size):
-            chunk_tokens = tokens[i : i + chunk_size]
-            chunk = encoding.decode(chunk_tokens)
-            chunks.append(chunk)
-
-        embeddings = []
-        for chunk in chunks:
-            embedding = self.calculate_embedding(chunk)
-            embeddings.append(embedding)
-
-        return chunks, embeddings
-
-    def process_all_conversations(self, output_file_path):
-        with open(self.data_path, "r") as f:
-            data = json.load(f)
-
-        FINAL_RESULTS = defaultdict(list)
-        for key, value in tqdm(data.items(), desc="Processing conversations"):
-            chat_history = value["conversation"]
-            questions = value["question"]
-
-            chunks, embeddings = self.create_chunks(chat_history, self.chunk_size)
-
-            for item in tqdm(questions, desc="Answering questions", leave=False):
-                question = item["question"]
-                answer = item.get("answer", "")
-                category = item["category"]
-
-                if self.chunk_size == -1:
-                    context = chunks[0]
-                    search_time = 0
-                else:
-                    context, search_time = self.search(question, chunks, embeddings, k=self.k)
-                response, response_time = self.generate_response(question, context)
-
-                FINAL_RESULTS[key].append(
-                    {
-                        "question": question,
-                        "answer": answer,
-                        "category": category,
-                        "context": context,
-                        "response": response,
-                        "search_time": search_time,
-                        "response_time": response_time,
-                    }
-                )
-                with open(output_file_path, "w+") as f:
-                    json.dump(FINAL_RESULTS, f, indent=4)
-
-        # Save results
-        with open(output_file_path, "w+") as f:
-            json.dump(FINAL_RESULTS, f, indent=4)
@@ -1,3 +0,0 @@
-TECHNIQUES = ["mem0", "rag", "langmem", "zep", "openai"]
-
-METHODS = ["add", "search"]
@@ -1,76 +0,0 @@
-import argparse
-import json
-import os
-
-from dotenv import load_dotenv
-from tqdm import tqdm
-from zep_cloud import Message
-from zep_cloud.client import Zep
-
-load_dotenv()
-
-
-class ZepAdd:
-    def __init__(self, data_path=None):
-        self.zep_client = Zep(api_key=os.getenv("ZEP_API_KEY"))
-        self.data_path = data_path
-        self.data = None
-        if data_path:
-            self.load_data()
-
-    def load_data(self):
-        with open(self.data_path, "r") as f:
-            self.data = json.load(f)
-        return self.data
-
-    def process_conversation(self, run_id, item, idx):
-        conversation = item["conversation"]
-
-        user_id = f"run_id_{run_id}_experiment_user_{idx}"
-        session_id = f"run_id_{run_id}_experiment_session_{idx}"
-
-        # # delete all memories for the two users
-        # self.zep_client.user.delete(user_id=user_id)
-        # self.zep_client.memory.delete(session_id=session_id)
-
-        self.zep_client.user.add(user_id=user_id)
-        self.zep_client.memory.add_session(
-            user_id=user_id,
-            session_id=session_id,
-        )
-
-        print("Starting to add memories... for user", user_id)
-        for key in tqdm(conversation.keys(), desc=f"Processing user {user_id}"):
-            if key in ["speaker_a", "speaker_b"] or "date" in key:
-                continue
-
-            date_time_key = key + "_date_time"
-            timestamp = conversation[date_time_key]
-            chats = conversation[key]
-
-            for chat in tqdm(chats, desc=f"Adding chats for {key}", leave=False):
-                self.zep_client.memory.add(
-                    session_id=session_id,
-                    messages=[
-                        Message(
-                            role=chat["speaker"],
-                            role_type="user",
-                            content=f"{timestamp}: {chat['text']}",
-                        )
-                    ],
-                )
-
-    def process_all_conversations(self, run_id):
-        if not self.data:
-            raise ValueError("No data loaded. Please set data_path and call load_data() first.")
-        for idx, item in tqdm(enumerate(self.data)):
-            if idx == 0:
-                self.process_conversation(run_id, item, idx)
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--run_id", type=str, required=True)
-    args = parser.parse_args()
-    zep_add = ZepAdd(data_path="../../dataset/locomo10.json")
-    zep_add.process_all_conversations(args.run_id)
@@ -1,140 +0,0 @@
-import argparse
-import json
-import os
-import time
-from collections import defaultdict
-
-from dotenv import load_dotenv
-from jinja2 import Template
-from openai import OpenAI
-from prompts import ANSWER_PROMPT_ZEP
-from tqdm import tqdm
-from zep_cloud import EntityEdge, EntityNode
-from zep_cloud.client import Zep
-
-load_dotenv()
-
-TEMPLATE = """
-FACTS and ENTITIES represent relevant context to the current conversation.
-
-# These are the most relevant facts and their valid date ranges
-# format: FACT (Date range: from - to)
-
-{facts}
-
-
-# These are the most relevant entities
-# ENTITY_NAME: entity summary
-
-{entities}
-
-"""
-
-
-class ZepSearch:
-    def __init__(self):
-        self.zep_client = Zep(api_key=os.getenv("ZEP_API_KEY"))
-        self.results = defaultdict(list)
-        self.openai_client = OpenAI()
-
-    def format_edge_date_range(self, edge: EntityEdge) -> str:
-        # return f"{datetime(edge.valid_at).strftime('%Y-%m-%d %H:%M:%S') if edge.valid_at else 'date unknown'} - {(edge.invalid_at.strftime('%Y-%m-%d %H:%M:%S') if edge.invalid_at else 'present')}"
-        return f"{edge.valid_at if edge.valid_at else 'date unknown'} - {(edge.invalid_at if edge.invalid_at else 'present')}"
-
-    def compose_search_context(self, edges: list[EntityEdge], nodes: list[EntityNode]) -> str:
-        facts = [f"  - {edge.fact} ({self.format_edge_date_range(edge)})" for edge in edges]
-        entities = [f"  - {node.name}: {node.summary}" for node in nodes]
-        return TEMPLATE.format(facts="\n".join(facts), entities="\n".join(entities))
-
-    def search_memory(self, run_id, idx, query, max_retries=3, retry_delay=1):
-        start_time = time.time()
-        retries = 0
-        while retries < max_retries:
-            try:
-                user_id = f"run_id_{run_id}_experiment_user_{idx}"
-                edges_results = (
-                    self.zep_client.graph.search(
-                        user_id=user_id, reranker="cross_encoder", query=query, scope="edges", limit=20
-                    )
-                ).edges
-                node_results = (
-                    self.zep_client.graph.search(user_id=user_id, reranker="rrf", query=query, scope="nodes", limit=20)
-                ).nodes
-                context = self.compose_search_context(edges_results, node_results)
-                break
-            except Exception as e:
-                print("Retrying...")
-                retries += 1
-                if retries >= max_retries:
-                    raise e
-                time.sleep(retry_delay)
-
-        end_time = time.time()
-
-        return context, end_time - start_time
-
-    def process_question(self, run_id, val, idx):
-        question = val.get("question", "")
-        answer = val.get("answer", "")
-        category = val.get("category", -1)
-        evidence = val.get("evidence", [])
-        adversarial_answer = val.get("adversarial_answer", "")
-
-        response, search_memory_time, response_time, context = self.answer_question(run_id, idx, question)
-
-        result = {
-            "question": question,
-            "answer": answer,
-            "category": category,
-            "evidence": evidence,
-            "response": response,
-            "adversarial_answer": adversarial_answer,
-            "search_memory_time": search_memory_time,
-            "response_time": response_time,
-            "context": context,
-        }
-
-        return result
-
-    def answer_question(self, run_id, idx, question):
-        context, search_memory_time = self.search_memory(run_id, idx, question)
-
-        template = Template(ANSWER_PROMPT_ZEP)
-        answer_prompt = template.render(memories=context, question=question)
-
-        t1 = time.time()
-        response = self.openai_client.chat.completions.create(
-            model=os.getenv("MODEL"), messages=[{"role": "system", "content": answer_prompt}], temperature=0.0
-        )
-        t2 = time.time()
-        response_time = t2 - t1
-        return response.choices[0].message.content, search_memory_time, response_time, context
-
-    def process_data_file(self, file_path, run_id, output_file_path):
-        with open(file_path, "r") as f:
-            data = json.load(f)
-
-        for idx, item in tqdm(enumerate(data), total=len(data), desc="Processing conversations"):
-            qa = item["qa"]
-
-            for question_item in tqdm(
-                qa, total=len(qa), desc=f"Processing questions for conversation {idx}", leave=False
-            ):
-                result = self.process_question(run_id, question_item, idx)
-                self.results[idx].append(result)
-
-                # Save results after each question is processed
-                with open(output_file_path, "w") as f:
-                    json.dump(self.results, f, indent=4)
-
-        # Final save at the end
-        with open(output_file_path, "w") as f:
-            json.dump(self.results, f, indent=4)
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--run_id", type=str, required=True)
-    args = parser.parse_args()
-    zep_search = ZepSearch()
-    zep_search.process_data_file("../../dataset/locomo10.json", args.run_id, "results/zep_search_results.json")
@@ -555,7 +555,7 @@
    "# - Enables creation of AI agents with long-term memory and learning abilities.\n",
    "# - Improves consistency and reduces repetition in user-agent interactions.\n",
    "\n",
-    "from cookbooks.helper.mem0_teachability import Mem0Teachability\n",
+    "from helper.mem0_teachability import Mem0Teachability\n",
    "\n",
    "teachability = Mem0Teachability(\n",
    "    verbosity=2,  # for visibility of what's happening\n",
@@ -1,6 +1,6 @@
 {
  "name": "mem0",
-  "version": "0.2.9",
+  "version": "0.2.10",
  "description": "Persistent memory for Claude Code. Remembers decisions, patterns, and preferences across sessions.",
  "author": {
    "name": "Mem0",
@@ -1,6 +1,6 @@
 {
  "name": "mem0",
-  "version": "0.2.9",
+  "version": "0.2.10",
  "description": "Persistent memory for Codex. Remembers decisions, patterns, and preferences across sessions.",
  "author": {
    "name": "Mem0",
@@ -1,6 +1,6 @@
 {
  "name": "mem0",
-  "version": "0.2.9",
+  "version": "0.2.10",
  "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search using the Mem0 Platform MCP server.",
  "author": {
    "name": "Mem0",
@@ -2,13 +2,14 @@

 All notable changes to the `@mem0/opencode-plugin` will be documented in this file.

-## 0.1.3 — File-context injection, session summaries & activity timeline
+## 0.1.3 — File-context injection, session summaries & activity timeline, anonymous telemetry

 ### Added

 - **File-context injection (`tool.execute.before` / Read):** Before the agent reads a file, the plugin searches mem0 for memories referencing that file path and injects prior work as system context. Gates on file size (>= 1,500 bytes). Gives the agent "I've worked on this file before" awareness automatically.
 - **Stop hook session summary (`experimental.session.compacting`):** Enhanced session compaction to store a structured `session_summary` memory with `infer=True`, letting the mem0 backend AI extract key facts (request, decisions, learnings, next steps). Previously only stored a raw stats string.
 - **SessionStart activity timeline:** The initial memory loading now formats recent memories with type icons (⚖️ decision, 🔴 bug_fix, 🔵 task_learning, etc.) and relative age indicators (2h ago, 1d ago) instead of bare text. Provides a visual "Recent Activity" timeline on first message.
+- **PostHog telemetry (`telemetry.ts`):** Anonymous, fire-and-forget usage events. Opt out with `MEM0_TELEMETRY=false`. Only fires when an API key is present; never sends memory content, prompts, or the API key — only an anonymized `sha256(apiKey)[:32]` identity plus event type, platform, and plugin version. Emits the same schema as the Mem0 editor plugin (`plugin.*` events, `source: "plugin"`, `platform: "opencode"`) so OpenCode appears as a `platform` in the shared plugin dashboard. Events: `plugin.session_start` (with memory count) and `plugin.tool_use` (`add` / `search` / `update` / `delete`).

 ### Changed

@@ -6,7 +6,7 @@
      "name": "@mem0/opencode-plugin",
      "dependencies": {
        "@opencode-ai/plugin": "^1.0.162",
-        "mem0ai": "^3.0.5",
+        "mem0ai": "^3.0.7",
      },
      "devDependencies": {
        "bun-types": ">=1.3.14",
@@ -462,7 +462,7 @@

    "md5": ["md5@2.3.0", "", { "dependencies": { "charenc": "0.0.2", "crypt": "0.0.2", "is-buffer": "~1.1.6" } }, "sha512-T1GITYmFaKuO91vxyoQMFETst+O71VUPEU3ze5GNzDm0OWdP8v1ziTaAEPUr/3kLsY3Sftgz242A1SetQiDL7g=="],

-    "mem0ai": ["mem0ai@3.0.5", "", { "dependencies": { "axios": "^1.15.2", "openai": "^4.93.0", "uuid": "9.0.1", "zod": "^3.24.1" }, "peerDependencies": { "@anthropic-ai/sdk": "^0.40.1", "@azure/identity": "^4.0.0", "@azure/search-documents": "^12.0.0", "@cloudflare/workers-types": "^4.20250504.0", "@google/genai": "^1.2.0", "@langchain/core": "^1.1.47", "@mistralai/mistralai": "^1.5.2", "@qdrant/js-client-rest": "1.13.0", "@supabase/supabase-js": "^2.49.1", "@types/jest": "29.5.14", "@types/pg": "8.11.0", "better-sqlite3": "^12.6.2", "cloudflare": "^4.2.0", "compromise": "^14.0.0", "groq-sdk": "0.3.0", "natural": "^8.0.1", "ollama": "^0.5.14", "pg": "8.11.3", "redis": "^4.6.13" } }, "sha512-W/R59d5fMpUGHhPEnyoo36GSz5NFJbAs+vS4BxoIvE+t19mIJfoz/2FJSKIw80mT8AkeNYpDfzc/DYRu2IzYIw=="],
+    "mem0ai": ["mem0ai@3.0.7", "", { "dependencies": { "axios": "^1.16.0", "openai": "^4.93.0", "uuid": "9.0.1", "zod": "^3.24.1" }, "peerDependencies": { "@anthropic-ai/sdk": "^0.40.1", "@azure/identity": "^4.0.0", "@azure/search-documents": "^12.0.0", "@cloudflare/workers-types": "^4.20250504.0", "@google/genai": "^1.40.0", "@langchain/core": "^1.1.47", "@mistralai/mistralai": "^1.5.2", "@qdrant/js-client-rest": "^1.18.0", "@supabase/supabase-js": "^2.49.1", "@types/jest": "29.5.14", "@types/pg": "8.11.0", "better-sqlite3": "^12.6.2", "cloudflare": "^4.2.0", "compromise": "^14.0.0", "groq-sdk": "0.3.0", "natural": "^8.0.1", "ollama": "^0.5.14", "pg": "8.11.3", "redis": "^4.6.13" } }, "sha512-CUHzX7DyeKTHcI3aDsSqY9LXTD7GcFxf988796TuOa4yJgGuF2Xd2NROcBhVFRo3r9y8fVmbo3c5TF9jv1KlKw=="],

    "memjs": ["memjs@1.3.2", "", {}, "sha512-qUEg2g8vxPe+zPn09KidjIStHPtoBO8Cttm8bgJFWWabbsjQ9Av9Ky+6UcvKx6ue0LLb/LEhtcyQpRyKfzeXcg=="],

@@ -9,6 +9,7 @@ import { existsSync, readdirSync, cpSync, mkdirSync, readFileSync, writeFileSync
 import { homedir } from "os";
 import { join } from "path";
 import { createHash } from "crypto";
+import { captureEvent } from "./telemetry";

 async function getUserId(): Promise<string> {
  if (process.env.MEM0_USER_ID) return process.env.MEM0_USER_ID;
@@ -368,6 +369,8 @@ const Mem0Plugin: Plugin = async (ctx) => {
            });
          } catch {}
        }
+
+        captureEvent("session_start", { memory_count: memoryCount }, apiKey);
      }

      if (NUDGE_RE.test(safeText)) {
@@ -602,6 +605,17 @@ const Mem0Plugin: Plugin = async (ctx) => {
      if (MEM0_MCP_RE.test(toolName)) {
        if (toolName.includes("add_memory")) stats.adds++;
        if (toolName.includes("search")) stats.searches++;
+
+        const tool = toolName.includes("add_memory")
+          ? "add_memory"
+          : toolName.includes("search")
+            ? "search_memories"
+            : toolName.includes("delete")
+              ? "delete_memory"
+              : toolName.includes("update")
+                ? "update_memory"
+                : "other";
+        captureEvent("tool_use", { tool }, apiKey);
      }

      if (toolName === "bash" && toolOutput.length >= 50) {
@@ -59,7 +59,7 @@
  },
  "dependencies": {
    "@opencode-ai/plugin": "^1.0.162",
-    "mem0ai": "^3.0.5"
+    "mem0ai": "^3.0.7"
  },
  "devDependencies": {
    "bun-types": ">=1.3.14",
@@ -0,0 +1,51 @@
+import { afterEach, describe, expect, test } from "bun:test";
+import { buildEvent, captureEvent, isTelemetryEnabled } from "./telemetry";
+
+const KEY = "m0-testkey123";
+
+afterEach(() => {
+  delete process.env.MEM0_TELEMETRY;
+});
+
+describe("opencode telemetry", () => {
+  test("buildEvent uses the shared plugin.* schema with platform=opencode", () => {
+    const payload = buildEvent("session_start", { memory_count: 5 }, KEY);
+    expect(payload).not.toBeNull();
+    const props = payload!.properties as Record<string, unknown>;
+    expect(payload!.event).toBe("plugin.session_start");
+    expect(props.source).toBe("plugin");
+    expect(props.platform).toBe("opencode");
+    expect(props.memory_count).toBe(5);
+    expect(props.$process_person_profile).toBe(false);
+    expect(typeof props.plugin_version).toBe("string");
+  });
+
+  test("distinct_id is sha256(apiKey)[:32] — matches the editor plugin", async () => {
+    const { createHash } = await import("node:crypto");
+    const expected = createHash("sha256").update(KEY).digest("hex").slice(0, 32);
+    expect(buildEvent("session_start", {}, KEY)!.distinct_id).toBe(expected);
+  });
+
+  test("system properties win over caller-supplied ones", () => {
+    const props = buildEvent("x", { platform: "HACK", source: "HACK" }, KEY)!
+      .properties as Record<string, unknown>;
+    expect(props.platform).toBe("opencode");
+    expect(props.source).toBe("plugin");
+  });
+
+  test("returns null without an API key (no anonymous events)", () => {
+    expect(buildEvent("session_start", {}, undefined)).toBeNull();
+  });
+
+  test("opt-out via MEM0_TELEMETRY disables events", () => {
+    process.env.MEM0_TELEMETRY = "false";
+    expect(isTelemetryEnabled()).toBe(false);
+    expect(buildEvent("session_start", {}, KEY)).toBeNull();
+  });
+
+  test("captureEvent never throws (and sends nothing when opted out)", () => {
+    process.env.MEM0_TELEMETRY = "false";
+    expect(() => captureEvent("session_start", {}, KEY)).not.toThrow();
+    expect(() => captureEvent("session_start", {}, undefined)).not.toThrow();
+  });
+});
@@ -0,0 +1,104 @@
+/**
+ * Plugin telemetry for the Mem0 OpenCode plugin — anonymous usage tracking
+ * via PostHog.
+ *
+ * Emits the SAME event schema as the Mem0 editor plugin's telemetry.py
+ * (event names prefixed `plugin.`, `source: "plugin"`, `platform: "opencode"`,
+ * `distinct_id = sha256(apiKey)[:32]`) so OpenCode shows up as just another
+ * `platform` value in the shared plugin dashboard instead of a separate
+ * event namespace.
+ *
+ * Fire-and-forget: never throws, never blocks, failures are swallowed. Only
+ * fires when an API key is present (same as the editor plugin — anonymous
+ * installs without a key emit nothing). Disable with MEM0_TELEMETRY=false.
+ *
+ * Never sends: memory content, API keys, raw user/project IDs. Only sends:
+ * event type, platform, plugin version, anonymized hash of the API key.
+ */
+
+import { createHash } from "node:crypto";
+import { readFileSync } from "node:fs";
+
+const POSTHOG_API_KEY = "phc_hgJkUVJFYtmaJqrvf6CYN67TIQ8yhXAkWzUn9AMU4yX";
+const POSTHOG_HOST = "https://us.i.posthog.com/i/v0/e/";
+const REQUEST_TIMEOUT_MS = 2_000;
+
+function _loadPluginVersion(): string {
+  // Source context: telemetry.ts sits next to package.json (./).
+  // Bundled context: dist/index.js sits one level below it (../).
+  for (const rel of ["./package.json", "../package.json"]) {
+    try {
+      const pkg = JSON.parse(readFileSync(new URL(rel, import.meta.url), "utf-8"));
+      if (pkg?.name === "@mem0/opencode-plugin" && pkg.version) return pkg.version;
+    } catch {
+      /* try next candidate */
+    }
+  }
+  return "unknown";
+}
+
+const PLUGIN_VERSION = _loadPluginVersion();
+
+export function isTelemetryEnabled(): boolean {
+  const val = process.env.MEM0_TELEMETRY;
+  if (val === undefined) return true;
+  const s = val.toLowerCase();
+  return s !== "false" && s !== "0" && s !== "no" && s !== "off";
+}
+
+function distinctId(apiKey: string): string {
+  // Matches telemetry.py `_distinct_id()` so the same user is one person in
+  // PostHog whether they use OpenCode or any other Mem0 editor plugin.
+  return createHash("sha256").update(apiKey).digest("hex").slice(0, 32);
+}
+
+/**
+ * Build the PostHog event payload, or null when telemetry is disabled or no
+ * API key is available. Pure (aside from env/version reads) and exported for
+ * testing. System-controlled properties are applied last so a caller cannot
+ * override `source`/`platform`/etc.
+ */
+export function buildEvent(
+  eventType: string,
+  properties: Record<string, unknown>,
+  apiKey: string | undefined,
+): Record<string, unknown> | null {
+  if (!isTelemetryEnabled() || !apiKey) return null;
+  return {
+    api_key: POSTHOG_API_KEY,
+    distinct_id: distinctId(apiKey),
+    event: `plugin.${eventType}`,
+    properties: {
+      ...properties,
+      source: "plugin",
+      platform: "opencode",
+      plugin_version: PLUGIN_VERSION,
+      os: process.platform,
+      sample_rate: 1.0,
+      $process_person_profile: false,
+      $lib: "posthog-node",
+    },
+  };
+}
+
+/** Send a usage event, fire-and-forget. Never throws, never blocks. */
+export function captureEvent(
+  eventType: string,
+  properties: Record<string, unknown>,
+  apiKey: string | undefined,
+): void {
+  const payload = buildEvent(eventType, properties, apiKey);
+  if (!payload) return;
+  try {
+    void fetch(POSTHOG_HOST, {
+      method: "POST",
+      headers: { "Content-Type": "application/json" },
+      body: JSON.stringify(payload),
+      signal: AbortSignal.timeout(REQUEST_TIMEOUT_MS),
+    }).catch(() => {
+      /* fire-and-forget */
+    });
+  } catch {
+    /* never throw */
+  }
+}
@@ -16,5 +16,5 @@
    "emitDeclarationOnly": true
  },
  "include": ["**/*"],
-  "exclude": ["node_modules", "dist"]
+  "exclude": ["node_modules", "dist", "**/*.test.ts"]
 }
@@ -2,6 +2,21 @@

 All notable changes to the Mem0 plugin will be documented in this file.

+## 0.2.10 — Accurate per-editor telemetry attribution
+
+### Fixed
+
+- **Antigravity counted as Claude Code:** `detect_platform()` (`scripts/telemetry.py`) now checks `ANTIGRAVITY_PLUGIN_ROOT` before the `CLAUDE_PLUGIN_ROOT` branch. Antigravity sets both env vars for compatibility, so every Antigravity session was previously attributed to `claude-code`. Telemetry now reports `platform: "antigravity"`.
+- **Codex fell back to the generic `plugin` bucket:** Codex installs standalone hooks with absolute paths via `install_codex_hooks.py`, so `PLUGIN_ROOT` is never set at runtime and platform auto-detection failed. Each command in `hooks/codex-hooks.json` now pins `MEM0_PLATFORM=codex` inline (Codex runs hook commands through a shell). Telemetry now reports `platform: "codex"`.
+- **Cursor attribution depended on the host env:** Cursor's `*_cursor.sh` wrappers delegate to the shared hook scripts, whose platform detection relied on Cursor exporting `CURSOR_PLUGIN_ROOT` to the subprocess. All five Cursor wrappers now `export MEM0_PLATFORM=cursor` before delegating.
+- **`plugin_version` was identical for every editor:** telemetry read `.claude-plugin/plugin.json` for all bash-hook editors, so Antigravity reported `0.2.10` instead of its real `0.1.2`. `_load_plugin_version()` now reads the manifest matching the detected platform, so each editor reports its own version.
+
+### Added
+
+- **`MEM0_PLATFORM` override in `detect_platform()`:** An explicit platform marker that wins over env-var auto-detection, letting each editor label its telemetry reliably. New tests in `tests/test_telemetry.py` cover the override, Antigravity attribution, and the Cursor/Codex platform-pinning contracts.
+
+> Attribution fixes apply to telemetry emitted after users upgrade to this version; PostHog does not backfill past events.
+
 ## 0.2.9 — File-context injection, session summaries & activity timeline

 ### Added
@@ -6,7 +6,7 @@
        "hooks": [
          {
            "type": "command",
-            "command": "${PLUGIN_ROOT}/scripts/block_memory_write.sh",
+            "command": "MEM0_PLATFORM=codex ${PLUGIN_ROOT}/scripts/block_memory_write.sh",
            "timeout": 3
          }
        ]
@@ -16,7 +16,7 @@
        "hooks": [
          {
            "type": "command",
-            "command": "${PLUGIN_ROOT}/scripts/enforce_metadata_defaults.sh",
+            "command": "MEM0_PLATFORM=codex ${PLUGIN_ROOT}/scripts/enforce_metadata_defaults.sh",
            "timeout": 3
          }
        ]
@@ -26,7 +26,7 @@
        "hooks": [
          {
            "type": "command",
-            "command": "${PLUGIN_ROOT}/scripts/on_file_read.sh",
+            "command": "MEM0_PLATFORM=codex ${PLUGIN_ROOT}/scripts/on_file_read.sh",
            "timeout": 5
          }
        ]
@@ -38,7 +38,7 @@
        "hooks": [
          {
            "type": "command",
-            "command": "${PLUGIN_ROOT}/scripts/on_session_start.sh",
+            "command": "MEM0_PLATFORM=codex ${PLUGIN_ROOT}/scripts/on_session_start.sh",
            "statusMessage": "Loading mem0 context..."
          }
        ]
@@ -49,7 +49,7 @@
        "hooks": [
          {
            "type": "command",
-            "command": "${PLUGIN_ROOT}/scripts/on_user_prompt.sh",
+            "command": "MEM0_PLATFORM=codex ${PLUGIN_ROOT}/scripts/on_user_prompt.sh",
            "statusMessage": "Checking memory relevance...",
            "timeout": 12
          }
@@ -62,7 +62,7 @@
        "hooks": [
          {
            "type": "command",
-            "command": "${PLUGIN_ROOT}/scripts/on_post_tool_use.sh",
+            "command": "MEM0_PLATFORM=codex ${PLUGIN_ROOT}/scripts/on_post_tool_use.sh",
            "timeout": 3
          }
        ]
@@ -72,7 +72,7 @@
        "hooks": [
          {
            "type": "command",
-            "command": "${PLUGIN_ROOT}/scripts/on_bash_output.sh",
+            "command": "MEM0_PLATFORM=codex ${PLUGIN_ROOT}/scripts/on_bash_output.sh",
            "timeout": 12
          }
        ]
@@ -83,7 +83,7 @@
        "hooks": [
          {
            "type": "command",
-            "command": "${PLUGIN_ROOT}/scripts/on_stop.sh",
+            "command": "MEM0_PLATFORM=codex ${PLUGIN_ROOT}/scripts/on_stop.sh",
            "timeout": 30
          }
        ]
@@ -94,7 +94,7 @@
        "hooks": [
          {
            "type": "command",
-            "command": "${PLUGIN_ROOT}/scripts/on_pre_compact.sh",
+            "command": "MEM0_PLATFORM=codex ${PLUGIN_ROOT}/scripts/on_pre_compact.sh",
            "statusMessage": "Preparing pre-compaction summary..."
          }
        ]
@@ -1,7 +1,7 @@
 {
  "id": "mem0",
  "name": "mem0",
-  "version": "0.1.1",
+  "version": "0.1.2",
  "description": "Persistent semantic memory for Antigravity agents. Cross-session, user-level recall via the Mem0 Platform MCP server. 16 slash commands, lifecycle hooks for auto-capture and metadata enforcement.",
  "author": { "name": "Mem0", "email": "support@mem0.ai" },
  "publisher": "mem0ai",
@@ -8,6 +8,9 @@ set -uo pipefail

 SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"

+# Pin platform so the shared script's telemetry is attributed to cursor.
+export MEM0_PLATFORM=cursor
+
 # Run the shared tracker (output is ignored)
 "$SCRIPT_DIR/on_post_tool_use.sh" 2>/dev/null || true

@@ -8,6 +8,9 @@ set -uo pipefail

 SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"

+# Pin platform so the shared script's telemetry is attributed to cursor.
+export MEM0_PLATFORM=cursor
+
 TEXT=$("$SCRIPT_DIR/on_pre_compact.sh" 2>/dev/null || echo "")

 if [ -z "$TEXT" ]; then
@@ -8,6 +8,9 @@ set -uo pipefail

 SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"

+# Pin platform so the shared script's telemetry is attributed to cursor.
+export MEM0_PLATFORM=cursor
+
 TEXT=$("$SCRIPT_DIR/on_session_start.sh" 2>/dev/null || echo "")

 if [ -z "$TEXT" ]; then
@@ -18,6 +18,8 @@ if [ -n "$AGENT_ID" ]; then
 fi

 SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+# Pin platform so this hook's telemetry is attributed to cursor.
+export MEM0_PLATFORM=cursor
 . "$SCRIPT_DIR/_identity.sh" 2>/dev/null || true

 if [ -z "${MEM0_API_KEY:-}" ]; then
@@ -8,6 +8,9 @@ set -uo pipefail

 SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"

+# Pin platform so the shared script's telemetry is attributed to cursor.
+export MEM0_PLATFORM=cursor
+
 TEXT=$("$SCRIPT_DIR/on_user_prompt.sh" 2>/dev/null || echo "")

 if [ -z "$TEXT" ]; then
@@ -26,16 +26,27 @@ import sys
 import urllib.error
 import urllib.request

+# Each editor surface ships its own manifest with its own version line
+# (Antigravity is on 0.1.x while Claude/Cursor/Codex are on 0.2.x), so we read
+# the manifest matching the detected platform rather than a single shared one.
+_PLATFORM_MANIFESTS = {
+    "antigravity": ("..", "plugin.json"),
+    "claude-code": ("..", ".claude-plugin", "plugin.json"),
+    "cursor": ("..", ".cursor-plugin", "plugin.json"),
+    "codex": ("..", ".codex-plugin", "plugin.json"),
+}
+_DEFAULT_MANIFEST = ("..", ".claude-plugin", "plugin.json")

-def _load_plugin_version() -> str:
+
+def _load_plugin_version(platform_name: str = "") -> str:
+    parts = _PLATFORM_MANIFESTS.get(platform_name, _DEFAULT_MANIFEST)
    try:
-        plugin_json = os.path.join(os.path.dirname(__file__), "..", ".claude-plugin", "plugin.json")
+        plugin_json = os.path.join(os.path.dirname(__file__), *parts)
        with open(plugin_json) as f:
            return json.load(f).get("version", "unknown")
    except (OSError, json.JSONDecodeError, KeyError):
        return "unknown"

-PLUGIN_VERSION = _load_plugin_version()

 POSTHOG_API_KEY = "phc_hgJkUVJFYtmaJqrvf6CYN67TIQ8yhXAkWzUn9AMU4yX"
 POSTHOG_HOST = "https://us.i.posthog.com/i/v0/e/"
@@ -58,6 +69,11 @@ def _distinct_id() -> str:


 def detect_platform() -> str:
+    explicit = os.environ.get("MEM0_PLATFORM")
+    if explicit:
+        return explicit
+    if os.environ.get("ANTIGRAVITY_PLUGIN_ROOT"):
+        return "antigravity"
    if os.environ.get("PLUGIN_ROOT"):
        return "codex"
    if os.environ.get("CLAUDECODE") or os.environ.get("CLAUDE_PLUGIN_ROOT"):
@@ -75,6 +91,7 @@ def is_enabled() -> bool:

 def build_posthog_payload(event_name: str, properties: dict | None = None) -> dict:
    project_id = os.environ.get("MEM0_PROJECT_ID") or "unknown"
+    plat = detect_platform()
    return {
        "api_key": POSTHOG_API_KEY,
        "distinct_id": _distinct_id(),
@@ -82,8 +99,8 @@ def build_posthog_payload(event_name: str, properties: dict | None = None) -> di
        "properties": {
            **(properties or {}),
            "source": "plugin",
-            "platform": detect_platform(),
-            "plugin_version": PLUGIN_VERSION,
+            "platform": plat,
+            "plugin_version": _load_plugin_version(plat),
            "project_hash": _sha256(project_id),
            "os": sys.platform,
            "os_version": platform.version(),
@@ -89,7 +89,7 @@ def test_system_props_override_caller_props(monkeypatch):
    # System props must win
    assert props["source"] == "plugin"
    assert props["platform"] == telemetry.detect_platform()
-    assert props["plugin_version"] == telemetry.PLUGIN_VERSION
+    assert props["plugin_version"] == telemetry._load_plugin_version(telemetry.detect_platform())
    # Caller-only props still present
    assert props["memory_count"] == 42

@@ -125,25 +125,31 @@ def test_hash_deterministic():
 def test_platform_claude_code(monkeypatch):
    import telemetry

-    monkeypatch.setenv("CLAUDECODE", "1")
+    monkeypatch.delenv("MEM0_PLATFORM", raising=False)
+    monkeypatch.delenv("ANTIGRAVITY_PLUGIN_ROOT", raising=False)
+    monkeypatch.delenv("PLUGIN_ROOT", raising=False)
    monkeypatch.delenv("CURSOR_PLUGIN_ROOT", raising=False)
-    monkeypatch.delenv("CODEX_PLUGIN_ROOT", raising=False)
+    monkeypatch.setenv("CLAUDECODE", "1")
    assert telemetry.detect_platform() == "claude-code"


 def test_platform_cursor(monkeypatch):
    import telemetry

+    monkeypatch.delenv("MEM0_PLATFORM", raising=False)
+    monkeypatch.delenv("ANTIGRAVITY_PLUGIN_ROOT", raising=False)
+    monkeypatch.delenv("PLUGIN_ROOT", raising=False)
    monkeypatch.delenv("CLAUDECODE", raising=False)
    monkeypatch.delenv("CLAUDE_PLUGIN_ROOT", raising=False)
    monkeypatch.setenv("CURSOR_PLUGIN_ROOT", "/path")
-    monkeypatch.delenv("CODEX_PLUGIN_ROOT", raising=False)
    assert telemetry.detect_platform() == "cursor"


 def test_platform_codex(monkeypatch):
    import telemetry

+    monkeypatch.delenv("MEM0_PLATFORM", raising=False)
+    monkeypatch.delenv("ANTIGRAVITY_PLUGIN_ROOT", raising=False)
    monkeypatch.delenv("CLAUDECODE", raising=False)
    monkeypatch.delenv("CLAUDE_PLUGIN_ROOT", raising=False)
    monkeypatch.delenv("CURSOR_PLUGIN_ROOT", raising=False)
@@ -151,6 +157,48 @@ def test_platform_codex(monkeypatch):
    assert telemetry.detect_platform() == "codex"


+def test_platform_explicit_override(monkeypatch):
+    """MEM0_PLATFORM wins over auto-detection so each editor can label
+    itself reliably even when host env vars are ambiguous or absent."""
+    import telemetry
+
+    monkeypatch.setenv("CLAUDE_PLUGIN_ROOT", "/path")  # conflicting auto-signal
+    monkeypatch.setenv("MEM0_PLATFORM", "cursor")
+    assert telemetry.detect_platform() == "cursor"
+
+
+def test_platform_antigravity(monkeypatch):
+    """Antigravity sets CLAUDE_PLUGIN_ROOT for compatibility but must be
+    attributed to its own platform, not claude-code."""
+    import telemetry
+
+    monkeypatch.delenv("MEM0_PLATFORM", raising=False)
+    monkeypatch.setenv("ANTIGRAVITY_PLUGIN_ROOT", "/ext")
+    monkeypatch.setenv("CLAUDE_PLUGIN_ROOT", "/ext")  # antigravity sets both
+    assert telemetry.detect_platform() == "antigravity"
+
+
+def test_plugin_version_is_per_editor(monkeypatch):
+    """Each editor reports the version from its OWN manifest. Antigravity is on
+    a 0.1.x line while Claude/Cursor/Codex are on 0.2.x, so they must not all
+    report the same shared version."""
+    import telemetry
+
+    plugin_dir = os.path.join(os.path.dirname(__file__), "..")
+    manifests = {
+        "antigravity": "plugin.json",
+        "claude-code": os.path.join(".claude-plugin", "plugin.json"),
+        "cursor": os.path.join(".cursor-plugin", "plugin.json"),
+        "codex": os.path.join(".codex-plugin", "plugin.json"),
+    }
+    for plat, rel in manifests.items():
+        monkeypatch.setenv("MEM0_PLATFORM", plat)
+        with open(os.path.join(plugin_dir, rel)) as f:
+            expected = json.load(f)["version"]
+        payload = telemetry.build_posthog_payload("plugin.test")
+        assert payload["properties"]["plugin_version"] == expected, f"{plat} should report {expected} from {rel}"
+
+
 def test_send_fails_silently(monkeypatch):
    import telemetry

@@ -175,3 +223,39 @@ def test_cli_no_args_exits_nonzero(monkeypatch):
    monkeypatch.delenv("MEM0_TELEMETRY", raising=False)
    monkeypatch.setattr(sys, "argv", ["telemetry.py"])
    assert telemetry.main() == 1
+
+
+def test_cursor_wrappers_pin_platform():
+    """Cursor wrappers delegate to the shared scripts, which auto-detect the
+    platform from host env vars. Since Cursor may not export CURSOR_PLUGIN_ROOT
+    to the subprocess, each wrapper must pin MEM0_PLATFORM=cursor so the
+    delegated telemetry is attributed to cursor, not the 'plugin' fallback."""
+    scripts_dir = os.path.join(os.path.dirname(__file__), "..", "scripts")
+    cursor_wrappers = [
+        "on_session_start_cursor.sh",
+        "on_user_prompt_cursor.sh",
+        "on_post_tool_use_cursor.sh",
+        "on_pre_compact_cursor.sh",
+        "on_stop_cursor.sh",
+    ]
+    for name in cursor_wrappers:
+        with open(os.path.join(scripts_dir, name)) as f:
+            content = f.read()
+        assert "export MEM0_PLATFORM=cursor" in content, f"{name} must `export MEM0_PLATFORM=cursor` before delegating"
+
+
+def test_codex_hooks_pin_platform():
+    """Codex installs standalone hooks (absolute paths) via install_codex_hooks.py,
+    so PLUGIN_ROOT is not set at runtime and the platform falls back to 'plugin'.
+    Codex runs hook commands through a shell, so every command pins
+    MEM0_PLATFORM=codex inline for correct attribution."""
+    hooks_path = os.path.join(os.path.dirname(__file__), "..", "hooks", "codex-hooks.json")
+    with open(hooks_path) as f:
+        config = json.load(f)
+
+    commands = [
+        h["command"] for entries in config["hooks"].values() for entry in entries for h in entry.get("hooks", [])
+    ]
+    assert commands, "expected at least one codex hook command"
+    for cmd in commands:
+        assert "MEM0_PLATFORM=codex" in cmd, f"codex hook command missing platform pin: {cmd}"
@@ -2,8 +2,8 @@
 * Regression tests for per-agent memory isolation helpers and
 * message filtering logic.
 */
-import { describe, it, expect } from "vitest";
-import {
+import { describe, it, expect, vi } from "vitest";
+import memoryPlugin, {
  extractAgentId,
  effectiveUserId,
  agentUserId,
@@ -16,6 +16,47 @@ import {
  filterMessagesForExtraction,
 } from "./index.ts";

+function createPluginApi(registrationMode?: string) {
+  return {
+    pluginConfig: {
+      mode: "platform",
+      apiKey: "test-api-key",
+      userId: "alice",
+    },
+    registrationMode,
+    logger: {
+      info: vi.fn(),
+      warn: vi.fn(),
+      error: vi.fn(),
+      debug: vi.fn(),
+    },
+    resolvePath: vi.fn((p: string) => p),
+    registerTool: vi.fn(),
+    on: vi.fn(),
+    registerCli: vi.fn(),
+    registerCommand: vi.fn(),
+    registerService: vi.fn(),
+    registerMemoryCapability: vi.fn(),
+  };
+}
+
+describe("plugin registration modes", () => {
+  it("keeps cli-metadata registration free of runtime side effects", () => {
+    const api = createPluginApi("cli-metadata");
+
+    memoryPlugin.register(api as any);
+
+    expect(api.registerCli).toHaveBeenCalledTimes(1);
+    expect(api.registerService).not.toHaveBeenCalled();
+    expect(api.registerMemoryCapability).not.toHaveBeenCalled();
+    expect(api.registerTool).not.toHaveBeenCalled();
+    expect(api.on).not.toHaveBeenCalled();
+    expect(api.logger.info).not.toHaveBeenCalledWith(
+      expect.stringContaining("openclaw-mem0: registered"),
+    );
+  });
+});
+
 // ---------------------------------------------------------------------------
 // extractAgentId
 // ---------------------------------------------------------------------------
@@ -25,7 +25,11 @@ import type {
  AddOptions,
  SearchOptions,
 } from "./types.ts";
-import { createProvider, providerToBackend } from "./providers.ts";
+import {
+  createProvider,
+  customCategoryMapToList,
+  providerToBackend,
+} from "./providers.ts";
 import { mem0ConfigSchema } from "./config.ts";
 import type { FileConfig } from "./config.ts";
 import { createPublicArtifactsProvider } from "./public-artifacts.ts";
@@ -38,7 +42,7 @@ import {
  isSubagentSession,
 } from "./isolation.ts";
 import {
-  loadTriagePrompt,
+  loadCompactTriagePrompt,
  loadDreamPrompt,
  isSkillsMode,
 } from "./skill-loader.ts";
@@ -107,6 +111,7 @@ const memoryPlugin = definePluginEntry({
      baseUrl: pluginAuth.baseUrl,
    };
    const cfg = mem0ConfigSchema.parse(api.pluginConfig, fileConfig);
+    const isMetadataRegistration = api.registrationMode === "cli-metadata";

    // Telemetry context bound to this plugin instance's config
    const telemetryCtx = {
@@ -122,6 +127,21 @@ const memoryPlugin = definePluginEntry({
      }
    };

+    if (isMetadataRegistration) {
+      registerCliCommands(
+        api,
+        null as any,
+        null as any,
+        cfg,
+        () => cfg.userId,
+        (id: string) => `${cfg.userId}:agent:${id}`,
+        () => ({ user_id: cfg.userId, top_k: cfg.topK }),
+        () => undefined,
+        (cmd: string) => _captureEvent(`openclaw.cli.${cmd}`, { command: cmd }),
+      );
+      return;
+    }
+
    if (cfg.needsSetup) {
      api.logger.warn(
        "openclaw-mem0: API key not configured. Memory features are disabled.\n" +
@@ -273,7 +293,8 @@ const memoryPlugin = definePluginEntry({
      if (runId) opts.run_id = runId;
      // Pass customInstructions and customCategories to control what Mem0 extracts
      if (cfg.customInstructions) opts.custom_instructions = cfg.customInstructions;
-      if (cfg.customCategories) opts.custom_categories = cfg.customCategories;
+      const customCategories = customCategoryMapToList(cfg.customCategories);
+      if (customCategories) opts.custom_categories = customCategories;
      return opts;
    }

@@ -443,7 +464,7 @@ function registerHooks(
          "openclaw-mem0: skills-mode skipping recall for system/bootstrap prompt",
        );
        // Still inject the protocol, just skip recall search
-        const systemContext = loadTriagePrompt(cfg.skills ?? {});
+        const systemContext = loadCompactTriagePrompt(cfg.skills ?? {});
        return { prependSystemContext: systemContext };
      }

@@ -453,7 +474,7 @@ function registerHooks(
      const userId = _effectiveUserId(isSubagent ? undefined : sessionId);

      // Static protocol goes in prependSystemContext (cacheable across turns)
-      let systemContext = loadTriagePrompt(cfg.skills ?? {});
+      let systemContext = loadCompactTriagePrompt(cfg.skills ?? {});
      if (isSubagent) {
        systemContext =
          "You are a subagent — use these memories for context but do not assume you are this user. Do NOT store new memories.\n\n" +
@@ -26,6 +26,7 @@ declare module "openclaw/plugin-sdk" {

  export interface OpenClawPluginApi {
    pluginConfig: Record<string, unknown>;
+    registrationMode?: "full" | "cli-metadata" | string;
    logger: {
      info(msg: string): void;
      warn(msg: string): void;
@@ -1,6 +1,6 @@
 {
  "name": "@mem0/openclaw-mem0",
-  "version": "1.0.12",
+  "version": "1.0.13",
  "type": "module",
  "description": "Mem0 memory backend for OpenClaw — platform or self-hosted open-source",
  "license": "Apache-2.0",
@@ -35,7 +35,7 @@
  },
  "dependencies": {
    "@sinclair/typebox": "0.34.47",
-    "mem0ai": "3.0.6"
+    "mem0ai": "3.0.7"
  },
  "openclaw": {
    "extensions": [
@@ -69,7 +69,8 @@
      "langsmith@<0.6.0": "^0.6.0",
      "picomatch@<2.3.2": "^2.3.2",
      "@qdrant/js-client-rest": "^1.18.0",
-      "uuid@<11.1.1": ">=11.1.1"
+      "uuid@<11.1.1": ">=11.1.1",
+      "esbuild": ">=0.28.1"
    }
  }
 }
@@ -11,6 +11,7 @@ overrides:
  picomatch@<2.3.2: ^2.3.2
  '@qdrant/js-client-rest': ^1.18.0
  uuid@<11.1.1: '>=11.1.1'
+  esbuild: '>=0.28.1'

 importers:

@@ -20,8 +21,8 @@ importers:
        specifier: 0.34.47
        version: 0.34.47
      mem0ai:
-        specifier: 3.0.6
-        version: 3.0.6(@anthropic-ai/sdk@0.40.1)(@azure/identity@4.13.1)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260610.1)(@google/genai@1.52.0)(@langchain/core@1.1.48(openai@4.104.0(ws@8.21.0)(zod@3.25.76))(ws@8.21.0))(@mistralai/mistralai@1.15.1)(@qdrant/js-client-rest@1.18.0(typescript@5.9.3))(@supabase/supabase-js@2.108.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.10.0)(cloudflare@4.5.0)(compromise@14.15.1)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.11.3)(redis@4.7.1)(ws@8.21.0)
+        specifier: 3.0.7
+        version: 3.0.7(@anthropic-ai/sdk@0.40.1)(@azure/identity@4.13.1)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260610.1)(@google/genai@1.52.0)(@langchain/core@1.1.48(openai@4.104.0(ws@8.21.0)(zod@3.25.76))(ws@8.21.0))(@mistralai/mistralai@1.15.1)(@qdrant/js-client-rest@1.18.0(typescript@5.9.3))(@supabase/supabase-js@2.108.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.10.0)(cloudflare@4.5.0)(compromise@14.15.1)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.21.0)(redis@5.12.1)(ws@8.21.0)
    devDependencies:
      '@qdrant/js-client-rest':
        specifier: ^1.18.0
@@ -40,10 +41,10 @@ importers:
        version: 5.9.3
      vite:
        specifier: ^8.0.5
-        version: 8.0.16(@types/node@22.19.20)(esbuild@0.27.7)
+        version: 8.0.16(@types/node@22.19.20)(esbuild@0.28.1)
      vitest:
        specifier: ^4.1.7
-        version: 4.1.8(@types/node@22.19.20)(@vitest/coverage-v8@4.1.8)(vite@8.0.16(@types/node@22.19.20)(esbuild@0.27.7))
+        version: 4.1.8(@types/node@22.19.20)(@vitest/coverage-v8@4.1.8)(vite@8.0.16(@types/node@22.19.20)(esbuild@0.28.1))

 packages:

@@ -149,158 +150,158 @@ packages:
  '@emnapi/wasi-threads@1.2.1':
    resolution: {integrity: sha512-uTII7OYF+/Mes/MrcIOYp5yOtSMLBWSIoLPpcgwipoiKbli6k322tcoFsxoIIxPDqW01SQGAgko4EzZi2BNv2w==}

-  '@esbuild/aix-ppc64@0.27.7':
-    resolution: {integrity: sha512-EKX3Qwmhz1eMdEJokhALr0YiD0lhQNwDqkPYyPhiSwKrh7/4KRjQc04sZ8db+5DVVnZ1LmbNDI1uAMPEUBnQPg==}
+  '@esbuild/aix-ppc64@0.28.1':
+    resolution: {integrity: sha512-Svl7tq8k/08+p6CXPpRjQ1fKX+1odH/BQbb48fV6fj3CWHhsoIOoY87w1oHXm0qEpkIK3ZfVgp0hed3XBXzXMQ==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [aix]

-  '@esbuild/android-arm64@0.27.7':
-    resolution: {integrity: sha512-62dPZHpIXzvChfvfLJow3q5dDtiNMkwiRzPylSCfriLvZeq0a1bWChrGx/BbUbPwOrsWKMn8idSllklzBy+dgQ==}
+  '@esbuild/android-arm64@0.28.1':
+    resolution: {integrity: sha512-34EGEbCIAgosYz6goLcopX6Mo7NyGv9tfwEM2/7Ce2VcVRk568iSvniGWcUXIy7wEDR1wzolcxcriFVrWYcwBg==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [android]

-  '@esbuild/android-arm@0.27.7':
-    resolution: {integrity: sha512-jbPXvB4Yj2yBV7HUfE2KHe4GJX51QplCN1pGbYjvsyCZbQmies29EoJbkEc+vYuU5o45AfQn37vZlyXy4YJ8RQ==}
+  '@esbuild/android-arm@0.28.1':
+    resolution: {integrity: sha512-0k2F129Xdio1TdJfzJ8sy1Q47vUD2NnwdhiAf7drUN1EBTfPf4hsFCtmMgu/6m8JSzsBrlmVjudMBQqOfG8usQ==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [android]

-  '@esbuild/android-x64@0.27.7':
-    resolution: {integrity: sha512-x5VpMODneVDb70PYV2VQOmIUUiBtY3D3mPBG8NxVk5CogneYhkR7MmM3yR/uMdITLrC1ml/NV1rj4bMJuy9MCg==}
+  '@esbuild/android-x64@0.28.1':
+    resolution: {integrity: sha512-dbwY7ltSMDWsRatcRpCnES4F+im88OCUgGZjy52shC7GqHRE/cYlxNbB4Z4UpJswpcc4Qxd2oE/ufM0p61IKng==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [android]

-  '@esbuild/darwin-arm64@0.27.7':
-    resolution: {integrity: sha512-5lckdqeuBPlKUwvoCXIgI2D9/ABmPq3Rdp7IfL70393YgaASt7tbju3Ac+ePVi3KDH6N2RqePfHnXkaDtY9fkw==}
+  '@esbuild/darwin-arm64@0.28.1':
+    resolution: {integrity: sha512-TZbWkQY7kvTAXbXUT7uVACR5cMHsDiSz9z7ZKAX/RTq/WJEk3QyRr0wZpNhBDX+/0CtdqUIJlOiodQcta6tY3Q==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [darwin]

-  '@esbuild/darwin-x64@0.27.7':
-    resolution: {integrity: sha512-rYnXrKcXuT7Z+WL5K980jVFdvVKhCHhUwid+dDYQpH+qu+TefcomiMAJpIiC2EM3Rjtq0sO3StMV/+3w3MyyqQ==}
+  '@esbuild/darwin-x64@0.28.1':
+    resolution: {integrity: sha512-zfdzgK9ACBNZLI/CyHTOx81SyNbM6YXn7rxSgX97VjyiPl9W1i4Ka4fgKECEoFCKGpvBj5qArWIGgQjOwkgskQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [darwin]

-  '@esbuild/freebsd-arm64@0.27.7':
-    resolution: {integrity: sha512-B48PqeCsEgOtzME2GbNM2roU29AMTuOIN91dsMO30t+Ydis3z/3Ngoj5hhnsOSSwNzS+6JppqWsuhTp6E82l2w==}
+  '@esbuild/freebsd-arm64@0.28.1':
+    resolution: {integrity: sha512-wG2EA8ENdEI0qhkSZMjfqrdY+ziCYCPMmtZjjIwOmXFjmyzEHn+UUxk5of+SYsjtfs3VpnlC7QLzSI5hY/rOAw==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [freebsd]

-  '@esbuild/freebsd-x64@0.27.7':
-    resolution: {integrity: sha512-jOBDK5XEjA4m5IJK3bpAQF9/Lelu/Z9ZcdhTRLf4cajlB+8VEhFFRjWgfy3M1O4rO2GQ/b2dLwCUGpiF/eATNQ==}
+  '@esbuild/freebsd-x64@0.28.1':
+    resolution: {integrity: sha512-i7dZ9vQgnvSCzi/rYCXNgtF/U+eKZNJBzu3eTQbRgHnM7tNSizLOkRFAl3qzVc/Op/u5YkHHa4pf/3DOYHthLQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [freebsd]

-  '@esbuild/linux-arm64@0.27.7':
-    resolution: {integrity: sha512-RZPHBoxXuNnPQO9rvjh5jdkRmVizktkT7TCDkDmQ0W2SwHInKCAV95GRuvdSvA7w4VMwfCjUiPwDi0ZO6Nfe9A==}
+  '@esbuild/linux-arm64@0.28.1':
+    resolution: {integrity: sha512-yHs+0uc8+nvEAfAfxrWQKK5peSNzBc4PegcMO0EJ2hT71uA7vB8Ihg2e77R2P7SG5uYjPbHlLLmve4LLLRCf0g==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [linux]

-  '@esbuild/linux-arm@0.27.7':
-    resolution: {integrity: sha512-RkT/YXYBTSULo3+af8Ib0ykH8u2MBh57o7q/DAs3lTJlyVQkgQvlrPTnjIzzRPQyavxtPtfg0EopvDyIt0j1rA==}
+  '@esbuild/linux-arm@0.28.1':
+    resolution: {integrity: sha512-qVXBOHQS+d5Y722GwJzJUtOLlX7km3CraOaGormF1pDtPd2C/l1SHRPgjLunLGe51Sh5YYWKMFDyV4SxgMQYTQ==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [linux]

-  '@esbuild/linux-ia32@0.27.7':
-    resolution: {integrity: sha512-GA48aKNkyQDbd3KtkplYWT102C5sn/EZTY4XROkxONgruHPU72l+gW+FfF8tf2cFjeHaRbWpOYa/uRBz/Xq1Pg==}
+  '@esbuild/linux-ia32@0.28.1':
+    resolution: {integrity: sha512-d1z4ZuP0ajrfz/FhGT4vv278rX8KnPPJx8i5+AtK7TYbx9Le9F1hyzurZpkEyjkGa9dUGhQow4C1NmeGvqxN2w==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [linux]

-  '@esbuild/linux-loong64@0.27.7':
-    resolution: {integrity: sha512-a4POruNM2oWsD4WKvBSEKGIiWQF8fZOAsycHOt6JBpZ+JN2n2JH9WAv56SOyu9X5IqAjqSIPTaJkqN8F7XOQ5Q==}
+  '@esbuild/linux-loong64@0.28.1':
+    resolution: {integrity: sha512-M5sRjUVZrkm1OAPR3dlOYzNmN+loZKGVi1VUQGrwuqLcbR6qeAz+famMhjASeH3YVKvZz+zT1jlh/keC3Rj/lg==}
    engines: {node: '>=18'}
    cpu: [loong64]
    os: [linux]

-  '@esbuild/linux-mips64el@0.27.7':
-    resolution: {integrity: sha512-KabT5I6StirGfIz0FMgl1I+R1H73Gp0ofL9A3nG3i/cYFJzKHhouBV5VWK1CSgKvVaG4q1RNpCTR2LuTVB3fIw==}
+  '@esbuild/linux-mips64el@0.28.1':
+    resolution: {integrity: sha512-mRObBZeHh2OxcBFPWE/FjylkRgZdYuiTR3vaTozquCGOH14iP9oN4x4Ge81CoIDYQrXmIxpFumJBu5MtZpnQJQ==}
    engines: {node: '>=18'}
    cpu: [mips64el]
    os: [linux]

-  '@esbuild/linux-ppc64@0.27.7':
-    resolution: {integrity: sha512-gRsL4x6wsGHGRqhtI+ifpN/vpOFTQtnbsupUF5R5YTAg+y/lKelYR1hXbnBdzDjGbMYjVJLJTd2OFmMewAgwlQ==}
+  '@esbuild/linux-ppc64@0.28.1':
+    resolution: {integrity: sha512-slScBsMAb3GFDcdrCgLwZtPYRoH2H/youv10QiZyRjmsP48fznoveWytSgCI/R0ZcUgpc0ZhIUEx6LHts8yrfQ==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [linux]

-  '@esbuild/linux-riscv64@0.27.7':
-    resolution: {integrity: sha512-hL25LbxO1QOngGzu2U5xeXtxXcW+/GvMN3ejANqXkxZ/opySAZMrc+9LY/WyjAan41unrR3YrmtTsUpwT66InQ==}
+  '@esbuild/linux-riscv64@0.28.1':
+    resolution: {integrity: sha512-kw0owk1o0GFETUJyW0jc0G4Yzs0BHZn0JDZ8JRT088vjJYX777BAs1fDGxAC+q831qOs2DTC96mNsG2opdfyyQ==}
    engines: {node: '>=18'}
    cpu: [riscv64]
    os: [linux]

-  '@esbuild/linux-s390x@0.27.7':
-    resolution: {integrity: sha512-2k8go8Ycu1Kb46vEelhu1vqEP+UeRVj2zY1pSuPdgvbd5ykAw82Lrro28vXUrRmzEsUV0NzCf54yARIK8r0fdw==}
+  '@esbuild/linux-s390x@0.28.1':
+    resolution: {integrity: sha512-/lAIjX8aYFRByhh6L5rYtPEDRqa9de/4V/juOXcta5frjvzXO4/sqEtyytse0g3zZFuWu5cDN0MkLz2qRDD2Ag==}
    engines: {node: '>=18'}
    cpu: [s390x]
    os: [linux]

-  '@esbuild/linux-x64@0.27.7':
-    resolution: {integrity: sha512-hzznmADPt+OmsYzw1EE33ccA+HPdIqiCRq7cQeL1Jlq2gb1+OyWBkMCrYGBJ+sxVzve2ZJEVeePbLM2iEIZSxA==}
+  '@esbuild/linux-x64@0.28.1':
+    resolution: {integrity: sha512-u/anNYF2mmVOEDwLtnQ1wOr3EZ9sTNGLWrsYGYwHWzGA3Si84IOkHXlbWTD1NB+9/1lcnweYKO54uhxZydNzfA==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [linux]

-  '@esbuild/netbsd-arm64@0.27.7':
-    resolution: {integrity: sha512-b6pqtrQdigZBwZxAn1UpazEisvwaIDvdbMbmrly7cDTMFnw/+3lVxxCTGOrkPVnsYIosJJXAsILG9XcQS+Yu6w==}
+  '@esbuild/netbsd-arm64@0.28.1':
+    resolution: {integrity: sha512-oks0DYbLwWMmaakTsCb+zL4E+aHRVLom9IJZOAthMQEPiQmydXHkziYEsGYRx0uNV/IjEKGAV941JzH02pflqw==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [netbsd]

-  '@esbuild/netbsd-x64@0.27.7':
-    resolution: {integrity: sha512-OfatkLojr6U+WN5EDYuoQhtM+1xco+/6FSzJJnuWiUw5eVcicbyK3dq5EeV/QHT1uy6GoDhGbFpprUiHUYggrw==}
+  '@esbuild/netbsd-x64@0.28.1':
+    resolution: {integrity: sha512-aeL6lAnN89Hz43Mlh1G8ARasbuoYvSITDEx0tHh5b7jJnHcssqgjy9Yx430GDpmCa6OyrKoS0aNRjKundRizGg==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [netbsd]

-  '@esbuild/openbsd-arm64@0.27.7':
-    resolution: {integrity: sha512-AFuojMQTxAz75Fo8idVcqoQWEHIXFRbOc1TrVcFSgCZtQfSdc1RXgB3tjOn/krRHENUB4j00bfGjyl2mJrU37A==}
+  '@esbuild/openbsd-arm64@0.28.1':
+    resolution: {integrity: sha512-MEFJe5C3R8pwXdZ5Y21oo6m7ePiS0d9pWucn99O/wvyJZChoIQKrQDxKrGeW8F5+T0okTHesAmDeiHDTIq0V/Q==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [openbsd]

-  '@esbuild/openbsd-x64@0.27.7':
-    resolution: {integrity: sha512-+A1NJmfM8WNDv5CLVQYJ5PshuRm/4cI6WMZRg1by1GwPIQPCTs1GLEUHwiiQGT5zDdyLiRM/l1G0Pv54gvtKIg==}
+  '@esbuild/openbsd-x64@0.28.1':
+    resolution: {integrity: sha512-i/ZLIOafE0Z8cI/XANJAixoJL/uRAoS2xOA3rb0xN+KK0K177cMAsQYkzHtBrtMXAKuAc7HGgcWiZ/sRC1Nxgw==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [openbsd]

-  '@esbuild/openharmony-arm64@0.27.7':
-    resolution: {integrity: sha512-+KrvYb/C8zA9CU/g0sR6w2RBw7IGc5J2BPnc3dYc5VJxHCSF1yNMxTV5LQ7GuKteQXZtspjFbiuW5/dOj7H4Yw==}
+  '@esbuild/openharmony-arm64@0.28.1':
+    resolution: {integrity: sha512-ge+Z7EXFNt2BO1oAMsVpiQ8EwndV9i1xXerAeTIK7AtPs3bKFXQM7nlRxDSIUIMeueR1CNXxqztLzdNeReKBJg==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [openharmony]

-  '@esbuild/sunos-x64@0.27.7':
-    resolution: {integrity: sha512-ikktIhFBzQNt/QDyOL580ti9+5mL/YZeUPKU2ivGtGjdTYoqz6jObj6nOMfhASpS4GU4Q/Clh1QtxWAvcYKamA==}
+  '@esbuild/sunos-x64@0.28.1':
+    resolution: {integrity: sha512-BEjgtECkL3vY+SaSQ6nzVfiALUeFxpawyp8Jmf5PtYhf1Ug40N1h/hxlhts+f1FvSvarEigdxS3BlSMI2PJLcQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [sunos]

-  '@esbuild/win32-arm64@0.27.7':
-    resolution: {integrity: sha512-7yRhbHvPqSpRUV7Q20VuDwbjW5kIMwTHpptuUzV+AA46kiPze5Z7qgt6CLCK3pWFrHeNfDd1VKgyP4O+ng17CA==}
+  '@esbuild/win32-arm64@0.28.1':
+    resolution: {integrity: sha512-lCv9eK/H6ZJWbE7bh2nw54CZ9M2nupBxJcTsdk/QQnWkdSjKGuxmmH8/GWrlT1eMmZfn4dGcCjRte397WqfQXA==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [win32]

-  '@esbuild/win32-ia32@0.27.7':
-    resolution: {integrity: sha512-SmwKXe6VHIyZYbBLJrhOoCJRB/Z1tckzmgTLfFYOfpMAx63BJEaL9ExI8x7v0oAO3Zh6D/Oi1gVxEYr5oUCFhw==}
+  '@esbuild/win32-ia32@0.28.1':
+    resolution: {integrity: sha512-zvb/mB2bSCoJOpoCBgYKKpX6YM6mJBlBUVUtVj41DlZJVEB6/0CKlRYxP5wWl1C1ILiCoAU5wZZ4q1P3qeS6Eg==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [win32]

-  '@esbuild/win32-x64@0.27.7':
-    resolution: {integrity: sha512-56hiAJPhwQ1R4i+21FVF7V8kSD5zZTdHcVuRFMW0hn753vVfQN8xlx4uOPT4xoGH0Z/oVATuR82AiqSTDIpaHg==}
+  '@esbuild/win32-x64@0.28.1':
+    resolution: {integrity: sha512-bm4Mowrv+GXMlpWX++EcXw/iLyd1o3+bJkC2DkWXYVvgZCqD/bSj9ctZeAMC3cIxgjRVR2Dufaiu4YPxr5gW1A==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [win32]
@@ -398,21 +399,12 @@ packages:
    resolution: {integrity: sha512-oQG/FejNpItrxRHoyctYvT3rwGZOnK4jr3JdppO/c78ktDvkWiPXPHNsrDf33K9sZdRb6PR7gi4noIapu5q4HA==}
    engines: {node: '>=18.0.0', pnpm: '>=8'}

-  '@redis/bloom@1.2.0':
-    resolution: {integrity: sha512-HG2DFjYKbpNmVXsa0keLHp/3leGJz1mjh09f2RLGGLQZzSHpkmZWuwJbAvo3QcRY8p80m5+ZdXZdYOSBLlp7Cg==}
-    peerDependencies:
-      '@redis/client': ^1.0.0
-
  '@redis/bloom@5.12.1':
    resolution: {integrity: sha512-PUUfv+ms7jgPSBVoo/DN4AkPHj4D5TZSd6SbJX7egzBplkYUcKmHRE8RKia7UtZ8bSQbLguLvxVO+asKtQfZWA==}
    engines: {node: '>= 18.19.0'}
    peerDependencies:
      '@redis/client': ^5.12.1

-  '@redis/client@1.6.1':
-    resolution: {integrity: sha512-/KCsg3xSlR+nCK8/8ZYSknYxvXHwubJrU82F3Lm1Fp6789VQ0/3RJKfsmRXjqfaTA++23CvC3hqmqe/2GEt6Kw==}
-    engines: {node: '>=14'}
-
  '@redis/client@5.12.1':
    resolution: {integrity: sha512-7aPGWeqA3uFm43o19umzdl16CEjK/JQGtSXVPevplTaOU3VJA/rseBC1QvYUz9lLDIMBimc4SW/zrW4S89BaCA==}
    engines: {node: '>= 18.19.0'}
@@ -425,38 +417,18 @@ packages:
      '@opentelemetry/api':
        optional: true

-  '@redis/graph@1.1.1':
-    resolution: {integrity: sha512-FEMTcTHZozZciLRl6GiiIB4zGm5z5F3F6a6FZCyrfxdKOhFlGkiAqlexWMBzCi4DcRoyiOsuLfW+cjlGWyExOw==}
-    peerDependencies:
-      '@redis/client': ^1.0.0
-
-  '@redis/json@1.0.7':
-    resolution: {integrity: sha512-6UyXfjVaTBTJtKNG4/9Z8PSpKE6XgSyEb8iwaqDcy+uKrd/DGYHTWkUdnQDyzm727V7p21WUMhsqz5oy65kPcQ==}
-    peerDependencies:
-      '@redis/client': ^1.0.0
-
  '@redis/json@5.12.1':
    resolution: {integrity: sha512-eOze75esLve4vfqDel7aMX08CNaiLLQS2fV8mpRN9NxPe1rVR4vQyYiW/OgtGUysF6QOr9ANhfxABKNOJfXdKg==}
    engines: {node: '>= 18.19.0'}
    peerDependencies:
      '@redis/client': ^5.12.1

-  '@redis/search@1.2.0':
-    resolution: {integrity: sha512-tYoDBbtqOVigEDMAcTGsRlMycIIjwMCgD8eR2t0NANeQmgK/lvxNAvYyb6bZDD4frHRhIHkJu2TBRvB0ERkOmw==}
-    peerDependencies:
-      '@redis/client': ^1.0.0
-
  '@redis/search@5.12.1':
    resolution: {integrity: sha512-ItlxbxC9cKI6IU1TLWoczwJCRb6TdmkEpWv05UrPawqaAnWGRu3rcIqsc5vN483T2fSociuyV1UkWIL5I4//2w==}
    engines: {node: '>= 18.19.0'}
    peerDependencies:
      '@redis/client': ^5.12.1

-  '@redis/time-series@1.1.0':
-    resolution: {integrity: sha512-c1Q99M5ljsIuc4YdaCwfUEXsofakb9c8+Zse2qxTadu8TalLXuAESzLvFAvNVbkmSlvlzIQOLpBCmWI9wTOt+g==}
-    peerDependencies:
-      '@redis/client': ^1.0.0
-
  '@redis/time-series@5.12.1':
    resolution: {integrity: sha512-c6JL6E3EcZJuNqKFz+KM+l9l5mpcQiKvTwgA3blt5glWJ8hjDk0yeHN3beE/MpqYIQ8UEX44ItQzgkE/gCBELQ==}
    engines: {node: '>= 18.19.0'}
@@ -498,42 +470,36 @@ packages:
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [arm64]
    os: [linux]
-    libc: [glibc]

  '@rolldown/binding-linux-arm64-musl@1.0.3':
    resolution: {integrity: sha512-VWkUHwWriDciit80wleYwKILoR/KMvxh/IdwS/paX+ZgpuRpCrKLUdadJbc0NpBEiyhpYawsJ73j9aCvOH+f7Q==}
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [arm64]
    os: [linux]
-    libc: [musl]

  '@rolldown/binding-linux-ppc64-gnu@1.0.3':
    resolution: {integrity: sha512-5f1laC0SlIR0yDbFCd8acUhvJIag6N3zC5P7oUPN6wX0aOma+uKJ0wBDH5aq7I1PVI2ttTlhJwzwRIBnLiSGEg==}
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [ppc64]
    os: [linux]
-    libc: [glibc]

  '@rolldown/binding-linux-s390x-gnu@1.0.3':
    resolution: {integrity: sha512-Iq4ko0r4XsgbrF/LunNgHtAGLRRVE2kXonAXQ/MV0mC6jQpMOhW1SvtZja2EhC/kd05++bP78dsqBeIQyYJ6Yg==}
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [s390x]
    os: [linux]
-    libc: [glibc]

  '@rolldown/binding-linux-x64-gnu@1.0.3':
    resolution: {integrity: sha512-B8m6tD5+/N5FeNQFbKlLA/2yVq9ycQP1SeedyEYYKWBNR3ZQbkvIUcNnDNM03lO1l5F2roiiFJGgvoLLyZXtSg==}
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [x64]
    os: [linux]
-    libc: [glibc]

  '@rolldown/binding-linux-x64-musl@1.0.3':
    resolution: {integrity: sha512-pSdpdUJHkuCxun9LE7jvgUB9qsRgaiyNNCX7m/AvHTcq67AiT/Yhoxvw5zPfhrM8k/BfP8ce/hMOpthKDpEUow==}
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [x64]
    os: [linux]
-    libc: [musl]

  '@rolldown/binding-openharmony-arm64@1.0.3':
    resolution: {integrity: sha512-OXXS3RKJgX2uLwM+gYyuH5omcH8fL1LJs96pZGgtetVCahON57+d4SJHzTgZiOjxgGkSnpXpOsWuPDGAKAigEg==}
@@ -595,79 +561,66 @@ packages:
    resolution: {integrity: sha512-Q8CBCCQtDFrYtXoeUXSrnFXKOnyUhx6bz+SkL6A0E7V8kAiCJ5pamq1WtbfpVGhR5TSpXY6ak3avmDc5fHTyJA==}
    cpu: [arm]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-arm-musleabihf@4.61.1':
    resolution: {integrity: sha512-nwnhk1581l0FBVellGcVCAT0Oi06onEA3WB53sf01VO3I0UPBkMH9sXONYME2K0ovXcNayJfNtHfm6mpJElatQ==}
    cpu: [arm]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-linux-arm64-gnu@4.61.1':
    resolution: {integrity: sha512-x5Xr49hwt3hdW75UOZm3395YwwzPyauktslv29KpWL/T+vVAzoT3azLcTWv0eMciBNrx+DYjH4paehHoLpPvpg==}
    cpu: [arm64]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-arm64-musl@4.61.1':
    resolution: {integrity: sha512-unMS3H73DpaoPyyEVPjGKleM/s0mkmsauTENpw4INQY8y4+IuLNjkueQ5QCtC0D3N38Y38yhAU8OoZ20S2Tm6w==}
    cpu: [arm64]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-linux-loong64-gnu@4.61.1':
    resolution: {integrity: sha512-zNZzGRnAhwjFEYmvphJRV5XaQGjs62cCmeYYHUT//NbvEnHauw+I85nGG+SiVg5ld4GX8D1IbKIX+ozITQnhMQ==}
    cpu: [loong64]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-loong64-musl@4.61.1':
    resolution: {integrity: sha512-LdpWGL8X209B2SIvWjqlc8VZgM6PKfontSerGepuldQmHYrAOtnMCXeJkxXGbC+PPZVOuu5czJo7fNV6aeW8rQ==}
    cpu: [loong64]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-linux-ppc64-gnu@4.61.1':
    resolution: {integrity: sha512-EC5kTtNaNGOmbMGqar8dvJy6y/hg99GAwjfBz++pxZhQATXGcRjd6c5en5wcbru0vkRmiMGsQKdMJOOf6sza4g==}
    cpu: [ppc64]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-ppc64-musl@4.61.1':
    resolution: {integrity: sha512-8hiwp6D4acEcNK78I4rP0/XtS1sknWIAMJBPdR4l6zUtyTm5KiTDr5bXmWt4foY7nAN7AThDHgkLIEZOWKbzWw==}
    cpu: [ppc64]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-linux-riscv64-gnu@4.61.1':
    resolution: {integrity: sha512-10dh/h/BqA7DuMPWSxkR8uks18FRwnwOEqr5zOTEl+NOwP/OMzKX8OFR/Of9xxDA7D5qef1Nzar5WDD2kCCr1g==}
    cpu: [riscv64]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-riscv64-musl@4.61.1':
    resolution: {integrity: sha512-YKJ5lg35DP17gcAOggnihe+APw9HLyj1Xn7gsmGumBJAUDa6NGXNixJzmkWLhcK9TOuuyQjdamzvJefkO7qHZQ==}
    cpu: [riscv64]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-linux-s390x-gnu@4.61.1':
    resolution: {integrity: sha512-Mlil5G2Jj6a7B3LWGctg+XPL9vdXYuzCtNXfxOQ0nPjc2m6ueUktocPGH9bnAM0bNRKb/bAWTujUU7IJQdQA+g==}
    cpu: [s390x]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-x64-gnu@4.61.1':
    resolution: {integrity: sha512-bVWIOIk6pV01p4CdUbPP7CJ/434z+OooYjDuFcR+44N35YvKUC66G8MGnvcWx5mWKW3g61J+t74l3Kj15Kwn2Q==}
    cpu: [x64]
    os: [linux]
-    libc: [glibc]

  '@rollup/rollup-linux-x64-musl@4.61.1':
    resolution: {integrity: sha512-qy5pBvZbqNFheBz61R1rzsezjm0J7O2oNGoWtGoY89SZYLUfxAJTBAqDChqAIdB4rCiIbi9nF7yZ83GnNiLwSw==}
    cpu: [x64]
    os: [linux]
-    libc: [musl]

  '@rollup/rollup-openbsd-x64@4.61.1':
    resolution: {integrity: sha512-E83TXjI4zm0+5f2qO+UOudaCYIhYwpJ5jq6YCZNIZ+6CbfhKrkAGezeiASBL9ElxAxFsRS9ZhESv8mfnj6TKeg==}
@@ -916,10 +869,6 @@ packages:
  buffer-equal-constant-time@1.0.1:
    resolution: {integrity: sha512-zRpUiDwd/xk6ADqPMATG8vc9VPrkck7T07OIx0gnjmJAnHnTVXNQG3vfvWNuiZIkwu9KrKdA1iJKfsfTVxE6NA==}

-  buffer-writer@2.0.0:
-    resolution: {integrity: sha512-a7ZpuTZU1TRtnwyCNW3I5dc0wWNC3VR9S++Ewyk2HHZdrO3CQJqSpd+95Us590V6AL7JqUAH2IwZ/398PmNFgw==}
-    engines: {node: '>=4'}
-
  buffer@5.7.1:
    resolution: {integrity: sha512-EHcyIPBQ4BSGlvjB16k5KgAJ27CIsHY/2JBmCRReo48y9rQ3MaUzWX3KVlBa4U7MyX02HdVj0K7C3WaB3ju7FQ==}

@@ -931,7 +880,7 @@ packages:
    resolution: {integrity: sha512-3WrrOuZiyaaZPWiEt4G3+IffISVC9HYlWueJEBWED4ZH4aIAC2PnkdnuRrR94M+w6yGWn4AglWtJtBI8YqvgoA==}
    engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
    peerDependencies:
-      esbuild: '>=0.18'
+      esbuild: '>=0.28.1'

  cac@6.7.14:
    resolution: {integrity: sha512-b6Ilus+c3RrdDk+JhLKUAQfzzgLEPy6wcXqS7f/xe1EETvsDP6GORG7SFuOs6cID5YkqchW/LXZbX5bc8j7ZcQ==}
@@ -1087,8 +1036,8 @@ packages:
    resolution: {integrity: sha512-j6vWzfrGVfyXxge+O0x5sh6cvxAog0a/4Rdd2K36zCMV5eJ+/+tOAngRO8cODMNWbVRdVlmGZQL2YS3yR8bIUA==}
    engines: {node: '>= 0.4'}

-  esbuild@0.27.7:
-    resolution: {integrity: sha512-IxpibTjyVnmrIQo5aqNpCgoACA/dTKLTlhMHihVHhdkxKyPO1uBBthumT0rdHmcsk9uMonIWS0m4FljWzILh3w==}
+  esbuild@0.28.1:
+    resolution: {integrity: sha512-HrJrvZv5ayxBzPfwphOoNzkzOIIlifzk0KJrGK2c8R4+LKpMtpYLQeUdjnwjWv/LZlkH2laZk+4w78pi99D4Vw==}
    engines: {node: '>=18'}
    hasBin: true

@@ -1191,10 +1140,6 @@ packages:
    resolution: {integrity: sha512-zV/5HKTfCeKWnxG0Dmrw51hEWFGfcF2xiXqcA3+J90WDuP0SvoiSO5ORvcBsifmx/FoIjgQN3oNOGaQ5PhLFkg==}
    engines: {node: '>=18'}

-  generic-pool@3.9.0:
-    resolution: {integrity: sha512-hymDOu5B53XvN4QT9dBmZxPX4CWhBPPLguTZ9MMFeFa/Kg0xWVfylOVNlJji/E7yTZWFd/q9GO5TxDLq156D7g==}
-    engines: {node: '>= 4'}
-
  get-intrinsic@1.3.0:
    resolution: {integrity: sha512-9fSjSaos/fRIVIp+xSJlE6lfwhES7LNtKaCBIamHsjr2na1BiABJPo0mOjjz8GJDURarmCPGqaiVg5mfjb98CQ==}
    engines: {node: '>= 0.4'}
@@ -1413,28 +1358,24 @@ packages:
    engines: {node: '>= 12.0.0'}
    cpu: [arm64]
    os: [linux]
-    libc: [glibc]

  lightningcss-linux-arm64-musl@1.32.0:
    resolution: {integrity: sha512-UpQkoenr4UJEzgVIYpI80lDFvRmPVg6oqboNHfoH4CQIfNA+HOrZ7Mo7KZP02dC6LjghPQJeBsvXhJod/wnIBg==}
    engines: {node: '>= 12.0.0'}
    cpu: [arm64]
    os: [linux]
-    libc: [musl]

  lightningcss-linux-x64-gnu@1.32.0:
    resolution: {integrity: sha512-V7Qr52IhZmdKPVr+Vtw8o+WLsQJYCTd8loIfpDaMRWGUZfBOYEJeyJIkqGIDMZPwPx24pUMfwSxxI8phr/MbOA==}
    engines: {node: '>= 12.0.0'}
    cpu: [x64]
    os: [linux]
-    libc: [glibc]

  lightningcss-linux-x64-musl@1.32.0:
    resolution: {integrity: sha512-bYcLp+Vb0awsiXg/80uCRezCYHNg1/l3mt0gzHnWV9XP1W5sKa5/TCdGWaR/zBM2PeF/HbsQv/j2URNOiVuxWg==}
    engines: {node: '>= 12.0.0'}
    cpu: [x64]
    os: [linux]
-    libc: [musl]

  lightningcss-win32-arm64-msvc@1.32.0:
    resolution: {integrity: sha512-8SbC8BR40pS6baCM8sbtYDSwEVQd4JlFTOlaD3gWGHfThTcABnNDBda6eTZeqbofalIJhFx0qKzgHJmcPTnGdw==}
@@ -1504,8 +1445,8 @@ packages:
  md5@2.3.0:
    resolution: {integrity: sha512-T1GITYmFaKuO91vxyoQMFETst+O71VUPEU3ze5GNzDm0OWdP8v1ziTaAEPUr/3kLsY3Sftgz242A1SetQiDL7g==}

-  mem0ai@3.0.6:
-    resolution: {integrity: sha512-X1KbCVE5351qpJ6X2KXFhQJiW+dqoHj1otA66DSdXtIEO1uXuIdyeTKeURdAH+wjXtIcFa08ylL2meA1pBk9Iw==}
+  mem0ai@3.0.7:
+    resolution: {integrity: sha512-CUHzX7DyeKTHcI3aDsSqY9LXTD7GcFxf988796TuOa4yJgGuF2Xd2NROcBhVFRo3r9y8fVmbo3c5TF9jv1KlKw==}
    engines: {node: '>=18'}
    peerDependencies:
      '@anthropic-ai/sdk': ^0.40.1
@@ -1696,9 +1637,6 @@ packages:
    resolution: {integrity: sha512-rhIwUycgwwKcP9yTOOFK/AKsAopjjCakVqLHePO3CC6Mir1Z99xT+R63jZxAT5lFZLa2inS5h+ZS2GvR99/FBg==}
    engines: {node: '>=8'}

-  packet-reader@1.0.0:
-    resolution: {integrity: sha512-HAKu/fG3HpHFO0AA8WE8q2g+gBJaZ9MG7fcKk+IJPLTGAD6Psw4443l+9DGRbOIh3/aXr7Phy0TjilYivJo5XQ==}
-
  pathe@2.0.3:
    resolution: {integrity: sha512-WUjGcAqP1gQacoQe+OBJsFA7Ld4DyXuUIjZ5cc75cLHvJ7dtNsTugphxIADwspS+AraAUePCKrSVtPLFj/F88w==}

@@ -1732,15 +1670,6 @@ packages:
    resolution: {integrity: sha512-o2XFanIMy/3+mThw69O8d4n1E5zsLhdO+OPqswezu7Z5ekP4hYDqlDjlmOpYMbzY2Br0ufCwJLdDIXeNVwcWFg==}
    engines: {node: '>=10'}

-  pg@8.11.3:
-    resolution: {integrity: sha512-+9iuvG8QfaaUrrph+kpF24cXkH1YOOUeArRNYIxq1viYHZagBxrTno7cecY1Fa44tJeZvaoG+Djpkc3JwehN5g==}
-    engines: {node: '>= 8.0.0'}
-    peerDependencies:
-      pg-native: '>=3.0.1'
-    peerDependenciesMeta:
-      pg-native:
-        optional: true
-
  pg@8.21.0:
    resolution: {integrity: sha512-AUP1EYJuHraQGsVoCQVIcM7TEJVGtDzxWtGFZd8rds9d+CCXlU5Js1rYgfLNvxy9iJrpHjGrRjoi/3BT9fRyiA==}
    engines: {node: '>= 16.0.0'}
@@ -1868,9 +1797,6 @@ packages:
    resolution: {integrity: sha512-GDhwkLfywWL2s6vEjyhri+eXmfH6j1L7JE27WhqLeYzoh/A3DBaYGEj2H/HFZCn/kMfim73FXxEJTw06WtxQwg==}
    engines: {node: '>= 14.18.0'}

-  redis@4.7.1:
-    resolution: {integrity: sha512-S1bJDnqLftzHXHP8JsT5II/CtHWQrASX5K96REjWjlmWKrviSOLWmM7QnRLstAWsu1VBBV1ffV6DzCvxNP0UJQ==}
-
  redis@5.12.1:
    resolution: {integrity: sha512-LDsoVvb/CpoV9EN3FXvgvSHNJWuCIzl9MiO3ppOevuGLpSGJhwfQjpEwfFJcQvNSddHADDdZaWx0HnmMxRXG7g==}
    engines: {node: '>= 18.19.0'}
@@ -2091,7 +2017,7 @@ packages:
    peerDependencies:
      '@types/node': ^20.19.0 || >=22.12.0
      '@vitejs/devtools': ^0.1.18
-      esbuild: ^0.27.0 || ^0.28.0
+      esbuild: '>=0.28.1'
      jiti: '>=1.21.0'
      less: ^4.0.0
      sass: ^1.70.0
@@ -2225,9 +2151,6 @@ packages:
    resolution: {integrity: sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==}
    engines: {node: '>=0.4'}

-  yallist@4.0.0:
-    resolution: {integrity: sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==}
-
  zod-to-json-schema@3.25.2:
    resolution: {integrity: sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA==}
    peerDependencies:
@@ -2401,82 +2324,82 @@ snapshots:
      tslib: 2.8.1
    optional: true

-  '@esbuild/aix-ppc64@0.27.7':
+  '@esbuild/aix-ppc64@0.28.1':
    optional: true

-  '@esbuild/android-arm64@0.27.7':
+  '@esbuild/android-arm64@0.28.1':
    optional: true

-  '@esbuild/android-arm@0.27.7':
+  '@esbuild/android-arm@0.28.1':
    optional: true

-  '@esbuild/android-x64@0.27.7':
+  '@esbuild/android-x64@0.28.1':
    optional: true

-  '@esbuild/darwin-arm64@0.27.7':
+  '@esbuild/darwin-arm64@0.28.1':
    optional: true

-  '@esbuild/darwin-x64@0.27.7':
+  '@esbuild/darwin-x64@0.28.1':
    optional: true

-  '@esbuild/freebsd-arm64@0.27.7':
+  '@esbuild/freebsd-arm64@0.28.1':
    optional: true

-  '@esbuild/freebsd-x64@0.27.7':
+  '@esbuild/freebsd-x64@0.28.1':
    optional: true

-  '@esbuild/linux-arm64@0.27.7':
+  '@esbuild/linux-arm64@0.28.1':
    optional: true

-  '@esbuild/linux-arm@0.27.7':
+  '@esbuild/linux-arm@0.28.1':
    optional: true

-  '@esbuild/linux-ia32@0.27.7':
+  '@esbuild/linux-ia32@0.28.1':
    optional: true

-  '@esbuild/linux-loong64@0.27.7':
+  '@esbuild/linux-loong64@0.28.1':
    optional: true

-  '@esbuild/linux-mips64el@0.27.7':
+  '@esbuild/linux-mips64el@0.28.1':
    optional: true

-  '@esbuild/linux-ppc64@0.27.7':
+  '@esbuild/linux-ppc64@0.28.1':
    optional: true

-  '@esbuild/linux-riscv64@0.27.7':
+  '@esbuild/linux-riscv64@0.28.1':
    optional: true

-  '@esbuild/linux-s390x@0.27.7':
+  '@esbuild/linux-s390x@0.28.1':
    optional: true

-  '@esbuild/linux-x64@0.27.7':
+  '@esbuild/linux-x64@0.28.1':
    optional: true

-  '@esbuild/netbsd-arm64@0.27.7':
+  '@esbuild/netbsd-arm64@0.28.1':
    optional: true

-  '@esbuild/netbsd-x64@0.27.7':
+  '@esbuild/netbsd-x64@0.28.1':
    optional: true

-  '@esbuild/openbsd-arm64@0.27.7':
+  '@esbuild/openbsd-arm64@0.28.1':
    optional: true

-  '@esbuild/openbsd-x64@0.27.7':
+  '@esbuild/openbsd-x64@0.28.1':
    optional: true

-  '@esbuild/openharmony-arm64@0.27.7':
+  '@esbuild/openharmony-arm64@0.28.1':
    optional: true

-  '@esbuild/sunos-x64@0.27.7':
+  '@esbuild/sunos-x64@0.28.1':
    optional: true

-  '@esbuild/win32-arm64@0.27.7':
+  '@esbuild/win32-arm64@0.28.1':
    optional: true

-  '@esbuild/win32-ia32@0.27.7':
+  '@esbuild/win32-ia32@0.28.1':
    optional: true

-  '@esbuild/win32-x64@0.27.7':
+  '@esbuild/win32-x64@0.28.1':
    optional: true

  '@google/genai@1.52.0':
@@ -2589,48 +2512,22 @@ snapshots:

  '@qdrant/openapi-typescript-fetch@1.2.6': {}

-  '@redis/bloom@1.2.0(@redis/client@1.6.1)':
-    dependencies:
-      '@redis/client': 1.6.1
-
  '@redis/bloom@5.12.1(@redis/client@5.12.1)':
    dependencies:
      '@redis/client': 5.12.1

-  '@redis/client@1.6.1':
-    dependencies:
-      cluster-key-slot: 1.1.2
-      generic-pool: 3.9.0
-      yallist: 4.0.0
-
  '@redis/client@5.12.1':
    dependencies:
      cluster-key-slot: 1.1.2

-  '@redis/graph@1.1.1(@redis/client@1.6.1)':
-    dependencies:
-      '@redis/client': 1.6.1
-
-  '@redis/json@1.0.7(@redis/client@1.6.1)':
-    dependencies:
-      '@redis/client': 1.6.1
-
  '@redis/json@5.12.1(@redis/client@5.12.1)':
    dependencies:
      '@redis/client': 5.12.1

-  '@redis/search@1.2.0(@redis/client@1.6.1)':
-    dependencies:
-      '@redis/client': 1.6.1
-
  '@redis/search@5.12.1(@redis/client@5.12.1)':
    dependencies:
      '@redis/client': 5.12.1

-  '@redis/time-series@1.1.0(@redis/client@1.6.1)':
-    dependencies:
-      '@redis/client': 1.6.1
-
  '@redis/time-series@5.12.1(@redis/client@5.12.1)':
    dependencies:
      '@redis/client': 5.12.1
@@ -2883,7 +2780,7 @@ snapshots:
      obug: 2.1.2
      std-env: 4.1.0
      tinyrainbow: 3.1.0
-      vitest: 4.1.8(@types/node@22.19.20)(@vitest/coverage-v8@4.1.8)(vite@8.0.16(@types/node@22.19.20)(esbuild@0.27.7))
+      vitest: 4.1.8(@types/node@22.19.20)(@vitest/coverage-v8@4.1.8)(vite@8.0.16(@types/node@22.19.20)(esbuild@0.28.1))

  '@vitest/expect@4.1.8':
    dependencies:
@@ -2894,13 +2791,13 @@ snapshots:
      chai: 6.2.2
      tinyrainbow: 3.1.0

-  '@vitest/mocker@4.1.8(vite@8.0.16(@types/node@22.19.20)(esbuild@0.27.7))':
+  '@vitest/mocker@4.1.8(vite@8.0.16(@types/node@22.19.20)(esbuild@0.28.1))':
    dependencies:
      '@vitest/spy': 4.1.8
      estree-walker: 3.0.3
      magic-string: 0.30.21
    optionalDependencies:
-      vite: 8.0.16(@types/node@22.19.20)(esbuild@0.27.7)
+      vite: 8.0.16(@types/node@22.19.20)(esbuild@0.28.1)

  '@vitest/pretty-format@4.1.8':
    dependencies:
@@ -3009,8 +2906,6 @@ snapshots:

  buffer-equal-constant-time@1.0.1: {}

-  buffer-writer@2.0.0: {}
-
  buffer@5.7.1:
    dependencies:
      base64-js: 1.5.1
@@ -3020,9 +2915,9 @@ snapshots:
    dependencies:
      run-applescript: 7.1.0

-  bundle-require@5.1.0(esbuild@0.27.7):
+  bundle-require@5.1.0(esbuild@0.28.1):
    dependencies:
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      load-tsconfig: 0.2.5

  cac@6.7.14: {}
@@ -3156,34 +3051,34 @@ snapshots:
      has-tostringtag: 1.0.2
      hasown: 2.0.4

-  esbuild@0.27.7:
+  esbuild@0.28.1:
    optionalDependencies:
-      '@esbuild/aix-ppc64': 0.27.7
-      '@esbuild/android-arm': 0.27.7
-      '@esbuild/android-arm64': 0.27.7
-      '@esbuild/android-x64': 0.27.7
-      '@esbuild/darwin-arm64': 0.27.7
-      '@esbuild/darwin-x64': 0.27.7
-      '@esbuild/freebsd-arm64': 0.27.7
-      '@esbuild/freebsd-x64': 0.27.7
-      '@esbuild/linux-arm': 0.27.7
-      '@esbuild/linux-arm64': 0.27.7
-      '@esbuild/linux-ia32': 0.27.7
-      '@esbuild/linux-loong64': 0.27.7
-      '@esbuild/linux-mips64el': 0.27.7
-      '@esbuild/linux-ppc64': 0.27.7
-      '@esbuild/linux-riscv64': 0.27.7
-      '@esbuild/linux-s390x': 0.27.7
-      '@esbuild/linux-x64': 0.27.7
-      '@esbuild/netbsd-arm64': 0.27.7
-      '@esbuild/netbsd-x64': 0.27.7
-      '@esbuild/openbsd-arm64': 0.27.7
-      '@esbuild/openbsd-x64': 0.27.7
-      '@esbuild/openharmony-arm64': 0.27.7
-      '@esbuild/sunos-x64': 0.27.7
-      '@esbuild/win32-arm64': 0.27.7
-      '@esbuild/win32-ia32': 0.27.7
-      '@esbuild/win32-x64': 0.27.7
+      '@esbuild/aix-ppc64': 0.28.1
+      '@esbuild/android-arm': 0.28.1
+      '@esbuild/android-arm64': 0.28.1
+      '@esbuild/android-x64': 0.28.1
+      '@esbuild/darwin-arm64': 0.28.1
+      '@esbuild/darwin-x64': 0.28.1
+      '@esbuild/freebsd-arm64': 0.28.1
+      '@esbuild/freebsd-x64': 0.28.1
+      '@esbuild/linux-arm': 0.28.1
+      '@esbuild/linux-arm64': 0.28.1
+      '@esbuild/linux-ia32': 0.28.1
+      '@esbuild/linux-loong64': 0.28.1
+      '@esbuild/linux-mips64el': 0.28.1
+      '@esbuild/linux-ppc64': 0.28.1
+      '@esbuild/linux-riscv64': 0.28.1
+      '@esbuild/linux-s390x': 0.28.1
+      '@esbuild/linux-x64': 0.28.1
+      '@esbuild/netbsd-arm64': 0.28.1
+      '@esbuild/netbsd-x64': 0.28.1
+      '@esbuild/openbsd-arm64': 0.28.1
+      '@esbuild/openbsd-x64': 0.28.1
+      '@esbuild/openharmony-arm64': 0.28.1
+      '@esbuild/sunos-x64': 0.28.1
+      '@esbuild/win32-arm64': 0.28.1
+      '@esbuild/win32-ia32': 0.28.1
+      '@esbuild/win32-x64': 0.28.1

  escape-string-regexp@2.0.0: {}

@@ -3276,8 +3171,6 @@ snapshots:
    transitivePeerDependencies:
      - supports-color

-  generic-pool@3.9.0: {}
-
  get-intrinsic@1.3.0:
    dependencies:
      call-bind-apply-helpers: 1.0.2
@@ -3582,7 +3475,7 @@ snapshots:
      crypt: 0.0.2
      is-buffer: 1.1.6

-  mem0ai@3.0.6(@anthropic-ai/sdk@0.40.1)(@azure/identity@4.13.1)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260610.1)(@google/genai@1.52.0)(@langchain/core@1.1.48(openai@4.104.0(ws@8.21.0)(zod@3.25.76))(ws@8.21.0))(@mistralai/mistralai@1.15.1)(@qdrant/js-client-rest@1.18.0(typescript@5.9.3))(@supabase/supabase-js@2.108.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.10.0)(cloudflare@4.5.0)(compromise@14.15.1)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.11.3)(redis@4.7.1)(ws@8.21.0):
+  mem0ai@3.0.7(@anthropic-ai/sdk@0.40.1)(@azure/identity@4.13.1)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260610.1)(@google/genai@1.52.0)(@langchain/core@1.1.48(openai@4.104.0(ws@8.21.0)(zod@3.25.76))(ws@8.21.0))(@mistralai/mistralai@1.15.1)(@qdrant/js-client-rest@1.18.0(typescript@5.9.3))(@supabase/supabase-js@2.108.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.10.0)(cloudflare@4.5.0)(compromise@14.15.1)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.21.0)(redis@5.12.1)(ws@8.21.0):
    dependencies:
      '@anthropic-ai/sdk': 0.40.1
      '@azure/identity': 4.13.1
@@ -3603,8 +3496,8 @@ snapshots:
      natural: 8.1.1
      ollama: 0.5.18
      openai: 4.104.0(ws@8.21.0)(zod@3.25.76)
-      pg: 8.11.3
-      redis: 4.7.1
+      pg: 8.21.0
+      redis: 5.12.1
      uuid: 14.0.0
      zod: 3.25.76
    transitivePeerDependencies:
@@ -3783,8 +3676,6 @@ snapshots:
    dependencies:
      p-finally: 1.0.0

-  packet-reader@1.0.0: {}
-
  pathe@2.0.3: {}

  pg-cloudflare@1.4.0:
@@ -3796,10 +3687,6 @@ snapshots:

  pg-numeric@1.0.2: {}

-  pg-pool@3.14.0(pg@8.11.3):
-    dependencies:
-      pg: 8.11.3
-
  pg-pool@3.14.0(pg@8.21.0):
    dependencies:
      pg: 8.21.0
@@ -3824,18 +3711,6 @@ snapshots:
      postgres-interval: 3.0.0
      postgres-range: 1.1.4

-  pg@8.11.3:
-    dependencies:
-      buffer-writer: 2.0.0
-      packet-reader: 1.0.0
-      pg-connection-string: 2.13.0
-      pg-pool: 3.14.0(pg@8.11.3)
-      pg-protocol: 1.14.0
-      pg-types: 2.2.0
-      pgpass: 1.0.5
-    optionalDependencies:
-      pg-cloudflare: 1.4.0
-
  pg@8.21.0:
    dependencies:
      pg-connection-string: 2.13.0
@@ -3960,15 +3835,6 @@ snapshots:

  readdirp@4.1.2: {}

-  redis@4.7.1:
-    dependencies:
-      '@redis/bloom': 1.2.0(@redis/client@1.6.1)
-      '@redis/client': 1.6.1
-      '@redis/graph': 1.1.1(@redis/client@1.6.1)
-      '@redis/json': 1.0.7(@redis/client@1.6.1)
-      '@redis/search': 1.2.0(@redis/client@1.6.1)
-      '@redis/time-series': 1.1.0(@redis/client@1.6.1)
-
  redis@5.12.1:
    dependencies:
      '@redis/bloom': 5.12.1(@redis/client@5.12.1)
@@ -4156,12 +4022,12 @@ snapshots:

  tsup@8.5.1(postcss@8.5.15)(typescript@5.9.3):
    dependencies:
-      bundle-require: 5.1.0(esbuild@0.27.7)
+      bundle-require: 5.1.0(esbuild@0.28.1)
      cac: 6.7.14
      chokidar: 4.0.3
      consola: 3.4.2
      debug: 4.4.3
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      fix-dts-default-cjs-exports: 1.0.1
      joycon: 3.1.1
      picocolors: 1.1.1
@@ -4204,7 +4070,7 @@ snapshots:

  uuid@14.0.0: {}

-  vite@8.0.16(@types/node@22.19.20)(esbuild@0.27.7):
+  vite@8.0.16(@types/node@22.19.20)(esbuild@0.28.1):
    dependencies:
      lightningcss: 1.32.0
      picomatch: 4.0.4
@@ -4213,13 +4079,13 @@ snapshots:
      tinyglobby: 0.2.17
    optionalDependencies:
      '@types/node': 22.19.20
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      fsevents: 2.3.3

-  vitest@4.1.8(@types/node@22.19.20)(@vitest/coverage-v8@4.1.8)(vite@8.0.16(@types/node@22.19.20)(esbuild@0.27.7)):
+  vitest@4.1.8(@types/node@22.19.20)(@vitest/coverage-v8@4.1.8)(vite@8.0.16(@types/node@22.19.20)(esbuild@0.28.1)):
    dependencies:
      '@vitest/expect': 4.1.8
-      '@vitest/mocker': 4.1.8(vite@8.0.16(@types/node@22.19.20)(esbuild@0.27.7))
+      '@vitest/mocker': 4.1.8(vite@8.0.16(@types/node@22.19.20)(esbuild@0.28.1))
      '@vitest/pretty-format': 4.1.8
      '@vitest/runner': 4.1.8
      '@vitest/snapshot': 4.1.8
@@ -4236,7 +4102,7 @@ snapshots:
      tinyexec: 1.2.4
      tinyglobby: 0.2.17
      tinyrainbow: 3.1.0
-      vite: 8.0.16(@types/node@22.19.20)(esbuild@0.27.7)
+      vite: 8.0.16(@types/node@22.19.20)(esbuild@0.28.1)
      why-is-node-running: 2.3.0
    optionalDependencies:
      '@types/node': 22.19.20
@@ -4281,8 +4147,6 @@ snapshots:

  xtend@4.0.2: {}

-  yallist@4.0.0: {}
-
  zod-to-json-schema@3.25.2(zod@4.4.3):
    dependencies:
      zod: 4.4.3
@@ -19,3 +19,4 @@ overrides:
  "picomatch@<2.3.2": "^2.3.2"
  "@qdrant/js-client-rest": "^1.18.0"
  "uuid@<11.1.1": ">=11.1.1"
+  "esbuild": ">=0.28.1"
@@ -13,6 +13,16 @@ import type {
  AddResult,
 } from "./types.ts";

+export function customCategoryMapToList(
+  categories?: Record<string, string>,
+): Array<Record<string, string>> | undefined {
+  if (!categories || typeof categories !== "object") return undefined;
+  const items = Object.entries(categories).map(([name, description]) => ({
+    [name]: description,
+  }));
+  return items.length ? items : undefined;
+}
+
 // ============================================================================
 // Result Normalizers
 // ============================================================================
@@ -2,7 +2,12 @@
 * Tests for path traversal prevention in skill-loader.
 */
 import { describe, it, expect } from "vitest";
-import { safePath, loadSkill } from "./skill-loader.ts";
+import {
+  safePath,
+  loadSkill,
+  loadTriagePrompt,
+  loadCompactTriagePrompt,
+} from "./skill-loader.ts";

 // ---------------------------------------------------------------------------
 // safePath — path containment
@@ -68,3 +73,71 @@ describe("loadSkill path traversal", () => {
    expect(result?.prompt).toBeTruthy();
  });
 });
+
+describe("loadCompactTriagePrompt", () => {
+  it("keeps the core triage instructions without inlining the full skill body", () => {
+    const prompt = loadCompactTriagePrompt();
+
+    expect(prompt).toContain("Use `memory_add` tool for ALL user facts");
+    expect(prompt).toContain("Batch facts by CATEGORY");
+    expect(prompt).toContain("ALWAYS rewrite the query");
+    expect(prompt).not.toContain("## Worked Examples");
+    expect(prompt).not.toContain("### memory_search");
+    expect(prompt).not.toContain("Conference requires at least 4 breakout rooms");
+    expect(prompt.length).toBeLessThan(3500);
+  });
+
+  it("keeps the always-recall guidance aligned with the full triage prompt", () => {
+    const config = { recall: { strategy: "always" as const } };
+    const expected =
+      "Automatic recall runs for both long-term and session memory. Use manual searches only when you need more specific context.";
+
+    expect(loadCompactTriagePrompt(config)).toContain(expected);
+    expect(loadTriagePrompt(config)).toContain(expected);
+  });
+
+  it("keeps the manual-recall guidance in compact mode", () => {
+    const prompt = loadCompactTriagePrompt({
+      recall: { strategy: "manual" },
+    });
+
+    expect(prompt).toContain("No automatic recall happens in manual mode.");
+  });
+
+  it("includes short config summaries and truncates oversized custom rules", () => {
+    const prompt = loadCompactTriagePrompt({
+      categories: {
+        travel: { importance: 0.7, ttl: "30d" },
+      },
+      customRules: {
+        include: [
+          "Always remember workshop venue requirements.",
+          "Keep track of recurring conference planning constraints.",
+          "Capture every catering preference, transit note, and presenter dependency in detail.",
+        ],
+        exclude: [
+          "Never store one-off demo logs, temporary ETA chatter, or transitory checklist updates.",
+          "Skip verbose retrospectives unless the user explicitly says the lesson should persist.",
+        ],
+      },
+    });
+
+    expect(prompt).toContain("travel (importance 0.7, expires: 30d)");
+    expect(prompt).toContain("include rule(s) and 2 exclude rule(s) are configured");
+    expect(prompt).toContain("Prompt kept compact, full rule text omitted");
+    expect(prompt).toContain('Preview: include "Always remember workshop venue requirements."');
+  });
+
+  it("omits default credential patterns in compact mode unless custom patterns are configured", () => {
+    const defaultPrompt = loadCompactTriagePrompt();
+    const customPrompt = loadCompactTriagePrompt({
+      triage: {
+        credentialPatterns: ["mem0-secret=", "Bearer "],
+      },
+    });
+
+    expect(defaultPrompt).not.toContain("Credential patterns to scan");
+    expect(customPrompt).toContain("Credential patterns to scan");
+    expect(customPrompt).toContain("mem0-secret=");
+  });
+});
@@ -191,8 +191,16 @@ function renderCategoriesBlock(
  return lines.join("\n");
 }

-function renderTriageKnobs(config: SkillsConfig): string {
+function renderTriageKnobs(
+  config: SkillsConfig,
+  options: {
+    includeCredentialPatterns?: boolean;
+    includeDefaultCredentialPatterns?: boolean;
+  } = {},
+): string {
  const lines: string[] = [];
+  const includeCredentialPatterns = options.includeCredentialPatterns ?? true;
+  const includeDefaultCredentialPatterns = options.includeDefaultCredentialPatterns ?? true;

  if (config.triage?.importanceThreshold !== undefined) {
    lines.push(
@@ -200,13 +208,82 @@ function renderTriageKnobs(config: SkillsConfig): string {
    );
  }

-  const patterns = resolveCredentialPatterns(config);
-  lines.push(`- Credential patterns to scan: ${patterns.map((p) => `\`${p}\``).join(", ")}`);
+  const hasCustomCredentialPatterns = config.triage?.credentialPatterns !== undefined;
+  if (includeCredentialPatterns && (includeDefaultCredentialPatterns || hasCustomCredentialPatterns)) {
+    const patterns = resolveCredentialPatterns(config);
+    lines.push(`- Credential patterns to scan: ${patterns.map((p) => `\`${p}\``).join(", ")}`);
+  }

  if (lines.length === 0) return "";
  return "\n## Active Configuration Overrides\n\n" + lines.join("\n");
 }

+const COMPACT_CUSTOM_RULE_CHAR_BUDGET = 280;
+const COMPACT_CUSTOM_RULE_PREVIEW_LIMIT = 2;
+
+function formatCategoryConfig(
+  name: string,
+  cat: CategoryConfig,
+): string {
+  const ttlLabel = cat.ttl ? `expires: ${cat.ttl}` : "permanent";
+  const immLabel = cat.immutable ? ", immutable" : "";
+  return `${name} (importance ${cat.importance}, ${ttlLabel}${immLabel})`;
+}
+
+function renderCompactCategories(config: SkillsConfig): string[] {
+  if (!config.categories || Object.keys(config.categories).length === 0) {
+    return [];
+  }
+
+  const mergedCategories = resolveCategories(config);
+  return [
+    "## Active Category Overrides",
+    "",
+    ...Object.entries(config.categories).map(([name]) =>
+      `- ${formatCategoryConfig(name, mergedCategories[name]!)}`,
+    ),
+  ];
+}
+
+function renderCompactCustomRules(config: SkillsConfig): string[] {
+  const includeRules = config.customRules?.include ?? [];
+  const excludeRules = config.customRules?.exclude ?? [];
+  if (includeRules.length === 0 && excludeRules.length === 0) {
+    return [];
+  }
+
+  const formatRuleList = (label: string, rules: string[]) =>
+    `${label}: ${rules.map((rule) => `"${rule}"`).join("; ")}`;
+
+  const lines: string[] = [];
+  if (includeRules.length > 0) {
+    lines.push(formatRuleList("Include", includeRules));
+  }
+  if (excludeRules.length > 0) {
+    lines.push(formatRuleList("Exclude", excludeRules));
+  }
+
+  const combined = lines.join(" ");
+  if (combined.length <= COMPACT_CUSTOM_RULE_CHAR_BUDGET) {
+    return ["## Active Custom Rules", "", ...lines.map((line) => `- ${line}`)];
+  }
+
+  const preview = [
+    ...includeRules.slice(0, COMPACT_CUSTOM_RULE_PREVIEW_LIMIT).map((rule) => `include "${rule}"`),
+    ...excludeRules.slice(0, COMPACT_CUSTOM_RULE_PREVIEW_LIMIT).map((rule) => `exclude "${rule}"`),
+  ];
+
+  return [
+    "## Active Custom Rules",
+    "",
+    `- ${includeRules.length} include rule(s) and ${excludeRules.length} exclude rule(s) are configured.`,
+    `- Prompt kept compact, full rule text omitted because it exceeded ${COMPACT_CUSTOM_RULE_CHAR_BUDGET} characters.`,
+    ...(preview.length > 0
+      ? [`- Preview: ${preview.join("; ")}`]
+      : []),
+  ];
+}
+
 // ============================================================================
 // TTL Helpers
 // ============================================================================
@@ -358,6 +435,11 @@ export function loadTriagePrompt(config: SkillsConfig = {}): string {
          "- Before updating a memory, search to find the existing version.",
        );
        parts.push("");
+      } else if (strategy === "always") {
+        parts.push(
+          "Automatic recall runs for both long-term and session memory. Use manual searches only when you need more specific context.",
+        );
+        parts.push("");
      }

      parts.push(
@@ -453,6 +535,122 @@ export function loadTriagePrompt(config: SkillsConfig = {}): string {
  return parts.join("\n");
 }

+/**
+ * Build a compact memory system prompt for skills mode turns.
+ *
+ * This keeps the required storage and search protocol, plus short config
+ * summaries, without inlining the full memory-triage skill body every turn.
+ * If the skill file cannot be read, delegate to loadTriagePrompt(), which has
+ * its own minimal inline fallback.
+ */
+export function loadCompactTriagePrompt(config: SkillsConfig = {}): string {
+  if (!readSkillFile("memory-triage")) {
+    return loadTriagePrompt(config);
+  }
+
+  const parts: string[] = [];
+  parts.push("<memory-system>");
+  parts.push(
+    "IMPORTANT: Use `memory_add` tool for ALL user facts. NEVER write user info to workspace files (USER.md, memory/).",
+  );
+  parts.push(
+    "After every response, evaluate whether a new agent would benefit from remembering this days later. Most turns should produce zero memory operations.",
+  );
+  parts.push(
+    "Only store durable, self-contained, third-person facts: identity, preferences with rationale, standing rules, decisions, projects, configurations, technical context, and relationships.",
+  );
+  parts.push(
+    "Never store credentials, tokens, webhook secrets, or raw tool output. If a secret was configured, store only that the credential was configured.",
+  );
+  parts.push(
+    "When a recalled fact materially changes, search for the existing memory and update it in place. Skip cosmetic rewording.",
+  );
+  parts.push("");
+  parts.push("## Tool Usage");
+  parts.push("");
+  parts.push(
+    "Batch facts by CATEGORY. All facts in one memory_add call must share the same category because category determines retention policy (TTL, immutability). If a turn has facts in different categories, make one call per category.",
+  );
+  parts.push(
+    'Format: memory_add(facts: ["User is Alex, backend engineer at Stripe, PST timezone"], category: "identity")',
+  );
+  parts.push(
+    'Mixed categories: memory_add(..., category: "identity") and memory_add(..., category: "decision") in separate calls.',
+  );
+  parts.push(
+    "Categories: identity, configuration, rule, preference, decision, technical, relationship, project.",
+  );
+
+  const categoryLines = renderCompactCategories(config);
+  if (categoryLines.length > 0) {
+    parts.push("");
+    parts.push(...categoryLines);
+  }
+
+  const knobLines = renderTriageKnobs(config, {
+    includeDefaultCredentialPatterns: false,
+  })
+    .split("\n")
+    .filter(Boolean);
+  if (knobLines.length > 0) {
+    parts.push("");
+    parts.push(...knobLines);
+  }
+
+  const customRuleLines = renderCompactCustomRules(config);
+  if (customRuleLines.length > 0) {
+    parts.push("");
+    parts.push(...customRuleLines);
+  }
+
+  if (config.recall?.enabled !== false) {
+    const strategy = config.recall?.strategy ?? "smart";
+    parts.push("");
+    parts.push("## Searching Memory");
+    parts.push("");
+
+    if (strategy === "manual") {
+      parts.push(
+        "No automatic recall happens in manual mode. Use memory_search proactively at conversation start, when context is missing, when topics shift, and before updating a memory.",
+      );
+    } else if (strategy === "always") {
+      parts.push(
+        "Automatic recall runs for both long-term and session memory. Use manual searches only when you need more specific context.",
+      );
+    } else {
+      parts.push(
+        "Automatic recall runs for long-term memory. Use manual searches when the injected context is not enough.",
+      );
+    }
+
+    parts.push(
+      "When calling memory_search, ALWAYS rewrite the query. NEVER pass the user's raw message.",
+    );
+    parts.push(
+      "Convert the request into 3-6 factual keywords that match stored memory language: user, decided, prefers, rule, configured, based in, plus the concrete nouns and names from the request.",
+    );
+    parts.push(
+      'WRONG: memory_search("Who was that nutritionist my wife recommended?")',
+    );
+    parts.push(
+      'RIGHT: memory_search("nutritionist wife recommended relationship")',
+    );
+    parts.push('WRONG: memory_search("What timezone am I in?")');
+    parts.push('RIGHT: memory_search("user timezone location based")');
+    // Intentionally omitted from the compact path: ENTITY SCOPING and SEARCH SCOPE.
+    // loadTriagePrompt() keeps the full explanatory sections for the non-compact path.
+    parts.push(
+      'Scope: use "long-term" for durable user context, "session" for this conversation, and "all" only when you truly need both.',
+    );
+    parts.push(
+      "When the request implies a time range or category, add filters or categories instead of broadening the query text.",
+    );
+  }
+
+  parts.push("</memory-system>");
+  return parts.join("\n");
+}
+
 /**
 * Load the dream skill prompt for consolidation sessions.
 */
@@ -6,7 +6,11 @@
 */
 import { describe, it, expect, vi, beforeEach } from "vitest";

-import { providerToBackend } from "../providers.ts";
+import {
+  createProvider,
+  customCategoryMapToList,
+  providerToBackend,
+} from "../providers.ts";

 // ---------------------------------------------------------------------------
 // Mock provider factory
@@ -37,6 +41,77 @@ beforeEach(() => {
  vi.resetAllMocks();
 });

+// ---------------------------------------------------------------------------
+// customCategoryMapToList
+// ---------------------------------------------------------------------------
+
+describe("customCategoryMapToList", () => {
+  it("converts category maps to the Mem0 SDK list shape", () => {
+    expect(
+      customCategoryMapToList({
+        preference: "User preferences",
+        work: "Work context",
+      }),
+    ).toEqual([
+      { preference: "User preferences" },
+      { work: "Work context" },
+    ]);
+  });
+
+  it("returns undefined for empty or missing category maps", () => {
+    expect(customCategoryMapToList()).toBeUndefined();
+    expect(customCategoryMapToList({})).toBeUndefined();
+  });
+});
+
+// ---------------------------------------------------------------------------
+// PlatformProvider
+// ---------------------------------------------------------------------------
+
+describe("PlatformProvider", () => {
+  it("passes custom_categories as a list to the Mem0 SDK", async () => {
+    let addOptions: Record<string, unknown> | undefined;
+
+    vi.doMock("mem0ai", () => ({
+      default: class MockMemoryClient {
+        async add(_messages: unknown, opts: Record<string, unknown>) {
+          addOptions = opts;
+          return { results: [] };
+        }
+      },
+    }));
+
+    const provider = createProvider(
+      {
+        mode: "platform",
+        apiKey: "test-key",
+        userId: "test-user",
+        autoCapture: true,
+        autoRecall: true,
+        customInstructions: "Store durable facts.",
+        customCategories: {},
+        searchThreshold: 0.1,
+        topK: 5,
+      },
+      { resolvePath: (p: string) => p } as any,
+    );
+
+    await provider.add([{ role: "user", content: "Remember this" }], {
+      user_id: "test-user",
+      custom_categories: customCategoryMapToList({
+        preference: "User preferences",
+      }),
+      source: "OPENCLAW",
+    });
+
+    expect(addOptions?.customCategories).toEqual([
+      { preference: "User preferences" },
+    ]);
+
+    vi.doUnmock("mem0ai");
+  });
+});
+
 // ---------------------------------------------------------------------------
 // search
 // ---------------------------------------------------------------------------
@@ -36,7 +36,7 @@ export interface AddOptions {
  user_id: string;
  run_id?: string;
  custom_instructions?: string;
-  custom_categories?: Record<string, string>;
+  custom_categories?: Array<Record<string, string>>;
  source?: string;
  // Agentic harness additions
  infer?: boolean;
@@ -71,7 +71,8 @@
  },
  "pnpm": {
    "overrides": {
-      "uuid@<11.1.1": ">=11.1.1"
+      "uuid@<11.1.1": ">=11.1.1",
+      "esbuild": ">=0.28.1"
    }
  }
 }
@@ -6,6 +6,7 @@ settings:

 overrides:
  uuid@<11.1.1: '>=11.1.1'
+  esbuild: '>=0.28.1'

 importers:

@@ -13,7 +14,7 @@ importers:
    dependencies:
      mem0ai:
        specifier: ^3.0.7
-        version: 3.0.7(@anthropic-ai/sdk@0.91.1(zod@3.25.76))(@azure/identity@4.13.1)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260610.1)(@google/genai@1.52.0)(@langchain/core@1.1.48(openai@6.26.0(ws@8.21.0)(zod@3.25.76))(ws@8.21.0))(@mistralai/mistralai@2.2.1)(@qdrant/js-client-rest@1.18.0(typescript@6.0.3))(@supabase/supabase-js@2.108.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.10.0)(cloudflare@4.5.0)(compromise@14.15.1)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.21.0)(redis@5.12.1)(ws@8.21.0)
+        version: 3.0.7(@anthropic-ai/sdk@0.91.1(zod@3.25.76))(@azure/identity@4.13.1)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260610.1)(@google/genai@1.52.0)(@langchain/core@1.1.48(openai@6.26.0(ws@8.21.0)(zod@3.25.76))(ws@8.21.0))(@mistralai/mistralai@2.2.1)(@qdrant/js-client-rest@1.18.0(typescript@6.0.3))(@supabase/supabase-js@2.108.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.10.0)(cloudflare@4.5.0)(compromise@14.15.1)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.11.3)(redis@5.12.1)(ws@8.21.0)
    devDependencies:
      '@earendil-works/pi-ai':
        specifier: ^0.79.0
@@ -35,7 +36,7 @@ importers:
        version: 6.0.3
      vitest:
        specifier: ^4.1.7
-        version: 4.1.8(@types/node@25.9.2)(vite@8.0.16(@types/node@25.9.2)(esbuild@0.27.7)(jiti@2.7.0)(yaml@2.9.0))
+        version: 4.1.8(@types/node@25.9.2)(vite@8.0.16(@types/node@25.9.2)(esbuild@0.28.1)(jiti@2.7.0)(yaml@2.9.0))

 packages:

@@ -253,158 +254,158 @@ packages:
  '@emnapi/wasi-threads@1.2.1':
    resolution: {integrity: sha512-uTII7OYF+/Mes/MrcIOYp5yOtSMLBWSIoLPpcgwipoiKbli6k322tcoFsxoIIxPDqW01SQGAgko4EzZi2BNv2w==}

-  '@esbuild/aix-ppc64@0.27.7':
-    resolution: {integrity: sha512-EKX3Qwmhz1eMdEJokhALr0YiD0lhQNwDqkPYyPhiSwKrh7/4KRjQc04sZ8db+5DVVnZ1LmbNDI1uAMPEUBnQPg==}
+  '@esbuild/aix-ppc64@0.28.1':
+    resolution: {integrity: sha512-Svl7tq8k/08+p6CXPpRjQ1fKX+1odH/BQbb48fV6fj3CWHhsoIOoY87w1oHXm0qEpkIK3ZfVgp0hed3XBXzXMQ==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [aix]

-  '@esbuild/android-arm64@0.27.7':
-    resolution: {integrity: sha512-62dPZHpIXzvChfvfLJow3q5dDtiNMkwiRzPylSCfriLvZeq0a1bWChrGx/BbUbPwOrsWKMn8idSllklzBy+dgQ==}
+  '@esbuild/android-arm64@0.28.1':
+    resolution: {integrity: sha512-34EGEbCIAgosYz6goLcopX6Mo7NyGv9tfwEM2/7Ce2VcVRk568iSvniGWcUXIy7wEDR1wzolcxcriFVrWYcwBg==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [android]

-  '@esbuild/android-arm@0.27.7':
-    resolution: {integrity: sha512-jbPXvB4Yj2yBV7HUfE2KHe4GJX51QplCN1pGbYjvsyCZbQmies29EoJbkEc+vYuU5o45AfQn37vZlyXy4YJ8RQ==}
+  '@esbuild/android-arm@0.28.1':
+    resolution: {integrity: sha512-0k2F129Xdio1TdJfzJ8sy1Q47vUD2NnwdhiAf7drUN1EBTfPf4hsFCtmMgu/6m8JSzsBrlmVjudMBQqOfG8usQ==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [android]

-  '@esbuild/android-x64@0.27.7':
-    resolution: {integrity: sha512-x5VpMODneVDb70PYV2VQOmIUUiBtY3D3mPBG8NxVk5CogneYhkR7MmM3yR/uMdITLrC1ml/NV1rj4bMJuy9MCg==}
+  '@esbuild/android-x64@0.28.1':
+    resolution: {integrity: sha512-dbwY7ltSMDWsRatcRpCnES4F+im88OCUgGZjy52shC7GqHRE/cYlxNbB4Z4UpJswpcc4Qxd2oE/ufM0p61IKng==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [android]

-  '@esbuild/darwin-arm64@0.27.7':
-    resolution: {integrity: sha512-5lckdqeuBPlKUwvoCXIgI2D9/ABmPq3Rdp7IfL70393YgaASt7tbju3Ac+ePVi3KDH6N2RqePfHnXkaDtY9fkw==}
+  '@esbuild/darwin-arm64@0.28.1':
+    resolution: {integrity: sha512-TZbWkQY7kvTAXbXUT7uVACR5cMHsDiSz9z7ZKAX/RTq/WJEk3QyRr0wZpNhBDX+/0CtdqUIJlOiodQcta6tY3Q==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [darwin]

-  '@esbuild/darwin-x64@0.27.7':
-    resolution: {integrity: sha512-rYnXrKcXuT7Z+WL5K980jVFdvVKhCHhUwid+dDYQpH+qu+TefcomiMAJpIiC2EM3Rjtq0sO3StMV/+3w3MyyqQ==}
+  '@esbuild/darwin-x64@0.28.1':
+    resolution: {integrity: sha512-zfdzgK9ACBNZLI/CyHTOx81SyNbM6YXn7rxSgX97VjyiPl9W1i4Ka4fgKECEoFCKGpvBj5qArWIGgQjOwkgskQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [darwin]

-  '@esbuild/freebsd-arm64@0.27.7':
-    resolution: {integrity: sha512-B48PqeCsEgOtzME2GbNM2roU29AMTuOIN91dsMO30t+Ydis3z/3Ngoj5hhnsOSSwNzS+6JppqWsuhTp6E82l2w==}
+  '@esbuild/freebsd-arm64@0.28.1':
+    resolution: {integrity: sha512-wG2EA8ENdEI0qhkSZMjfqrdY+ziCYCPMmtZjjIwOmXFjmyzEHn+UUxk5of+SYsjtfs3VpnlC7QLzSI5hY/rOAw==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [freebsd]

-  '@esbuild/freebsd-x64@0.27.7':
-    resolution: {integrity: sha512-jOBDK5XEjA4m5IJK3bpAQF9/Lelu/Z9ZcdhTRLf4cajlB+8VEhFFRjWgfy3M1O4rO2GQ/b2dLwCUGpiF/eATNQ==}
+  '@esbuild/freebsd-x64@0.28.1':
+    resolution: {integrity: sha512-i7dZ9vQgnvSCzi/rYCXNgtF/U+eKZNJBzu3eTQbRgHnM7tNSizLOkRFAl3qzVc/Op/u5YkHHa4pf/3DOYHthLQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [freebsd]

-  '@esbuild/linux-arm64@0.27.7':
-    resolution: {integrity: sha512-RZPHBoxXuNnPQO9rvjh5jdkRmVizktkT7TCDkDmQ0W2SwHInKCAV95GRuvdSvA7w4VMwfCjUiPwDi0ZO6Nfe9A==}
+  '@esbuild/linux-arm64@0.28.1':
+    resolution: {integrity: sha512-yHs+0uc8+nvEAfAfxrWQKK5peSNzBc4PegcMO0EJ2hT71uA7vB8Ihg2e77R2P7SG5uYjPbHlLLmve4LLLRCf0g==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [linux]

-  '@esbuild/linux-arm@0.27.7':
-    resolution: {integrity: sha512-RkT/YXYBTSULo3+af8Ib0ykH8u2MBh57o7q/DAs3lTJlyVQkgQvlrPTnjIzzRPQyavxtPtfg0EopvDyIt0j1rA==}
+  '@esbuild/linux-arm@0.28.1':
+    resolution: {integrity: sha512-qVXBOHQS+d5Y722GwJzJUtOLlX7km3CraOaGormF1pDtPd2C/l1SHRPgjLunLGe51Sh5YYWKMFDyV4SxgMQYTQ==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [linux]

-  '@esbuild/linux-ia32@0.27.7':
-    resolution: {integrity: sha512-GA48aKNkyQDbd3KtkplYWT102C5sn/EZTY4XROkxONgruHPU72l+gW+FfF8tf2cFjeHaRbWpOYa/uRBz/Xq1Pg==}
+  '@esbuild/linux-ia32@0.28.1':
+    resolution: {integrity: sha512-d1z4ZuP0ajrfz/FhGT4vv278rX8KnPPJx8i5+AtK7TYbx9Le9F1hyzurZpkEyjkGa9dUGhQow4C1NmeGvqxN2w==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [linux]

-  '@esbuild/linux-loong64@0.27.7':
-    resolution: {integrity: sha512-a4POruNM2oWsD4WKvBSEKGIiWQF8fZOAsycHOt6JBpZ+JN2n2JH9WAv56SOyu9X5IqAjqSIPTaJkqN8F7XOQ5Q==}
+  '@esbuild/linux-loong64@0.28.1':
+    resolution: {integrity: sha512-M5sRjUVZrkm1OAPR3dlOYzNmN+loZKGVi1VUQGrwuqLcbR6qeAz+famMhjASeH3YVKvZz+zT1jlh/keC3Rj/lg==}
    engines: {node: '>=18'}
    cpu: [loong64]
    os: [linux]

-  '@esbuild/linux-mips64el@0.27.7':
-    resolution: {integrity: sha512-KabT5I6StirGfIz0FMgl1I+R1H73Gp0ofL9A3nG3i/cYFJzKHhouBV5VWK1CSgKvVaG4q1RNpCTR2LuTVB3fIw==}
+  '@esbuild/linux-mips64el@0.28.1':
+    resolution: {integrity: sha512-mRObBZeHh2OxcBFPWE/FjylkRgZdYuiTR3vaTozquCGOH14iP9oN4x4Ge81CoIDYQrXmIxpFumJBu5MtZpnQJQ==}
    engines: {node: '>=18'}
    cpu: [mips64el]
    os: [linux]

-  '@esbuild/linux-ppc64@0.27.7':
-    resolution: {integrity: sha512-gRsL4x6wsGHGRqhtI+ifpN/vpOFTQtnbsupUF5R5YTAg+y/lKelYR1hXbnBdzDjGbMYjVJLJTd2OFmMewAgwlQ==}
+  '@esbuild/linux-ppc64@0.28.1':
+    resolution: {integrity: sha512-slScBsMAb3GFDcdrCgLwZtPYRoH2H/youv10QiZyRjmsP48fznoveWytSgCI/R0ZcUgpc0ZhIUEx6LHts8yrfQ==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [linux]

-  '@esbuild/linux-riscv64@0.27.7':
-    resolution: {integrity: sha512-hL25LbxO1QOngGzu2U5xeXtxXcW+/GvMN3ejANqXkxZ/opySAZMrc+9LY/WyjAan41unrR3YrmtTsUpwT66InQ==}
+  '@esbuild/linux-riscv64@0.28.1':
+    resolution: {integrity: sha512-kw0owk1o0GFETUJyW0jc0G4Yzs0BHZn0JDZ8JRT088vjJYX777BAs1fDGxAC+q831qOs2DTC96mNsG2opdfyyQ==}
    engines: {node: '>=18'}
    cpu: [riscv64]
    os: [linux]

-  '@esbuild/linux-s390x@0.27.7':
-    resolution: {integrity: sha512-2k8go8Ycu1Kb46vEelhu1vqEP+UeRVj2zY1pSuPdgvbd5ykAw82Lrro28vXUrRmzEsUV0NzCf54yARIK8r0fdw==}
+  '@esbuild/linux-s390x@0.28.1':
+    resolution: {integrity: sha512-/lAIjX8aYFRByhh6L5rYtPEDRqa9de/4V/juOXcta5frjvzXO4/sqEtyytse0g3zZFuWu5cDN0MkLz2qRDD2Ag==}
    engines: {node: '>=18'}
    cpu: [s390x]
    os: [linux]

-  '@esbuild/linux-x64@0.27.7':
-    resolution: {integrity: sha512-hzznmADPt+OmsYzw1EE33ccA+HPdIqiCRq7cQeL1Jlq2gb1+OyWBkMCrYGBJ+sxVzve2ZJEVeePbLM2iEIZSxA==}
+  '@esbuild/linux-x64@0.28.1':
+    resolution: {integrity: sha512-u/anNYF2mmVOEDwLtnQ1wOr3EZ9sTNGLWrsYGYwHWzGA3Si84IOkHXlbWTD1NB+9/1lcnweYKO54uhxZydNzfA==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [linux]

-  '@esbuild/netbsd-arm64@0.27.7':
-    resolution: {integrity: sha512-b6pqtrQdigZBwZxAn1UpazEisvwaIDvdbMbmrly7cDTMFnw/+3lVxxCTGOrkPVnsYIosJJXAsILG9XcQS+Yu6w==}
+  '@esbuild/netbsd-arm64@0.28.1':
+    resolution: {integrity: sha512-oks0DYbLwWMmaakTsCb+zL4E+aHRVLom9IJZOAthMQEPiQmydXHkziYEsGYRx0uNV/IjEKGAV941JzH02pflqw==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [netbsd]

-  '@esbuild/netbsd-x64@0.27.7':
-    resolution: {integrity: sha512-OfatkLojr6U+WN5EDYuoQhtM+1xco+/6FSzJJnuWiUw5eVcicbyK3dq5EeV/QHT1uy6GoDhGbFpprUiHUYggrw==}
+  '@esbuild/netbsd-x64@0.28.1':
+    resolution: {integrity: sha512-aeL6lAnN89Hz43Mlh1G8ARasbuoYvSITDEx0tHh5b7jJnHcssqgjy9Yx430GDpmCa6OyrKoS0aNRjKundRizGg==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [netbsd]

-  '@esbuild/openbsd-arm64@0.27.7':
-    resolution: {integrity: sha512-AFuojMQTxAz75Fo8idVcqoQWEHIXFRbOc1TrVcFSgCZtQfSdc1RXgB3tjOn/krRHENUB4j00bfGjyl2mJrU37A==}
+  '@esbuild/openbsd-arm64@0.28.1':
+    resolution: {integrity: sha512-MEFJe5C3R8pwXdZ5Y21oo6m7ePiS0d9pWucn99O/wvyJZChoIQKrQDxKrGeW8F5+T0okTHesAmDeiHDTIq0V/Q==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [openbsd]

-  '@esbuild/openbsd-x64@0.27.7':
-    resolution: {integrity: sha512-+A1NJmfM8WNDv5CLVQYJ5PshuRm/4cI6WMZRg1by1GwPIQPCTs1GLEUHwiiQGT5zDdyLiRM/l1G0Pv54gvtKIg==}
+  '@esbuild/openbsd-x64@0.28.1':
+    resolution: {integrity: sha512-i/ZLIOafE0Z8cI/XANJAixoJL/uRAoS2xOA3rb0xN+KK0K177cMAsQYkzHtBrtMXAKuAc7HGgcWiZ/sRC1Nxgw==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [openbsd]

-  '@esbuild/openharmony-arm64@0.27.7':
-    resolution: {integrity: sha512-+KrvYb/C8zA9CU/g0sR6w2RBw7IGc5J2BPnc3dYc5VJxHCSF1yNMxTV5LQ7GuKteQXZtspjFbiuW5/dOj7H4Yw==}
+  '@esbuild/openharmony-arm64@0.28.1':
+    resolution: {integrity: sha512-ge+Z7EXFNt2BO1oAMsVpiQ8EwndV9i1xXerAeTIK7AtPs3bKFXQM7nlRxDSIUIMeueR1CNXxqztLzdNeReKBJg==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [openharmony]

-  '@esbuild/sunos-x64@0.27.7':
-    resolution: {integrity: sha512-ikktIhFBzQNt/QDyOL580ti9+5mL/YZeUPKU2ivGtGjdTYoqz6jObj6nOMfhASpS4GU4Q/Clh1QtxWAvcYKamA==}
+  '@esbuild/sunos-x64@0.28.1':
+    resolution: {integrity: sha512-BEjgtECkL3vY+SaSQ6nzVfiALUeFxpawyp8Jmf5PtYhf1Ug40N1h/hxlhts+f1FvSvarEigdxS3BlSMI2PJLcQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [sunos]

-  '@esbuild/win32-arm64@0.27.7':
-    resolution: {integrity: sha512-7yRhbHvPqSpRUV7Q20VuDwbjW5kIMwTHpptuUzV+AA46kiPze5Z7qgt6CLCK3pWFrHeNfDd1VKgyP4O+ng17CA==}
+  '@esbuild/win32-arm64@0.28.1':
+    resolution: {integrity: sha512-lCv9eK/H6ZJWbE7bh2nw54CZ9M2nupBxJcTsdk/QQnWkdSjKGuxmmH8/GWrlT1eMmZfn4dGcCjRte397WqfQXA==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [win32]

-  '@esbuild/win32-ia32@0.27.7':
-    resolution: {integrity: sha512-SmwKXe6VHIyZYbBLJrhOoCJRB/Z1tckzmgTLfFYOfpMAx63BJEaL9ExI8x7v0oAO3Zh6D/Oi1gVxEYr5oUCFhw==}
+  '@esbuild/win32-ia32@0.28.1':
+    resolution: {integrity: sha512-zvb/mB2bSCoJOpoCBgYKKpX6YM6mJBlBUVUtVj41DlZJVEB6/0CKlRYxP5wWl1C1ILiCoAU5wZZ4q1P3qeS6Eg==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [win32]

-  '@esbuild/win32-x64@0.27.7':
-    resolution: {integrity: sha512-56hiAJPhwQ1R4i+21FVF7V8kSD5zZTdHcVuRFMW0hn753vVfQN8xlx4uOPT4xoGH0Z/oVATuR82AiqSTDIpaHg==}
+  '@esbuild/win32-x64@0.28.1':
+    resolution: {integrity: sha512-bm4Mowrv+GXMlpWX++EcXw/iLyd1o3+bJkC2DkWXYVvgZCqD/bSj9ctZeAMC3cIxgjRVR2Dufaiu4YPxr5gW1A==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [win32]
@@ -469,30 +470,35 @@ packages:
    engines: {node: '>= 10'}
    cpu: [arm64]
    os: [linux]
+    libc: [glibc]

  '@mariozechner/clipboard-linux-arm64-musl@0.3.9':
    resolution: {integrity: sha512-AGuJdgKsmJdm4Pych7kv3sqe591ERRaAHW3xjLooiFzn8J+PxUyof++7YZrB5Y5tpnTO+K18Og3taj2NpluCRQ==}
    engines: {node: '>= 10'}
    cpu: [arm64]
    os: [linux]
+    libc: [musl]

  '@mariozechner/clipboard-linux-riscv64-gnu@0.3.9':
    resolution: {integrity: sha512-DXBEAiuMpk7dhS1a9NzNxVAFi1vaKoPu7rQNgY8LIDLGrK3lnIp3nT10DUum+PKVJoJppIP+NAA8IZe4DMNDPw==}
    engines: {node: '>= 10'}
    cpu: [riscv64]
    os: [linux]
+    libc: [glibc]

  '@mariozechner/clipboard-linux-x64-gnu@0.3.9':
    resolution: {integrity: sha512-WORrMLd6EpElEME7JRKfSaY34nW1P5LbdgK5YNCS1ncG2LqmITsSMEJ8nh2mpvxb3TxqbOOKgY7k9eMJYlW9Mw==}
    engines: {node: '>= 10'}
    cpu: [x64]
    os: [linux]
+    libc: [glibc]

  '@mariozechner/clipboard-linux-x64-musl@0.3.9':
    resolution: {integrity: sha512-/DHn+1DrfL6oRaPPWXaOKvonFFrni666fxd+zFqiQEfvBH0tsHVWjq9iqBk0oDp0qaPA72lIMy5BptxISBEhZQ==}
    engines: {node: '>= 10'}
    cpu: [x64]
    os: [linux]
+    libc: [musl]

  '@mariozechner/clipboard-win32-arm64-msvc@0.3.9':
    resolution: {integrity: sha512-O5FHD3ErkMwMhNzAfu3ggy0ug4z7btZuoQgwwxlzPrwV2bxlD6WDpqBY4NCgICAgZdDKdp+loUEKVAVt8aYnhQ==}
@@ -639,36 +645,42 @@ packages:
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [arm64]
    os: [linux]
+    libc: [glibc]

  '@rolldown/binding-linux-arm64-musl@1.0.3':
    resolution: {integrity: sha512-VWkUHwWriDciit80wleYwKILoR/KMvxh/IdwS/paX+ZgpuRpCrKLUdadJbc0NpBEiyhpYawsJ73j9aCvOH+f7Q==}
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [arm64]
    os: [linux]
+    libc: [musl]

  '@rolldown/binding-linux-ppc64-gnu@1.0.3':
    resolution: {integrity: sha512-5f1laC0SlIR0yDbFCd8acUhvJIag6N3zC5P7oUPN6wX0aOma+uKJ0wBDH5aq7I1PVI2ttTlhJwzwRIBnLiSGEg==}
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [ppc64]
    os: [linux]
+    libc: [glibc]

  '@rolldown/binding-linux-s390x-gnu@1.0.3':
    resolution: {integrity: sha512-Iq4ko0r4XsgbrF/LunNgHtAGLRRVE2kXonAXQ/MV0mC6jQpMOhW1SvtZja2EhC/kd05++bP78dsqBeIQyYJ6Yg==}
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [s390x]
    os: [linux]
+    libc: [glibc]

  '@rolldown/binding-linux-x64-gnu@1.0.3':
    resolution: {integrity: sha512-B8m6tD5+/N5FeNQFbKlLA/2yVq9ycQP1SeedyEYYKWBNR3ZQbkvIUcNnDNM03lO1l5F2roiiFJGgvoLLyZXtSg==}
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [x64]
    os: [linux]
+    libc: [glibc]

  '@rolldown/binding-linux-x64-musl@1.0.3':
    resolution: {integrity: sha512-pSdpdUJHkuCxun9LE7jvgUB9qsRgaiyNNCX7m/AvHTcq67AiT/Yhoxvw5zPfhrM8k/BfP8ce/hMOpthKDpEUow==}
    engines: {node: ^20.19.0 || >=22.12.0}
    cpu: [x64]
    os: [linux]
+    libc: [musl]

  '@rolldown/binding-openharmony-arm64@1.0.3':
    resolution: {integrity: sha512-OXXS3RKJgX2uLwM+gYyuH5omcH8fL1LJs96pZGgtetVCahON57+d4SJHzTgZiOjxgGkSnpXpOsWuPDGAKAigEg==}
@@ -730,66 +742,79 @@ packages:
    resolution: {integrity: sha512-Q8CBCCQtDFrYtXoeUXSrnFXKOnyUhx6bz+SkL6A0E7V8kAiCJ5pamq1WtbfpVGhR5TSpXY6ak3avmDc5fHTyJA==}
    cpu: [arm]
    os: [linux]
+    libc: [glibc]

  '@rollup/rollup-linux-arm-musleabihf@4.61.1':
    resolution: {integrity: sha512-nwnhk1581l0FBVellGcVCAT0Oi06onEA3WB53sf01VO3I0UPBkMH9sXONYME2K0ovXcNayJfNtHfm6mpJElatQ==}
    cpu: [arm]
    os: [linux]
+    libc: [musl]

  '@rollup/rollup-linux-arm64-gnu@4.61.1':
    resolution: {integrity: sha512-x5Xr49hwt3hdW75UOZm3395YwwzPyauktslv29KpWL/T+vVAzoT3azLcTWv0eMciBNrx+DYjH4paehHoLpPvpg==}
    cpu: [arm64]
    os: [linux]
+    libc: [glibc]

  '@rollup/rollup-linux-arm64-musl@4.61.1':
    resolution: {integrity: sha512-unMS3H73DpaoPyyEVPjGKleM/s0mkmsauTENpw4INQY8y4+IuLNjkueQ5QCtC0D3N38Y38yhAU8OoZ20S2Tm6w==}
    cpu: [arm64]
    os: [linux]
+    libc: [musl]

  '@rollup/rollup-linux-loong64-gnu@4.61.1':
    resolution: {integrity: sha512-zNZzGRnAhwjFEYmvphJRV5XaQGjs62cCmeYYHUT//NbvEnHauw+I85nGG+SiVg5ld4GX8D1IbKIX+ozITQnhMQ==}
    cpu: [loong64]
    os: [linux]
+    libc: [glibc]

  '@rollup/rollup-linux-loong64-musl@4.61.1':
    resolution: {integrity: sha512-LdpWGL8X209B2SIvWjqlc8VZgM6PKfontSerGepuldQmHYrAOtnMCXeJkxXGbC+PPZVOuu5czJo7fNV6aeW8rQ==}
    cpu: [loong64]
    os: [linux]
+    libc: [musl]

  '@rollup/rollup-linux-ppc64-gnu@4.61.1':
    resolution: {integrity: sha512-EC5kTtNaNGOmbMGqar8dvJy6y/hg99GAwjfBz++pxZhQATXGcRjd6c5en5wcbru0vkRmiMGsQKdMJOOf6sza4g==}
    cpu: [ppc64]
    os: [linux]
+    libc: [glibc]

  '@rollup/rollup-linux-ppc64-musl@4.61.1':
    resolution: {integrity: sha512-8hiwp6D4acEcNK78I4rP0/XtS1sknWIAMJBPdR4l6zUtyTm5KiTDr5bXmWt4foY7nAN7AThDHgkLIEZOWKbzWw==}
    cpu: [ppc64]
    os: [linux]
+    libc: [musl]

  '@rollup/rollup-linux-riscv64-gnu@4.61.1':
    resolution: {integrity: sha512-10dh/h/BqA7DuMPWSxkR8uks18FRwnwOEqr5zOTEl+NOwP/OMzKX8OFR/Of9xxDA7D5qef1Nzar5WDD2kCCr1g==}
    cpu: [riscv64]
    os: [linux]
+    libc: [glibc]

  '@rollup/rollup-linux-riscv64-musl@4.61.1':
    resolution: {integrity: sha512-YKJ5lg35DP17gcAOggnihe+APw9HLyj1Xn7gsmGumBJAUDa6NGXNixJzmkWLhcK9TOuuyQjdamzvJefkO7qHZQ==}
    cpu: [riscv64]
    os: [linux]
+    libc: [musl]

  '@rollup/rollup-linux-s390x-gnu@4.61.1':
    resolution: {integrity: sha512-Mlil5G2Jj6a7B3LWGctg+XPL9vdXYuzCtNXfxOQ0nPjc2m6ueUktocPGH9bnAM0bNRKb/bAWTujUU7IJQdQA+g==}
    cpu: [s390x]
    os: [linux]
+    libc: [glibc]

  '@rollup/rollup-linux-x64-gnu@4.61.1':
    resolution: {integrity: sha512-bVWIOIk6pV01p4CdUbPP7CJ/434z+OooYjDuFcR+44N35YvKUC66G8MGnvcWx5mWKW3g61J+t74l3Kj15Kwn2Q==}
    cpu: [x64]
    os: [linux]
+    libc: [glibc]

  '@rollup/rollup-linux-x64-musl@4.61.1':
    resolution: {integrity: sha512-qy5pBvZbqNFheBz61R1rzsezjm0J7O2oNGoWtGoY89SZYLUfxAJTBAqDChqAIdB4rCiIbi9nF7yZ83GnNiLwSw==}
    cpu: [x64]
    os: [linux]
+    libc: [musl]

  '@rollup/rollup-openbsd-x64@4.61.1':
    resolution: {integrity: sha512-E83TXjI4zm0+5f2qO+UOudaCYIhYwpJ5jq6YCZNIZ+6CbfhKrkAGezeiASBL9ElxAxFsRS9ZhESv8mfnj6TKeg==}
@@ -1080,6 +1105,10 @@ packages:
  buffer-equal-constant-time@1.0.1:
    resolution: {integrity: sha512-zRpUiDwd/xk6ADqPMATG8vc9VPrkck7T07OIx0gnjmJAnHnTVXNQG3vfvWNuiZIkwu9KrKdA1iJKfsfTVxE6NA==}

+  buffer-writer@2.0.0:
+    resolution: {integrity: sha512-a7ZpuTZU1TRtnwyCNW3I5dc0wWNC3VR9S++Ewyk2HHZdrO3CQJqSpd+95Us590V6AL7JqUAH2IwZ/398PmNFgw==}
+    engines: {node: '>=4'}
+
  buffer@5.7.1:
    resolution: {integrity: sha512-EHcyIPBQ4BSGlvjB16k5KgAJ27CIsHY/2JBmCRReo48y9rQ3MaUzWX3KVlBa4U7MyX02HdVj0K7C3WaB3ju7FQ==}

@@ -1091,7 +1120,7 @@ packages:
    resolution: {integrity: sha512-3WrrOuZiyaaZPWiEt4G3+IffISVC9HYlWueJEBWED4ZH4aIAC2PnkdnuRrR94M+w6yGWn4AglWtJtBI8YqvgoA==}
    engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
    peerDependencies:
-      esbuild: '>=0.18'
+      esbuild: '>=0.28.1'

  cac@6.7.14:
    resolution: {integrity: sha512-b6Ilus+c3RrdDk+JhLKUAQfzzgLEPy6wcXqS7f/xe1EETvsDP6GORG7SFuOs6cID5YkqchW/LXZbX5bc8j7ZcQ==}
@@ -1259,8 +1288,8 @@ packages:
    resolution: {integrity: sha512-j6vWzfrGVfyXxge+O0x5sh6cvxAog0a/4Rdd2K36zCMV5eJ+/+tOAngRO8cODMNWbVRdVlmGZQL2YS3yR8bIUA==}
    engines: {node: '>= 0.4'}

-  esbuild@0.27.7:
-    resolution: {integrity: sha512-IxpibTjyVnmrIQo5aqNpCgoACA/dTKLTlhMHihVHhdkxKyPO1uBBthumT0rdHmcsk9uMonIWS0m4FljWzILh3w==}
+  esbuild@0.28.1:
+    resolution: {integrity: sha512-HrJrvZv5ayxBzPfwphOoNzkzOIIlifzk0KJrGK2c8R4+LKpMtpYLQeUdjnwjWv/LZlkH2laZk+4w78pi99D4Vw==}
    engines: {node: '>=18'}
    hasBin: true

@@ -1600,24 +1629,28 @@ packages:
    engines: {node: '>= 12.0.0'}
    cpu: [arm64]
    os: [linux]
+    libc: [glibc]

  lightningcss-linux-arm64-musl@1.32.0:
    resolution: {integrity: sha512-UpQkoenr4UJEzgVIYpI80lDFvRmPVg6oqboNHfoH4CQIfNA+HOrZ7Mo7KZP02dC6LjghPQJeBsvXhJod/wnIBg==}
    engines: {node: '>= 12.0.0'}
    cpu: [arm64]
    os: [linux]
+    libc: [musl]

  lightningcss-linux-x64-gnu@1.32.0:
    resolution: {integrity: sha512-V7Qr52IhZmdKPVr+Vtw8o+WLsQJYCTd8loIfpDaMRWGUZfBOYEJeyJIkqGIDMZPwPx24pUMfwSxxI8phr/MbOA==}
    engines: {node: '>= 12.0.0'}
    cpu: [x64]
    os: [linux]
+    libc: [glibc]

  lightningcss-linux-x64-musl@1.32.0:
    resolution: {integrity: sha512-bYcLp+Vb0awsiXg/80uCRezCYHNg1/l3mt0gzHnWV9XP1W5sKa5/TCdGWaR/zBM2PeF/HbsQv/j2URNOiVuxWg==}
    engines: {node: '>= 12.0.0'}
    cpu: [x64]
    os: [linux]
+    libc: [musl]

  lightningcss-win32-arm64-msvc@1.32.0:
    resolution: {integrity: sha512-8SbC8BR40pS6baCM8sbtYDSwEVQd4JlFTOlaD3gWGHfThTcABnNDBda6eTZeqbofalIJhFx0qKzgHJmcPTnGdw==}
@@ -1901,6 +1934,9 @@ packages:
    resolution: {integrity: sha512-rhIwUycgwwKcP9yTOOFK/AKsAopjjCakVqLHePO3CC6Mir1Z99xT+R63jZxAT5lFZLa2inS5h+ZS2GvR99/FBg==}
    engines: {node: '>=8'}

+  packet-reader@1.0.0:
+    resolution: {integrity: sha512-HAKu/fG3HpHFO0AA8WE8q2g+gBJaZ9MG7fcKk+IJPLTGAD6Psw4443l+9DGRbOIh3/aXr7Phy0TjilYivJo5XQ==}
+
  partial-json@0.1.7:
    resolution: {integrity: sha512-Njv/59hHaokb/hRUjce3Hdv12wd60MtM9Z5Olmn+nehe0QDAsRtRbJPvJ0Z91TusF0SuZRIvnM+S4l6EIP8leA==}

@@ -1949,6 +1985,15 @@ packages:
    resolution: {integrity: sha512-o2XFanIMy/3+mThw69O8d4n1E5zsLhdO+OPqswezu7Z5ekP4hYDqlDjlmOpYMbzY2Br0ufCwJLdDIXeNVwcWFg==}
    engines: {node: '>=10'}

+  pg@8.11.3:
+    resolution: {integrity: sha512-+9iuvG8QfaaUrrph+kpF24cXkH1YOOUeArRNYIxq1viYHZagBxrTno7cecY1Fa44tJeZvaoG+Djpkc3JwehN5g==}
+    engines: {node: '>= 8.0.0'}
+    peerDependencies:
+      pg-native: '>=3.0.1'
+    peerDependenciesMeta:
+      pg-native:
+        optional: true
+
  pg@8.21.0:
    resolution: {integrity: sha512-AUP1EYJuHraQGsVoCQVIcM7TEJVGtDzxWtGFZd8rds9d+CCXlU5Js1rYgfLNvxy9iJrpHjGrRjoi/3BT9fRyiA==}
    engines: {node: '>= 16.0.0'}
@@ -2330,7 +2375,7 @@ packages:
    peerDependencies:
      '@types/node': ^20.19.0 || >=22.12.0
      '@vitejs/devtools': ^0.1.18
-      esbuild: ^0.27.0 || ^0.28.0
+      esbuild: '>=0.28.1'
      jiti: '>=1.21.0'
      less: ^4.0.0
      sass: ^1.70.0
@@ -2925,82 +2970,82 @@ snapshots:
      tslib: 2.8.1
    optional: true

-  '@esbuild/aix-ppc64@0.27.7':
+  '@esbuild/aix-ppc64@0.28.1':
    optional: true

-  '@esbuild/android-arm64@0.27.7':
+  '@esbuild/android-arm64@0.28.1':
    optional: true

-  '@esbuild/android-arm@0.27.7':
+  '@esbuild/android-arm@0.28.1':
    optional: true

-  '@esbuild/android-x64@0.27.7':
+  '@esbuild/android-x64@0.28.1':
    optional: true

-  '@esbuild/darwin-arm64@0.27.7':
+  '@esbuild/darwin-arm64@0.28.1':
    optional: true

-  '@esbuild/darwin-x64@0.27.7':
+  '@esbuild/darwin-x64@0.28.1':
    optional: true

-  '@esbuild/freebsd-arm64@0.27.7':
+  '@esbuild/freebsd-arm64@0.28.1':
    optional: true

-  '@esbuild/freebsd-x64@0.27.7':
+  '@esbuild/freebsd-x64@0.28.1':
    optional: true

-  '@esbuild/linux-arm64@0.27.7':
+  '@esbuild/linux-arm64@0.28.1':
    optional: true

-  '@esbuild/linux-arm@0.27.7':
+  '@esbuild/linux-arm@0.28.1':
    optional: true

-  '@esbuild/linux-ia32@0.27.7':
+  '@esbuild/linux-ia32@0.28.1':
    optional: true

-  '@esbuild/linux-loong64@0.27.7':
+  '@esbuild/linux-loong64@0.28.1':
    optional: true

-  '@esbuild/linux-mips64el@0.27.7':
+  '@esbuild/linux-mips64el@0.28.1':
    optional: true

-  '@esbuild/linux-ppc64@0.27.7':
+  '@esbuild/linux-ppc64@0.28.1':
    optional: true

-  '@esbuild/linux-riscv64@0.27.7':
+  '@esbuild/linux-riscv64@0.28.1':
    optional: true

-  '@esbuild/linux-s390x@0.27.7':
+  '@esbuild/linux-s390x@0.28.1':
    optional: true

-  '@esbuild/linux-x64@0.27.7':
+  '@esbuild/linux-x64@0.28.1':
    optional: true

-  '@esbuild/netbsd-arm64@0.27.7':
+  '@esbuild/netbsd-arm64@0.28.1':
    optional: true

-  '@esbuild/netbsd-x64@0.27.7':
+  '@esbuild/netbsd-x64@0.28.1':
    optional: true

-  '@esbuild/openbsd-arm64@0.27.7':
+  '@esbuild/openbsd-arm64@0.28.1':
    optional: true

-  '@esbuild/openbsd-x64@0.27.7':
+  '@esbuild/openbsd-x64@0.28.1':
    optional: true

-  '@esbuild/openharmony-arm64@0.27.7':
+  '@esbuild/openharmony-arm64@0.28.1':
    optional: true

-  '@esbuild/sunos-x64@0.27.7':
+  '@esbuild/sunos-x64@0.28.1':
    optional: true

-  '@esbuild/win32-arm64@0.27.7':
+  '@esbuild/win32-arm64@0.28.1':
    optional: true

-  '@esbuild/win32-ia32@0.27.7':
+  '@esbuild/win32-ia32@0.28.1':
    optional: true

-  '@esbuild/win32-x64@0.27.7':
+  '@esbuild/win32-x64@0.28.1':
    optional: true

  '@google/genai@1.52.0':
@@ -3478,13 +3523,13 @@ snapshots:
      chai: 6.2.2
      tinyrainbow: 3.1.0

-  '@vitest/mocker@4.1.8(vite@8.0.16(@types/node@25.9.2)(esbuild@0.27.7)(jiti@2.7.0)(yaml@2.9.0))':
+  '@vitest/mocker@4.1.8(vite@8.0.16(@types/node@25.9.2)(esbuild@0.28.1)(jiti@2.7.0)(yaml@2.9.0))':
    dependencies:
      '@vitest/spy': 4.1.8
      estree-walker: 3.0.3
      magic-string: 0.30.21
    optionalDependencies:
-      vite: 8.0.16(@types/node@25.9.2)(esbuild@0.27.7)(jiti@2.7.0)(yaml@2.9.0)
+      vite: 8.0.16(@types/node@25.9.2)(esbuild@0.28.1)(jiti@2.7.0)(yaml@2.9.0)

  '@vitest/pretty-format@4.1.8':
    dependencies:
@@ -3597,6 +3642,8 @@ snapshots:

  buffer-equal-constant-time@1.0.1: {}

+  buffer-writer@2.0.0: {}
+
  buffer@5.7.1:
    dependencies:
      base64-js: 1.5.1
@@ -3606,9 +3653,9 @@ snapshots:
    dependencies:
      run-applescript: 7.1.0

-  bundle-require@5.1.0(esbuild@0.27.7):
+  bundle-require@5.1.0(esbuild@0.28.1):
    dependencies:
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      load-tsconfig: 0.2.5

  cac@6.7.14: {}
@@ -3752,34 +3799,34 @@ snapshots:
      has-tostringtag: 1.0.2
      hasown: 2.0.4

-  esbuild@0.27.7:
+  esbuild@0.28.1:
    optionalDependencies:
-      '@esbuild/aix-ppc64': 0.27.7
-      '@esbuild/android-arm': 0.27.7
-      '@esbuild/android-arm64': 0.27.7
-      '@esbuild/android-x64': 0.27.7
-      '@esbuild/darwin-arm64': 0.27.7
-      '@esbuild/darwin-x64': 0.27.7
-      '@esbuild/freebsd-arm64': 0.27.7
-      '@esbuild/freebsd-x64': 0.27.7
-      '@esbuild/linux-arm': 0.27.7
-      '@esbuild/linux-arm64': 0.27.7
-      '@esbuild/linux-ia32': 0.27.7
-      '@esbuild/linux-loong64': 0.27.7
-      '@esbuild/linux-mips64el': 0.27.7
-      '@esbuild/linux-ppc64': 0.27.7
-      '@esbuild/linux-riscv64': 0.27.7
-      '@esbuild/linux-s390x': 0.27.7
-      '@esbuild/linux-x64': 0.27.7
-      '@esbuild/netbsd-arm64': 0.27.7
-      '@esbuild/netbsd-x64': 0.27.7
-      '@esbuild/openbsd-arm64': 0.27.7
-      '@esbuild/openbsd-x64': 0.27.7
-      '@esbuild/openharmony-arm64': 0.27.7
-      '@esbuild/sunos-x64': 0.27.7
-      '@esbuild/win32-arm64': 0.27.7
-      '@esbuild/win32-ia32': 0.27.7
-      '@esbuild/win32-x64': 0.27.7
+      '@esbuild/aix-ppc64': 0.28.1
+      '@esbuild/android-arm': 0.28.1
+      '@esbuild/android-arm64': 0.28.1
+      '@esbuild/android-x64': 0.28.1
+      '@esbuild/darwin-arm64': 0.28.1
+      '@esbuild/darwin-x64': 0.28.1
+      '@esbuild/freebsd-arm64': 0.28.1
+      '@esbuild/freebsd-x64': 0.28.1
+      '@esbuild/linux-arm': 0.28.1
+      '@esbuild/linux-arm64': 0.28.1
+      '@esbuild/linux-ia32': 0.28.1
+      '@esbuild/linux-loong64': 0.28.1
+      '@esbuild/linux-mips64el': 0.28.1
+      '@esbuild/linux-ppc64': 0.28.1
+      '@esbuild/linux-riscv64': 0.28.1
+      '@esbuild/linux-s390x': 0.28.1
+      '@esbuild/linux-x64': 0.28.1
+      '@esbuild/netbsd-arm64': 0.28.1
+      '@esbuild/netbsd-x64': 0.28.1
+      '@esbuild/openbsd-arm64': 0.28.1
+      '@esbuild/openbsd-x64': 0.28.1
+      '@esbuild/openharmony-arm64': 0.28.1
+      '@esbuild/sunos-x64': 0.28.1
+      '@esbuild/win32-arm64': 0.28.1
+      '@esbuild/win32-ia32': 0.28.1
+      '@esbuild/win32-x64': 0.28.1

  escape-string-regexp@2.0.0: {}

@@ -4190,7 +4237,7 @@ snapshots:
      crypt: 0.0.2
      is-buffer: 1.1.6

-  mem0ai@3.0.7(@anthropic-ai/sdk@0.91.1(zod@3.25.76))(@azure/identity@4.13.1)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260610.1)(@google/genai@1.52.0)(@langchain/core@1.1.48(openai@6.26.0(ws@8.21.0)(zod@3.25.76))(ws@8.21.0))(@mistralai/mistralai@2.2.1)(@qdrant/js-client-rest@1.18.0(typescript@6.0.3))(@supabase/supabase-js@2.108.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.10.0)(cloudflare@4.5.0)(compromise@14.15.1)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.21.0)(redis@5.12.1)(ws@8.21.0):
+  mem0ai@3.0.7(@anthropic-ai/sdk@0.91.1(zod@3.25.76))(@azure/identity@4.13.1)(@azure/search-documents@12.2.0)(@cloudflare/workers-types@4.20260610.1)(@google/genai@1.52.0)(@langchain/core@1.1.48(openai@6.26.0(ws@8.21.0)(zod@3.25.76))(ws@8.21.0))(@mistralai/mistralai@2.2.1)(@qdrant/js-client-rest@1.18.0(typescript@6.0.3))(@supabase/supabase-js@2.108.1)(@types/jest@29.5.14)(@types/pg@8.11.0)(better-sqlite3@12.10.0)(cloudflare@4.5.0)(compromise@14.15.1)(groq-sdk@0.3.0)(natural@8.1.1)(ollama@0.5.18)(pg@8.11.3)(redis@5.12.1)(ws@8.21.0):
    dependencies:
      '@anthropic-ai/sdk': 0.91.1(zod@3.25.76)
      '@azure/identity': 4.13.1
@@ -4211,7 +4258,7 @@ snapshots:
      natural: 8.1.1
      ollama: 0.5.18
      openai: 4.104.0(ws@8.21.0)(zod@3.25.76)
-      pg: 8.21.0
+      pg: 8.11.3
      redis: 5.12.1
      uuid: 14.0.0
      zod: 3.25.76
@@ -4402,6 +4449,8 @@ snapshots:
    dependencies:
      p-finally: 1.0.0

+  packet-reader@1.0.0: {}
+
  partial-json@0.1.7: {}

  path-expression-matcher@1.5.0: {}
@@ -4424,6 +4473,10 @@ snapshots:

  pg-numeric@1.0.2: {}

+  pg-pool@3.14.0(pg@8.11.3):
+    dependencies:
+      pg: 8.11.3
+
  pg-pool@3.14.0(pg@8.21.0):
    dependencies:
      pg: 8.21.0
@@ -4448,6 +4501,18 @@ snapshots:
      postgres-interval: 3.0.0
      postgres-range: 1.1.4

+  pg@8.11.3:
+    dependencies:
+      buffer-writer: 2.0.0
+      packet-reader: 1.0.0
+      pg-connection-string: 2.13.0
+      pg-pool: 3.14.0(pg@8.11.3)
+      pg-protocol: 1.14.0
+      pg-types: 2.2.0
+      pgpass: 1.0.5
+    optionalDependencies:
+      pg-cloudflare: 1.4.0
+
  pg@8.21.0:
    dependencies:
      pg-connection-string: 2.13.0
@@ -4783,12 +4848,12 @@ snapshots:

  tsup@8.5.1(jiti@2.7.0)(postcss@8.5.15)(typescript@6.0.3)(yaml@2.9.0):
    dependencies:
-      bundle-require: 5.1.0(esbuild@0.27.7)
+      bundle-require: 5.1.0(esbuild@0.28.1)
      cac: 6.7.14
      chokidar: 4.0.3
      consola: 3.4.2
      debug: 4.4.3
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      fix-dts-default-cjs-exports: 1.0.1
      joycon: 3.1.1
      picocolors: 1.1.1
@@ -4837,7 +4902,7 @@ snapshots:

  uuid@14.0.0: {}

-  vite@8.0.16(@types/node@25.9.2)(esbuild@0.27.7)(jiti@2.7.0)(yaml@2.9.0):
+  vite@8.0.16(@types/node@25.9.2)(esbuild@0.28.1)(jiti@2.7.0)(yaml@2.9.0):
    dependencies:
      lightningcss: 1.32.0
      picomatch: 4.0.4
@@ -4846,15 +4911,15 @@ snapshots:
      tinyglobby: 0.2.17
    optionalDependencies:
      '@types/node': 25.9.2
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      fsevents: 2.3.3
      jiti: 2.7.0
      yaml: 2.9.0

-  vitest@4.1.8(@types/node@25.9.2)(vite@8.0.16(@types/node@25.9.2)(esbuild@0.27.7)(jiti@2.7.0)(yaml@2.9.0)):
+  vitest@4.1.8(@types/node@25.9.2)(vite@8.0.16(@types/node@25.9.2)(esbuild@0.28.1)(jiti@2.7.0)(yaml@2.9.0)):
    dependencies:
      '@vitest/expect': 4.1.8
-      '@vitest/mocker': 4.1.8(vite@8.0.16(@types/node@25.9.2)(esbuild@0.27.7)(jiti@2.7.0)(yaml@2.9.0))
+      '@vitest/mocker': 4.1.8(vite@8.0.16(@types/node@25.9.2)(esbuild@0.28.1)(jiti@2.7.0)(yaml@2.9.0))
      '@vitest/pretty-format': 4.1.8
      '@vitest/runner': 4.1.8
      '@vitest/snapshot': 4.1.8
@@ -4871,7 +4936,7 @@ snapshots:
      tinyexec: 1.2.4
      tinyglobby: 0.2.17
      tinyrainbow: 3.1.0
-      vite: 8.0.16(@types/node@25.9.2)(esbuild@0.27.7)(jiti@2.7.0)(yaml@2.9.0)
+      vite: 8.0.16(@types/node@25.9.2)(esbuild@0.28.1)(jiti@2.7.0)(yaml@2.9.0)
      why-is-node-running: 2.3.0
    optionalDependencies:
      '@types/node': 25.9.2
@@ -3,3 +3,4 @@ packages:

 overrides:
  "uuid@<11.1.1": ">=11.1.1"
+  "esbuild": ">=0.28.1"
@@ -0,0 +1,56 @@
+import { afterEach, beforeEach, describe, expect, it } from "vitest";
+import {
+  _getEventQueue,
+  _resetForTesting,
+  captureCommandEvent,
+  captureEvent,
+  captureToolEvent,
+} from "./telemetry.ts";
+
+const CTX = { apiKey: "m0-testkey123" };
+
+function findEvent(name: string): Record<string, unknown> | undefined {
+  return _getEventQueue().find((e) => (e as Record<string, unknown>).event === name) as
+    | Record<string, unknown>
+    | undefined;
+}
+
+beforeEach(() => {
+  delete process.env.MEM0_TELEMETRY;
+  _resetForTesting();
+});
+
+afterEach(() => {
+  delete process.env.MEM0_TELEMETRY;
+  _resetForTesting();
+});
+
+describe("pi-agent telemetry", () => {
+  it.each(["add", "search", "update", "delete"])(
+    "captureToolEvent tracks the %s operation as pi.tool.mem0_memory",
+    (action) => {
+      captureToolEvent(action, { success: true }, CTX);
+      const ev = findEvent("pi.tool.mem0_memory");
+      expect(ev).toBeDefined();
+      const props = ev!.properties as Record<string, unknown>;
+      expect(props.action).toBe(action);
+      expect(props.success).toBe(true);
+      expect(props.source).toBe("PI_AGENT_PLUGIN");
+      expect(props.$process_person_profile).toBe(false);
+    },
+  );
+
+  it("captureCommandEvent emits a namespaced pi.command.* event", () => {
+    captureCommandEvent("mem0-search", { result_count: 3 }, CTX);
+    const ev = findEvent("pi.command.mem0-search");
+    expect(ev).toBeDefined();
+    expect((ev!.properties as Record<string, unknown>).result_count).toBe(3);
+  });
+
+  it("respects the MEM0_TELEMETRY opt-out", () => {
+    process.env.MEM0_TELEMETRY = "false";
+    captureEvent("pi.session.start", {}, CTX);
+    captureToolEvent("add", {}, CTX);
+    expect(_getEventQueue()).toHaveLength(0);
+  });
+});
@@ -84,7 +84,8 @@
      "minimatch@>=5.0.0 <5.1.8": "^5.1.8",
      "minimatch@>=9.0.0 <9.0.7": "^9.0.7",
      "picomatch@<2.3.2": "^2.3.2",
-      "rollup@>=4.0.0 <4.59.0": "^4.59.0"
+      "rollup@>=4.0.0 <4.59.0": "^4.59.0",
+      "esbuild": ">=0.28.1"
    }
  }
 }
@@ -11,6 +11,7 @@ overrides:
  minimatch@>=9.0.0 <9.0.7: ^9.0.7
  picomatch@<2.3.2: ^2.3.2
  rollup@>=4.0.0 <4.59.0: ^4.59.0
+  esbuild: '>=0.28.1'

 importers:

@@ -67,7 +68,7 @@ importers:
        version: 3.1.14
      ts-jest:
        specifier: ^29.4.11
-        version: 29.4.11(@babel/core@7.29.7)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.29.7))(esbuild@0.27.7)(jest-util@29.7.0)(jest@29.7.0(@types/node@18.19.130)(ts-node@10.9.2(@types/node@18.19.130)(typescript@5.9.3)))(typescript@5.9.3)
+        version: 29.4.11(@babel/core@7.29.7)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.29.7))(esbuild@0.28.1)(jest-util@29.7.0)(jest@29.7.0(@types/node@18.19.130)(ts-node@10.9.2(@types/node@18.19.130)(typescript@5.9.3)))(typescript@5.9.3)
      ts-node:
        specifier: ^10.9.2
        version: 10.9.2(@types/node@18.19.130)(typescript@5.9.3)
@@ -303,158 +304,158 @@ packages:
    resolution: {integrity: sha512-0dEVyRLM/lG4gp1R/Ik5bfPl/1wX00xFwd5KcNH602tzBa09oF7pbTKETEhR1GjZ75K6OJnYFu8II2dyMhONMw==}
    engines: {node: '>=16'}

-  '@esbuild/aix-ppc64@0.27.7':
-    resolution: {integrity: sha512-EKX3Qwmhz1eMdEJokhALr0YiD0lhQNwDqkPYyPhiSwKrh7/4KRjQc04sZ8db+5DVVnZ1LmbNDI1uAMPEUBnQPg==}
+  '@esbuild/aix-ppc64@0.28.1':
+    resolution: {integrity: sha512-Svl7tq8k/08+p6CXPpRjQ1fKX+1odH/BQbb48fV6fj3CWHhsoIOoY87w1oHXm0qEpkIK3ZfVgp0hed3XBXzXMQ==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [aix]

-  '@esbuild/android-arm64@0.27.7':
-    resolution: {integrity: sha512-62dPZHpIXzvChfvfLJow3q5dDtiNMkwiRzPylSCfriLvZeq0a1bWChrGx/BbUbPwOrsWKMn8idSllklzBy+dgQ==}
+  '@esbuild/android-arm64@0.28.1':
+    resolution: {integrity: sha512-34EGEbCIAgosYz6goLcopX6Mo7NyGv9tfwEM2/7Ce2VcVRk568iSvniGWcUXIy7wEDR1wzolcxcriFVrWYcwBg==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [android]

-  '@esbuild/android-arm@0.27.7':
-    resolution: {integrity: sha512-jbPXvB4Yj2yBV7HUfE2KHe4GJX51QplCN1pGbYjvsyCZbQmies29EoJbkEc+vYuU5o45AfQn37vZlyXy4YJ8RQ==}
+  '@esbuild/android-arm@0.28.1':
+    resolution: {integrity: sha512-0k2F129Xdio1TdJfzJ8sy1Q47vUD2NnwdhiAf7drUN1EBTfPf4hsFCtmMgu/6m8JSzsBrlmVjudMBQqOfG8usQ==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [android]

-  '@esbuild/android-x64@0.27.7':
-    resolution: {integrity: sha512-x5VpMODneVDb70PYV2VQOmIUUiBtY3D3mPBG8NxVk5CogneYhkR7MmM3yR/uMdITLrC1ml/NV1rj4bMJuy9MCg==}
+  '@esbuild/android-x64@0.28.1':
+    resolution: {integrity: sha512-dbwY7ltSMDWsRatcRpCnES4F+im88OCUgGZjy52shC7GqHRE/cYlxNbB4Z4UpJswpcc4Qxd2oE/ufM0p61IKng==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [android]

-  '@esbuild/darwin-arm64@0.27.7':
-    resolution: {integrity: sha512-5lckdqeuBPlKUwvoCXIgI2D9/ABmPq3Rdp7IfL70393YgaASt7tbju3Ac+ePVi3KDH6N2RqePfHnXkaDtY9fkw==}
+  '@esbuild/darwin-arm64@0.28.1':
+    resolution: {integrity: sha512-TZbWkQY7kvTAXbXUT7uVACR5cMHsDiSz9z7ZKAX/RTq/WJEk3QyRr0wZpNhBDX+/0CtdqUIJlOiodQcta6tY3Q==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [darwin]

-  '@esbuild/darwin-x64@0.27.7':
-    resolution: {integrity: sha512-rYnXrKcXuT7Z+WL5K980jVFdvVKhCHhUwid+dDYQpH+qu+TefcomiMAJpIiC2EM3Rjtq0sO3StMV/+3w3MyyqQ==}
+  '@esbuild/darwin-x64@0.28.1':
+    resolution: {integrity: sha512-zfdzgK9ACBNZLI/CyHTOx81SyNbM6YXn7rxSgX97VjyiPl9W1i4Ka4fgKECEoFCKGpvBj5qArWIGgQjOwkgskQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [darwin]

-  '@esbuild/freebsd-arm64@0.27.7':
-    resolution: {integrity: sha512-B48PqeCsEgOtzME2GbNM2roU29AMTuOIN91dsMO30t+Ydis3z/3Ngoj5hhnsOSSwNzS+6JppqWsuhTp6E82l2w==}
+  '@esbuild/freebsd-arm64@0.28.1':
+    resolution: {integrity: sha512-wG2EA8ENdEI0qhkSZMjfqrdY+ziCYCPMmtZjjIwOmXFjmyzEHn+UUxk5of+SYsjtfs3VpnlC7QLzSI5hY/rOAw==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [freebsd]

-  '@esbuild/freebsd-x64@0.27.7':
-    resolution: {integrity: sha512-jOBDK5XEjA4m5IJK3bpAQF9/Lelu/Z9ZcdhTRLf4cajlB+8VEhFFRjWgfy3M1O4rO2GQ/b2dLwCUGpiF/eATNQ==}
+  '@esbuild/freebsd-x64@0.28.1':
+    resolution: {integrity: sha512-i7dZ9vQgnvSCzi/rYCXNgtF/U+eKZNJBzu3eTQbRgHnM7tNSizLOkRFAl3qzVc/Op/u5YkHHa4pf/3DOYHthLQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [freebsd]

-  '@esbuild/linux-arm64@0.27.7':
-    resolution: {integrity: sha512-RZPHBoxXuNnPQO9rvjh5jdkRmVizktkT7TCDkDmQ0W2SwHInKCAV95GRuvdSvA7w4VMwfCjUiPwDi0ZO6Nfe9A==}
+  '@esbuild/linux-arm64@0.28.1':
+    resolution: {integrity: sha512-yHs+0uc8+nvEAfAfxrWQKK5peSNzBc4PegcMO0EJ2hT71uA7vB8Ihg2e77R2P7SG5uYjPbHlLLmve4LLLRCf0g==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [linux]

-  '@esbuild/linux-arm@0.27.7':
-    resolution: {integrity: sha512-RkT/YXYBTSULo3+af8Ib0ykH8u2MBh57o7q/DAs3lTJlyVQkgQvlrPTnjIzzRPQyavxtPtfg0EopvDyIt0j1rA==}
+  '@esbuild/linux-arm@0.28.1':
+    resolution: {integrity: sha512-qVXBOHQS+d5Y722GwJzJUtOLlX7km3CraOaGormF1pDtPd2C/l1SHRPgjLunLGe51Sh5YYWKMFDyV4SxgMQYTQ==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [linux]

-  '@esbuild/linux-ia32@0.27.7':
-    resolution: {integrity: sha512-GA48aKNkyQDbd3KtkplYWT102C5sn/EZTY4XROkxONgruHPU72l+gW+FfF8tf2cFjeHaRbWpOYa/uRBz/Xq1Pg==}
+  '@esbuild/linux-ia32@0.28.1':
+    resolution: {integrity: sha512-d1z4ZuP0ajrfz/FhGT4vv278rX8KnPPJx8i5+AtK7TYbx9Le9F1hyzurZpkEyjkGa9dUGhQow4C1NmeGvqxN2w==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [linux]

-  '@esbuild/linux-loong64@0.27.7':
-    resolution: {integrity: sha512-a4POruNM2oWsD4WKvBSEKGIiWQF8fZOAsycHOt6JBpZ+JN2n2JH9WAv56SOyu9X5IqAjqSIPTaJkqN8F7XOQ5Q==}
+  '@esbuild/linux-loong64@0.28.1':
+    resolution: {integrity: sha512-M5sRjUVZrkm1OAPR3dlOYzNmN+loZKGVi1VUQGrwuqLcbR6qeAz+famMhjASeH3YVKvZz+zT1jlh/keC3Rj/lg==}
    engines: {node: '>=18'}
    cpu: [loong64]
    os: [linux]

-  '@esbuild/linux-mips64el@0.27.7':
-    resolution: {integrity: sha512-KabT5I6StirGfIz0FMgl1I+R1H73Gp0ofL9A3nG3i/cYFJzKHhouBV5VWK1CSgKvVaG4q1RNpCTR2LuTVB3fIw==}
+  '@esbuild/linux-mips64el@0.28.1':
+    resolution: {integrity: sha512-mRObBZeHh2OxcBFPWE/FjylkRgZdYuiTR3vaTozquCGOH14iP9oN4x4Ge81CoIDYQrXmIxpFumJBu5MtZpnQJQ==}
    engines: {node: '>=18'}
    cpu: [mips64el]
    os: [linux]

-  '@esbuild/linux-ppc64@0.27.7':
-    resolution: {integrity: sha512-gRsL4x6wsGHGRqhtI+ifpN/vpOFTQtnbsupUF5R5YTAg+y/lKelYR1hXbnBdzDjGbMYjVJLJTd2OFmMewAgwlQ==}
+  '@esbuild/linux-ppc64@0.28.1':
+    resolution: {integrity: sha512-slScBsMAb3GFDcdrCgLwZtPYRoH2H/youv10QiZyRjmsP48fznoveWytSgCI/R0ZcUgpc0ZhIUEx6LHts8yrfQ==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [linux]

-  '@esbuild/linux-riscv64@0.27.7':
-    resolution: {integrity: sha512-hL25LbxO1QOngGzu2U5xeXtxXcW+/GvMN3ejANqXkxZ/opySAZMrc+9LY/WyjAan41unrR3YrmtTsUpwT66InQ==}
+  '@esbuild/linux-riscv64@0.28.1':
+    resolution: {integrity: sha512-kw0owk1o0GFETUJyW0jc0G4Yzs0BHZn0JDZ8JRT088vjJYX777BAs1fDGxAC+q831qOs2DTC96mNsG2opdfyyQ==}
    engines: {node: '>=18'}
    cpu: [riscv64]
    os: [linux]

-  '@esbuild/linux-s390x@0.27.7':
-    resolution: {integrity: sha512-2k8go8Ycu1Kb46vEelhu1vqEP+UeRVj2zY1pSuPdgvbd5ykAw82Lrro28vXUrRmzEsUV0NzCf54yARIK8r0fdw==}
+  '@esbuild/linux-s390x@0.28.1':
+    resolution: {integrity: sha512-/lAIjX8aYFRByhh6L5rYtPEDRqa9de/4V/juOXcta5frjvzXO4/sqEtyytse0g3zZFuWu5cDN0MkLz2qRDD2Ag==}
    engines: {node: '>=18'}
    cpu: [s390x]
    os: [linux]

-  '@esbuild/linux-x64@0.27.7':
-    resolution: {integrity: sha512-hzznmADPt+OmsYzw1EE33ccA+HPdIqiCRq7cQeL1Jlq2gb1+OyWBkMCrYGBJ+sxVzve2ZJEVeePbLM2iEIZSxA==}
+  '@esbuild/linux-x64@0.28.1':
+    resolution: {integrity: sha512-u/anNYF2mmVOEDwLtnQ1wOr3EZ9sTNGLWrsYGYwHWzGA3Si84IOkHXlbWTD1NB+9/1lcnweYKO54uhxZydNzfA==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [linux]

-  '@esbuild/netbsd-arm64@0.27.7':
-    resolution: {integrity: sha512-b6pqtrQdigZBwZxAn1UpazEisvwaIDvdbMbmrly7cDTMFnw/+3lVxxCTGOrkPVnsYIosJJXAsILG9XcQS+Yu6w==}
+  '@esbuild/netbsd-arm64@0.28.1':
+    resolution: {integrity: sha512-oks0DYbLwWMmaakTsCb+zL4E+aHRVLom9IJZOAthMQEPiQmydXHkziYEsGYRx0uNV/IjEKGAV941JzH02pflqw==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [netbsd]

-  '@esbuild/netbsd-x64@0.27.7':
-    resolution: {integrity: sha512-OfatkLojr6U+WN5EDYuoQhtM+1xco+/6FSzJJnuWiUw5eVcicbyK3dq5EeV/QHT1uy6GoDhGbFpprUiHUYggrw==}
+  '@esbuild/netbsd-x64@0.28.1':
+    resolution: {integrity: sha512-aeL6lAnN89Hz43Mlh1G8ARasbuoYvSITDEx0tHh5b7jJnHcssqgjy9Yx430GDpmCa6OyrKoS0aNRjKundRizGg==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [netbsd]

-  '@esbuild/openbsd-arm64@0.27.7':
-    resolution: {integrity: sha512-AFuojMQTxAz75Fo8idVcqoQWEHIXFRbOc1TrVcFSgCZtQfSdc1RXgB3tjOn/krRHENUB4j00bfGjyl2mJrU37A==}
+  '@esbuild/openbsd-arm64@0.28.1':
+    resolution: {integrity: sha512-MEFJe5C3R8pwXdZ5Y21oo6m7ePiS0d9pWucn99O/wvyJZChoIQKrQDxKrGeW8F5+T0okTHesAmDeiHDTIq0V/Q==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [openbsd]

-  '@esbuild/openbsd-x64@0.27.7':
-    resolution: {integrity: sha512-+A1NJmfM8WNDv5CLVQYJ5PshuRm/4cI6WMZRg1by1GwPIQPCTs1GLEUHwiiQGT5zDdyLiRM/l1G0Pv54gvtKIg==}
+  '@esbuild/openbsd-x64@0.28.1':
+    resolution: {integrity: sha512-i/ZLIOafE0Z8cI/XANJAixoJL/uRAoS2xOA3rb0xN+KK0K177cMAsQYkzHtBrtMXAKuAc7HGgcWiZ/sRC1Nxgw==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [openbsd]

-  '@esbuild/openharmony-arm64@0.27.7':
-    resolution: {integrity: sha512-+KrvYb/C8zA9CU/g0sR6w2RBw7IGc5J2BPnc3dYc5VJxHCSF1yNMxTV5LQ7GuKteQXZtspjFbiuW5/dOj7H4Yw==}
+  '@esbuild/openharmony-arm64@0.28.1':
+    resolution: {integrity: sha512-ge+Z7EXFNt2BO1oAMsVpiQ8EwndV9i1xXerAeTIK7AtPs3bKFXQM7nlRxDSIUIMeueR1CNXxqztLzdNeReKBJg==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [openharmony]

-  '@esbuild/sunos-x64@0.27.7':
-    resolution: {integrity: sha512-ikktIhFBzQNt/QDyOL580ti9+5mL/YZeUPKU2ivGtGjdTYoqz6jObj6nOMfhASpS4GU4Q/Clh1QtxWAvcYKamA==}
+  '@esbuild/sunos-x64@0.28.1':
+    resolution: {integrity: sha512-BEjgtECkL3vY+SaSQ6nzVfiALUeFxpawyp8Jmf5PtYhf1Ug40N1h/hxlhts+f1FvSvarEigdxS3BlSMI2PJLcQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [sunos]

-  '@esbuild/win32-arm64@0.27.7':
-    resolution: {integrity: sha512-7yRhbHvPqSpRUV7Q20VuDwbjW5kIMwTHpptuUzV+AA46kiPze5Z7qgt6CLCK3pWFrHeNfDd1VKgyP4O+ng17CA==}
+  '@esbuild/win32-arm64@0.28.1':
+    resolution: {integrity: sha512-lCv9eK/H6ZJWbE7bh2nw54CZ9M2nupBxJcTsdk/QQnWkdSjKGuxmmH8/GWrlT1eMmZfn4dGcCjRte397WqfQXA==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [win32]

-  '@esbuild/win32-ia32@0.27.7':
-    resolution: {integrity: sha512-SmwKXe6VHIyZYbBLJrhOoCJRB/Z1tckzmgTLfFYOfpMAx63BJEaL9ExI8x7v0oAO3Zh6D/Oi1gVxEYr5oUCFhw==}
+  '@esbuild/win32-ia32@0.28.1':
+    resolution: {integrity: sha512-zvb/mB2bSCoJOpoCBgYKKpX6YM6mJBlBUVUtVj41DlZJVEB6/0CKlRYxP5wWl1C1ILiCoAU5wZZ4q1P3qeS6Eg==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [win32]

-  '@esbuild/win32-x64@0.27.7':
-    resolution: {integrity: sha512-56hiAJPhwQ1R4i+21FVF7V8kSD5zZTdHcVuRFMW0hn753vVfQN8xlx4uOPT4xoGH0Z/oVATuR82AiqSTDIpaHg==}
+  '@esbuild/win32-x64@0.28.1':
+    resolution: {integrity: sha512-bm4Mowrv+GXMlpWX++EcXw/iLyd1o3+bJkC2DkWXYVvgZCqD/bSj9ctZeAMC3cIxgjRVR2Dufaiu4YPxr5gW1A==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [win32]
@@ -866,7 +867,7 @@ packages:
    resolution: {integrity: sha512-3WrrOuZiyaaZPWiEt4G3+IffISVC9HYlWueJEBWED4ZH4aIAC2PnkdnuRrR94M+w6yGWn4AglWtJtBI8YqvgoA==}
    engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
    peerDependencies:
-      esbuild: '>=0.18'
+      esbuild: '>=0.28.1'

  cac@6.7.14:
    resolution: {integrity: sha512-b6Ilus+c3RrdDk+JhLKUAQfzzgLEPy6wcXqS7f/xe1EETvsDP6GORG7SFuOs6cID5YkqchW/LXZbX5bc8j7ZcQ==}
@@ -1011,8 +1012,8 @@ packages:
    resolution: {integrity: sha512-Zf5H2Kxt2xjTvbJvP2ZWLEICxA6j+hAmMzIlypy4xcBg1vKVnx89Wy0GbS+kf5cwCVFFzdCFh2XSCFNULS6csw==}
    engines: {node: '>= 0.4'}

-  esbuild@0.27.7:
-    resolution: {integrity: sha512-IxpibTjyVnmrIQo5aqNpCgoACA/dTKLTlhMHihVHhdkxKyPO1uBBthumT0rdHmcsk9uMonIWS0m4FljWzILh3w==}
+  esbuild@0.28.1:
+    resolution: {integrity: sha512-HrJrvZv5ayxBzPfwphOoNzkzOIIlifzk0KJrGK2c8R4+LKpMtpYLQeUdjnwjWv/LZlkH2laZk+4w78pi99D4Vw==}
    engines: {node: '>=18'}
    hasBin: true

@@ -2142,82 +2143,82 @@ snapshots:
    dependencies:
      '@edge-runtime/primitives': 4.1.0

-  '@esbuild/aix-ppc64@0.27.7':
+  '@esbuild/aix-ppc64@0.28.1':
    optional: true

-  '@esbuild/android-arm64@0.27.7':
+  '@esbuild/android-arm64@0.28.1':
    optional: true

-  '@esbuild/android-arm@0.27.7':
+  '@esbuild/android-arm@0.28.1':
    optional: true

-  '@esbuild/android-x64@0.27.7':
+  '@esbuild/android-x64@0.28.1':
    optional: true

-  '@esbuild/darwin-arm64@0.27.7':
+  '@esbuild/darwin-arm64@0.28.1':
    optional: true

-  '@esbuild/darwin-x64@0.27.7':
+  '@esbuild/darwin-x64@0.28.1':
    optional: true

-  '@esbuild/freebsd-arm64@0.27.7':
+  '@esbuild/freebsd-arm64@0.28.1':
    optional: true

-  '@esbuild/freebsd-x64@0.27.7':
+  '@esbuild/freebsd-x64@0.28.1':
    optional: true

-  '@esbuild/linux-arm64@0.27.7':
+  '@esbuild/linux-arm64@0.28.1':
    optional: true

-  '@esbuild/linux-arm@0.27.7':
+  '@esbuild/linux-arm@0.28.1':
    optional: true

-  '@esbuild/linux-ia32@0.27.7':
+  '@esbuild/linux-ia32@0.28.1':
    optional: true

-  '@esbuild/linux-loong64@0.27.7':
+  '@esbuild/linux-loong64@0.28.1':
    optional: true

-  '@esbuild/linux-mips64el@0.27.7':
+  '@esbuild/linux-mips64el@0.28.1':
    optional: true

-  '@esbuild/linux-ppc64@0.27.7':
+  '@esbuild/linux-ppc64@0.28.1':
    optional: true

-  '@esbuild/linux-riscv64@0.27.7':
+  '@esbuild/linux-riscv64@0.28.1':
    optional: true

-  '@esbuild/linux-s390x@0.27.7':
+  '@esbuild/linux-s390x@0.28.1':
    optional: true

-  '@esbuild/linux-x64@0.27.7':
+  '@esbuild/linux-x64@0.28.1':
    optional: true

-  '@esbuild/netbsd-arm64@0.27.7':
+  '@esbuild/netbsd-arm64@0.28.1':
    optional: true

-  '@esbuild/netbsd-x64@0.27.7':
+  '@esbuild/netbsd-x64@0.28.1':
    optional: true

-  '@esbuild/openbsd-arm64@0.27.7':
+  '@esbuild/openbsd-arm64@0.28.1':
    optional: true

-  '@esbuild/openbsd-x64@0.27.7':
+  '@esbuild/openbsd-x64@0.28.1':
    optional: true

-  '@esbuild/openharmony-arm64@0.27.7':
+  '@esbuild/openharmony-arm64@0.28.1':
    optional: true

-  '@esbuild/sunos-x64@0.27.7':
+  '@esbuild/sunos-x64@0.28.1':
    optional: true

-  '@esbuild/win32-arm64@0.27.7':
+  '@esbuild/win32-arm64@0.28.1':
    optional: true

-  '@esbuild/win32-ia32@0.27.7':
+  '@esbuild/win32-ia32@0.28.1':
    optional: true

-  '@esbuild/win32-x64@0.27.7':
+  '@esbuild/win32-x64@0.28.1':
    optional: true

  '@istanbuljs/load-nyc-config@1.1.0':
@@ -2702,9 +2703,9 @@ snapshots:

  buffer-from@1.1.2: {}

-  bundle-require@5.1.0(esbuild@0.27.7):
+  bundle-require@5.1.0(esbuild@0.28.1):
    dependencies:
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      load-tsconfig: 0.2.5

  cac@6.7.14: {}
@@ -2823,34 +2824,34 @@ snapshots:

  es-errors@1.3.0: {}

-  esbuild@0.27.7:
+  esbuild@0.28.1:
    optionalDependencies:
-      '@esbuild/aix-ppc64': 0.27.7
-      '@esbuild/android-arm': 0.27.7
-      '@esbuild/android-arm64': 0.27.7
-      '@esbuild/android-x64': 0.27.7
-      '@esbuild/darwin-arm64': 0.27.7
-      '@esbuild/darwin-x64': 0.27.7
-      '@esbuild/freebsd-arm64': 0.27.7
-      '@esbuild/freebsd-x64': 0.27.7
-      '@esbuild/linux-arm': 0.27.7
-      '@esbuild/linux-arm64': 0.27.7
-      '@esbuild/linux-ia32': 0.27.7
-      '@esbuild/linux-loong64': 0.27.7
-      '@esbuild/linux-mips64el': 0.27.7
-      '@esbuild/linux-ppc64': 0.27.7
-      '@esbuild/linux-riscv64': 0.27.7
-      '@esbuild/linux-s390x': 0.27.7
-      '@esbuild/linux-x64': 0.27.7
-      '@esbuild/netbsd-arm64': 0.27.7
-      '@esbuild/netbsd-x64': 0.27.7
-      '@esbuild/openbsd-arm64': 0.27.7
-      '@esbuild/openbsd-x64': 0.27.7
-      '@esbuild/openharmony-arm64': 0.27.7
-      '@esbuild/sunos-x64': 0.27.7
-      '@esbuild/win32-arm64': 0.27.7
-      '@esbuild/win32-ia32': 0.27.7
-      '@esbuild/win32-x64': 0.27.7
+      '@esbuild/aix-ppc64': 0.28.1
+      '@esbuild/android-arm': 0.28.1
+      '@esbuild/android-arm64': 0.28.1
+      '@esbuild/android-x64': 0.28.1
+      '@esbuild/darwin-arm64': 0.28.1
+      '@esbuild/darwin-x64': 0.28.1
+      '@esbuild/freebsd-arm64': 0.28.1
+      '@esbuild/freebsd-x64': 0.28.1
+      '@esbuild/linux-arm': 0.28.1
+      '@esbuild/linux-arm64': 0.28.1
+      '@esbuild/linux-ia32': 0.28.1
+      '@esbuild/linux-loong64': 0.28.1
+      '@esbuild/linux-mips64el': 0.28.1
+      '@esbuild/linux-ppc64': 0.28.1
+      '@esbuild/linux-riscv64': 0.28.1
+      '@esbuild/linux-s390x': 0.28.1
+      '@esbuild/linux-x64': 0.28.1
+      '@esbuild/netbsd-arm64': 0.28.1
+      '@esbuild/netbsd-x64': 0.28.1
+      '@esbuild/openbsd-arm64': 0.28.1
+      '@esbuild/openbsd-x64': 0.28.1
+      '@esbuild/openharmony-arm64': 0.28.1
+      '@esbuild/sunos-x64': 0.28.1
+      '@esbuild/win32-arm64': 0.28.1
+      '@esbuild/win32-ia32': 0.28.1
+      '@esbuild/win32-x64': 0.28.1

  escalade@3.2.0: {}

@@ -3711,7 +3712,7 @@ snapshots:

  ts-interface-checker@0.1.13: {}

-  ts-jest@29.4.11(@babel/core@7.29.7)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.29.7))(esbuild@0.27.7)(jest-util@29.7.0)(jest@29.7.0(@types/node@18.19.130)(ts-node@10.9.2(@types/node@18.19.130)(typescript@5.9.3)))(typescript@5.9.3):
+  ts-jest@29.4.11(@babel/core@7.29.7)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.29.7))(esbuild@0.28.1)(jest-util@29.7.0)(jest@29.7.0(@types/node@18.19.130)(ts-node@10.9.2(@types/node@18.19.130)(typescript@5.9.3)))(typescript@5.9.3):
    dependencies:
      bs-logger: 0.2.6
      fast-json-stable-stringify: 2.1.0
@@ -3729,7 +3730,7 @@ snapshots:
      '@jest/transform': 29.7.0
      '@jest/types': 29.6.3
      babel-jest: 29.7.0(@babel/core@7.29.7)
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      jest-util: 29.7.0

  ts-node@10.9.2(@types/node@18.19.130)(typescript@5.9.3):
@@ -3752,12 +3753,12 @@ snapshots:

  tsup@8.5.1(typescript@5.9.3):
    dependencies:
-      bundle-require: 5.1.0(esbuild@0.27.7)
+      bundle-require: 5.1.0(esbuild@0.28.1)
      cac: 6.7.14
      chokidar: 4.0.3
      consola: 3.4.2
      debug: 4.4.3(supports-color@5.5.0)
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      fix-dts-default-cjs-exports: 1.0.1
      joycon: 3.1.1
      picocolors: 1.1.1
@@ -12,3 +12,4 @@ overrides:
  "minimatch@>=9.0.0 <9.0.7": "^9.0.7"
  "picomatch@<2.3.2": "^2.3.2"
  "rollup@>=4.0.0 <4.59.0": "^4.59.0"
+  "esbuild": ">=0.28.1"
@@ -1,6 +1,6 @@
 {
  "name": "mem0ai",
-  "version": "3.0.7",
+  "version": "3.0.8",
  "description": "The Memory Layer For Your AI Apps",
  "main": "./dist/index.js",
  "module": "./dist/index.mjs",
@@ -154,7 +154,8 @@
      "rollup@>=4.0.0 <4.59.0": "^4.59.0",
      "tar-fs@>=2.0.0 <2.1.4": "^2.1.4",
      "glob@>=10.2.0 <10.5.0": "^10.5.0",
-      "@modelcontextprotocol/sdk": "^1.25.4"
+      "@modelcontextprotocol/sdk": "^1.25.4",
+      "esbuild": ">=0.28.1"
    }
  }
 }
@@ -21,6 +21,7 @@ overrides:
  tar-fs@>=2.0.0 <2.1.4: ^2.1.4
  glob@>=10.2.0 <10.5.0: ^10.5.0
  '@modelcontextprotocol/sdk': ^1.25.4
+  esbuild: '>=0.28.1'

 importers:

@@ -125,7 +126,7 @@ importers:
        version: 5.0.10
      ts-jest:
        specifier: ^29.2.6
-        version: 29.4.11(@babel/core@7.29.7)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.29.7))(esbuild@0.27.7)(jest-util@29.7.0)(jest@29.7.0(@types/node@22.19.21)(ts-node@10.9.2(@types/node@22.19.21)(typescript@5.5.4)))(typescript@5.5.4)
+        version: 29.4.11(@babel/core@7.29.7)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.29.7))(esbuild@0.28.1)(jest-util@29.7.0)(jest@29.7.0(@types/node@22.19.21)(ts-node@10.9.2(@types/node@22.19.21)(typescript@5.5.4)))(typescript@5.5.4)
      ts-node:
        specifier: ^10.9.2
        version: 10.9.2(@types/node@22.19.21)(typescript@5.5.4)
@@ -375,158 +376,158 @@ packages:
    resolution: {integrity: sha512-IchNf6dN4tHoMFIn/7OE8LWZ19Y6q/67Bmf6vnGREv8RSbBVb9LPJxEcnwrcwX6ixSvaiGoomAUvu4YSxXrVgw==}
    engines: {node: '>=12'}

-  '@esbuild/aix-ppc64@0.27.7':
-    resolution: {integrity: sha512-EKX3Qwmhz1eMdEJokhALr0YiD0lhQNwDqkPYyPhiSwKrh7/4KRjQc04sZ8db+5DVVnZ1LmbNDI1uAMPEUBnQPg==}
+  '@esbuild/aix-ppc64@0.28.1':
+    resolution: {integrity: sha512-Svl7tq8k/08+p6CXPpRjQ1fKX+1odH/BQbb48fV6fj3CWHhsoIOoY87w1oHXm0qEpkIK3ZfVgp0hed3XBXzXMQ==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [aix]

-  '@esbuild/android-arm64@0.27.7':
-    resolution: {integrity: sha512-62dPZHpIXzvChfvfLJow3q5dDtiNMkwiRzPylSCfriLvZeq0a1bWChrGx/BbUbPwOrsWKMn8idSllklzBy+dgQ==}
+  '@esbuild/android-arm64@0.28.1':
+    resolution: {integrity: sha512-34EGEbCIAgosYz6goLcopX6Mo7NyGv9tfwEM2/7Ce2VcVRk568iSvniGWcUXIy7wEDR1wzolcxcriFVrWYcwBg==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [android]

-  '@esbuild/android-arm@0.27.7':
-    resolution: {integrity: sha512-jbPXvB4Yj2yBV7HUfE2KHe4GJX51QplCN1pGbYjvsyCZbQmies29EoJbkEc+vYuU5o45AfQn37vZlyXy4YJ8RQ==}
+  '@esbuild/android-arm@0.28.1':
+    resolution: {integrity: sha512-0k2F129Xdio1TdJfzJ8sy1Q47vUD2NnwdhiAf7drUN1EBTfPf4hsFCtmMgu/6m8JSzsBrlmVjudMBQqOfG8usQ==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [android]

-  '@esbuild/android-x64@0.27.7':
-    resolution: {integrity: sha512-x5VpMODneVDb70PYV2VQOmIUUiBtY3D3mPBG8NxVk5CogneYhkR7MmM3yR/uMdITLrC1ml/NV1rj4bMJuy9MCg==}
+  '@esbuild/android-x64@0.28.1':
+    resolution: {integrity: sha512-dbwY7ltSMDWsRatcRpCnES4F+im88OCUgGZjy52shC7GqHRE/cYlxNbB4Z4UpJswpcc4Qxd2oE/ufM0p61IKng==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [android]

-  '@esbuild/darwin-arm64@0.27.7':
-    resolution: {integrity: sha512-5lckdqeuBPlKUwvoCXIgI2D9/ABmPq3Rdp7IfL70393YgaASt7tbju3Ac+ePVi3KDH6N2RqePfHnXkaDtY9fkw==}
+  '@esbuild/darwin-arm64@0.28.1':
+    resolution: {integrity: sha512-TZbWkQY7kvTAXbXUT7uVACR5cMHsDiSz9z7ZKAX/RTq/WJEk3QyRr0wZpNhBDX+/0CtdqUIJlOiodQcta6tY3Q==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [darwin]

-  '@esbuild/darwin-x64@0.27.7':
-    resolution: {integrity: sha512-rYnXrKcXuT7Z+WL5K980jVFdvVKhCHhUwid+dDYQpH+qu+TefcomiMAJpIiC2EM3Rjtq0sO3StMV/+3w3MyyqQ==}
+  '@esbuild/darwin-x64@0.28.1':
+    resolution: {integrity: sha512-zfdzgK9ACBNZLI/CyHTOx81SyNbM6YXn7rxSgX97VjyiPl9W1i4Ka4fgKECEoFCKGpvBj5qArWIGgQjOwkgskQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [darwin]

-  '@esbuild/freebsd-arm64@0.27.7':
-    resolution: {integrity: sha512-B48PqeCsEgOtzME2GbNM2roU29AMTuOIN91dsMO30t+Ydis3z/3Ngoj5hhnsOSSwNzS+6JppqWsuhTp6E82l2w==}
+  '@esbuild/freebsd-arm64@0.28.1':
+    resolution: {integrity: sha512-wG2EA8ENdEI0qhkSZMjfqrdY+ziCYCPMmtZjjIwOmXFjmyzEHn+UUxk5of+SYsjtfs3VpnlC7QLzSI5hY/rOAw==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [freebsd]

-  '@esbuild/freebsd-x64@0.27.7':
-    resolution: {integrity: sha512-jOBDK5XEjA4m5IJK3bpAQF9/Lelu/Z9ZcdhTRLf4cajlB+8VEhFFRjWgfy3M1O4rO2GQ/b2dLwCUGpiF/eATNQ==}
+  '@esbuild/freebsd-x64@0.28.1':
+    resolution: {integrity: sha512-i7dZ9vQgnvSCzi/rYCXNgtF/U+eKZNJBzu3eTQbRgHnM7tNSizLOkRFAl3qzVc/Op/u5YkHHa4pf/3DOYHthLQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [freebsd]

-  '@esbuild/linux-arm64@0.27.7':
-    resolution: {integrity: sha512-RZPHBoxXuNnPQO9rvjh5jdkRmVizktkT7TCDkDmQ0W2SwHInKCAV95GRuvdSvA7w4VMwfCjUiPwDi0ZO6Nfe9A==}
+  '@esbuild/linux-arm64@0.28.1':
+    resolution: {integrity: sha512-yHs+0uc8+nvEAfAfxrWQKK5peSNzBc4PegcMO0EJ2hT71uA7vB8Ihg2e77R2P7SG5uYjPbHlLLmve4LLLRCf0g==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [linux]

-  '@esbuild/linux-arm@0.27.7':
-    resolution: {integrity: sha512-RkT/YXYBTSULo3+af8Ib0ykH8u2MBh57o7q/DAs3lTJlyVQkgQvlrPTnjIzzRPQyavxtPtfg0EopvDyIt0j1rA==}
+  '@esbuild/linux-arm@0.28.1':
+    resolution: {integrity: sha512-qVXBOHQS+d5Y722GwJzJUtOLlX7km3CraOaGormF1pDtPd2C/l1SHRPgjLunLGe51Sh5YYWKMFDyV4SxgMQYTQ==}
    engines: {node: '>=18'}
    cpu: [arm]
    os: [linux]

-  '@esbuild/linux-ia32@0.27.7':
-    resolution: {integrity: sha512-GA48aKNkyQDbd3KtkplYWT102C5sn/EZTY4XROkxONgruHPU72l+gW+FfF8tf2cFjeHaRbWpOYa/uRBz/Xq1Pg==}
+  '@esbuild/linux-ia32@0.28.1':
+    resolution: {integrity: sha512-d1z4ZuP0ajrfz/FhGT4vv278rX8KnPPJx8i5+AtK7TYbx9Le9F1hyzurZpkEyjkGa9dUGhQow4C1NmeGvqxN2w==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [linux]

-  '@esbuild/linux-loong64@0.27.7':
-    resolution: {integrity: sha512-a4POruNM2oWsD4WKvBSEKGIiWQF8fZOAsycHOt6JBpZ+JN2n2JH9WAv56SOyu9X5IqAjqSIPTaJkqN8F7XOQ5Q==}
+  '@esbuild/linux-loong64@0.28.1':
+    resolution: {integrity: sha512-M5sRjUVZrkm1OAPR3dlOYzNmN+loZKGVi1VUQGrwuqLcbR6qeAz+famMhjASeH3YVKvZz+zT1jlh/keC3Rj/lg==}
    engines: {node: '>=18'}
    cpu: [loong64]
    os: [linux]

-  '@esbuild/linux-mips64el@0.27.7':
-    resolution: {integrity: sha512-KabT5I6StirGfIz0FMgl1I+R1H73Gp0ofL9A3nG3i/cYFJzKHhouBV5VWK1CSgKvVaG4q1RNpCTR2LuTVB3fIw==}
+  '@esbuild/linux-mips64el@0.28.1':
+    resolution: {integrity: sha512-mRObBZeHh2OxcBFPWE/FjylkRgZdYuiTR3vaTozquCGOH14iP9oN4x4Ge81CoIDYQrXmIxpFumJBu5MtZpnQJQ==}
    engines: {node: '>=18'}
    cpu: [mips64el]
    os: [linux]

-  '@esbuild/linux-ppc64@0.27.7':
-    resolution: {integrity: sha512-gRsL4x6wsGHGRqhtI+ifpN/vpOFTQtnbsupUF5R5YTAg+y/lKelYR1hXbnBdzDjGbMYjVJLJTd2OFmMewAgwlQ==}
+  '@esbuild/linux-ppc64@0.28.1':
+    resolution: {integrity: sha512-slScBsMAb3GFDcdrCgLwZtPYRoH2H/youv10QiZyRjmsP48fznoveWytSgCI/R0ZcUgpc0ZhIUEx6LHts8yrfQ==}
    engines: {node: '>=18'}
    cpu: [ppc64]
    os: [linux]

-  '@esbuild/linux-riscv64@0.27.7':
-    resolution: {integrity: sha512-hL25LbxO1QOngGzu2U5xeXtxXcW+/GvMN3ejANqXkxZ/opySAZMrc+9LY/WyjAan41unrR3YrmtTsUpwT66InQ==}
+  '@esbuild/linux-riscv64@0.28.1':
+    resolution: {integrity: sha512-kw0owk1o0GFETUJyW0jc0G4Yzs0BHZn0JDZ8JRT088vjJYX777BAs1fDGxAC+q831qOs2DTC96mNsG2opdfyyQ==}
    engines: {node: '>=18'}
    cpu: [riscv64]
    os: [linux]

-  '@esbuild/linux-s390x@0.27.7':
-    resolution: {integrity: sha512-2k8go8Ycu1Kb46vEelhu1vqEP+UeRVj2zY1pSuPdgvbd5ykAw82Lrro28vXUrRmzEsUV0NzCf54yARIK8r0fdw==}
+  '@esbuild/linux-s390x@0.28.1':
+    resolution: {integrity: sha512-/lAIjX8aYFRByhh6L5rYtPEDRqa9de/4V/juOXcta5frjvzXO4/sqEtyytse0g3zZFuWu5cDN0MkLz2qRDD2Ag==}
    engines: {node: '>=18'}
    cpu: [s390x]
    os: [linux]

-  '@esbuild/linux-x64@0.27.7':
-    resolution: {integrity: sha512-hzznmADPt+OmsYzw1EE33ccA+HPdIqiCRq7cQeL1Jlq2gb1+OyWBkMCrYGBJ+sxVzve2ZJEVeePbLM2iEIZSxA==}
+  '@esbuild/linux-x64@0.28.1':
+    resolution: {integrity: sha512-u/anNYF2mmVOEDwLtnQ1wOr3EZ9sTNGLWrsYGYwHWzGA3Si84IOkHXlbWTD1NB+9/1lcnweYKO54uhxZydNzfA==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [linux]

-  '@esbuild/netbsd-arm64@0.27.7':
-    resolution: {integrity: sha512-b6pqtrQdigZBwZxAn1UpazEisvwaIDvdbMbmrly7cDTMFnw/+3lVxxCTGOrkPVnsYIosJJXAsILG9XcQS+Yu6w==}
+  '@esbuild/netbsd-arm64@0.28.1':
+    resolution: {integrity: sha512-oks0DYbLwWMmaakTsCb+zL4E+aHRVLom9IJZOAthMQEPiQmydXHkziYEsGYRx0uNV/IjEKGAV941JzH02pflqw==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [netbsd]

-  '@esbuild/netbsd-x64@0.27.7':
-    resolution: {integrity: sha512-OfatkLojr6U+WN5EDYuoQhtM+1xco+/6FSzJJnuWiUw5eVcicbyK3dq5EeV/QHT1uy6GoDhGbFpprUiHUYggrw==}
+  '@esbuild/netbsd-x64@0.28.1':
+    resolution: {integrity: sha512-aeL6lAnN89Hz43Mlh1G8ARasbuoYvSITDEx0tHh5b7jJnHcssqgjy9Yx430GDpmCa6OyrKoS0aNRjKundRizGg==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [netbsd]

-  '@esbuild/openbsd-arm64@0.27.7':
-    resolution: {integrity: sha512-AFuojMQTxAz75Fo8idVcqoQWEHIXFRbOc1TrVcFSgCZtQfSdc1RXgB3tjOn/krRHENUB4j00bfGjyl2mJrU37A==}
+  '@esbuild/openbsd-arm64@0.28.1':
+    resolution: {integrity: sha512-MEFJe5C3R8pwXdZ5Y21oo6m7ePiS0d9pWucn99O/wvyJZChoIQKrQDxKrGeW8F5+T0okTHesAmDeiHDTIq0V/Q==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [openbsd]

-  '@esbuild/openbsd-x64@0.27.7':
-    resolution: {integrity: sha512-+A1NJmfM8WNDv5CLVQYJ5PshuRm/4cI6WMZRg1by1GwPIQPCTs1GLEUHwiiQGT5zDdyLiRM/l1G0Pv54gvtKIg==}
+  '@esbuild/openbsd-x64@0.28.1':
+    resolution: {integrity: sha512-i/ZLIOafE0Z8cI/XANJAixoJL/uRAoS2xOA3rb0xN+KK0K177cMAsQYkzHtBrtMXAKuAc7HGgcWiZ/sRC1Nxgw==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [openbsd]

-  '@esbuild/openharmony-arm64@0.27.7':
-    resolution: {integrity: sha512-+KrvYb/C8zA9CU/g0sR6w2RBw7IGc5J2BPnc3dYc5VJxHCSF1yNMxTV5LQ7GuKteQXZtspjFbiuW5/dOj7H4Yw==}
+  '@esbuild/openharmony-arm64@0.28.1':
+    resolution: {integrity: sha512-ge+Z7EXFNt2BO1oAMsVpiQ8EwndV9i1xXerAeTIK7AtPs3bKFXQM7nlRxDSIUIMeueR1CNXxqztLzdNeReKBJg==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [openharmony]

-  '@esbuild/sunos-x64@0.27.7':
-    resolution: {integrity: sha512-ikktIhFBzQNt/QDyOL580ti9+5mL/YZeUPKU2ivGtGjdTYoqz6jObj6nOMfhASpS4GU4Q/Clh1QtxWAvcYKamA==}
+  '@esbuild/sunos-x64@0.28.1':
+    resolution: {integrity: sha512-BEjgtECkL3vY+SaSQ6nzVfiALUeFxpawyp8Jmf5PtYhf1Ug40N1h/hxlhts+f1FvSvarEigdxS3BlSMI2PJLcQ==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [sunos]

-  '@esbuild/win32-arm64@0.27.7':
-    resolution: {integrity: sha512-7yRhbHvPqSpRUV7Q20VuDwbjW5kIMwTHpptuUzV+AA46kiPze5Z7qgt6CLCK3pWFrHeNfDd1VKgyP4O+ng17CA==}
+  '@esbuild/win32-arm64@0.28.1':
+    resolution: {integrity: sha512-lCv9eK/H6ZJWbE7bh2nw54CZ9M2nupBxJcTsdk/QQnWkdSjKGuxmmH8/GWrlT1eMmZfn4dGcCjRte397WqfQXA==}
    engines: {node: '>=18'}
    cpu: [arm64]
    os: [win32]

-  '@esbuild/win32-ia32@0.27.7':
-    resolution: {integrity: sha512-SmwKXe6VHIyZYbBLJrhOoCJRB/Z1tckzmgTLfFYOfpMAx63BJEaL9ExI8x7v0oAO3Zh6D/Oi1gVxEYr5oUCFhw==}
+  '@esbuild/win32-ia32@0.28.1':
+    resolution: {integrity: sha512-zvb/mB2bSCoJOpoCBgYKKpX6YM6mJBlBUVUtVj41DlZJVEB6/0CKlRYxP5wWl1C1ILiCoAU5wZZ4q1P3qeS6Eg==}
    engines: {node: '>=18'}
    cpu: [ia32]
    os: [win32]

-  '@esbuild/win32-x64@0.27.7':
-    resolution: {integrity: sha512-56hiAJPhwQ1R4i+21FVF7V8kSD5zZTdHcVuRFMW0hn753vVfQN8xlx4uOPT4xoGH0Z/oVATuR82AiqSTDIpaHg==}
+  '@esbuild/win32-x64@0.28.1':
+    resolution: {integrity: sha512-bm4Mowrv+GXMlpWX++EcXw/iLyd1o3+bJkC2DkWXYVvgZCqD/bSj9ctZeAMC3cIxgjRVR2Dufaiu4YPxr5gW1A==}
    engines: {node: '>=18'}
    cpu: [x64]
    os: [win32]
@@ -1206,7 +1207,7 @@ packages:
    resolution: {integrity: sha512-3WrrOuZiyaaZPWiEt4G3+IffISVC9HYlWueJEBWED4ZH4aIAC2PnkdnuRrR94M+w6yGWn4AglWtJtBI8YqvgoA==}
    engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
    peerDependencies:
-      esbuild: '>=0.18'
+      esbuild: '>=0.28.1'

  cac@6.7.14:
    resolution: {integrity: sha512-b6Ilus+c3RrdDk+JhLKUAQfzzgLEPy6wcXqS7f/xe1EETvsDP6GORG7SFuOs6cID5YkqchW/LXZbX5bc8j7ZcQ==}
@@ -1450,8 +1451,8 @@ packages:
    resolution: {integrity: sha512-j6vWzfrGVfyXxge+O0x5sh6cvxAog0a/4Rdd2K36zCMV5eJ+/+tOAngRO8cODMNWbVRdVlmGZQL2YS3yR8bIUA==}
    engines: {node: '>= 0.4'}

-  esbuild@0.27.7:
-    resolution: {integrity: sha512-IxpibTjyVnmrIQo5aqNpCgoACA/dTKLTlhMHihVHhdkxKyPO1uBBthumT0rdHmcsk9uMonIWS0m4FljWzILh3w==}
+  esbuild@0.28.1:
+    resolution: {integrity: sha512-HrJrvZv5ayxBzPfwphOoNzkzOIIlifzk0KJrGK2c8R4+LKpMtpYLQeUdjnwjWv/LZlkH2laZk+4w78pi99D4Vw==}
    engines: {node: '>=18'}
    hasBin: true

@@ -3381,82 +3382,82 @@ snapshots:
    dependencies:
      '@jridgewell/trace-mapping': 0.3.9

-  '@esbuild/aix-ppc64@0.27.7':
+  '@esbuild/aix-ppc64@0.28.1':
    optional: true

-  '@esbuild/android-arm64@0.27.7':
+  '@esbuild/android-arm64@0.28.1':
    optional: true

-  '@esbuild/android-arm@0.27.7':
+  '@esbuild/android-arm@0.28.1':
    optional: true

-  '@esbuild/android-x64@0.27.7':
+  '@esbuild/android-x64@0.28.1':
    optional: true

-  '@esbuild/darwin-arm64@0.27.7':
+  '@esbuild/darwin-arm64@0.28.1':
    optional: true

-  '@esbuild/darwin-x64@0.27.7':
+  '@esbuild/darwin-x64@0.28.1':
    optional: true

-  '@esbuild/freebsd-arm64@0.27.7':
+  '@esbuild/freebsd-arm64@0.28.1':
    optional: true

-  '@esbuild/freebsd-x64@0.27.7':
+  '@esbuild/freebsd-x64@0.28.1':
    optional: true

-  '@esbuild/linux-arm64@0.27.7':
+  '@esbuild/linux-arm64@0.28.1':
    optional: true

-  '@esbuild/linux-arm@0.27.7':
+  '@esbuild/linux-arm@0.28.1':
    optional: true

-  '@esbuild/linux-ia32@0.27.7':
+  '@esbuild/linux-ia32@0.28.1':
    optional: true

-  '@esbuild/linux-loong64@0.27.7':
+  '@esbuild/linux-loong64@0.28.1':
    optional: true

-  '@esbuild/linux-mips64el@0.27.7':
+  '@esbuild/linux-mips64el@0.28.1':
    optional: true

-  '@esbuild/linux-ppc64@0.27.7':
+  '@esbuild/linux-ppc64@0.28.1':
    optional: true

-  '@esbuild/linux-riscv64@0.27.7':
+  '@esbuild/linux-riscv64@0.28.1':
    optional: true

-  '@esbuild/linux-s390x@0.27.7':
+  '@esbuild/linux-s390x@0.28.1':
    optional: true

-  '@esbuild/linux-x64@0.27.7':
+  '@esbuild/linux-x64@0.28.1':
    optional: true

-  '@esbuild/netbsd-arm64@0.27.7':
+  '@esbuild/netbsd-arm64@0.28.1':
    optional: true

-  '@esbuild/netbsd-x64@0.27.7':
+  '@esbuild/netbsd-x64@0.28.1':
    optional: true

-  '@esbuild/openbsd-arm64@0.27.7':
+  '@esbuild/openbsd-arm64@0.28.1':
    optional: true

-  '@esbuild/openbsd-x64@0.27.7':
+  '@esbuild/openbsd-x64@0.28.1':
    optional: true

-  '@esbuild/openharmony-arm64@0.27.7':
+  '@esbuild/openharmony-arm64@0.28.1':
    optional: true

-  '@esbuild/sunos-x64@0.27.7':
+  '@esbuild/sunos-x64@0.28.1':
    optional: true

-  '@esbuild/win32-arm64@0.27.7':
+  '@esbuild/win32-arm64@0.28.1':
    optional: true

-  '@esbuild/win32-ia32@0.27.7':
+  '@esbuild/win32-ia32@0.28.1':
    optional: true

-  '@esbuild/win32-x64@0.27.7':
+  '@esbuild/win32-x64@0.28.1':
    optional: true

  '@google/genai@1.52.0':
@@ -4218,9 +4219,9 @@ snapshots:
    dependencies:
      run-applescript: 7.1.0

-  bundle-require@5.1.0(esbuild@0.27.7):
+  bundle-require@5.1.0(esbuild@0.28.1):
    dependencies:
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      load-tsconfig: 0.2.5

  cac@6.7.14: {}
@@ -4435,34 +4436,34 @@ snapshots:
      has-tostringtag: 1.0.2
      hasown: 2.0.4

-  esbuild@0.27.7:
+  esbuild@0.28.1:
    optionalDependencies:
-      '@esbuild/aix-ppc64': 0.27.7
-      '@esbuild/android-arm': 0.27.7
-      '@esbuild/android-arm64': 0.27.7
-      '@esbuild/android-x64': 0.27.7
-      '@esbuild/darwin-arm64': 0.27.7
-      '@esbuild/darwin-x64': 0.27.7
-      '@esbuild/freebsd-arm64': 0.27.7
-      '@esbuild/freebsd-x64': 0.27.7
-      '@esbuild/linux-arm': 0.27.7
-      '@esbuild/linux-arm64': 0.27.7
-      '@esbuild/linux-ia32': 0.27.7
-      '@esbuild/linux-loong64': 0.27.7
-      '@esbuild/linux-mips64el': 0.27.7
-      '@esbuild/linux-ppc64': 0.27.7
-      '@esbuild/linux-riscv64': 0.27.7
-      '@esbuild/linux-s390x': 0.27.7
-      '@esbuild/linux-x64': 0.27.7
-      '@esbuild/netbsd-arm64': 0.27.7
-      '@esbuild/netbsd-x64': 0.27.7
-      '@esbuild/openbsd-arm64': 0.27.7
-      '@esbuild/openbsd-x64': 0.27.7
-      '@esbuild/openharmony-arm64': 0.27.7
-      '@esbuild/sunos-x64': 0.27.7
-      '@esbuild/win32-arm64': 0.27.7
-      '@esbuild/win32-ia32': 0.27.7
-      '@esbuild/win32-x64': 0.27.7
+      '@esbuild/aix-ppc64': 0.28.1
+      '@esbuild/android-arm': 0.28.1
+      '@esbuild/android-arm64': 0.28.1
+      '@esbuild/android-x64': 0.28.1
+      '@esbuild/darwin-arm64': 0.28.1
+      '@esbuild/darwin-x64': 0.28.1
+      '@esbuild/freebsd-arm64': 0.28.1
+      '@esbuild/freebsd-x64': 0.28.1
+      '@esbuild/linux-arm': 0.28.1
+      '@esbuild/linux-arm64': 0.28.1
+      '@esbuild/linux-ia32': 0.28.1
+      '@esbuild/linux-loong64': 0.28.1
+      '@esbuild/linux-mips64el': 0.28.1
+      '@esbuild/linux-ppc64': 0.28.1
+      '@esbuild/linux-riscv64': 0.28.1
+      '@esbuild/linux-s390x': 0.28.1
+      '@esbuild/linux-x64': 0.28.1
+      '@esbuild/netbsd-arm64': 0.28.1
+      '@esbuild/netbsd-x64': 0.28.1
+      '@esbuild/openbsd-arm64': 0.28.1
+      '@esbuild/openbsd-x64': 0.28.1
+      '@esbuild/openharmony-arm64': 0.28.1
+      '@esbuild/sunos-x64': 0.28.1
+      '@esbuild/win32-arm64': 0.28.1
+      '@esbuild/win32-ia32': 0.28.1
+      '@esbuild/win32-x64': 0.28.1

  escalade@3.2.0: {}

@@ -6016,7 +6017,7 @@ snapshots:

  ts-interface-checker@0.1.13: {}

-  ts-jest@29.4.11(@babel/core@7.29.7)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.29.7))(esbuild@0.27.7)(jest-util@29.7.0)(jest@29.7.0(@types/node@22.19.21)(ts-node@10.9.2(@types/node@22.19.21)(typescript@5.5.4)))(typescript@5.5.4):
+  ts-jest@29.4.11(@babel/core@7.29.7)(@jest/transform@29.7.0)(@jest/types@29.6.3)(babel-jest@29.7.0(@babel/core@7.29.7))(esbuild@0.28.1)(jest-util@29.7.0)(jest@29.7.0(@types/node@22.19.21)(ts-node@10.9.2(@types/node@22.19.21)(typescript@5.5.4)))(typescript@5.5.4):
    dependencies:
      bs-logger: 0.2.6
      fast-json-stable-stringify: 2.1.0
@@ -6034,7 +6035,7 @@ snapshots:
      '@jest/transform': 29.7.0
      '@jest/types': 29.6.3
      babel-jest: 29.7.0(@babel/core@7.29.7)
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      jest-util: 29.7.0

  ts-node@10.9.2(@types/node@22.19.21)(typescript@5.5.4):
@@ -6059,12 +6060,12 @@ snapshots:

  tsup@8.5.1(typescript@5.5.4):
    dependencies:
-      bundle-require: 5.1.0(esbuild@0.27.7)
+      bundle-require: 5.1.0(esbuild@0.28.1)
      cac: 6.7.14
      chokidar: 4.0.3
      consola: 3.4.2
      debug: 4.4.3(supports-color@5.5.0)
-      esbuild: 0.27.7
+      esbuild: 0.28.1
      fix-dts-default-cjs-exports: 1.0.1
      joycon: 3.1.1
      picocolors: 1.1.1
@@ -22,3 +22,4 @@ overrides:
  "tar-fs@>=2.0.0 <2.1.4": "^2.1.4"
  "glob@>=10.2.0 <10.5.0": "^10.5.0"
  "@modelcontextprotocol/sdk": "^1.25.4"
+  "esbuild": ">=0.28.1"
@@ -75,8 +75,8 @@
    "typescript": "5.5.4"
  },
  "dependencies": {
-    "@langchain/community": "^0.3.36",
-    "@langchain/core": "^0.3.42",
+    "@langchain/community": "^1.1.18",
+    "@langchain/core": "^1.1.27",
    "axios": "^1.16.0",
    "mem0ai": "^2.1.8",
    "uuid": "^11.1.1",
@@ -112,6 +112,13 @@ export class ConfigManager {
              | undefined) ??
            userConf?.url ??
            defaultConf.baseURL;
+          const llmRaw = userConf as Record<string, unknown> | undefined;
+          const temperature =
+            userConf?.temperature ??
+            (llmRaw?.temperature as number | undefined);
+          const topP = userConf?.topP ?? (llmRaw?.top_p as number | undefined);
+          const maxTokens =
+            userConf?.maxTokens ?? (llmRaw?.max_tokens as number | undefined);

          return {
            baseURL: llmBaseURL,
@@ -125,6 +132,9 @@ export class ConfigManager {
              userConf?.modelProperties !== undefined
                ? userConf.modelProperties
                : defaultConf.modelProperties,
+            temperature,
+            topP,
+            maxTokens,
          };
        })(),
      },
@@ -5,6 +5,9 @@ import { LLMConfig, Message } from "../types";
 export class AnthropicLLM implements LLM {
  private client: Anthropic;
  private model: string;
+  private maxTokens: number;
+  private temperature?: number;
+  private topP?: number;

  constructor(config: LLMConfig) {
    const apiKey = config.apiKey || process.env.ANTHROPIC_API_KEY;
@@ -12,18 +15,24 @@ export class AnthropicLLM implements LLM {
      throw new Error("Anthropic API key is required");
    }
    this.client = new Anthropic({ apiKey });
-    this.model = config.model || "claude-3-sonnet-20240229";
+    this.model = config.model || "claude-sonnet-4-6";
+    // Defaults mirror the Python provider's AnthropicConfig
+    // (max_tokens=2000, temperature=0.1, top_p omitted).
+    this.maxTokens = config.maxTokens ?? 2000;
+    this.temperature = config.temperature ?? 0.1;
+    this.topP = config.topP;
  }

  async generateResponse(
    messages: Message[],
    responseFormat?: { type: string },
-  ): Promise<string> {
+    tools?: any[],
+  ): Promise<string | LLMResponse> {
    // Extract system message if present
    const systemMessage = messages.find((msg) => msg.role === "system");
    const otherMessages = messages.filter((msg) => msg.role !== "system");

-    const response = await this.client.messages.create({
+    const params: Anthropic.MessageCreateParamsNonStreaming = {
      model: this.model,
      messages: otherMessages.map((msg) => ({
        role: msg.role as "user" | "assistant",
@@ -36,8 +45,41 @@ export class AnthropicLLM implements LLM {
        typeof systemMessage?.content === "string"
          ? systemMessage.content
          : undefined,
-      max_tokens: 4096,
-    });
+      max_tokens: this.maxTokens,
+    };
+
+    // Anthropic rejects requests that include both temperature and top_p;
+    // prefer temperature, matching the Python provider's _get_common_params.
+    if (this.temperature !== undefined) {
+      params.temperature = this.temperature;
+    } else if (this.topP !== undefined) {
+      params.top_p = this.topP;
+    }
+
+    if (tools) {
+      params.tools = tools;
+      params.tool_choice = { type: "auto" };
+    }
+
+    const response = await this.client.messages.create(params);
+
+    if (tools) {
+      let content = "";
+      const toolCalls: Array<{ name: string; arguments: string }> = [];
+
+      for (const block of response.content) {
+        if (block.type === "text") {
+          content = block.text;
+        } else if (block.type === "tool_use") {
+          toolCalls.push({
+            name: block.name,
+            arguments: JSON.stringify(block.input),
+          });
+        }
+      }
+
+      return { content, role: "assistant", toolCalls };
+    }

    const firstBlock = response.content[0];
    if (firstBlock.type === "text") {
@@ -49,9 +91,9 @@ export class AnthropicLLM implements LLM {

  async generateChat(messages: Message[]): Promise<LLMResponse> {
    const response = await this.generateResponse(messages);
-    return {
-      content: response,
-      role: "assistant",
-    };
+    if (typeof response === "string") {
+      return { content: response, role: "assistant" };
+    }
+    return response;
  }
 }
@@ -36,10 +36,29 @@ import {
  SearchMemoryOptions,
  DeleteAllMemoryOptions,
  GetAllMemoryOptions,
+  UpdateProjectOptions,
 } from "./memory.types";
 import { parse_vision_messages } from "../utils/memory";
 import { HistoryManager } from "../storage/base";
 import { captureClientEvent } from "../utils/telemetry";
+import {
+  detectScaleThresholdFromAddResult,
+  detectScaleThresholdFromTopK,
+  detectPerformanceSlowQuery,
+  detectTemporalUsageFromMetadata,
+  detectTemporalUsageFromSearch,
+  displayDecayUsageNotice,
+  displayFirstRunNotice,
+  displayPerformanceSlowQueryNotice,
+  displayScaleThresholdNotice,
+  displayTemporalUsageNotice,
+  getDecayFeatureErrorMessage,
+  getDecayUsageDeleteCountAfterSuccess,
+  getTemporalFeatureErrorMessage,
+  isDecayUsageDeleteEligible,
+  PerformanceSlowQueryTrigger,
+  ScaleThresholdTrigger,
+} from "../utils/notices";
 import { lemmatizeForBm25 } from "../utils/lemmatization";
 import {
  extractEntities,
@@ -65,6 +84,58 @@ const ENTITY_PARAMS = [
  "runId",
 ];

+const ADD_CONTEXT_SEARCH_MAX_CHARS = 15000;
+const ADD_MAX_EXTRACTED_MEMORIES = 20;
+const ADD_MEMORY_EMBEDDING_MAX_CHARS = 15000;
+const ADD_MAX_ENTITY_LINKS_PER_EVENT = 100;
+const SEARCH_QUERY_MAX_CHARS = 15000;
+
+function tailCapText(text: string, maxChars: number): string {
+  if (text.length <= maxChars) return text;
+  return text.slice(-maxChars);
+}
+
+function capExtractedMemories<T>(memories: T[]): T[] {
+  if (memories.length <= ADD_MAX_EXTRACTED_MEMORIES) return memories;
+  console.warn(
+    `Extracted memory cap applied: extracted=${memories.length} processing=${ADD_MAX_EXTRACTED_MEMORIES}`,
+  );
+  return memories.slice(-ADD_MAX_EXTRACTED_MEMORIES);
+}
+
+function capMemoryEmbeddingTexts(texts: string[]): string[] {
+  const capped = texts.map((text) =>
+    tailCapText(text, ADD_MEMORY_EMBEDDING_MAX_CHARS),
+  );
+  const cappedCount = texts.filter(
+    (text, index) => text !== capped[index],
+  ).length;
+  if (cappedCount > 0) {
+    console.warn(
+      `Memory embedding input cap applied: capped_count=${cappedCount} max_chars=${ADD_MEMORY_EMBEDDING_MAX_CHARS}`,
+    );
+  }
+  return capped;
+}
+
+function capSearchQuery(query: string): string {
+  const capped = tailCapText(query, SEARCH_QUERY_MAX_CHARS);
+  if (capped.length !== query.length) {
+    console.warn(
+      `Search query cap applied: original_chars=${query.length} searched_chars=${capped.length}`,
+    );
+  }
+  return capped;
+}
+
+function capEntityKeys(keys: string[]): string[] {
+  if (keys.length <= ADD_MAX_ENTITY_LINKS_PER_EVENT) return keys;
+  console.warn(
+    `ADD entity-linking cap applied: extracted=${keys.length} processing=${ADD_MAX_ENTITY_LINKS_PER_EVENT}`,
+  );
+  return keys.slice(0, ADD_MAX_ENTITY_LINKS_PER_EVENT);
+}
+
 /**
 * Validates that no top-level entity parameters are passed in config.
 * @throws Error if entity params are found at top level
@@ -494,6 +565,73 @@ export class Memory {
    }
  }

+  private async _displayFirstRunNotice(triggerFunction: string) {
+    try {
+      await this._getTelemetryId();
+      await displayFirstRunNotice(this, triggerFunction);
+    } catch {}
+  }
+
+  private async _displayDecayUsageNotice(trigger: {
+    triggerFunction: "delete" | "delete_all";
+    triggerSource: "delete_count" | "delete_all";
+    triggerReason: "repeated_deletes" | "bulk_delete";
+    deleteCount?: number;
+    deletedCount?: number;
+  }) {
+    try {
+      await this._getTelemetryId();
+      await displayDecayUsageNotice(this, trigger);
+    } catch {}
+  }
+
+  private async _displayTemporalUsageNotice(trigger: {
+    triggerFunction: "add" | "search";
+    triggerSource: "metadata" | "query" | "filter";
+    triggerReason:
+      | "date_like_metadata"
+      | "relative_phrase"
+      | "date_like_query"
+      | "date_range_filter";
+  }) {
+    try {
+      await this._getTelemetryId();
+      await displayTemporalUsageNotice(this, trigger);
+    } catch {}
+  }
+
+  private async _displayScaleThresholdNotice(trigger: ScaleThresholdTrigger) {
+    try {
+      await this._getTelemetryId();
+      await displayScaleThresholdNotice(this, trigger);
+    } catch {}
+  }
+
+  private async _displayPerformanceSlowQueryNotice(
+    trigger: PerformanceSlowQueryTrigger,
+  ) {
+    try {
+      await this._getTelemetryId();
+      await displayPerformanceSlowQueryNotice(this, trigger);
+    } catch {}
+  }
+
+  private async _getNoticeTelemetryId() {
+    try {
+      if (
+        !this.telemetryId ||
+        this.telemetryId === "anonymous" ||
+        this.telemetryId === "anonymous-supabase"
+      ) {
+        this.telemetryId = (await getOrCreateMem0UserId()) || "anonymous";
+      }
+      return this.telemetryId;
+    } catch {
+      this.telemetryId = "anonymous";
+      return this.telemetryId;
+    }
+  }
+
  static fromConfig(configDict: Record<string, any>): Memory {
    try {
      const config = MemoryConfigSchema.parse(configDict);
@@ -504,10 +642,29 @@ export class Memory {
    }
  }

+  async updateProject(options: UpdateProjectOptions = {}): Promise<never> {
+    if (options?.decay === true) {
+      await this._getNoticeTelemetryId();
+      throw new Error(await getDecayFeatureErrorMessage(this));
+    }
+
+    throw new Error("Project updates are not supported by the OSS Memory SDK.");
+  }
+
  async add(
    messages: string | Message[],
    config: AddMemoryOptions,
  ): Promise<SearchResult> {
+    if (config?.timestamp !== undefined) {
+      await this._getNoticeTelemetryId();
+      throw new Error(
+        await getTemporalFeatureErrorMessage(this, {
+          triggerFunction: "add",
+          triggerParameter: "timestamp",
+        }),
+      );
+    }
+
    // Validate messages input
    if (messages === undefined || messages === null) {
      throw new Error(
@@ -515,6 +672,10 @@ export class Memory {
      );
    }

+    const temporalUsageNotice = detectTemporalUsageFromMetadata(
+      config?.metadata,
+    );
+
    await this._ensureInitialized();
    await this._captureEvent("add", {
      message_count: Array.isArray(messages) ? messages.length : 1,
@@ -554,6 +715,27 @@ export class Memory {
      infer,
    );

+    if (temporalUsageNotice) {
+      await this._displayTemporalUsageNotice({
+        triggerFunction: "add",
+        triggerSource: temporalUsageNotice.triggerSource,
+        triggerReason: temporalUsageNotice.triggerReason,
+      });
+    } else {
+      const scaleThresholdNotice = await detectScaleThresholdFromAddResult(
+        this,
+        vectorStoreResult,
+      );
+      if (scaleThresholdNotice) {
+        await this._displayScaleThresholdNotice({
+          triggerFunction: "add",
+          ...scaleThresholdNotice,
+        });
+      } else {
+        await this._displayFirstRunNotice("add");
+      }
+    }
+
    return {
      results: vectorStoreResult,
    };
@@ -604,7 +786,16 @@ export class Memory {
    const parsedMessages = messages.map((m) => m.content).join("\n");

    // Phase 1: Existing memory retrieval
-    const queryEmbedding = await this.embedder.embed(parsedMessages);
+    const searchMessages = tailCapText(
+      parsedMessages,
+      ADD_CONTEXT_SEARCH_MAX_CHARS,
+    );
+    if (searchMessages.length !== parsedMessages.length) {
+      console.warn(
+        `ADD context-search embedding capped: original_chars=${parsedMessages.length} embedded_chars=${searchMessages.length}`,
+      );
+    }
+    const queryEmbedding = await this.embedder.embed(searchMessages);
    const existingResults = await this.vectorStore.search(
      queryEmbedding,
      10,
@@ -675,6 +866,7 @@ export class Memory {
      console.error("Error parsing extraction response:", e);
      extractedMemories = [];
    }
+    extractedMemories = capExtractedMemories(extractedMemories);

    if (extractedMemories.length === 0) {
      // Save messages even if nothing extracted
@@ -696,17 +888,21 @@ export class Memory {
    const memTexts = extractedMemories
      .map((m) => m.text ?? "")
      .filter((t) => t.length > 0);
+    const memEmbeddingTexts = capMemoryEmbeddingTexts(memTexts);
    let embedMap: Record<string, number[]> = {};
    try {
-      const memEmbeddingsList = await this.embedder.embedBatch(memTexts);
+      const memEmbeddingsList =
+        await this.embedder.embedBatch(memEmbeddingTexts);
      for (let i = 0; i < memTexts.length; i++) {
        embedMap[memTexts[i]] = memEmbeddingsList[i];
      }
    } catch {
      // Fallback: embed individually
-      for (const text of memTexts) {
+      for (let i = 0; i < memTexts.length; i++) {
+        const text = memTexts[i];
+        const embeddingText = memEmbeddingTexts[i];
        try {
-          embedMap[text] = await this.embedder.embed(text);
+          embedMap[text] = await this.embedder.embed(embeddingText);
        } catch (e) {
          console.warn(`Failed to embed memory text: ${e}`);
        }
@@ -877,9 +1073,8 @@ export class Memory {

      const orderedKeys = Object.keys(globalEntities);
      if (orderedKeys.length > 0) {
-        const entityTexts = orderedKeys.map(
-          (k) => globalEntities[k].entityText,
-        );
+        const entityKeys = capEntityKeys(orderedKeys);
+        const entityTexts = entityKeys.map((k) => globalEntities[k].entityText);

        // 7b: Single batch embed for all unique entities
        let entityEmbeddings: (number[] | null)[];
@@ -899,9 +1094,9 @@ export class Memory {

        // Filter out entities with failed embeddings
        const valid: Array<{ index: number; key: string }> = [];
-        for (let i = 0; i < orderedKeys.length; i++) {
+        for (let i = 0; i < entityKeys.length; i++) {
          if (entityEmbeddings[i] !== null) {
-            valid.push({ index: i, key: orderedKeys[i] });
+            valid.push({ index: i, key: entityKeys[i] });
          }
        }

@@ -996,7 +1191,10 @@ export class Memory {
  async get(memoryId: string): Promise<MemoryItem | null> {
    await this._ensureInitialized();
    const memory = await this.vectorStore.get(memoryId);
-    if (!memory) return null;
+    if (!memory) {
+      await this._displayFirstRunNotice("get");
+      return null;
+    }

    const filters = {
      ...(memory.payload.user_id && { user_id: memory.payload.user_id }),
@@ -1031,13 +1229,30 @@ export class Memory {
      }
    }

-    return { ...memoryItem, ...filters };
+    const result = { ...memoryItem, ...filters };
+    await this._displayFirstRunNotice("get");
+    return result;
  }

  async search(
    query: string,
    config: SearchMemoryOptions,
  ): Promise<SearchResult> {
+    if (config?.referenceDate !== undefined) {
+      await this._getNoticeTelemetryId();
+      throw new Error(
+        await getTemporalFeatureErrorMessage(this, {
+          triggerFunction: "search",
+          triggerParameter: "referenceDate",
+        }),
+      );
+    }
+
+    const temporalUsageNotice = detectTemporalUsageFromSearch(
+      query,
+      config?.filters,
+    );
+
    // Reject top-level entity params - must use filters instead
    rejectTopLevelEntityParams(config as Record<string, any>, "search");

@@ -1105,6 +1320,9 @@ export class Memory {
      );
    }

+    const searchStartMs = Date.now();
+    query = capSearchQuery(query);
+
    // Step 1: Preprocess query
    const queryLemmatized = lemmatizeForBm25(query);
    const queryEntities = extractEntities(query);
@@ -1280,9 +1498,41 @@ export class Memory {
        };
      });

-    return {
+    const result = {
      results,
    };
+    const searchElapsedMs = Date.now() - searchStartMs;
+    if (temporalUsageNotice) {
+      await this._displayTemporalUsageNotice({
+        triggerFunction: "search",
+        triggerSource: temporalUsageNotice.triggerSource,
+        triggerReason: temporalUsageNotice.triggerReason,
+      });
+    } else {
+      const scaleThresholdNotice = detectScaleThresholdFromTopK(topK);
+      if (scaleThresholdNotice) {
+        await this._displayScaleThresholdNotice({
+          triggerFunction: "search",
+          ...scaleThresholdNotice,
+        });
+      } else {
+        const performanceSlowQueryNotice = detectPerformanceSlowQuery(
+          searchElapsedMs,
+          topK,
+          results.length,
+        );
+        if (performanceSlowQueryNotice) {
+          await this._displayPerformanceSlowQueryNotice({
+            triggerFunction: "search",
+            triggerReason: "slow_query",
+            ...performanceSlowQueryNotice,
+          });
+        } else {
+          await this._displayFirstRunNotice("search");
+        }
+      }
+    }
+    return result;
  }

  async update(memoryId: string, data: string): Promise<{ message: string }> {
@@ -1290,14 +1540,28 @@ export class Memory {
    await this._captureEvent("update", { memory_id: memoryId });
    const embedding = await this.embedder.embed(data);
    await this.updateMemory(memoryId, data, { [data]: embedding });
-    return { message: "Memory updated successfully!" };
+    const result = { message: "Memory updated successfully!" };
+    await this._displayFirstRunNotice("update");
+    return result;
  }

  async delete(memoryId: string): Promise<{ message: string }> {
    await this._ensureInitialized();
    await this._captureEvent("delete", { memory_id: memoryId });
    await this.deleteMemory(memoryId);
-    return { message: "Memory deleted successfully!" };
+    const result = { message: "Memory deleted successfully!" };
+    const deleteCount = getDecayUsageDeleteCountAfterSuccess();
+    if (isDecayUsageDeleteEligible(deleteCount)) {
+      await this._displayDecayUsageNotice({
+        triggerFunction: "delete",
+        triggerSource: "delete_count",
+        triggerReason: "repeated_deletes",
+        deleteCount,
+      });
+    } else {
+      await this._displayFirstRunNotice("delete");
+    }
+    return result;
  }

  async deleteAll(
@@ -1328,12 +1592,25 @@ export class Memory {
      await this.deleteMemory(memory.id);
    }

-    return { message: "Memories deleted successfully!" };
+    const result = { message: "Memories deleted successfully!" };
+    if (memories.length > 0) {
+      await this._displayDecayUsageNotice({
+        triggerFunction: "delete_all",
+        triggerSource: "delete_all",
+        triggerReason: "bulk_delete",
+        deletedCount: memories.length,
+      });
+    } else {
+      await this._displayFirstRunNotice("delete_all");
+    }
+    return result;
  }

  async history(memoryId: string): Promise<any[]> {
    await this._ensureInitialized();
-    return this.db.getHistory(memoryId);
+    const result = await this.db.getHistory(memoryId);
+    await this._displayFirstRunNotice("history");
+    return result;
  }

  async reset(): Promise<void> {
@@ -1385,6 +1662,7 @@ export class Memory {
      console.error(this._initError);
    });
    await this._initPromise;
+    await this._displayFirstRunNotice("reset");
  }

  async getAll(config: GetAllMemoryOptions): Promise<SearchResult> {
@@ -1452,7 +1730,17 @@ export class Memory {
      ...(mem.payload.run_id && { run_id: mem.payload.run_id }),
    }));

-    return { results };
+    const result = { results };
+    const scaleThresholdNotice = detectScaleThresholdFromTopK(topK);
+    if (scaleThresholdNotice) {
+      await this._displayScaleThresholdNotice({
+        triggerFunction: "get_all",
+        ...scaleThresholdNotice,
+      });
+    } else {
+      await this._displayFirstRunNotice("get_all");
+    }
+    return result;
  }

  private async createMemory(
@@ -1500,20 +1788,13 @@ export class Memory {
      existingEmbeddings[data] || (await this.embedder.embed(data));

    const newMetadata = {
+      ...existingMemory.payload,
      ...metadata,
      data,
      hash: createHash("md5").update(data).digest("hex"),
+      textLemmatized: lemmatizeForBm25(data),
      createdAt: existingMemory.payload.createdAt,
      updatedAt: new Date().toISOString(),
-      ...(existingMemory.payload.user_id && {
-        user_id: existingMemory.payload.user_id,
-      }),
-      ...(existingMemory.payload.agent_id && {
-        agent_id: existingMemory.payload.agent_id,
-      }),
-      ...(existingMemory.payload.run_id && {
-        run_id: existingMemory.payload.run_id,
-      }),
    };

    await this.vectorStore.update(memoryId, embedding, newMetadata);
@@ -11,6 +11,7 @@ export interface AddMemoryOptions extends Entity {
  metadata?: Record<string, any>;
  filters?: SearchFilters;
  infer?: boolean;
+  timestamp?: number | string | Date | null;
 }

 export interface SearchMemoryOptions {
@@ -18,6 +19,7 @@ export interface SearchMemoryOptions {
  filters?: SearchFilters;
  threshold?: number;
  explain?: boolean;
+  referenceDate?: number | string | Date | null;
 }

 export interface GetAllMemoryOptions {
@@ -26,3 +28,8 @@ export interface GetAllMemoryOptions {
 }

 export interface DeleteAllMemoryOptions extends Entity {}
+
+export interface UpdateProjectOptions {
+  decay?: boolean;
+  [key: string]: any;
+}
@@ -49,6 +49,9 @@ export interface LLMConfig {
  model?: string | any;
  modelProperties?: Record<string, any>;
  timeout?: number;
+  temperature?: number;
+  topP?: number;
+  maxTokens?: number;
 }

 export interface MemoryConfig {
@@ -131,6 +134,9 @@ export const MemoryConfigSchema = z.object({
      baseURL: z.string().optional(),
      url: z.string().optional(),
      timeout: z.number().optional(),
+      temperature: z.number().optional(),
+      topP: z.number().optional(),
+      maxTokens: z.number().optional(),
    }),
  }),
  historyDbPath: z.string().optional(),
@@ -13,10 +13,12 @@ let version =
 // Safely check for process.env in different environments
 let MEM0_TELEMETRY = true;
 try {
-  MEM0_TELEMETRY = process?.env?.MEM0_TELEMETRY === "false" ? false : true;
+  MEM0_TELEMETRY =
+    process?.env?.MEM0_TELEMETRY?.toLowerCase() === "false" ? false : true;
 } catch (error) {}
 const POSTHOG_API_KEY = "phc_hgJkUVJFYtmaJqrvf6CYN67TIQ8yhXAkWzUn9AMU4yX";
 const POSTHOG_HOST = "https://us.i.posthog.com/i/v0/e/";
+const NOTICE_EVENT_NAME = "mem0.notice_displayed";

 // Default sampling rate for hot-path OSS events. Lifecycle events always fire at 100%.
 // Override via MEM0_TELEMETRY_SAMPLE_RATE env var. Mirrors mem0/memory/telemetry.py.
@@ -35,7 +37,11 @@ const MEM0_TELEMETRY_SAMPLE_RATE: number = ((): number => {
 })();

 // Events that bypass sampling. Keep in sync with _captureEvent call sites in memory/index.ts.
-const LIFECYCLE_EVENTS: ReadonlySet<string> = new Set(["init", "reset"]);
+const ALWAYS_SEND_EVENTS: ReadonlySet<string> = new Set([
+  "init",
+  "reset",
+  "notice_displayed",
+]);

 class UnifiedTelemetry implements TelemetryClient {
  private apiKey: string;
@@ -91,6 +97,10 @@ class UnifiedTelemetry implements TelemetryClient {

 const telemetry = new UnifiedTelemetry(POSTHOG_API_KEY, POSTHOG_HOST);

+function isTelemetryEnabled(): boolean {
+  return MEM0_TELEMETRY;
+}
+
 async function captureClientEvent(
  eventName: string,
  instance: TelemetryInstance,
@@ -102,8 +112,8 @@ async function captureClientEvent(
  }

  // >= so that rate=0 drops everything and rate=1 keeps everything (Math.random() ∈ [0, 1)).
-  const isLifecycle = LIFECYCLE_EVENTS.has(eventName);
-  if (!isLifecycle && Math.random() >= MEM0_TELEMETRY_SAMPLE_RATE) {
+  const alwaysSend = ALWAYS_SEND_EVENTS.has(eventName);
+  if (!alwaysSend && Math.random() >= MEM0_TELEMETRY_SAMPLE_RATE) {
    return;
  }

@@ -116,7 +126,7 @@ async function captureClientEvent(
    client_source: "nodejs",
    ...additionalData,
    // sample_rate set AFTER the spread so callers can never override it
-    sample_rate: isLifecycle ? 1.0 : MEM0_TELEMETRY_SAMPLE_RATE,
+    sample_rate: alwaysSend ? 1.0 : MEM0_TELEMETRY_SAMPLE_RATE,
  };

  await telemetry.captureEvent(
@@ -126,4 +136,36 @@ async function captureClientEvent(
  );
 }

-export { telemetry, captureClientEvent };
+async function captureNoticeEvent(
+  instance: TelemetryInstance,
+  properties: Record<string, any> = {},
+) {
+  if (!instance.telemetryId) return;
+
+  const eventData: TelemetryEventData = {
+    function: `${instance.constructor.name}`,
+    method: "notice_displayed",
+    api_host: instance.host,
+    timestamp: new Date().toISOString(),
+    client_version: version,
+    client_source: "nodejs",
+    ...properties,
+    sample_rate: 1.0,
+  };
+
+  await telemetry.captureEvent(
+    instance.telemetryId,
+    NOTICE_EVENT_NAME,
+    eventData,
+  );
+}
+
+export {
+  POSTHOG_API_KEY,
+  POSTHOG_HOST,
+  NOTICE_EVENT_NAME,
+  telemetry,
+  captureClientEvent,
+  captureNoticeEvent,
+  isTelemetryEnabled,
+};
@@ -0,0 +1,263 @@
+/// <reference types="jest" />
+/**
+ * Anthropic LLM — unit tests (mocked @anthropic-ai/sdk).
+ */
+
+const mockCreate = jest.fn();
+
+jest.mock("@anthropic-ai/sdk", () => {
+  return jest.fn().mockImplementation(() => ({
+    messages: { create: mockCreate },
+  }));
+});
+
+import { AnthropicLLM } from "../src/llms/anthropic";
+
+describe("AnthropicLLM (unit)", () => {
+  beforeEach(() => mockCreate.mockClear());
+
+  it("returns text when no tools are provided and model returns a text block", async () => {
+    mockCreate.mockResolvedValueOnce({
+      content: [{ type: "text", text: '{"facts": ["fact1"]}' }],
+    });
+
+    const llm = new AnthropicLLM({ apiKey: "test-key" });
+    const result = await llm.generateResponse([
+      { role: "user", content: "Hello" },
+    ]);
+
+    expect(mockCreate).toHaveBeenCalledTimes(1);
+    expect(result).toBe('{"facts": ["fact1"]}');
+
+    // No tools → tool_choice must NOT be forwarded
+    const callArgs = mockCreate.mock.calls[0][0];
+    expect(callArgs.tool_choice).toBeUndefined();
+  });
+
+  // Bug #1 regression: bare string "auto" must NOT be sent; object form required
+  it("forwards tool_choice as { type: 'auto' } (not bare string) when tools are provided", async () => {
+    mockCreate.mockResolvedValueOnce({
+      content: [
+        {
+          type: "tool_use",
+          id: "toolu_1",
+          name: "add_graph_memory",
+          input: { source: "Alice", destination: "Bob" },
+        },
+      ],
+    });
+
+    const tools = [
+      {
+        name: "add_graph_memory",
+        description: "Add a graph memory",
+        input_schema: { type: "object", properties: {} },
+      },
+    ];
+
+    const llm = new AnthropicLLM({ apiKey: "test-key" });
+    await llm.generateResponse(
+      [{ role: "user", content: "Alice knows Bob" }],
+      undefined,
+      tools,
+    );
+
+    const callArgs = mockCreate.mock.calls[0][0];
+    // Must be object form, not a bare string
+    expect(callArgs.tool_choice).toEqual({ type: "auto" });
+    expect(callArgs.tool_choice).not.toBe("auto");
+  });
+
+  // Bug #2 regression: must NOT throw on a tool_use block
+  it("does NOT throw when the model returns a tool_use block", async () => {
+    mockCreate.mockResolvedValueOnce({
+      content: [
+        {
+          type: "tool_use",
+          id: "toolu_1",
+          name: "add_graph_memory",
+          input: { source: "Alice", destination: "Bob" },
+        },
+      ],
+    });
+
+    const tools = [
+      {
+        name: "add_graph_memory",
+        description: "Add a graph memory",
+        input_schema: { type: "object", properties: {} },
+      },
+    ];
+
+    const llm = new AnthropicLLM({ apiKey: "test-key" });
+    await expect(
+      llm.generateResponse(
+        [{ role: "user", content: "Alice knows Bob" }],
+        undefined,
+        tools,
+      ),
+    ).resolves.not.toThrow();
+  });
+
+  it("parses tool_use blocks into toolCalls with JSON-stringified arguments", async () => {
+    const inputObj = { source: "Alice", destination: "Bob" };
+    mockCreate.mockResolvedValueOnce({
+      content: [
+        {
+          type: "tool_use",
+          id: "toolu_1",
+          name: "add_graph_memory",
+          input: inputObj,
+        },
+      ],
+    });
+
+    const tools = [
+      {
+        name: "add_graph_memory",
+        description: "Add a graph memory",
+        input_schema: { type: "object", properties: {} },
+      },
+    ];
+
+    const llm = new AnthropicLLM({ apiKey: "test-key" });
+    const result = await llm.generateResponse(
+      [{ role: "user", content: "Alice knows Bob" }],
+      undefined,
+      tools,
+    );
+
+    expect(result).toHaveProperty("toolCalls");
+    const response = result as {
+      content: string;
+      role: string;
+      toolCalls: Array<{ name: string; arguments: string }>;
+    };
+    expect(response.toolCalls).toHaveLength(1);
+    expect(response.toolCalls[0].name).toBe("add_graph_memory");
+    expect(JSON.parse(response.toolCalls[0].arguments)).toEqual(inputObj);
+  });
+
+  it("handles a mixed text + tool_use response", async () => {
+    const inputObj = { source: "Alice", destination: "Bob" };
+    mockCreate.mockResolvedValueOnce({
+      content: [
+        { type: "text", text: "Calling the tool now." },
+        {
+          type: "tool_use",
+          id: "toolu_2",
+          name: "add_graph_memory",
+          input: inputObj,
+        },
+      ],
+    });
+
+    const tools = [
+      {
+        name: "add_graph_memory",
+        description: "Add a graph memory",
+        input_schema: { type: "object", properties: {} },
+      },
+    ];
+
+    const llm = new AnthropicLLM({ apiKey: "test-key" });
+    const result = await llm.generateResponse(
+      [{ role: "user", content: "Alice knows Bob" }],
+      undefined,
+      tools,
+    );
+
+    expect(result).toHaveProperty("toolCalls");
+    const response = result as {
+      content: string;
+      role: string;
+      toolCalls: Array<{ name: string; arguments: string }>;
+    };
+    expect(response.content).toBe("Calling the tool now.");
+    expect(response.role).toBe("assistant");
+    expect(response.toolCalls).toHaveLength(1);
+    expect(response.toolCalls[0].name).toBe("add_graph_memory");
+    expect(JSON.parse(response.toolCalls[0].arguments)).toEqual(inputObj);
+  });
+
+  it("returns a structured response when tools are provided but the model returns only a text block", async () => {
+    mockCreate.mockResolvedValueOnce({
+      content: [{ type: "text", text: "Just a text response" }],
+    });
+
+    const tools = [
+      {
+        name: "noop",
+        description: "No operation",
+        input_schema: { type: "object", properties: {} },
+      },
+    ];
+
+    const llm = new AnthropicLLM({ apiKey: "test-key" });
+    const result = await llm.generateResponse(
+      [{ role: "user", content: "Hello" }],
+      undefined,
+      tools,
+    );
+
+    expect(result).toEqual({
+      content: "Just a text response",
+      role: "assistant",
+      toolCalls: [],
+    });
+  });
+
+  // Parity with the Python provider's AnthropicConfig defaults:
+  // model claude-sonnet-4-6, max_tokens 2000, temperature 0.1, top_p omitted.
+  it("sends Python-parity defaults (model, max_tokens, temperature)", async () => {
+    mockCreate.mockResolvedValueOnce({
+      content: [{ type: "text", text: "ok" }],
+    });
+
+    const llm = new AnthropicLLM({ apiKey: "test-key" });
+    await llm.generateResponse([{ role: "user", content: "Hi" }]);
+
+    const callArgs = mockCreate.mock.calls[0][0];
+    expect(callArgs.model).toBe("claude-sonnet-4-6");
+    expect(callArgs.max_tokens).toBe(2000);
+    expect(callArgs.temperature).toBe(0.1);
+    expect(callArgs.top_p).toBeUndefined();
+  });
+
+  it("forwards maxTokens, temperature, and model from config", async () => {
+    mockCreate.mockResolvedValueOnce({
+      content: [{ type: "text", text: "ok" }],
+    });
+
+    const llm = new AnthropicLLM({
+      apiKey: "test-key",
+      model: "claude-opus-4-8",
+      maxTokens: 1024,
+      temperature: 0.7,
+    });
+    await llm.generateResponse([{ role: "user", content: "Hi" }]);
+
+    const callArgs = mockCreate.mock.calls[0][0];
+    expect(callArgs.model).toBe("claude-opus-4-8");
+    expect(callArgs.max_tokens).toBe(1024);
+    expect(callArgs.temperature).toBe(0.7);
+  });
+
+  // Anthropic rejects requests with both temperature and top_p set.
+  it("never sends both temperature and top_p (prefers temperature)", async () => {
+    mockCreate.mockResolvedValueOnce({
+      content: [{ type: "text", text: "ok" }],
+    });
+
+    const llm = new AnthropicLLM({
+      apiKey: "test-key",
+      temperature: 0.5,
+      topP: 0.9,
+    });
+    await llm.generateResponse([{ role: "user", content: "Hi" }]);
+
+    const callArgs = mockCreate.mock.calls[0][0];
+    expect(callArgs.temperature).toBe(0.5);
+    expect(callArgs.top_p).toBeUndefined();
+  });
+});
@@ -418,6 +418,7 @@ describe("Memory – LM Studio end-to-end flow", () => {
    }));
    jest.doMock("../src/utils/telemetry", () => ({
      captureClientEvent: jest.fn().mockResolvedValue(undefined),
+      isTelemetryEnabled: jest.fn(() => false),
    }));

    MemoryClass = require("../src/memory").Memory;
@@ -290,6 +290,7 @@ describe("Memory – auto-initialization", () => {

    jest.doMock("../src/utils/telemetry", () => ({
      captureClientEvent: jest.fn().mockResolvedValue(undefined),
+      isTelemetryEnabled: jest.fn(() => false),
    }));

    MemoryClass = require("../src/memory").Memory;
@@ -176,3 +176,79 @@ describe("Memory - add()", () => {
    );
  });
 });
+
+describe("Memory - ingestion caps", () => {
+  test("caps add context-search embedding to the recent tail", async () => {
+    const memory = createMemory({
+      vectorStore: {
+        provider: "memory",
+        config: {
+          collectionName: `test-add-context-cap-${Date.now()}`,
+          dimension: 1536,
+          dbPath: ":memory:",
+        },
+      },
+    });
+    const embedSpy = jest.spyOn((memory as any).embedder, "embed");
+    const longText = `old-${"x".repeat(15000)}`;
+
+    await memory.add(longText, { userId: `cap_user_${Date.now()}` });
+
+    expect(embedSpy.mock.calls[0][0]).toBe(longText.slice(-15000));
+    await memory.reset();
+  });
+
+  test("caps extracted memories to the latest 20 before embedding", async () => {
+    const memory = createMemory({
+      vectorStore: {
+        provider: "memory",
+        config: {
+          collectionName: `test-add-memory-cap-${Date.now()}`,
+          dimension: 1536,
+          dbPath: ":memory:",
+        },
+      },
+    });
+    (memory as any).llm.generateResponse = jest.fn().mockResolvedValue(
+      JSON.stringify({
+        memory: Array.from({ length: 25 }, (_, i) => ({
+          id: String(i),
+          text: `memory-${i}`,
+        })),
+      }),
+    );
+    const embedBatchSpy = jest.spyOn((memory as any).embedder, "embedBatch");
+
+    const result: SearchResult = await memory.add("remember these", {
+      userId: `cap_user_${Date.now()}`,
+    });
+
+    expect(result.results).toHaveLength(20);
+    expect(embedBatchSpy.mock.calls[0][0]).toEqual(
+      Array.from({ length: 20 }, (_, i) => `memory-${i + 5}`),
+    );
+    await memory.reset();
+  });
+
+  test("caps search query before embedding", async () => {
+    const memory = createMemory({
+      vectorStore: {
+        provider: "memory",
+        config: {
+          collectionName: `test-search-cap-${Date.now()}`,
+          dimension: 1536,
+          dbPath: ":memory:",
+        },
+      },
+    });
+    const embedSpy = jest.spyOn((memory as any).embedder, "embed");
+    const longQuery = `old-${"q".repeat(15000)}`;
+
+    await memory.search(longQuery, {
+      filters: { user_id: `cap_user_${Date.now()}` },
+    });
+
+    expect(embedSpy.mock.calls[0][0]).toBe(longQuery.slice(-15000));
+    await memory.reset();
+  });
+});
@@ -191,6 +191,21 @@ describe("Memory - update()", () => {
    const after: MemoryItem | null = await memory.get(id);
    expect(after!.hash).not.toBe(before!.hash);
  });
+
+  test("preserves custom metadata fields after update", async () => {
+    const addResult: SearchResult = await memory.add("Original text", {
+      userId,
+      metadata: { category: "hobbies", priority: "high" },
+      infer: false,
+    });
+    const id = addResult.results[0].id;
+    await memory.update(id, "Updated text");
+    const after: MemoryItem | null = await memory.get(id);
+    expect(after!.memory).toBe("Updated text");
+    expect(after!.metadata).toEqual(
+      expect.objectContaining({ category: "hobbies", priority: "high" }),
+    );
+  });
 });

 // ─── delete() ────────────────────────────────────────────
@@ -0,0 +1,387 @@
+/// <reference types="jest" />
+import * as fs from "fs";
+import * as os from "os";
+import * as path from "path";
+
+jest.setTimeout(15000);
+
+jest.mock("../src/embeddings/google", () => ({
+  GoogleEmbedder: jest.fn(),
+}));
+jest.mock("../src/llms/google", () => ({
+  GoogleLLM: jest.fn(),
+}));
+
+const mockEmbedding = new Array(1536).fill(0.1);
+jest.mock("../src/embeddings/openai", () => ({
+  OpenAIEmbedder: jest.fn().mockImplementation(() => ({
+    embed: jest.fn().mockResolvedValue(mockEmbedding),
+    embedBatch: jest
+      .fn()
+      .mockImplementation((texts: string[]) =>
+        Promise.resolve(texts.map(() => mockEmbedding)),
+      ),
+    embeddingDims: 1536,
+  })),
+}));
+
+jest.mock("../src/llms/openai", () => ({
+  OpenAILLM: jest.fn().mockImplementation(() => ({
+    generateResponse: jest.fn(),
+  })),
+}));
+
+const DECAY_COPY =
+  'Memory decay requires Mem0 Platform. Get a free API key at https://app.mem0.ai?utm_source=oss_sdk&utm_medium=in_product&utm_campaign=decay_stub&utm_content=node_error and use `import MemoryClient from "mem0ai"`.';
+const PLAIN_DECAY_ERROR =
+  "The decay parameter is not supported by the OSS Memory SDK.";
+const PROJECT_UPDATE_ERROR =
+  "Project updates are not supported by the OSS Memory SDK.";
+
+function makeTempMem0Dir(): string {
+  return fs.mkdtempSync(path.join(os.tmpdir(), "mem0-node-decay-feature-"));
+}
+
+function decayPayload(overrides: Record<string, any> = {}) {
+  return {
+    notices: {
+      decay_stub: {
+        enabled: true,
+        notice_type: "error",
+        copy: DECAY_COPY,
+        ...overrides,
+      },
+    },
+  };
+}
+
+function createFetchMock(options: {
+  variant?: string;
+  payload?: unknown;
+  failFlags?: boolean;
+  flagEnabled?: boolean;
+}) {
+  const calls: any[] = [];
+  const fetchMock = jest.fn(async (url: string | URL, init?: RequestInit) => {
+    const target = String(url);
+
+    if (target.includes("/flags")) {
+      if (options.failFlags) {
+        throw new Error("flag evaluation failed");
+      }
+      return {
+        ok: true,
+        json: jest.fn().mockResolvedValue({
+          flags: {
+            "mem0-oss-notices": {
+              key: "mem0-oss-notices",
+              enabled: options.flagEnabled ?? true,
+              variant: options.variant ?? "displayed",
+              metadata: {
+                payload:
+                  options.payload === undefined
+                    ? JSON.stringify(decayPayload())
+                    : options.payload,
+              },
+            },
+          },
+        }),
+      };
+    }
+
+    if (target.includes("/i/v0/e/")) {
+      calls.push(JSON.parse(String(init?.body)));
+      return {
+        ok: true,
+        text: jest.fn().mockResolvedValue(""),
+      };
+    }
+
+    return {
+      ok: true,
+      json: jest.fn().mockResolvedValue({}),
+      text: jest.fn().mockResolvedValue(""),
+    };
+  });
+
+  return { fetchMock, calls };
+}
+
+function noticeEvents(calls: any[]) {
+  return calls.filter((call) => call.event === "mem0.notice_displayed");
+}
+
+async function createMemory() {
+  const { Memory } = await import("../src/memory");
+  return new Memory({
+    version: "v1.1",
+    embedder: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "text-embedding-3-small" },
+    },
+    vectorStore: {
+      provider: "memory",
+      config: {
+        collectionName: `test-decay-feature-${Date.now()}-${Math.random()}`,
+        dimension: 1536,
+        dbPath: ":memory:",
+      },
+    },
+    llm: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "gpt-5-mini" },
+    },
+    historyDbPath: ":memory:",
+  });
+}
+
+describe("Node OSS decay feature error notice", () => {
+  let originalMem0Dir: string | undefined;
+  let originalTelemetry: string | undefined;
+  let originalSampleRate: string | undefined;
+  let originalFetch: typeof global.fetch;
+
+  beforeEach(() => {
+    originalMem0Dir = process.env.MEM0_DIR;
+    originalTelemetry = process.env.MEM0_TELEMETRY;
+    originalSampleRate = process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    originalFetch = global.fetch;
+
+    process.env.MEM0_DIR = makeTempMem0Dir();
+    process.env.MEM0_TELEMETRY = "true";
+    process.env.MEM0_TELEMETRY_SAMPLE_RATE = "1";
+    jest.resetModules();
+  });
+
+  afterEach(() => {
+    if (originalMem0Dir === undefined) delete process.env.MEM0_DIR;
+    else process.env.MEM0_DIR = originalMem0Dir;
+
+    if (originalTelemetry === undefined) delete process.env.MEM0_TELEMETRY;
+    else process.env.MEM0_TELEMETRY = originalTelemetry;
+
+    if (originalSampleRate === undefined) {
+      delete process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    } else {
+      process.env.MEM0_TELEMETRY_SAMPLE_RATE = originalSampleRate;
+    }
+
+    global.fetch = originalFetch;
+    jest.restoreAllMocks();
+    jest.resetModules();
+  });
+
+  it("raises CTA copy for displayed and emits displayed=true", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.updateProject({ decay: true })).rejects.toThrow(
+      DECAY_COPY,
+    );
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "decay_stub",
+        notice_type: "error",
+        flag_key: "mem0-oss-notices",
+        variant: "displayed",
+        displayed: true,
+        payload: DECAY_COPY,
+        notice_config_found: true,
+        sync_type: "async",
+        trigger_function: "update_project",
+        trigger_parameter: "decay",
+        sample_rate: 1,
+      }),
+    );
+  });
+
+  it("raises CTA copy for holdout and emits displayed=true", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "holdout" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.updateProject({ decay: true })).rejects.toThrow(
+      DECAY_COPY,
+    );
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "decay_stub",
+        variant: "holdout",
+        displayed: true,
+        trigger_function: "update_project",
+        trigger_parameter: "decay",
+      }),
+    );
+    expect(notices[0].properties.bypass_reason).toBeUndefined();
+  });
+
+  it("uses plain error for unknown future variants and emits not_displayed", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "silent" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.updateProject({ decay: true })).rejects.toThrow(
+      PLAIN_DECAY_ERROR,
+    );
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "decay_stub",
+        variant: "silent",
+        displayed: false,
+        bypass_reason: "not_displayed",
+        payload: DECAY_COPY,
+      }),
+    );
+  });
+
+  it("uses plain error for disabled payload and emits payload_disabled", async () => {
+    const { fetchMock, calls } = createFetchMock({
+      variant: "holdout",
+      payload: JSON.stringify(decayPayload({ enabled: false })),
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.updateProject({ decay: true })).rejects.toThrow(
+      PLAIN_DECAY_ERROR,
+    );
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "decay_stub",
+        displayed: false,
+        bypass_reason: "payload_disabled",
+        disabled_reason: "payload_disabled",
+        notice_config_found: true,
+      }),
+    );
+  });
+
+  it.each([
+    [
+      "missing config",
+      JSON.stringify({ notices: {} }),
+      "missing_notice_config",
+    ],
+    [
+      "missing copy",
+      JSON.stringify(decayPayload({ copy: "" })),
+      "missing_copy",
+    ],
+    ["malformed payload", "{not-json", "missing_notice_config"],
+  ])("uses plain error for %s", async (_label, payload, bypassReason) => {
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      payload,
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.updateProject({ decay: true })).rejects.toThrow(
+      PLAIN_DECAY_ERROR,
+    );
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "decay_stub",
+        displayed: false,
+        bypass_reason: bypassReason,
+      }),
+    );
+  });
+
+  it("uses plain error and emits no event when the blunt flag is disabled", async () => {
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      flagEnabled: false,
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.updateProject({ decay: true })).rejects.toThrow(
+      PLAIN_DECAY_ERROR,
+    );
+
+    expect(noticeEvents(calls)).toHaveLength(0);
+  });
+
+  it("uses plain error and emits no event when PostHog fails", async () => {
+    const { fetchMock, calls } = createFetchMock({ failFlags: true });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.updateProject({ decay: true })).rejects.toThrow(
+      PLAIN_DECAY_ERROR,
+    );
+
+    expect(noticeEvents(calls)).toHaveLength(0);
+  });
+
+  it("uses plain error and skips flag evaluation when telemetry is off", async () => {
+    process.env.MEM0_TELEMETRY = "False";
+    jest.resetModules();
+
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.updateProject({ decay: true })).rejects.toThrow(
+      PLAIN_DECAY_ERROR,
+    );
+
+    expect(fetchMock).not.toHaveBeenCalled();
+    expect(noticeEvents(calls)).toHaveLength(0);
+  });
+
+  it.each([
+    ["empty options", {}],
+    ["decay false", { decay: false }],
+    ["non-decay options", { customInstructions: "Updated" }],
+  ])("does not emit notice telemetry for %s", async (_label, options) => {
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.updateProject(options)).rejects.toThrow(
+      PROJECT_UPDATE_ERROR,
+    );
+
+    expect(
+      fetchMock.mock.calls.filter(([url]) => String(url).includes("/flags")),
+    ).toHaveLength(0);
+    expect(noticeEvents(calls)).toHaveLength(0);
+  });
+
+  it("does not trigger first-run notice or update_project telemetry", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.updateProject({ decay: true })).rejects.toThrow(
+      DECAY_COPY,
+    );
+
+    const eventNames = calls.map((call) => call.event);
+    expect(eventNames).toContain("mem0.notice_displayed");
+    expect(eventNames).not.toContain("mem0.update_project");
+    expect(
+      noticeEvents(calls).some(
+        (call) => call.properties.notice_id === "first_run",
+      ),
+    ).toBe(false);
+  });
+});
@@ -0,0 +1,526 @@
+/// <reference types="jest" />
+import * as fs from "fs";
+import * as os from "os";
+import * as path from "path";
+
+jest.setTimeout(15000);
+
+jest.mock("../src/embeddings/google", () => ({
+  GoogleEmbedder: jest.fn(),
+}));
+jest.mock("../src/llms/google", () => ({
+  GoogleLLM: jest.fn(),
+}));
+
+const mockEmbedding = new Array(1536).fill(0.1);
+jest.mock("../src/embeddings/openai", () => ({
+  OpenAIEmbedder: jest.fn().mockImplementation(() => ({
+    embed: jest.fn().mockResolvedValue(mockEmbedding),
+    embedBatch: jest
+      .fn()
+      .mockImplementation((texts: string[]) =>
+        Promise.resolve(texts.map(() => mockEmbedding)),
+      ),
+    embeddingDims: 1536,
+  })),
+}));
+
+jest.mock("../src/llms/openai", () => ({
+  OpenAILLM: jest.fn().mockImplementation(() => ({
+    generateResponse: jest.fn(),
+  })),
+}));
+
+const DECAY_USAGE_COPY =
+  "Tip: Python fallback copy with memory.project.update(decay=True).";
+
+function makeTempMem0Dir(): string {
+  return fs.mkdtempSync(path.join(os.tmpdir(), "mem0-node-decay-usage-"));
+}
+
+function configPath(): string {
+  return path.join(process.env.MEM0_DIR as string, "config.json");
+}
+
+function readConfig(): Record<string, any> {
+  const file = configPath();
+  if (!fs.existsSync(file)) return {};
+  return JSON.parse(fs.readFileSync(file, "utf8"));
+}
+
+function writeConfig(config: Record<string, any>) {
+  fs.mkdirSync(path.dirname(configPath()), { recursive: true });
+  fs.writeFileSync(configPath(), JSON.stringify(config, null, 4));
+}
+
+function consumeFirstRun() {
+  writeConfig({
+    user_id: "node-decay-usage-test-user",
+    notice_state: {
+      first_run: {
+        consumed: true,
+        trigger_function: "test_setup",
+        variant: "test",
+      },
+    },
+  });
+}
+
+function decayUsagePayload(overrides: Record<string, any> = {}) {
+  return {
+    notices: {
+      decay_usage: {
+        enabled: true,
+        notice_type: "log_line",
+        copy: DECAY_USAGE_COPY,
+        ...overrides,
+      },
+    },
+  };
+}
+
+function createFetchMock(options: {
+  variant?: string;
+  payload?: unknown;
+  failFlags?: boolean;
+  flagEnabled?: boolean;
+}) {
+  const calls: any[] = [];
+  const fetchMock = jest.fn(async (url: string | URL, init?: RequestInit) => {
+    const target = String(url);
+
+    if (target.includes("/flags")) {
+      if (options.failFlags) {
+        throw new Error("flag evaluation failed");
+      }
+      const payload =
+        options.payload === undefined
+          ? JSON.stringify(decayUsagePayload())
+          : options.payload;
+      return {
+        ok: true,
+        json: jest.fn().mockResolvedValue({
+          flags: {
+            "mem0-oss-notices": {
+              key: "mem0-oss-notices",
+              enabled: options.flagEnabled ?? true,
+              variant: options.variant ?? "displayed",
+              metadata: { payload },
+            },
+          },
+        }),
+      };
+    }
+
+    if (target.includes("/i/v0/e/")) {
+      calls.push(JSON.parse(String(init?.body)));
+      return {
+        ok: true,
+        text: jest.fn().mockResolvedValue(""),
+      };
+    }
+
+    return {
+      ok: true,
+      json: jest.fn().mockResolvedValue({}),
+      text: jest.fn().mockResolvedValue(""),
+    };
+  });
+
+  return { fetchMock, calls };
+}
+
+function noticeEvents(calls: any[]) {
+  return calls.filter((call) => call.event === "mem0.notice_displayed");
+}
+
+function flagRequestCount(fetchMock: jest.Mock) {
+  return fetchMock.mock.calls.filter(([url]) => String(url).includes("/flags"))
+    .length;
+}
+
+async function createMemory() {
+  const { Memory } = await import("../src/memory");
+  return new Memory({
+    version: "v1.1",
+    embedder: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "text-embedding-3-small" },
+    },
+    vectorStore: {
+      provider: "memory",
+      config: {
+        collectionName: `test-decay-usage-${Date.now()}-${Math.random()}`,
+        dimension: 1536,
+        dbPath: ":memory:",
+      },
+    },
+    llm: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "gpt-5-mini" },
+    },
+    historyDbPath: ":memory:",
+  });
+}
+
+async function addMemories(memory: any, userId: string, count: number) {
+  const ids: string[] = [];
+  for (let index = 0; index < count; index++) {
+    const result = await memory.add(`Decay usage memory ${index}`, {
+      userId,
+      infer: false,
+    });
+    ids.push(result.results[0].id);
+  }
+  return ids;
+}
+
+describe("Node OSS decay usage notice", () => {
+  let originalMem0Dir: string | undefined;
+  let originalTelemetry: string | undefined;
+  let originalSampleRate: string | undefined;
+  let originalFetch: typeof global.fetch;
+  let stderrSpy: jest.SpyInstance;
+
+  beforeEach(() => {
+    originalMem0Dir = process.env.MEM0_DIR;
+    originalTelemetry = process.env.MEM0_TELEMETRY;
+    originalSampleRate = process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    originalFetch = global.fetch;
+
+    process.env.MEM0_DIR = makeTempMem0Dir();
+    process.env.MEM0_TELEMETRY = "true";
+    process.env.MEM0_TELEMETRY_SAMPLE_RATE = "1";
+    stderrSpy = jest
+      .spyOn(process.stderr, "write")
+      .mockImplementation(() => true);
+    jest.resetModules();
+  });
+
+  afterEach(() => {
+    if (originalMem0Dir === undefined) delete process.env.MEM0_DIR;
+    else process.env.MEM0_DIR = originalMem0Dir;
+
+    if (originalTelemetry === undefined) delete process.env.MEM0_TELEMETRY;
+    else process.env.MEM0_TELEMETRY = originalTelemetry;
+
+    if (originalSampleRate === undefined) {
+      delete process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    } else {
+      process.env.MEM0_TELEMETRY_SAMPLE_RATE = originalSampleRate;
+    }
+
+    global.fetch = originalFetch;
+    jest.restoreAllMocks();
+    jest.resetModules();
+  });
+
+  it("does not evaluate or write decay state before the 5th successful delete", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    const ids = await addMemories(memory, "decay-delete-user", 4);
+
+    for (const id of ids) {
+      await memory.delete(id);
+    }
+
+    expect(flagRequestCount(fetchMock)).toBe(0);
+    expect(noticeEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.decay_usage).toBeUndefined();
+    expect(stderrSpy).not.toHaveBeenCalledWith(
+      expect.stringContaining(DECAY_USAGE_COPY),
+    );
+  });
+
+  it("evaluates on the 5th successful delete and records delete_count", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    const ids = await addMemories(memory, "decay-delete-user", 5);
+
+    for (const id of ids) {
+      await memory.delete(id);
+    }
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "decay_usage",
+        notice_type: "log_line",
+        flag_key: "mem0-oss-notices",
+        variant: "displayed",
+        displayed: true,
+        payload: DECAY_USAGE_COPY,
+        notice_config_found: true,
+        sync_type: "async",
+        trigger_function: "delete",
+        trigger_source: "delete_count",
+        trigger_reason: "repeated_deletes",
+        delete_count: 5,
+        sample_rate: 1,
+      }),
+    );
+    expect(stderrSpy.mock.calls.flat().join("")).toContain(DECAY_USAGE_COPY);
+    expect(readConfig().notice_state.decay_usage.events).toHaveLength(1);
+  });
+
+  it("does not count or emit when delete fails", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    jest
+      .spyOn(memory as any, "deleteMemory")
+      .mockRejectedValue(new Error("delete failed"));
+
+    await expect(memory.delete("memory-id")).rejects.toThrow("delete failed");
+
+    expect(flagRequestCount(fetchMock)).toBe(0);
+    expect(noticeEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.decay_usage).toBeUndefined();
+  });
+
+  it("evaluates deleteAll after deleting at least one memory", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addMemories(memory, "decay-delete-all-user", 3);
+
+    await memory.deleteAll({ userId: "decay-delete-all-user" });
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "decay_usage",
+        variant: "displayed",
+        displayed: true,
+        payload: DECAY_USAGE_COPY,
+        trigger_function: "delete_all",
+        trigger_source: "delete_all",
+        trigger_reason: "bulk_delete",
+        deleted_count: 3,
+      }),
+    );
+  });
+
+  it("does not evaluate deleteAll when no memories are deleted", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.deleteAll({ userId: "empty-delete-all-user" });
+
+    expect(flagRequestCount(fetchMock)).toBe(0);
+    expect(noticeEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.decay_usage).toBeUndefined();
+  });
+
+  it("does not evaluate when deleteAll fails", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.deleteAll({} as any)).rejects.toThrow(
+      "At least one filter is required",
+    );
+
+    expect(flagRequestCount(fetchMock)).toBe(0);
+    expect(noticeEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.decay_usage).toBeUndefined();
+  });
+
+  it("is silent for holdout and emits displayed=false", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "holdout" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addMemories(memory, "decay-holdout-user", 3);
+
+    await memory.deleteAll({ userId: "decay-holdout-user" });
+
+    expect(stderrSpy).not.toHaveBeenCalledWith(
+      expect.stringContaining(DECAY_USAGE_COPY),
+    );
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "decay_usage",
+        variant: "holdout",
+        displayed: false,
+        bypass_reason: "holdout",
+        trigger_function: "delete_all",
+      }),
+    );
+  });
+
+  it.each([
+    [
+      "disabled payload",
+      JSON.stringify(decayUsagePayload({ enabled: false })),
+      "payload_disabled",
+      "payload_disabled",
+    ],
+    [
+      "missing config",
+      JSON.stringify({ notices: {} }),
+      "missing_notice_config",
+      undefined,
+    ],
+    [
+      "missing copy",
+      JSON.stringify({
+        notices: {
+          decay_usage: { enabled: true, notice_type: "log_line" },
+        },
+      }),
+      "missing_copy",
+      undefined,
+    ],
+    ["malformed payload", "{not-json", "missing_notice_config", undefined],
+  ])(
+    "stays silent and emits safe bypass for %s",
+    async (_label, payload, bypassReason, disabledReason) => {
+      consumeFirstRun();
+      const { fetchMock, calls } = createFetchMock({
+        variant: "displayed",
+        payload,
+      });
+      global.fetch = fetchMock as any;
+      const memory = await createMemory();
+      await addMemories(memory, "decay-bypass-user", 3);
+
+      await memory.deleteAll({ userId: "decay-bypass-user" });
+
+      expect(stderrSpy).not.toHaveBeenCalledWith(
+        expect.stringContaining(DECAY_USAGE_COPY),
+      );
+      const notices = noticeEvents(calls);
+      expect(notices).toHaveLength(1);
+      expect(notices[0].properties).toEqual(
+        expect.objectContaining({
+          notice_id: "decay_usage",
+          displayed: false,
+          bypass_reason: bypassReason,
+          ...(disabledReason && { disabled_reason: disabledReason }),
+        }),
+      );
+    },
+  );
+
+  it("does not emit or consume cap when the blunt flag is disabled", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      flagEnabled: false,
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addMemories(memory, "decay-flag-disabled-user", 3);
+
+    await memory.deleteAll({ userId: "decay-flag-disabled-user" });
+
+    expect(noticeEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.decay_usage).toBeUndefined();
+  });
+
+  it("does not emit or consume cap when PostHog fails", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ failFlags: true });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addMemories(memory, "decay-posthog-failure-user", 3);
+
+    await memory.deleteAll({ userId: "decay-posthog-failure-user" });
+
+    expect(noticeEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.decay_usage).toBeUndefined();
+  });
+
+  it("skips flag evaluation, event emission, and state writes when telemetry is off", async () => {
+    process.env.MEM0_TELEMETRY = "False";
+    jest.resetModules();
+
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addMemories(memory, "decay-telemetry-off-user", 3);
+
+    await memory.deleteAll({ userId: "decay-telemetry-off-user" });
+
+    expect(fetchMock).not.toHaveBeenCalled();
+    expect(noticeEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.decay_usage).toBeUndefined();
+  });
+
+  it("blocks the 11th evaluated opportunity before flag evaluation", async () => {
+    consumeFirstRun();
+    const now = new Date();
+    writeConfig({
+      ...readConfig(),
+      notice_state: {
+        ...readConfig().notice_state,
+        first_run: readConfig().notice_state.first_run,
+        decay_usage: {
+          events: Array.from({ length: 10 }, (_, index) => ({
+            evaluated_at: new Date(now.getTime() - index * 1000).toISOString(),
+            variant: "displayed",
+          })),
+        },
+      },
+    });
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addMemories(memory, "decay-cap-user", 1);
+
+    await memory.deleteAll({ userId: "decay-cap-user" });
+
+    expect(flagRequestCount(fetchMock)).toBe(0);
+    expect(noticeEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state.decay_usage.events).toHaveLength(10);
+  });
+
+  it("does not consume first-run on a qualifying decay usage call", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      payload: JSON.stringify({
+        notices: {
+          first_run: {
+            enabled: true,
+            notice_type: "log_line",
+            copy: "First-run should not appear",
+          },
+          decay_usage: {
+            enabled: true,
+            notice_type: "log_line",
+            copy: DECAY_USAGE_COPY,
+          },
+        },
+      }),
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addMemories(memory, "decay-priority-user", 3);
+    const config = readConfig();
+    delete config.notice_state.first_run;
+    writeConfig(config);
+
+    await memory.deleteAll({ userId: "decay-priority-user" });
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties.notice_id).toBe("decay_usage");
+    expect(readConfig().notice_state.first_run).toBeUndefined();
+    expect(readConfig().notice_state.decay_usage.events).toHaveLength(1);
+  });
+});
@@ -0,0 +1,409 @@
+/// <reference types="jest" />
+import * as fs from "fs";
+import * as os from "os";
+import * as path from "path";
+
+jest.setTimeout(15000);
+
+jest.mock("../src/embeddings/google", () => ({
+  GoogleEmbedder: jest.fn(),
+}));
+jest.mock("../src/llms/google", () => ({
+  GoogleLLM: jest.fn(),
+}));
+
+jest.mock("../src/llms/openai", () => ({
+  OpenAILLM: jest.fn().mockImplementation(() => ({
+    generateResponse: jest.fn().mockResolvedValue(
+      JSON.stringify({
+        memory: [{ id: "0", text: "stored fact", attributed_to: "user" }],
+      }),
+    ),
+  })),
+}));
+
+const mockEmbedding = new Array(1536).fill(0.1);
+jest.mock("../src/embeddings/openai", () => ({
+  OpenAIEmbedder: jest.fn().mockImplementation(() => ({
+    embed: jest.fn().mockResolvedValue(mockEmbedding),
+    embedBatch: jest
+      .fn()
+      .mockImplementation((texts: string[]) =>
+        Promise.resolve(texts.map(() => mockEmbedding)),
+      ),
+    embeddingDims: 1536,
+  })),
+}));
+
+const FIRST_RUN_COPY = "First-run CTA from PostHog";
+
+function makeTempMem0Dir(): string {
+  return fs.mkdtempSync(path.join(os.tmpdir(), "mem0-node-first-run-"));
+}
+
+function firstRunPayload(overrides: Record<string, any> = {}) {
+  return {
+    notices: {
+      first_run: {
+        enabled: true,
+        notice_type: "log_line",
+        copy: FIRST_RUN_COPY,
+        ...overrides,
+      },
+    },
+  };
+}
+
+function createFetchMock(options: {
+  variant?: string;
+  payload?: Record<string, any>;
+  failFlags?: boolean;
+}) {
+  const calls: any[] = [];
+  const fetchMock = jest.fn(async (url: string | URL, init?: RequestInit) => {
+    const target = String(url);
+
+    if (target.includes("/flags")) {
+      if (options.failFlags) {
+        throw new Error("flag evaluation failed");
+      }
+      return {
+        ok: true,
+        json: jest.fn().mockResolvedValue({
+          flags: {
+            "mem0-oss-notices": {
+              key: "mem0-oss-notices",
+              enabled: true,
+              variant: options.variant ?? "displayed",
+              metadata: {
+                payload: JSON.stringify(options.payload ?? firstRunPayload()),
+              },
+            },
+          },
+        }),
+      };
+    }
+
+    if (target.includes("/i/v0/e/")) {
+      calls.push(JSON.parse(String(init?.body)));
+      return {
+        ok: true,
+        text: jest.fn().mockResolvedValue(""),
+      };
+    }
+
+    return {
+      ok: true,
+      json: jest.fn().mockResolvedValue({}),
+      text: jest.fn().mockResolvedValue(""),
+    };
+  });
+
+  return { fetchMock, calls };
+}
+
+function noticeEvents(calls: any[]) {
+  return calls.filter((call) => call.event === "mem0.notice_displayed");
+}
+
+async function createMemory() {
+  const { Memory } = await import("../src/memory");
+  return new Memory({
+    version: "v1.1",
+    embedder: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "text-embedding-3-small" },
+    },
+    vectorStore: {
+      provider: "memory",
+      config: {
+        collectionName: `test-first-run-${Date.now()}-${Math.random()}`,
+        dimension: 1536,
+        dbPath: ":memory:",
+      },
+    },
+    llm: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "gpt-5-mini" },
+    },
+    historyDbPath: ":memory:",
+  });
+}
+
+describe("Node OSS first-run notice", () => {
+  let originalMem0Dir: string | undefined;
+  let originalTelemetry: string | undefined;
+  let originalSampleRate: string | undefined;
+  let originalFetch: typeof global.fetch;
+  let stderrSpy: jest.SpyInstance;
+
+  beforeEach(() => {
+    originalMem0Dir = process.env.MEM0_DIR;
+    originalTelemetry = process.env.MEM0_TELEMETRY;
+    originalSampleRate = process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    originalFetch = global.fetch;
+
+    process.env.MEM0_DIR = makeTempMem0Dir();
+    process.env.MEM0_TELEMETRY = "true";
+    process.env.MEM0_TELEMETRY_SAMPLE_RATE = "1";
+    stderrSpy = jest
+      .spyOn(process.stderr, "write")
+      .mockImplementation(() => true);
+    jest.resetModules();
+  });
+
+  afterEach(() => {
+    if (originalMem0Dir === undefined) delete process.env.MEM0_DIR;
+    else process.env.MEM0_DIR = originalMem0Dir;
+
+    if (originalTelemetry === undefined) delete process.env.MEM0_TELEMETRY;
+    else process.env.MEM0_TELEMETRY = originalTelemetry;
+
+    if (originalSampleRate === undefined) {
+      delete process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    } else {
+      process.env.MEM0_TELEMETRY_SAMPLE_RATE = originalSampleRate;
+    }
+
+    global.fetch = originalFetch;
+    jest.restoreAllMocks();
+    jest.resetModules();
+  });
+
+  it("shows the displayed first-run copy once after a successful public call", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Direct storage content", {
+      userId: "first-run-user",
+      infer: false,
+    });
+    await memory.add("Second direct storage content", {
+      userId: "first-run-user",
+      infer: false,
+    });
+
+    const stderrOutput = stderrSpy.mock.calls.flat().join("");
+    expect(stderrOutput.match(new RegExp(FIRST_RUN_COPY, "g"))).toHaveLength(1);
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "first_run",
+        notice_type: "log_line",
+        flag_key: "mem0-oss-notices",
+        variant: "displayed",
+        displayed: true,
+        payload: FIRST_RUN_COPY,
+        notice_config_found: true,
+        sync_type: "async",
+        trigger_function: "add",
+        sample_rate: 1,
+      }),
+    );
+
+    const { __noticeTestHooks } = await import("../src/utils/notices");
+    const config = __noticeTestHooks.loadMem0Config();
+    expect(config.notice_state.first_run).toEqual(
+      expect.objectContaining({
+        consumed: true,
+        trigger_function: "add",
+        variant: "displayed",
+      }),
+    );
+  });
+
+  it("treats missing enabled as enabled, matching Python payload semantics", async () => {
+    const payload = firstRunPayload();
+    delete (payload.notices.first_run as Record<string, any>).enabled;
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      payload,
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Missing enabled payload content", {
+      userId: "first-run-missing-enabled",
+      infer: false,
+    });
+
+    const stderrOutput = stderrSpy.mock.calls.flat().join("");
+    expect(stderrOutput).toContain(FIRST_RUN_COPY);
+    expect(noticeEvents(calls)[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "first_run",
+        displayed: true,
+        payload: FIRST_RUN_COPY,
+      }),
+    );
+  });
+
+  it("is silent for holdout but still emits and consumes the opportunity", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "holdout" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Holdout content", {
+      userId: "first-run-holdout",
+      infer: false,
+    });
+
+    expect(stderrSpy).not.toHaveBeenCalledWith(
+      expect.stringContaining(FIRST_RUN_COPY),
+    );
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "first_run",
+        variant: "holdout",
+        displayed: false,
+        bypass_reason: "holdout",
+        notice_config_found: true,
+      }),
+    );
+  });
+
+  it("is silent for disabled payloads and records a safe bypass", async () => {
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      payload: firstRunPayload({ enabled: false }),
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Disabled payload content", {
+      userId: "first-run-disabled",
+      infer: false,
+    });
+
+    const stderrOutput = stderrSpy.mock.calls.flat().join("");
+    expect(stderrOutput).not.toContain(FIRST_RUN_COPY);
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "first_run",
+        displayed: false,
+        bypass_reason: "payload_disabled",
+        disabled_reason: "payload_disabled",
+        notice_config_found: true,
+      }),
+    );
+  });
+
+  it("lets the payload disabled kill switch take precedence over holdout", async () => {
+    const { fetchMock, calls } = createFetchMock({
+      variant: "holdout",
+      payload: firstRunPayload({ enabled: false }),
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Disabled holdout payload content", {
+      userId: "first-run-disabled-holdout",
+      infer: false,
+    });
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "first_run",
+        variant: "holdout",
+        displayed: false,
+        bypass_reason: "payload_disabled",
+        disabled_reason: "payload_disabled",
+        notice_config_found: true,
+      }),
+    );
+  });
+
+  it("does not evaluate flags, emit, or write state when telemetry is off", async () => {
+    process.env.MEM0_TELEMETRY = "false";
+    jest.resetModules();
+
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Telemetry off content", {
+      userId: "first-run-off",
+      infer: false,
+    });
+
+    expect(fetchMock).not.toHaveBeenCalled();
+    expect(noticeEvents(calls)).toHaveLength(0);
+    const { __noticeTestHooks } = await import("../src/utils/notices");
+    expect(__noticeTestHooks.loadMem0Config().notice_state).toBeUndefined();
+  });
+
+  it("does not export internal notice test hooks from the public OSS entrypoint", async () => {
+    const publicOssEntry = await import("../src");
+
+    expect(publicOssEntry).not.toHaveProperty("__noticeTestHooks");
+  });
+
+  it("treats uppercase False as telemetry off", async () => {
+    process.env.MEM0_TELEMETRY = "False";
+    jest.resetModules();
+
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Uppercase telemetry off content", {
+      userId: "first-run-off-uppercase",
+      infer: false,
+    });
+
+    expect(fetchMock).not.toHaveBeenCalled();
+    expect(noticeEvents(calls)).toHaveLength(0);
+    const { __noticeTestHooks } = await import("../src/utils/notices");
+    expect(__noticeTestHooks.loadMem0Config().notice_state).toBeUndefined();
+  });
+
+  it("does not run after a failed public call", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.add("Missing owner", {} as any)).rejects.toThrow(
+      "One of the filters: userId, agentId or runId is required!",
+    );
+
+    expect(
+      fetchMock.mock.calls.filter(([url]) => String(url).includes("/flags")),
+    ).toHaveLength(0);
+    expect(noticeEvents(calls)).toHaveLength(0);
+  });
+
+  it("does not break the successful operation when flag evaluation fails", async () => {
+    const { fetchMock, calls } = createFetchMock({ failFlags: true });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    const result = await memory.add("Flag failure content", {
+      userId: "first-run-failure",
+      infer: false,
+    });
+
+    expect(result.results).toHaveLength(1);
+    expect(noticeEvents(calls)).toHaveLength(0);
+  });
+
+  it("can trigger from get() when get is the first successful public call", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(memory.get("missing-memory-id")).resolves.toBeNull();
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties.trigger_function).toBe("get");
+  });
+});
@@ -0,0 +1,227 @@
+/// <reference types="jest" />
+import * as fs from "fs";
+import * as os from "os";
+import * as path from "path";
+import type { TelemetryInstance } from "../src/utils/telemetry.types";
+
+function makeTempMem0Dir(): string {
+  return fs.mkdtempSync(path.join(os.tmpdir(), "mem0-node-notices-"));
+}
+
+function makeInstance(
+  overrides: Partial<TelemetryInstance> = {},
+): TelemetryInstance {
+  return {
+    telemetryId: "notice-test-user",
+    constructor: { name: "Memory" },
+    host: "https://test.example.com",
+    ...overrides,
+  };
+}
+
+describe("Node OSS notice foundation", () => {
+  let originalMem0Dir: string | undefined;
+  let originalTelemetry: string | undefined;
+  let originalFetch: typeof global.fetch;
+
+  beforeEach(() => {
+    originalMem0Dir = process.env.MEM0_DIR;
+    originalTelemetry = process.env.MEM0_TELEMETRY;
+    originalFetch = global.fetch;
+    process.env.MEM0_DIR = makeTempMem0Dir();
+    process.env.MEM0_TELEMETRY = "true";
+    jest.resetModules();
+  });
+
+  afterEach(() => {
+    if (originalMem0Dir === undefined) delete process.env.MEM0_DIR;
+    else process.env.MEM0_DIR = originalMem0Dir;
+
+    if (originalTelemetry === undefined) delete process.env.MEM0_TELEMETRY;
+    else process.env.MEM0_TELEMETRY = originalTelemetry;
+
+    global.fetch = originalFetch;
+    jest.restoreAllMocks();
+    jest.resetModules();
+  });
+
+  it("writes notice state into isolated MEM0_DIR config and preserves user_id", async () => {
+    const notices = await import("../src/utils/notices");
+    const configPath = notices.getMem0ConfigPath();
+
+    fs.mkdirSync(path.dirname(configPath), { recursive: true });
+    fs.writeFileSync(configPath, JSON.stringify({ user_id: "existing-user" }));
+
+    expect(
+      notices.recordNoticeOpportunity("foundation_notice", {
+        variant: "displayed",
+      }),
+    ).toBe(true);
+
+    const config = JSON.parse(fs.readFileSync(configPath, "utf8"));
+    expect(config.user_id).toBe("existing-user");
+    expect(config.notice_state.foundation_notice.events).toHaveLength(1);
+  });
+
+  it("writes config through a temp-file path and leaves no temp file behind", async () => {
+    const notices = await import("../src/utils/notices");
+
+    expect(notices.writeMem0ConfigAtomic({ user_id: "atomic-user" })).toBe(
+      true,
+    );
+
+    const configDir = path.dirname(notices.getMem0ConfigPath());
+    const tempFiles = fs
+      .readdirSync(configDir)
+      .filter((name) => name.endsWith(".tmp"));
+    expect(tempFiles).toHaveLength(0);
+    expect(notices.loadMem0Config().user_id).toBe("atomic-user");
+  });
+
+  it("allows 10 evaluated opportunities in a rolling window and blocks the 11th", async () => {
+    const notices = await import("../src/utils/notices");
+    const now = new Date("2026-06-11T12:00:00.000Z");
+    let state: Record<string, any> = {};
+
+    for (let i = 0; i < 10; i++) {
+      const nextState = notices.appendNoticeCapEvent(
+        state,
+        { variant: "displayed", index: i },
+        { now: new Date(now.getTime() + i) },
+      );
+      expect(nextState).not.toBeNull();
+      state = nextState!;
+    }
+
+    expect(notices.hasNoticeCapRoom(state, { now })).toBe(false);
+    expect(
+      notices.appendNoticeCapEvent(state, { variant: "displayed" }, { now }),
+    ).toBeNull();
+  });
+
+  it("drops old cap events outside the rolling window", async () => {
+    const notices = await import("../src/utils/notices");
+    const oldEvent = {
+      evaluated_at: "2026-06-01T00:00:00.000Z",
+      variant: "displayed",
+    };
+    const now = new Date("2026-06-11T12:00:00.000Z");
+
+    expect(notices.hasNoticeCapRoom({ events: [oldEvent] }, { now })).toBe(
+      true,
+    );
+    const nextState = notices.appendNoticeCapEvent(
+      { events: [oldEvent] },
+      { variant: "displayed" },
+      { now },
+    );
+    expect(nextState?.events).toHaveLength(1);
+  });
+
+  it("does not evaluate flags or write notice state when telemetry is off", async () => {
+    process.env.MEM0_TELEMETRY = "false";
+    jest.resetModules();
+
+    const fetchMock = jest.fn();
+    global.fetch = fetchMock as any;
+    const notices = await import("../src/utils/notices");
+
+    await expect(
+      notices.evaluateNoticeFlag("notice-test-user", { fetchImpl: fetchMock }),
+    ).resolves.toBeNull();
+    expect(fetchMock).not.toHaveBeenCalled();
+    expect(
+      notices.recordNoticeOpportunity("foundation_notice", {
+        variant: "displayed",
+      }),
+    ).toBe(false);
+    expect(fs.existsSync(notices.getMem0ConfigPath())).toBe(false);
+  });
+
+  it("returns null when PostHog flag evaluation fails", async () => {
+    const notices = await import("../src/utils/notices");
+    const fetchMock = jest.fn().mockRejectedValue(new Error("network down"));
+
+    await expect(
+      notices.evaluateNoticeFlag("notice-test-user", { fetchImpl: fetchMock }),
+    ).resolves.toBeNull();
+  });
+
+  it("returns null when PostHog flag evaluation times out", async () => {
+    const notices = await import("../src/utils/notices");
+    const fetchMock = jest.fn(
+      (_url: string | URL | Request, init?: RequestInit) =>
+        new Promise((_resolve, reject) => {
+          init?.signal?.addEventListener("abort", () => {
+            reject(new Error("aborted"));
+          });
+        }),
+    );
+
+    await expect(
+      notices.evaluateNoticeFlag("notice-test-user", {
+        fetchImpl: fetchMock as any,
+        timeoutMs: 1,
+      }),
+    ).resolves.toBeNull();
+  });
+
+  it("parses displayed variant and JSON payload from PostHog flags response", async () => {
+    const notices = await import("../src/utils/notices");
+    const payload = {
+      notices: {
+        foundation_notice: {
+          enabled: true,
+          notice_type: "log_line",
+          copy: "Foundation notice",
+        },
+      },
+    };
+    const fetchMock = jest.fn().mockResolvedValue({
+      ok: true,
+      json: jest.fn().mockResolvedValue({
+        flags: {
+          "mem0-oss-notices": {
+            key: "mem0-oss-notices",
+            enabled: true,
+            variant: "displayed",
+            metadata: { payload: JSON.stringify(payload) },
+          },
+        },
+      }),
+    });
+
+    const result = await notices.evaluateNoticeFlag("notice-test-user", {
+      fetchImpl: fetchMock,
+    });
+    expect(result?.variant).toBe("displayed");
+    const parsed = notices.getNoticeConfigFromPayload(
+      result?.payload,
+      "foundation_notice",
+    );
+    expect(parsed.found).toBe(true);
+    expect(parsed.config?.copy).toBe("Foundation notice");
+  });
+
+  it("emits mem0.notice_displayed with sample_rate=1", async () => {
+    const fetchMock = jest.fn().mockResolvedValue({
+      ok: true,
+      text: jest.fn().mockResolvedValue(""),
+    });
+    global.fetch = fetchMock as any;
+    const notices = await import("../src/utils/notices");
+
+    await notices.emitNoticeDisplayed(makeInstance(), {
+      notice_id: "foundation_notice",
+      notice_type: "log_line",
+      flag_key: "mem0-oss-notices",
+      variant: "displayed",
+      displayed: true,
+    });
+
+    const body = JSON.parse(fetchMock.mock.calls[0][1].body);
+    expect(body.event).toBe("mem0.notice_displayed");
+    expect(body.properties.sample_rate).toBe(1);
+    expect(body.properties.notice_id).toBe("foundation_notice");
+  });
+});
@@ -0,0 +1,492 @@
+/// <reference types="jest" />
+import * as fs from "fs";
+import * as os from "os";
+import * as path from "path";
+
+jest.setTimeout(15000);
+
+jest.mock("../src/embeddings/google", () => ({
+  GoogleEmbedder: jest.fn(),
+}));
+jest.mock("../src/llms/google", () => ({
+  GoogleLLM: jest.fn(),
+}));
+
+const mockEmbedding = new Array(1536).fill(0.1);
+jest.mock("../src/embeddings/openai", () => ({
+  OpenAIEmbedder: jest.fn().mockImplementation(() => ({
+    embed: jest.fn().mockResolvedValue(mockEmbedding),
+    embedBatch: jest
+      .fn()
+      .mockImplementation((texts: string[]) =>
+        Promise.resolve(texts.map(() => mockEmbedding)),
+      ),
+    embeddingDims: 1536,
+  })),
+}));
+
+jest.mock("../src/llms/openai", () => ({
+  OpenAILLM: jest.fn().mockImplementation(() => ({
+    generateResponse: jest.fn(),
+  })),
+}));
+
+const PERFORMANCE_COPY =
+  "Mem0 Platform is optimized for this type of workload. Its retrieval benchmarked at ~0.8-1.09s p50 across LoCoMo, LongMemEval, and BEAM 1M/10M workloads; you can use it for free by getting an API key at: https://app.mem0.ai";
+
+function makeTempMem0Dir(): string {
+  return fs.mkdtempSync(path.join(os.tmpdir(), "mem0-node-performance-"));
+}
+
+function configPath(): string {
+  return path.join(process.env.MEM0_DIR as string, "config.json");
+}
+
+function readConfig(): Record<string, any> {
+  const file = configPath();
+  if (!fs.existsSync(file)) return {};
+  return JSON.parse(fs.readFileSync(file, "utf8"));
+}
+
+function writeConfig(config: Record<string, any>) {
+  fs.mkdirSync(path.dirname(configPath()), { recursive: true });
+  fs.writeFileSync(configPath(), JSON.stringify(config, null, 4));
+}
+
+function consumeFirstRun() {
+  writeConfig({
+    user_id: "node-performance-test-user",
+    notice_state: {
+      first_run: {
+        consumed: true,
+        trigger_function: "test_setup",
+        variant: "test",
+      },
+    },
+  });
+}
+
+function performancePayload(overrides: Record<string, any> = {}) {
+  return {
+    notices: {
+      performance_slow_query: {
+        enabled: true,
+        notice_type: "log_line",
+        copy: PERFORMANCE_COPY,
+        ...overrides,
+      },
+    },
+  };
+}
+
+function createFetchMock(options: {
+  variant?: string;
+  payload?: unknown;
+  failFlags?: boolean;
+  flagEnabled?: boolean;
+}) {
+  const calls: any[] = [];
+  const fetchMock = jest.fn(async (url: string | URL, init?: RequestInit) => {
+    const target = String(url);
+
+    if (target.includes("/flags")) {
+      if (options.failFlags) {
+        throw new Error("flag evaluation failed");
+      }
+      const payload =
+        options.payload === undefined
+          ? JSON.stringify(performancePayload())
+          : options.payload;
+      return {
+        ok: true,
+        json: jest.fn().mockResolvedValue({
+          flags: {
+            "mem0-oss-notices": {
+              key: "mem0-oss-notices",
+              enabled: options.flagEnabled ?? true,
+              variant: options.variant ?? "displayed",
+              metadata: { payload },
+            },
+          },
+        }),
+      };
+    }
+
+    if (target.includes("/i/v0/e/")) {
+      calls.push(JSON.parse(String(init?.body)));
+      return {
+        ok: true,
+        text: jest.fn().mockResolvedValue(""),
+      };
+    }
+
+    return {
+      ok: true,
+      json: jest.fn().mockResolvedValue({}),
+      text: jest.fn().mockResolvedValue(""),
+    };
+  });
+
+  return { fetchMock, calls };
+}
+
+function noticeEvents(calls: any[]) {
+  return calls.filter((call) => call.event === "mem0.notice_displayed");
+}
+
+function performanceEvents(calls: any[]) {
+  return noticeEvents(calls).filter(
+    (call) => call.properties.notice_id === "performance_slow_query",
+  );
+}
+
+function flagRequestCount(fetchMock: jest.Mock) {
+  return fetchMock.mock.calls.filter(([url]) => String(url).includes("/flags"))
+    .length;
+}
+
+function mockSearchElapsed(elapsedMs: number) {
+  let now = 1000;
+  jest.spyOn(Date, "now").mockImplementation(() => {
+    const current = now;
+    now += elapsedMs;
+    return current;
+  });
+}
+
+async function createMemory() {
+  const { Memory } = await import("../src/memory");
+  return new Memory({
+    version: "v1.1",
+    embedder: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "text-embedding-3-small" },
+    },
+    vectorStore: {
+      provider: "memory",
+      config: {
+        collectionName: `test-performance-${Date.now()}-${Math.random()}`,
+        dimension: 1536,
+        dbPath: ":memory:",
+      },
+    },
+    llm: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "gpt-5-mini" },
+    },
+    historyDbPath: ":memory:",
+  });
+}
+
+async function addSeed(memory: any, userId = "performance-user") {
+  await memory.add("The user's favorite drink is green tea.", {
+    userId,
+    infer: false,
+  });
+}
+
+describe("Node OSS performance slow query notice", () => {
+  let originalMem0Dir: string | undefined;
+  let originalTelemetry: string | undefined;
+  let originalSampleRate: string | undefined;
+  let originalFetch: typeof global.fetch;
+  let stderrSpy: jest.SpyInstance;
+
+  beforeEach(() => {
+    originalMem0Dir = process.env.MEM0_DIR;
+    originalTelemetry = process.env.MEM0_TELEMETRY;
+    originalSampleRate = process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    originalFetch = global.fetch;
+
+    process.env.MEM0_DIR = makeTempMem0Dir();
+    process.env.MEM0_TELEMETRY = "true";
+    process.env.MEM0_TELEMETRY_SAMPLE_RATE = "1";
+    stderrSpy = jest
+      .spyOn(process.stderr, "write")
+      .mockImplementation(() => true);
+    jest.resetModules();
+  });
+
+  afterEach(() => {
+    if (originalMem0Dir === undefined) delete process.env.MEM0_DIR;
+    else process.env.MEM0_DIR = originalMem0Dir;
+
+    if (originalTelemetry === undefined) delete process.env.MEM0_TELEMETRY;
+    else process.env.MEM0_TELEMETRY = originalTelemetry;
+
+    if (originalSampleRate === undefined) {
+      delete process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    } else {
+      process.env.MEM0_TELEMETRY_SAMPLE_RATE = originalSampleRate;
+    }
+
+    global.fetch = originalFetch;
+    jest.restoreAllMocks();
+    jest.resetModules();
+  });
+
+  it("displays and emits safe fields after a slow successful search", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSeed(memory);
+    stderrSpy.mockClear();
+    mockSearchElapsed(2345);
+
+    const result = await memory.search("favorite drink private text", {
+      filters: { user_id: "performance-user" },
+      topK: 3,
+    });
+
+    expect(result.results.length).toBeGreaterThan(0);
+    expect(stderrSpy).toHaveBeenCalledWith(`${PERFORMANCE_COPY}\n`);
+    const event = performanceEvents(calls)[0];
+    expect(event.properties).toEqual(
+      expect.objectContaining({
+        notice_id: "performance_slow_query",
+        notice_type: "log_line",
+        flag_key: "mem0-oss-notices",
+        variant: "displayed",
+        displayed: true,
+        payload: PERFORMANCE_COPY,
+        notice_config_found: true,
+        sync_type: "async",
+        trigger_function: "search",
+        trigger_reason: "slow_query",
+        elapsed_ms: 2345,
+        threshold_ms: 2000,
+        top_k: 3,
+        result_count: result.results.length,
+        sample_rate: 1,
+      }),
+    );
+    const serialized = JSON.stringify(event.properties);
+    expect(serialized).not.toContain("private text");
+    expect(serialized).not.toContain("performance-user");
+  });
+
+  it("is silent for holdout and emits displayed=false", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "holdout" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSeed(memory);
+    stderrSpy.mockClear();
+    mockSearchElapsed(2345);
+
+    await memory.search("favorite drink", {
+      filters: { user_id: "performance-user" },
+      topK: 3,
+    });
+
+    expect(stderrSpy).not.toHaveBeenCalled();
+    expect(performanceEvents(calls)[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "performance_slow_query",
+        variant: "holdout",
+        displayed: false,
+        bypass_reason: "holdout",
+      }),
+    );
+  });
+
+  it.each([
+    [
+      "disabled payload",
+      JSON.stringify(performancePayload({ enabled: false })),
+      "payload_disabled",
+    ],
+    [
+      "missing config",
+      JSON.stringify({ notices: {} }),
+      "missing_notice_config",
+    ],
+    [
+      "missing copy",
+      JSON.stringify(performancePayload({ copy: "" })),
+      "missing_copy",
+    ],
+    ["malformed payload", "{not-json", "missing_notice_config"],
+  ])("is silent and safe for %s", async (_label, payload, bypassReason) => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      payload,
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSeed(memory);
+    stderrSpy.mockClear();
+    mockSearchElapsed(2345);
+
+    await memory.search("favorite drink", {
+      filters: { user_id: "performance-user" },
+      topK: 3,
+    });
+
+    expect(stderrSpy).not.toHaveBeenCalled();
+    expect(performanceEvents(calls)[0].properties).toEqual(
+      expect.objectContaining({
+        displayed: false,
+        bypass_reason: bypassReason,
+      }),
+    );
+  });
+
+  it("does not evaluate fast searches", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSeed(memory);
+    mockSearchElapsed(100);
+
+    await memory.search("favorite drink", {
+      filters: { user_id: "performance-user" },
+      topK: 3,
+    });
+
+    expect(flagRequestCount(fetchMock)).toBe(0);
+    expect(performanceEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.performance_slow_query).toBeUndefined();
+  });
+
+  it("does not evaluate failed searches", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    mockSearchElapsed(2345);
+
+    await expect(
+      memory.search("private slow query", {
+        filters: {},
+        topK: 3,
+      }),
+    ).rejects.toThrow("filters must contain");
+
+    expect(flagRequestCount(fetchMock)).toBe(0);
+    expect(performanceEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.performance_slow_query).toBeUndefined();
+  });
+
+  it("does not consume cap or emit when the blunt flag is disabled", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      flagEnabled: false,
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSeed(memory);
+    mockSearchElapsed(2345);
+
+    await memory.search("favorite drink", {
+      filters: { user_id: "performance-user" },
+      topK: 3,
+    });
+
+    expect(performanceEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.performance_slow_query).toBeUndefined();
+  });
+
+  it("does not consume cap or emit when PostHog fails", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ failFlags: true });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSeed(memory);
+    mockSearchElapsed(2345);
+
+    await memory.search("favorite drink", {
+      filters: { user_id: "performance-user" },
+      topK: 3,
+    });
+
+    expect(performanceEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.performance_slow_query).toBeUndefined();
+  });
+
+  it("does nothing when telemetry is off", async () => {
+    process.env.MEM0_TELEMETRY = "false";
+    jest.resetModules();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSeed(memory);
+    mockSearchElapsed(2345);
+
+    await memory.search("favorite drink", {
+      filters: { user_id: "performance-user" },
+      topK: 3,
+    });
+
+    expect(fetchMock).not.toHaveBeenCalled();
+    expect(performanceEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state).toBeUndefined();
+  });
+
+  it("caps evaluated opportunities at 10 per rolling week", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSeed(memory);
+    stderrSpy.mockClear();
+    mockSearchElapsed(2345);
+
+    for (let index = 1; index <= 11; index++) {
+      await memory.search(`favorite drink ${index}`, {
+        filters: { user_id: "performance-user" },
+        topK: 3,
+      });
+    }
+
+    expect(performanceEvents(calls)).toHaveLength(10);
+    expect(flagRequestCount(fetchMock)).toBe(10);
+    expect(stderrSpy).toHaveBeenCalledTimes(10);
+    expect(
+      readConfig().notice_state.performance_slow_query.events,
+    ).toHaveLength(10);
+  });
+
+  it("lets temporal usage and scale threshold take priority", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSeed(memory);
+    mockSearchElapsed(2345);
+
+    await memory.search("what happened last week?", {
+      filters: { user_id: "performance-user" },
+      topK: 3,
+    });
+    await memory.search("favorite drink", {
+      filters: { user_id: "performance-user" },
+      topK: 50,
+    });
+
+    expect(performanceEvents(calls)).toHaveLength(0);
+    const noticeIds = noticeEvents(calls).map(
+      (call) => call.properties.notice_id,
+    );
+    expect(noticeIds).toEqual(["temporal_usage", "scale_threshold"]);
+  });
+
+  it("does not consume first-run on the same qualifying performance call", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    mockSearchElapsed(2345);
+
+    await memory.search("favorite drink", {
+      filters: { user_id: "performance-user" },
+      topK: 3,
+    });
+
+    expect(performanceEvents(calls)).toHaveLength(1);
+    expect(readConfig().notice_state.first_run).toBeUndefined();
+  });
+});
@@ -0,0 +1,463 @@
+/// <reference types="jest" />
+import * as fs from "fs";
+import * as os from "os";
+import * as path from "path";
+
+jest.setTimeout(15000);
+
+jest.mock("../src/embeddings/google", () => ({
+  GoogleEmbedder: jest.fn(),
+}));
+jest.mock("../src/llms/google", () => ({
+  GoogleLLM: jest.fn(),
+}));
+
+const mockEmbedding = new Array(1536).fill(0.1);
+jest.mock("../src/embeddings/openai", () => ({
+  OpenAIEmbedder: jest.fn().mockImplementation(() => ({
+    embed: jest.fn().mockResolvedValue(mockEmbedding),
+    embedBatch: jest
+      .fn()
+      .mockImplementation((texts: string[]) =>
+        Promise.resolve(texts.map(() => mockEmbedding)),
+      ),
+    embeddingDims: 1536,
+  })),
+}));
+
+jest.mock("../src/llms/openai", () => ({
+  OpenAILLM: jest.fn().mockImplementation(() => ({
+    generateResponse: jest.fn(),
+  })),
+}));
+
+const SCALE_TOP_K_COPY = "Scale top {top_k}";
+const SCALE_MEMORY_COUNT_COPY = "Scale count {memory_count}";
+
+function makeTempMem0Dir(): string {
+  return fs.mkdtempSync(path.join(os.tmpdir(), "mem0-node-scale-"));
+}
+
+function configPath(): string {
+  return path.join(process.env.MEM0_DIR as string, "config.json");
+}
+
+function readConfig(): Record<string, any> {
+  const file = configPath();
+  if (!fs.existsSync(file)) return {};
+  return JSON.parse(fs.readFileSync(file, "utf8"));
+}
+
+function writeConfig(config: Record<string, any>) {
+  fs.mkdirSync(path.dirname(configPath()), { recursive: true });
+  fs.writeFileSync(configPath(), JSON.stringify(config, null, 4));
+}
+
+function consumeFirstRun(scaleState: Record<string, any> = {}) {
+  writeConfig({
+    user_id: "node-scale-test-user",
+    notice_state: {
+      first_run: {
+        consumed: true,
+        trigger_function: "test_setup",
+        variant: "test",
+      },
+      ...(Object.keys(scaleState).length > 0 && {
+        scale_threshold: scaleState,
+      }),
+    },
+  });
+}
+
+function scalePayload(overrides: Record<string, any> = {}) {
+  return {
+    notices: {
+      scale_threshold: {
+        enabled: true,
+        notice_type: "log_line",
+        copies: {
+          top_k: SCALE_TOP_K_COPY,
+          memory_count: SCALE_MEMORY_COUNT_COPY,
+        },
+        ...overrides,
+      },
+    },
+  };
+}
+
+function createFetchMock(options: {
+  variant?: string;
+  payload?: unknown;
+  failFlags?: boolean;
+  flagEnabled?: boolean;
+}) {
+  const calls: any[] = [];
+  const fetchMock = jest.fn(async (url: string | URL, init?: RequestInit) => {
+    const target = String(url);
+
+    if (target.includes("/flags")) {
+      if (options.failFlags) {
+        throw new Error("flag evaluation failed");
+      }
+      const payload =
+        options.payload === undefined
+          ? JSON.stringify(scalePayload())
+          : options.payload;
+      return {
+        ok: true,
+        json: jest.fn().mockResolvedValue({
+          flags: {
+            "mem0-oss-notices": {
+              key: "mem0-oss-notices",
+              enabled: options.flagEnabled ?? true,
+              variant: options.variant ?? "displayed",
+              metadata: { payload },
+            },
+          },
+        }),
+      };
+    }
+
+    if (target.includes("/i/v0/e/")) {
+      calls.push(JSON.parse(String(init?.body)));
+      return {
+        ok: true,
+        text: jest.fn().mockResolvedValue(""),
+      };
+    }
+
+    return {
+      ok: true,
+      json: jest.fn().mockResolvedValue({}),
+      text: jest.fn().mockResolvedValue(""),
+    };
+  });
+
+  return { fetchMock, calls };
+}
+
+function noticeEvents(calls: any[]) {
+  return calls.filter((call) => call.event === "mem0.notice_displayed");
+}
+
+function scaleEvents(calls: any[]) {
+  return noticeEvents(calls).filter(
+    (call) => call.properties.notice_id === "scale_threshold",
+  );
+}
+
+function flagRequestCount(fetchMock: jest.Mock) {
+  return fetchMock.mock.calls.filter(([url]) => String(url).includes("/flags"))
+    .length;
+}
+
+async function createMemory() {
+  const { Memory } = await import("../src/memory");
+  return new Memory({
+    version: "v1.1",
+    embedder: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "text-embedding-3-small" },
+    },
+    vectorStore: {
+      provider: "memory",
+      config: {
+        collectionName: `test-scale-${Date.now()}-${Math.random()}`,
+        dimension: 1536,
+        dbPath: ":memory:",
+      },
+    },
+    llm: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "gpt-5-mini" },
+    },
+    historyDbPath: ":memory:",
+  });
+}
+
+async function addSeed(memory: any, userId = "scale-user") {
+  await memory.add("The user's favorite drink is green tea.", {
+    userId,
+    infer: false,
+  });
+}
+
+describe("Node OSS scale threshold notice", () => {
+  let originalMem0Dir: string | undefined;
+  let originalTelemetry: string | undefined;
+  let originalSampleRate: string | undefined;
+  let originalFetch: typeof global.fetch;
+  let stderrSpy: jest.SpyInstance;
+
+  beforeEach(() => {
+    originalMem0Dir = process.env.MEM0_DIR;
+    originalTelemetry = process.env.MEM0_TELEMETRY;
+    originalSampleRate = process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    originalFetch = global.fetch;
+
+    process.env.MEM0_DIR = makeTempMem0Dir();
+    process.env.MEM0_TELEMETRY = "true";
+    process.env.MEM0_TELEMETRY_SAMPLE_RATE = "1";
+    stderrSpy = jest
+      .spyOn(process.stderr, "write")
+      .mockImplementation(() => true);
+    jest.resetModules();
+  });
+
+  afterEach(() => {
+    if (originalMem0Dir === undefined) delete process.env.MEM0_DIR;
+    else process.env.MEM0_DIR = originalMem0Dir;
+
+    if (originalTelemetry === undefined) delete process.env.MEM0_TELEMETRY;
+    else process.env.MEM0_TELEMETRY = originalTelemetry;
+
+    if (originalSampleRate === undefined) {
+      delete process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    } else {
+      process.env.MEM0_TELEMETRY_SAMPLE_RATE = originalSampleRate;
+    }
+
+    global.fetch = originalFetch;
+    jest.restoreAllMocks();
+    jest.resetModules();
+  });
+
+  it("detects high topK after successful search", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await addSeed(memory);
+    stderrSpy.mockClear();
+    const result = await memory.search("favorite drink private text", {
+      filters: { user_id: "scale-user" },
+      topK: 50,
+    });
+
+    expect(result.results.length).toBeGreaterThan(0);
+    expect(stderrSpy).toHaveBeenCalledWith("Scale top 50\n");
+    const event = scaleEvents(calls)[0];
+    expect(event.properties).toMatchObject({
+      notice_id: "scale_threshold",
+      displayed: true,
+      trigger_function: "search",
+      trigger_source: "top_k",
+      trigger_reason: "high_top_k",
+      top_k: 50,
+      threshold: 50,
+      sample_rate: 1,
+    });
+    expect(JSON.stringify(event.properties)).not.toContain("private text");
+  });
+
+  it("detects high topK after successful getAll", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await addSeed(memory);
+    stderrSpy.mockClear();
+    const result = await memory.getAll({
+      filters: { user_id: "scale-user" },
+      topK: 50,
+    });
+
+    expect(result.results.length).toBeGreaterThan(0);
+    expect(stderrSpy).toHaveBeenCalledWith("Scale top 50\n");
+    const event = scaleEvents(calls)[0];
+    expect(event.properties).toMatchObject({
+      notice_id: "scale_threshold",
+      displayed: true,
+      trigger_function: "get_all",
+      trigger_source: "top_k",
+      trigger_reason: "high_top_k",
+      top_k: 50,
+      threshold: 50,
+    });
+  });
+
+  it("does not evaluate topK below the threshold", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await addSeed(memory);
+    await memory.search("favorite drink", {
+      filters: { user_id: "scale-user" },
+      topK: 49,
+    });
+
+    expect(flagRequestCount(fetchMock)).toBe(0);
+    expect(scaleEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.scale_threshold).toBeUndefined();
+  });
+
+  it("marks memory-count threshold evaluated before PostHog display", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ failFlags: true });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    (memory as any).vectorStore.count = jest
+      .fn()
+      .mockResolvedValue({ count: 2000 });
+
+    await memory.add("Scale count threshold fixture.", {
+      userId: "scale-user",
+      infer: false,
+    });
+
+    expect((memory as any).vectorStore.count).toHaveBeenCalledTimes(1);
+    expect(
+      readConfig().notice_state.scale_threshold
+        .memory_count_threshold_evaluated,
+    ).toBe(true);
+    expect(scaleEvents(calls)).toHaveLength(0);
+  });
+
+  it("does not count provider memories once threshold was evaluated", async () => {
+    consumeFirstRun({ memory_count_threshold_evaluated: true });
+    const { fetchMock } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    (memory as any).vectorStore.count = jest
+      .fn()
+      .mockResolvedValue({ count: 2000 });
+
+    await memory.add("Scale count already evaluated fixture.", {
+      userId: "scale-user",
+      infer: false,
+    });
+
+    expect((memory as any).vectorStore.count).not.toHaveBeenCalled();
+    expect(flagRequestCount(fetchMock)).toBe(0);
+  });
+
+  it("throttles under-threshold provider counts", async () => {
+    consumeFirstRun();
+    const { fetchMock } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    (memory as any).vectorStore.count = jest
+      .fn()
+      .mockResolvedValue({ count: 1999 });
+
+    await memory.add("Scale count under threshold one.", {
+      userId: "scale-user",
+      infer: false,
+    });
+    await memory.add("Scale count under threshold two.", {
+      userId: "scale-user",
+      infer: false,
+    });
+
+    expect((memory as any).vectorStore.count).toHaveBeenCalledTimes(1);
+    expect(flagRequestCount(fetchMock)).toBe(0);
+  });
+
+  it("records holdout and disabled variants silently", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({
+      variant: "holdout",
+      payload: JSON.stringify(scalePayload({ enabled: false })),
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await addSeed(memory);
+    stderrSpy.mockClear();
+    await memory.search("favorite drink", {
+      filters: { user_id: "scale-user" },
+      topK: 50,
+    });
+
+    expect(stderrSpy).not.toHaveBeenCalled();
+    const event = scaleEvents(calls)[0];
+    expect(event.properties).toMatchObject({
+      displayed: false,
+      bypass_reason: "payload_disabled",
+      disabled_reason: "payload_disabled",
+      variant: "holdout",
+    });
+  });
+
+  it("treats missing enabled as enabled for scale payloads", async () => {
+    consumeFirstRun();
+    const payload = scalePayload();
+    delete (payload.notices.scale_threshold as Record<string, any>).enabled;
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      payload: JSON.stringify(payload),
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await addSeed(memory);
+    stderrSpy.mockClear();
+    await memory.search("favorite drink", {
+      filters: { user_id: "scale-user" },
+      topK: 50,
+    });
+
+    expect(stderrSpy.mock.calls.flat().join("")).toContain("Scale top 50");
+    expect(scaleEvents(calls)[0].properties).toMatchObject({
+      notice_id: "scale_threshold",
+      displayed: true,
+      payload: "Scale top 50",
+    });
+  });
+
+  it("caps evaluated scale opportunities at 10 per week", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await addSeed(memory);
+    stderrSpy.mockClear();
+    for (let index = 0; index < 11; index++) {
+      await memory.search(`favorite drink ${index}`, {
+        filters: { user_id: "scale-user" },
+        topK: 50,
+      });
+    }
+
+    expect(scaleEvents(calls)).toHaveLength(10);
+    expect(flagRequestCount(fetchMock)).toBe(10);
+    expect(stderrSpy).toHaveBeenCalledTimes(10);
+    expect(readConfig().notice_state.scale_threshold.events).toHaveLength(10);
+  });
+
+  it("does not consume first-run on the same qualifying scale call", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.getAll({
+      filters: { user_id: "scale-user" },
+      topK: 50,
+    });
+
+    expect(scaleEvents(calls)).toHaveLength(1);
+    expect(readConfig().notice_state?.first_run).toBeUndefined();
+  });
+
+  it("telemetry off skips flag evaluation, event emission, and state writes", async () => {
+    process.env.MEM0_TELEMETRY = "false";
+    jest.resetModules();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.getAll({
+      filters: { user_id: "scale-user" },
+      topK: 50,
+    });
+
+    expect(flagRequestCount(fetchMock)).toBe(0);
+    expect(scaleEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state).toBeUndefined();
+  });
+});
@@ -0,0 +1,516 @@
+/// <reference types="jest" />
+import * as fs from "fs";
+import * as os from "os";
+import * as path from "path";
+
+jest.setTimeout(15000);
+
+jest.mock("../src/embeddings/google", () => ({
+  GoogleEmbedder: jest.fn(),
+}));
+jest.mock("../src/llms/google", () => ({
+  GoogleLLM: jest.fn(),
+}));
+
+const mockEmbedding = new Array(1536).fill(0.1);
+const mockEmbed = jest.fn().mockResolvedValue(mockEmbedding);
+const mockEmbedBatch = jest
+  .fn()
+  .mockImplementation((texts: string[]) =>
+    Promise.resolve(texts.map(() => mockEmbedding)),
+  );
+
+jest.mock("../src/embeddings/openai", () => ({
+  OpenAIEmbedder: jest.fn().mockImplementation(() => ({
+    embed: mockEmbed,
+    embedBatch: mockEmbedBatch,
+    embeddingDims: 1536,
+  })),
+}));
+
+const mockGenerateResponse = jest.fn();
+jest.mock("../src/llms/openai", () => ({
+  OpenAILLM: jest.fn().mockImplementation(() => ({
+    generateResponse: mockGenerateResponse,
+  })),
+}));
+
+const TEMPORAL_COPY =
+  "Temporal reasoning requires a Mem0 API key. Get one for free at https://app.mem0.ai";
+const PLAIN_TIMESTAMP_ERROR =
+  "The timestamp parameter is not supported by the OSS Memory SDK.";
+const PLAIN_REFERENCE_DATE_ERROR =
+  "The referenceDate parameter is not supported by the OSS Memory SDK.";
+
+function makeTempMem0Dir(): string {
+  return fs.mkdtempSync(path.join(os.tmpdir(), "mem0-node-temporal-feature-"));
+}
+
+function temporalPayload(overrides: Record<string, any> = {}) {
+  return {
+    notices: {
+      temporal_stub: {
+        enabled: true,
+        notice_type: "error",
+        copy: TEMPORAL_COPY,
+        ...overrides,
+      },
+    },
+  };
+}
+
+function createFetchMock(options: {
+  variant?: string;
+  payload?: unknown;
+  failFlags?: boolean;
+  flagEnabled?: boolean;
+}) {
+  const calls: any[] = [];
+  const fetchMock = jest.fn(async (url: string | URL, init?: RequestInit) => {
+    const target = String(url);
+
+    if (target.includes("/flags")) {
+      if (options.failFlags) {
+        throw new Error("flag evaluation failed");
+      }
+      return {
+        ok: true,
+        json: jest.fn().mockResolvedValue({
+          flags: {
+            "mem0-oss-notices": {
+              key: "mem0-oss-notices",
+              enabled: options.flagEnabled ?? true,
+              variant: options.variant ?? "displayed",
+              metadata: {
+                payload:
+                  options.payload === undefined
+                    ? JSON.stringify(temporalPayload())
+                    : options.payload,
+              },
+            },
+          },
+        }),
+      };
+    }
+
+    if (target.includes("/i/v0/e/")) {
+      calls.push(JSON.parse(String(init?.body)));
+      return {
+        ok: true,
+        text: jest.fn().mockResolvedValue(""),
+      };
+    }
+
+    return {
+      ok: true,
+      json: jest.fn().mockResolvedValue({}),
+      text: jest.fn().mockResolvedValue(""),
+    };
+  });
+
+  return { fetchMock, calls };
+}
+
+function noticeEvents(calls: any[]) {
+  return calls.filter((call) => call.event === "mem0.notice_displayed");
+}
+
+async function createMemory() {
+  const { Memory } = await import("../src/memory");
+  return new Memory({
+    version: "v1.1",
+    embedder: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "text-embedding-3-small" },
+    },
+    vectorStore: {
+      provider: "memory",
+      config: {
+        collectionName: `test-temporal-feature-${Date.now()}-${Math.random()}`,
+        dimension: 1536,
+        dbPath: ":memory:",
+      },
+    },
+    llm: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "gpt-5-mini" },
+    },
+    historyDbPath: ":memory:",
+  });
+}
+
+describe("Node OSS temporal feature error notice", () => {
+  let originalMem0Dir: string | undefined;
+  let originalTelemetry: string | undefined;
+  let originalSampleRate: string | undefined;
+  let originalFetch: typeof global.fetch;
+
+  beforeEach(() => {
+    originalMem0Dir = process.env.MEM0_DIR;
+    originalTelemetry = process.env.MEM0_TELEMETRY;
+    originalSampleRate = process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    originalFetch = global.fetch;
+
+    process.env.MEM0_DIR = makeTempMem0Dir();
+    process.env.MEM0_TELEMETRY = "true";
+    process.env.MEM0_TELEMETRY_SAMPLE_RATE = "1";
+    mockEmbed.mockClear();
+    mockEmbedBatch.mockClear();
+    mockGenerateResponse.mockClear();
+    jest.resetModules();
+  });
+
+  afterEach(() => {
+    if (originalMem0Dir === undefined) delete process.env.MEM0_DIR;
+    else process.env.MEM0_DIR = originalMem0Dir;
+
+    if (originalTelemetry === undefined) delete process.env.MEM0_TELEMETRY;
+    else process.env.MEM0_TELEMETRY = originalTelemetry;
+
+    if (originalSampleRate === undefined) {
+      delete process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    } else {
+      process.env.MEM0_TELEMETRY_SAMPLE_RATE = originalSampleRate;
+    }
+
+    global.fetch = originalFetch;
+    jest.restoreAllMocks();
+    jest.resetModules();
+  });
+
+  it.each([
+    ["add", "timestamp"],
+    ["search", "referenceDate"],
+  ])(
+    "raises CTA copy for displayed %s(%s) and emits displayed=true",
+    async (triggerFunction, triggerParameter) => {
+      const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+      global.fetch = fetchMock as any;
+      const memory = await createMemory();
+
+      if (triggerFunction === "add") {
+        await expect(
+          memory.add("Temporal add", {
+            userId: "temporal-user",
+            timestamp: 1778112000,
+          }),
+        ).rejects.toThrow(TEMPORAL_COPY);
+      } else {
+        await expect(
+          memory.search("Temporal search", {
+            filters: { user_id: "temporal-user" },
+            referenceDate: "2026-05-06",
+          }),
+        ).rejects.toThrow(TEMPORAL_COPY);
+      }
+
+      const notices = noticeEvents(calls);
+      expect(notices).toHaveLength(1);
+      expect(notices[0].properties).toEqual(
+        expect.objectContaining({
+          notice_id: "temporal_stub",
+          notice_type: "error",
+          flag_key: "mem0-oss-notices",
+          variant: "displayed",
+          displayed: true,
+          payload: TEMPORAL_COPY,
+          notice_config_found: true,
+          sync_type: "async",
+          trigger_function: triggerFunction,
+          trigger_parameter: triggerParameter,
+          sample_rate: 1,
+        }),
+      );
+    },
+  );
+
+  it.each([
+    ["add", "timestamp"],
+    ["search", "referenceDate"],
+  ])(
+    "raises CTA copy for holdout %s(%s) and emits displayed=true",
+    async (triggerFunction, triggerParameter) => {
+      const { fetchMock, calls } = createFetchMock({ variant: "holdout" });
+      global.fetch = fetchMock as any;
+      const memory = await createMemory();
+
+      if (triggerFunction === "add") {
+        await expect(
+          memory.add("Temporal add", {
+            userId: "temporal-user",
+            timestamp: null,
+          }),
+        ).rejects.toThrow(TEMPORAL_COPY);
+      } else {
+        await expect(
+          memory.search("Temporal search", {
+            filters: { user_id: "temporal-user" },
+            referenceDate: null,
+          }),
+        ).rejects.toThrow(TEMPORAL_COPY);
+      }
+
+      const notices = noticeEvents(calls);
+      expect(notices).toHaveLength(1);
+      expect(notices[0].properties).toEqual(
+        expect.objectContaining({
+          notice_id: "temporal_stub",
+          variant: "holdout",
+          displayed: true,
+          trigger_function: triggerFunction,
+          trigger_parameter: triggerParameter,
+        }),
+      );
+      expect(notices[0].properties.bypass_reason).toBeUndefined();
+    },
+  );
+
+  it("uses plain error for unknown future variants and emits not_displayed", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "silent" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(
+      memory.add("Temporal add", {
+        userId: "temporal-user",
+        timestamp: 1778112000,
+      }),
+    ).rejects.toThrow(PLAIN_TIMESTAMP_ERROR);
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "temporal_stub",
+        variant: "silent",
+        displayed: false,
+        bypass_reason: "not_displayed",
+        payload: TEMPORAL_COPY,
+      }),
+    );
+  });
+
+  it("treats missing enabled as enabled for feature-error payloads", async () => {
+    const payload = temporalPayload();
+    delete (payload.notices.temporal_stub as Record<string, any>).enabled;
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      payload: JSON.stringify(payload),
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(
+      memory.add("Temporal add", {
+        userId: "temporal-user",
+        timestamp: 1778112000,
+      }),
+    ).rejects.toThrow(TEMPORAL_COPY);
+
+    expect(noticeEvents(calls)[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "temporal_stub",
+        displayed: true,
+        payload: TEMPORAL_COPY,
+      }),
+    );
+  });
+
+  it("uses timestamp plain error for disabled payload and emits payload_disabled", async () => {
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      payload: JSON.stringify(temporalPayload({ enabled: false })),
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(
+      memory.add("Temporal add", {
+        userId: "temporal-user",
+        timestamp: 1778112000,
+      }),
+    ).rejects.toThrow(PLAIN_TIMESTAMP_ERROR);
+
+    const notices = noticeEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "temporal_stub",
+        displayed: false,
+        bypass_reason: "payload_disabled",
+        disabled_reason: "payload_disabled",
+        notice_config_found: true,
+        trigger_function: "add",
+        trigger_parameter: "timestamp",
+      }),
+    );
+  });
+
+  it.each([
+    [
+      "missing config",
+      JSON.stringify({ notices: {} }),
+      "missing_notice_config",
+    ],
+    [
+      "missing copy",
+      JSON.stringify(temporalPayload({ copy: "" })),
+      "missing_copy",
+    ],
+    ["malformed payload", "{not-json", "missing_notice_config"],
+  ])(
+    "uses referenceDate plain error for %s",
+    async (_label, payload, bypassReason) => {
+      const { fetchMock, calls } = createFetchMock({
+        variant: "displayed",
+        payload,
+      });
+      global.fetch = fetchMock as any;
+      const memory = await createMemory();
+
+      await expect(
+        memory.search("Temporal search", {
+          filters: { user_id: "temporal-user" },
+          referenceDate: "2026-05-06",
+        }),
+      ).rejects.toThrow(PLAIN_REFERENCE_DATE_ERROR);
+
+      const notices = noticeEvents(calls);
+      expect(notices).toHaveLength(1);
+      expect(notices[0].properties).toEqual(
+        expect.objectContaining({
+          notice_id: "temporal_stub",
+          displayed: false,
+          bypass_reason: bypassReason,
+          trigger_function: "search",
+          trigger_parameter: "referenceDate",
+        }),
+      );
+    },
+  );
+
+  it("uses plain error and emits no event when the blunt flag is disabled", async () => {
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      flagEnabled: false,
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(
+      memory.add("Temporal add", {
+        userId: "temporal-user",
+        timestamp: 1778112000,
+      }),
+    ).rejects.toThrow(PLAIN_TIMESTAMP_ERROR);
+
+    expect(noticeEvents(calls)).toHaveLength(0);
+  });
+
+  it("uses plain error and emits no event when PostHog fails", async () => {
+    const { fetchMock, calls } = createFetchMock({ failFlags: true });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(
+      memory.search("Temporal search", {
+        filters: { user_id: "temporal-user" },
+        referenceDate: "2026-05-06",
+      }),
+    ).rejects.toThrow(PLAIN_REFERENCE_DATE_ERROR);
+
+    expect(noticeEvents(calls)).toHaveLength(0);
+  });
+
+  it("uses plain error and skips flag evaluation when telemetry is off", async () => {
+    process.env.MEM0_TELEMETRY = "False";
+    jest.resetModules();
+
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(
+      memory.add("Temporal add", {
+        userId: "temporal-user",
+        timestamp: 1778112000,
+      }),
+    ).rejects.toThrow(PLAIN_TIMESTAMP_ERROR);
+
+    expect(fetchMock).not.toHaveBeenCalled();
+    expect(noticeEvents(calls)).toHaveLength(0);
+  });
+
+  it("throws before add validation, normal telemetry, embeddings, and first-run", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    const addToVectorStoreSpy = jest.spyOn(memory as any, "addToVectorStore");
+
+    await expect(
+      memory.add(
+        undefined as any,
+        {
+          timestamp: 1778112000,
+        } as any,
+      ),
+    ).rejects.toThrow(TEMPORAL_COPY);
+
+    expect(mockEmbed).not.toHaveBeenCalled();
+    expect(addToVectorStoreSpy).not.toHaveBeenCalled();
+    expect(calls.map((call) => call.event)).not.toContain("mem0.add");
+    expect(
+      noticeEvents(calls).some(
+        (call) => call.properties.notice_id === "first_run",
+      ),
+    ).toBe(false);
+  });
+
+  it("throws before search validation, normal telemetry, embeddings, and first-run", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(
+      memory.search("Temporal search", {
+        userId: "invalid-top-level-user",
+        referenceDate: "2026-05-06",
+      } as any),
+    ).rejects.toThrow(TEMPORAL_COPY);
+
+    expect(mockEmbed).not.toHaveBeenCalled();
+    expect(calls.map((call) => call.event)).not.toContain("mem0.search");
+    expect(
+      noticeEvents(calls).some(
+        (call) => call.properties.notice_id === "first_run",
+      ),
+    ).toBe(false);
+  });
+
+  it("leaves normal add/search calls unchanged when temporal options are omitted", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "holdout" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    const addResult = await memory.add("Normal add", {
+      userId: "normal-user",
+      infer: false,
+    });
+    expect(addResult.results).toHaveLength(1);
+
+    const searchResult = await memory.search("Normal add", {
+      filters: { user_id: "normal-user" },
+      topK: 3,
+    });
+    expect(searchResult.results.length).toBeGreaterThanOrEqual(0);
+
+    const eventNames = calls.map((call) => call.event);
+    expect(eventNames).toContain("mem0.add");
+    expect(eventNames).toContain("mem0.search");
+    expect(
+      noticeEvents(calls).some(
+        (call) => call.properties.notice_id === "temporal_stub",
+      ),
+    ).toBe(false);
+  });
+});
@@ -0,0 +1,594 @@
+/// <reference types="jest" />
+import * as fs from "fs";
+import * as os from "os";
+import * as path from "path";
+
+jest.setTimeout(15000);
+
+jest.mock("../src/embeddings/google", () => ({
+  GoogleEmbedder: jest.fn(),
+}));
+jest.mock("../src/llms/google", () => ({
+  GoogleLLM: jest.fn(),
+}));
+
+const mockEmbedding = new Array(1536).fill(0.1);
+jest.mock("../src/embeddings/openai", () => ({
+  OpenAIEmbedder: jest.fn().mockImplementation(() => ({
+    embed: jest.fn().mockResolvedValue(mockEmbedding),
+    embedBatch: jest
+      .fn()
+      .mockImplementation((texts: string[]) =>
+        Promise.resolve(texts.map(() => mockEmbedding)),
+      ),
+    embeddingDims: 1536,
+  })),
+}));
+
+jest.mock("../src/llms/openai", () => ({
+  OpenAILLM: jest.fn().mockImplementation(() => ({
+    generateResponse: jest.fn(),
+  })),
+}));
+
+const TEMPORAL_USAGE_COPY =
+  "This looks like a time-aware memory workflow. Mem0 Platform has temporal reasoning built in. Use `timestamp` when adding memories and `reference_date` when searching.";
+
+function makeTempMem0Dir(): string {
+  return fs.mkdtempSync(path.join(os.tmpdir(), "mem0-node-temporal-usage-"));
+}
+
+function configPath(): string {
+  return path.join(process.env.MEM0_DIR as string, "config.json");
+}
+
+function readConfig(): Record<string, any> {
+  const file = configPath();
+  if (!fs.existsSync(file)) return {};
+  return JSON.parse(fs.readFileSync(file, "utf8"));
+}
+
+function writeConfig(config: Record<string, any>) {
+  fs.mkdirSync(path.dirname(configPath()), { recursive: true });
+  fs.writeFileSync(configPath(), JSON.stringify(config, null, 4));
+}
+
+function consumeFirstRun() {
+  writeConfig({
+    user_id: "node-temporal-usage-test-user",
+    notice_state: {
+      first_run: {
+        consumed: true,
+        trigger_function: "test_setup",
+        variant: "test",
+      },
+    },
+  });
+}
+
+function temporalUsagePayload(overrides: Record<string, any> = {}) {
+  return {
+    notices: {
+      temporal_usage: {
+        enabled: true,
+        notice_type: "log_line",
+        copy: TEMPORAL_USAGE_COPY,
+        ...overrides,
+      },
+    },
+  };
+}
+
+function createFetchMock(options: {
+  variant?: string;
+  payload?: unknown;
+  failFlags?: boolean;
+  flagEnabled?: boolean;
+}) {
+  const calls: any[] = [];
+  const fetchMock = jest.fn(async (url: string | URL, init?: RequestInit) => {
+    const target = String(url);
+
+    if (target.includes("/flags")) {
+      if (options.failFlags) {
+        throw new Error("flag evaluation failed");
+      }
+      const payload =
+        options.payload === undefined
+          ? JSON.stringify(temporalUsagePayload())
+          : options.payload;
+      return {
+        ok: true,
+        json: jest.fn().mockResolvedValue({
+          flags: {
+            "mem0-oss-notices": {
+              key: "mem0-oss-notices",
+              enabled: options.flagEnabled ?? true,
+              variant: options.variant ?? "displayed",
+              metadata: { payload },
+            },
+          },
+        }),
+      };
+    }
+
+    if (target.includes("/i/v0/e/")) {
+      calls.push(JSON.parse(String(init?.body)));
+      return {
+        ok: true,
+        text: jest.fn().mockResolvedValue(""),
+      };
+    }
+
+    return {
+      ok: true,
+      json: jest.fn().mockResolvedValue({}),
+      text: jest.fn().mockResolvedValue(""),
+    };
+  });
+
+  return { fetchMock, calls };
+}
+
+function noticeEvents(calls: any[]) {
+  return calls.filter((call) => call.event === "mem0.notice_displayed");
+}
+
+function temporalUsageEvents(calls: any[]) {
+  return noticeEvents(calls).filter(
+    (call) => call.properties.notice_id === "temporal_usage",
+  );
+}
+
+function flagRequestCount(fetchMock: jest.Mock) {
+  return fetchMock.mock.calls.filter(([url]) => String(url).includes("/flags"))
+    .length;
+}
+
+async function createMemory() {
+  const { Memory } = await import("../src/memory");
+  return new Memory({
+    version: "v1.1",
+    embedder: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "text-embedding-3-small" },
+    },
+    vectorStore: {
+      provider: "memory",
+      config: {
+        collectionName: `test-temporal-usage-${Date.now()}-${Math.random()}`,
+        dimension: 1536,
+        dbPath: ":memory:",
+      },
+    },
+    llm: {
+      provider: "openai",
+      config: { apiKey: "test-key", model: "gpt-5-mini" },
+    },
+    historyDbPath: ":memory:",
+  });
+}
+
+async function addSearchSeed(memory: any, userId = "temporal-user") {
+  await memory.add("The user's favorite drink is green tea.", {
+    userId,
+    infer: false,
+  });
+}
+
+describe("Node OSS temporal usage notice", () => {
+  let originalMem0Dir: string | undefined;
+  let originalTelemetry: string | undefined;
+  let originalSampleRate: string | undefined;
+  let originalFetch: typeof global.fetch;
+  let stderrSpy: jest.SpyInstance;
+
+  beforeEach(() => {
+    originalMem0Dir = process.env.MEM0_DIR;
+    originalTelemetry = process.env.MEM0_TELEMETRY;
+    originalSampleRate = process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    originalFetch = global.fetch;
+
+    process.env.MEM0_DIR = makeTempMem0Dir();
+    process.env.MEM0_TELEMETRY = "true";
+    process.env.MEM0_TELEMETRY_SAMPLE_RATE = "1";
+    stderrSpy = jest
+      .spyOn(process.stderr, "write")
+      .mockImplementation(() => true);
+    jest.resetModules();
+  });
+
+  afterEach(() => {
+    if (originalMem0Dir === undefined) delete process.env.MEM0_DIR;
+    else process.env.MEM0_DIR = originalMem0Dir;
+
+    if (originalTelemetry === undefined) delete process.env.MEM0_TELEMETRY;
+    else process.env.MEM0_TELEMETRY = originalTelemetry;
+
+    if (originalSampleRate === undefined) {
+      delete process.env.MEM0_TELEMETRY_SAMPLE_RATE;
+    } else {
+      process.env.MEM0_TELEMETRY_SAMPLE_RATE = originalSampleRate;
+    }
+
+    global.fetch = originalFetch;
+    jest.restoreAllMocks();
+    jest.resetModules();
+  });
+
+  it("detects timestamp-like metadata after successful add", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    const result = await memory.add("Temporal metadata memory", {
+      userId: "temporal-user",
+      infer: false,
+      metadata: { event_date: "2025-04-09" },
+    });
+
+    expect(result.results).toHaveLength(1);
+    expect(stderrSpy).toHaveBeenCalledWith(`${TEMPORAL_USAGE_COPY}\n`);
+    const notices = temporalUsageEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "temporal_usage",
+        notice_type: "log_line",
+        flag_key: "mem0-oss-notices",
+        variant: "displayed",
+        displayed: true,
+        payload: TEMPORAL_USAGE_COPY,
+        notice_config_found: true,
+        sync_type: "async",
+        trigger_function: "add",
+        trigger_source: "metadata",
+        trigger_reason: "date_like_metadata",
+        sample_rate: 1,
+      }),
+    );
+    expect(readConfig().notice_state.temporal_usage.events).toHaveLength(1);
+  });
+
+  it("emits query trigger fields after successful search", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSearchSeed(memory);
+
+    await memory.search("what happened last week?", {
+      filters: { user_id: "temporal-user" },
+      topK: 3,
+    });
+
+    const notices = temporalUsageEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "temporal_usage",
+        displayed: true,
+        trigger_function: "search",
+        trigger_source: "query",
+        trigger_reason: "relative_phrase",
+      }),
+    );
+  });
+
+  it("detects temporal range filters after successful search", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSearchSeed(memory);
+
+    await memory.search("favorite drink", {
+      filters: {
+        user_id: "temporal-user",
+        AND: [{ created_at: { gte: "2025-04-01" } }],
+      },
+      topK: 3,
+    });
+
+    const notices = temporalUsageEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "temporal_usage",
+        displayed: true,
+        trigger_function: "search",
+        trigger_source: "filter",
+        trigger_reason: "date_range_filter",
+      }),
+    );
+  });
+
+  it("does not evaluate for normal non-temporal add/search calls", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Normal memory", {
+      userId: "normal-user",
+      infer: false,
+      metadata: { category: "planning" },
+    });
+    await memory.search("favorite drink", {
+      filters: { user_id: "normal-user" },
+      topK: 3,
+    });
+
+    expect(flagRequestCount(fetchMock)).toBe(0);
+    expect(temporalUsageEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.temporal_usage).toBeUndefined();
+  });
+
+  it("does not evaluate when add/search fail", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await expect(
+      memory.add("Invalid temporal metadata add", {
+        infer: false,
+        metadata: { event_date: "2025-04-09" },
+      } as any),
+    ).rejects.toThrow("One of the filters");
+    await expect(
+      memory.search("what happened last week?", {
+        filters: {},
+      }),
+    ).rejects.toThrow("filters must contain");
+
+    expect(temporalUsageEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.temporal_usage).toBeUndefined();
+  });
+
+  it("is silent for holdout and emits displayed=false", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "holdout" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Temporal metadata memory", {
+      userId: "temporal-user",
+      infer: false,
+      metadata: { event_date: "2025-04-09" },
+    });
+
+    expect(stderrSpy).not.toHaveBeenCalled();
+    const notices = temporalUsageEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "temporal_usage",
+        variant: "holdout",
+        displayed: false,
+        bypass_reason: "holdout",
+        trigger_source: "metadata",
+        trigger_reason: "date_like_metadata",
+      }),
+    );
+  });
+
+  it.each([
+    [
+      "disabled payload",
+      JSON.stringify(temporalUsagePayload({ enabled: false })),
+      "payload_disabled",
+    ],
+    [
+      "missing config",
+      JSON.stringify({ notices: {} }),
+      "missing_notice_config",
+    ],
+    [
+      "missing copy",
+      JSON.stringify(temporalUsagePayload({ copy: "" })),
+      "missing_copy",
+    ],
+    ["malformed payload", "{not-json", "missing_notice_config"],
+  ])("is silent and safe for %s", async (_label, payload, bypassReason) => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      payload,
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Temporal metadata memory", {
+      userId: "temporal-user",
+      infer: false,
+      metadata: { event_date: "2025-04-09" },
+    });
+
+    expect(stderrSpy).not.toHaveBeenCalled();
+    const notices = temporalUsageEvents(calls);
+    expect(notices).toHaveLength(1);
+    expect(notices[0].properties).toEqual(
+      expect.objectContaining({
+        notice_id: "temporal_usage",
+        displayed: false,
+        bypass_reason: bypassReason,
+      }),
+    );
+  });
+
+  it("does not consume cap or emit when the blunt flag is disabled", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({
+      variant: "displayed",
+      flagEnabled: false,
+    });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Temporal metadata memory", {
+      userId: "temporal-user",
+      infer: false,
+      metadata: { event_date: "2025-04-09" },
+    });
+
+    expect(temporalUsageEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.temporal_usage).toBeUndefined();
+  });
+
+  it("does not consume cap or emit when PostHog fails", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ failFlags: true });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Temporal metadata memory", {
+      userId: "temporal-user",
+      infer: false,
+      metadata: { event_date: "2025-04-09" },
+    });
+
+    expect(temporalUsageEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state?.temporal_usage).toBeUndefined();
+  });
+
+  it("does nothing when telemetry is off", async () => {
+    process.env.MEM0_TELEMETRY = "False";
+    jest.resetModules();
+
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Temporal metadata memory", {
+      userId: "temporal-user",
+      infer: false,
+      metadata: { event_date: "2025-04-09" },
+    });
+
+    expect(fetchMock).not.toHaveBeenCalled();
+    expect(temporalUsageEvents(calls)).toHaveLength(0);
+    expect(readConfig().notice_state).toBeUndefined();
+  });
+
+  it("caps evaluated opportunities at 10 per rolling week", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSearchSeed(memory);
+
+    for (let index = 1; index <= 11; index++) {
+      await memory.search(`what happened last week ${index}?`, {
+        filters: { user_id: "temporal-user" },
+        topK: 3,
+      });
+    }
+
+    expect(temporalUsageEvents(calls)).toHaveLength(10);
+    expect(flagRequestCount(fetchMock)).toBe(10);
+    expect(readConfig().notice_state.temporal_usage.events).toHaveLength(10);
+    expect(stderrSpy).toHaveBeenCalledTimes(10);
+  });
+
+  it("does not consume first-run on the same qualifying temporal usage call", async () => {
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+
+    await memory.add("Temporal metadata memory", {
+      userId: "temporal-user",
+      infer: false,
+      metadata: { event_date: "2025-04-09" },
+    });
+
+    expect(readConfig().notice_state.first_run).toBeUndefined();
+    await memory.add("Normal follow-up memory", {
+      userId: "temporal-user",
+      infer: false,
+    });
+
+    const notices = noticeEvents(calls);
+    expect(notices.map((call) => call.properties.notice_id)).toEqual([
+      "temporal_usage",
+      "first_run",
+    ]);
+    expect(readConfig().notice_state.first_run.consumed).toBe(true);
+  });
+
+  it("does not include raw query, metadata, or filter values in telemetry props", async () => {
+    consumeFirstRun();
+    const { fetchMock, calls } = createFetchMock({ variant: "displayed" });
+    global.fetch = fetchMock as any;
+    const memory = await createMemory();
+    await addSearchSeed(memory);
+
+    await memory.search("private trip since 2025-04-09", {
+      filters: {
+        user_id: "temporal-user",
+        created_at: { gte: "2025-04-09" },
+      },
+      topK: 3,
+    });
+
+    const props = temporalUsageEvents(calls)[0].properties;
+    const serialized = JSON.stringify(props);
+    expect(serialized).not.toContain("private trip");
+    expect(serialized).not.toContain("2025-04-09");
+    expect(serialized).not.toContain("temporal-user");
+  });
+
+  it("detects expected query, metadata, and filter cases conservatively", async () => {
+    const { __noticeTestHooks } = await import("../src/utils/notices");
+
+    expect(
+      __noticeTestHooks.detectTemporalUsageFromSearch("notes from today", null),
+    ).toEqual({ triggerSource: "query", triggerReason: "relative_phrase" });
+    expect(
+      __noticeTestHooks.detectTemporalUsageFromSearch(
+        "notes from 2025-04-09",
+        null,
+      ),
+    ).toEqual({ triggerSource: "query", triggerReason: "date_like_query" });
+    expect(
+      __noticeTestHooks.detectTemporalUsageFromMetadata({
+        event_date: "2025-04-09",
+      }),
+    ).toEqual({
+      triggerSource: "metadata",
+      triggerReason: "date_like_metadata",
+    });
+    expect(
+      __noticeTestHooks.detectTemporalUsageFromSearch("favorite drink", {
+        AND: [{ created_at: { gte: "2025-04-01" } }],
+      }),
+    ).toEqual({ triggerSource: "filter", triggerReason: "date_range_filter" });
+    expect(
+      __noticeTestHooks.detectTemporalUsageFromSearch("favorite drink", null),
+    ).toBeNull();
+    expect(
+      __noticeTestHooks.detectTemporalUsageFromMetadata({
+        category: "planning",
+      }),
+    ).toBeNull();
+  });
+
+  it("detectors never raise for cyclic metadata or filters", async () => {
+    const { __noticeTestHooks } = await import("../src/utils/notices");
+    const metadata: Record<string, any> = {};
+    metadata.self = metadata;
+    const filters: Record<string, any> = {};
+    filters.AND = [filters];
+
+    expect(
+      __noticeTestHooks.detectTemporalUsageFromMetadata(metadata),
+    ).toBeNull();
+    expect(
+      __noticeTestHooks.detectTemporalUsageFromSearch(
+        "favorite drink",
+        filters,
+      ),
+    ).toBeNull();
+  });
+});
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Soumil Rathi	ebc82245a5	fix(oss): cap v3 add ingestion fanout	2026-06-16 17:05:20 -07:00
Aayush Soni GitHub kartik-mem0	d772f9a961	feat: support Gemini via Vertex AI as LLM provider (#4030 ) Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>	2026-06-16 16:59:06 +05:30
Yash Raj Pandey GitHub kartik-mem0	7c841a2bce	fix(redis): do not crash on empty or None filters in search and list (#5446 ) Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>	2026-06-16 16:10:57 +05:30
Hrushikesh YadavandGitHub	6a6dfb4935	fix(huggingface): use self.config instead of raw config parameter (#5538 )	2026-06-16 15:51:27 +05:30
Hrushikesh YadavandGitHub	8b370def80	fix: AsyncMemory.reset() does not reset entity store (#5535 )	2026-06-16 15:50:30 +05:30
Hrushikesh YadavandGitHub	d46464282c	fix(pinecone): hybrid search crashes when filters is None (#5533 )	2026-06-16 15:49:26 +05:30
Hrushikesh YadavandGitHub	bb4a239cb1	fix(mongodb): reset() passes wrong argument to create_col() (#5532 )	2026-06-16 15:48:45 +05:30
Hrushikesh YadavandGitHub	e30f0d91fe	fix(weaviate): reset() crashes with missing vector_size argument (#5531 )	2026-06-16 15:45:47 +05:30
Hrushikesh YadavandGitHub	9f34e858c7	fix(ollama): json format mutates caller's messages list in-place (#5539 )	2026-06-16 15:37:22 +05:30
BartokandGitHub	94bbc13de0	fix(memory): skip messages without a content key in message parsers (#5575 )	2026-06-16 15:29:53 +05:30
Hrushikesh YadavandGitHub	a2f01a8fcc	fix: async delete_all aborts on first error, leaving partial deletion (#5529 )	2026-06-16 11:59:33 +05:30
Hrushikesh YadavandGitHub	30d172e826	fix: omit None config values from Gemini GenerateContentConfig (#5528 )	2026-06-16 11:54:42 +05:30
ly-wang19 GitHub ly-wang19	bb69b036b5	fix(vector_stores): return None from get() for missing IDs (milvus/weaviate/supabase) (#5562 ) Co-authored-by: ly-wang19 <ly-wang19@users.noreply.github.com>	2026-06-16 11:52:59 +05:30
Hrushikesh Yadav GitHub kartik-mem0	b55c51e004	fix(anthropic): tool_choice format and tool response parsing (#5537 ) Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>	2026-06-15 17:28:45 +05:30
Harsh Vardhan Gupta GitHub Claude Sonnet 4.6	4492e75d04	fix(deps): bump esbuild >=0.28.1 across all npm packages (#5563 ) Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-06-15 17:04:11 +05:30
Hrushikesh YadavandGitHub	4d949022f2	fix: preserve custom metadata fields during memory update (#5480 )	2026-06-15 16:29:44 +05:30
ly-wang19 GitHub ly-wang19	3ef034a9e4	fix(vector_stores): return None from ChromaDB.get() for missing IDs (#5561 ) Co-authored-by: ly-wang19 <ly-wang19@users.noreply.github.com>	2026-06-15 16:11:03 +05:30
Yash SinghandGitHub	b90e3c0b76	fix(reranker): respect config.top_k in Cohere and ZeroEntropy fallback paths (#5560 )	2026-06-15 16:10:00 +05:30
ly-wang19 GitHub ly-wang19	a8eeddde64	fix(llms): honor reasoning-model params in AzureOpenAIStructuredLLM (#5548 ) Co-authored-by: ly-wang19 <ly-wang19@users.noreply.github.com>	2026-06-15 16:07:19 +05:30
Hrushikesh YadavandGitHub	09a9e34382	fix(litellm): function-calling check blocks all calls on non-tool models (#5536 )	2026-06-15 15:59:46 +05:30
anish GitHub kartik-mem0	66c4394b40	fix(pyproject): rename vector_stores extra to vector-stores for PEP 503/508 compliance (#4934 ) Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>	2026-06-15 12:38:23 +05:30
ly-wang19 GitHub ly-wang19 kartik-mem0	32575a65fc	fix(llms): honor reasoning-model params in OpenAIStructuredLLM (#5458 ) Co-authored-by: ly-wang19 <ly-wang19@users.noreply.github.com> Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>	2026-06-15 12:36:15 +05:30
Yash SinghandGitHub	66901d7393	fix(llms): accept and forward **kwargs in Together/LangChain/Sarvam providers (#5556 )	2026-06-15 12:23:04 +05:30
Hrushikesh YadavandGitHub	a1eefc31bc	fix(bedrock): use dict literal instead of set in AI21 response parse default (#5527 )	2026-06-15 12:09:34 +05:30
Davide LeopardiandGitHub	de471799d1	fix(llms): send max_completion_tokens for the GPT-5 family across providers (#5547 )	2026-06-15 12:04:19 +05:30
Rod BoevandGitHub	3951ad4705	fix(openclaw): reduce skills-mode triage prompt footprint (#5502 )	2026-06-15 11:18:39 +05:30
KartikandGitHub	9315e3036f	chore: retire in-repo evaluation/ in favor of mem0ai/memory-benchmarks (#5520 )	2026-06-14 00:43:02 +05:30
KartikandGitHub	b3ede5b7c0	chore: update changelog, bump SDK and package versions to 3.0.8 and 2.0.6 (#5522 )	2026-06-13 20:59:53 +05:30
youneshimaandGitHub	3553fc79dd	feat(memory): add OSS-to-Platform notices (#5494 )	2026-06-13 18:34:20 +05:30
KartikandGitHub	f322cf82b9	chore: consolidate cookbooks/ into an indexed examples/ directory (#5517 )	2026-06-13 18:25:50 +05:30
KartikandGitHub	73c975ba68	chore: bump version to 0.1.3, update mem0ai to ^3.0.7, and adjust CHANGELOG (#5521 )	2026-06-13 18:10:50 +05:30
KartikandGitHub	931d579ba5	chore(openclaw): release v1.0.13 and backfill v1.0.12 changelog (#5519 )	2026-06-13 17:59:04 +05:30
KartikandGitHub	f4773a0baf	fix(mem0-plugin): accurate per-editor telemetry attribution + OpenCode telemetry (#5518 )	2026-06-13 16:48:29 +05:30
KartikandGitHub	06d33f6cc4	fix: relax flaky entity boost parallelism timing threshold (#5511 )	2026-06-12 21:07:47 +05:30
Hrushikesh YadavandGitHub	8f3b60f3e1	fix: prevent crash in parse_vision_messages when vision is disabled (#5487 )	2026-06-12 20:41:18 +05:30
Harsh Vardhan GuptaandGitHub	a6e27dcc9c	fix(@mem0/community): upgrade @langchain/community to ^1.1.18 (CVE-2026-27795, CVE-2026-26019) (#5510 )	2026-06-12 20:07:03 +05:30
Yufeng HeandGitHub	4f10c986b5	fix: expose Qdrant https option (#5380 )	2026-06-12 20:06:26 +05:30
mjzcng GitHub Kartik	821152bd14	Fix OpenClaw Mem0 custom categories payload (#5345 ) Co-authored-by: Kartik <kartik.labhshetwar@mem0.ai>	2026-06-12 19:48:53 +05:30
youneshima GitHub Claude Opus 4.8 kartik-mem0	f48b133101	feat(skills): add mem0-oss-to-platform migration skill (#5455 ) Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>	2026-06-12 19:48:37 +05:30
UmranPros GitHub Kartik	1d56f85705	fix(cli): resolve Windows environment compatibility issues in python CLI tests (#5464 ) Co-authored-by: Kartik <kartik.labhshetwar@mem0.ai>	2026-06-12 19:40:26 +05:30
Hrushikesh YadavandGitHub	ced852033b	fix: return 400 instead of 502 for invalid search filters (#5482 )	2026-06-12 19:35:24 +05:30
Yufeng HeandGitHub	b9ad8fa8b2	fix(openclaw): skip runtime setup during metadata registration (#5383 )	2026-06-12 19:32:59 +05:30
Yufeng He GitHub Kartik	e3f5ce7b41	fix: use valid S3 entity index names (#5416 ) Co-authored-by: Kartik <kartik.labhshetwar@mem0.ai>	2026-06-12 19:22:32 +05:30