fix(n8n): distinct light/dark icon files (0.1.4)

0.1.3 failed vetting on @n8n/community-nodes/icon-validation: light and dark
icon variants must be DIFFERENT files, but both pointed at mem0.svg. Add a
distinct light-theme variant (mem0-light.svg, brand purple #8F74E0 — the
existing mem0.svg is white and only reads on dark backgrounds) and wire
icon = { light: 'file:mem0-light.svg', dark: 'file:mem0.svg' } on both the
node and the credential. Verified locally: both icon-validation and
icon-prefer-themed-variants pass (0 problems). Matches the verified
@probo/n8n-nodes-probo pattern (probo-light.svg + probo.svg).

.claude-plugin/marketplace.json

@@ -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": "0.2.13"
+      "version": "0.2.14"
     }
   ]
 }

.cursor-plugin/marketplace.json

@@ -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": "0.2.13"
+      "version": "0.2.14"
     }
   ]
 }

.github/workflows/ci-gate.yml

@@ -38,6 +38,7 @@ jobs:
       cli_python: ${{ steps.filter.outputs.cli_python }}
       cli_node: ${{ steps.filter.outputs.cli_node }}
       openclaw: ${{ steps.filter.outputs.openclaw }}
+      mem0_plugin: ${{ steps.filter.outputs.mem0_plugin }}
       opencode_plugin: ${{ steps.filter.outputs.opencode_plugin }}
       pi_agent_plugin: ${{ steps.filter.outputs.pi_agent_plugin }}
       n8n_nodes_mem0: ${{ steps.filter.outputs.n8n_nodes_mem0 }}
@@ -73,6 +74,11 @@ jobs:
               - 'integrations/openclaw/**'
               - '.github/workflows/openclaw-checks.yml'
               - '.github/workflows/ci-gate.yml'
+            mem0_plugin:
+              - 'integrations/mem0-plugin/**'
+              - '!integrations/mem0-plugin/.opencode-plugin/**'
+              - '.github/workflows/mem0-plugin-checks.yml'
+              - '.github/workflows/ci-gate.yml'
             opencode_plugin:
               - 'integrations/mem0-plugin/.opencode-plugin/**'
               - '.github/workflows/opencode-plugin-checks.yml'
@@ -131,6 +137,13 @@ jobs:
     uses: ./.github/workflows/openclaw-checks.yml
     secrets: inherit
 
+  mem0-plugin:
+    name: Mem0 Plugin
+    needs: changes
+    if: needs.changes.outputs.mem0_plugin == 'true'
+    uses: ./.github/workflows/mem0-plugin-checks.yml
+    secrets: inherit
+
   opencode-plugin:
     name: OpenCode Plugin
     needs: changes
@@ -173,6 +186,7 @@ jobs:
       - cli-python
       - cli-node
       - openclaw
+      - mem0-plugin
       - opencode-plugin
       - pi-agent-plugin
       - n8n-nodes-mem0

.github/workflows/mem0-plugin-checks.yml

@@ -0,0 +1,58 @@
+name: Mem0 Plugin Checks
+
+# On PRs this is invoked by ci-gate.yml (the single required check);
+# push-to-main and manual runs remain standalone.
+#
+# Covers the Python plugin (scripts/ + tests/). The nested .opencode-plugin/
+# is a separate package with its own workflow (opencode-plugin-checks.yml).
+on:
+  workflow_dispatch:
+  push:
+    branches: [main]
+    paths:
+      - 'integrations/mem0-plugin/**'
+      - '!integrations/mem0-plugin/.opencode-plugin/**'
+      - '.github/workflows/mem0-plugin-checks.yml'
+  workflow_call:
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.10", "3.11", "3.12"]
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install dependencies
+        working-directory: integrations/mem0-plugin
+        run: |
+          pip install -r requirements.txt
+          pip install pytest
+
+      - name: Verify hook entry points are executable
+        working-directory: integrations/mem0-plugin
+        run: |
+          missing=$(find scripts -name '*.sh' ! -name '_*' ! -perm -u+x -print)
+          if [ -n "$missing" ]; then
+            echo "Hook entry points must be executable:"
+            echo "$missing"
+            exit 1
+          fi
+
+      - name: Check hook manifests are valid JSON
+        working-directory: integrations/mem0-plugin
+        run: |
+          for f in plugin.json mcp_config.json hooks.json hooks/*.json; do
+            jq empty "$f" || (echo "Invalid JSON: $f" && exit 1)
+          done
+
+      - name: Run tests
+        working-directory: integrations/mem0-plugin
+        run: pytest -q

AGENTS.md

@@ -406,6 +406,7 @@ PR testing is orchestrated by a single entry point: **`ci-gate.yml` (CI Gate)**
 | Python CLI | `cli-python-ci.yml` | Push to main (on `cli/python/`), manual | Ruff lint + pytest + hatch build on Python 3.10, 3.11, 3.12 |
 | Node CLI | `cli-node-ci.yml` | Push to main (on `cli/node/`), manual | Biome lint + tsc + vitest + tsup build on Node 20, 22 |
 | OpenClaw | `openclaw-checks.yml` | Push to main (on `integrations/openclaw/`), manual | tsc + vitest (with Codecov) + tsup build on Node 20, 22 |
+| Mem0 Plugin | `mem0-plugin-checks.yml` | Push to main (on `integrations/mem0-plugin/`, excluding `.opencode-plugin/`), manual | pytest + hook entry-point exec bits + JSON manifest validation on Python 3.10, 3.11, 3.12 |
 | OpenCode Plugin | `opencode-plugin-checks.yml` | Push to main (on `integrations/mem0-plugin/.opencode-plugin/`), manual | Bun: tsc type-check + build + dist artifact check |
 | Pi Agent Plugin | `pi-agent-plugin-checks.yml` | Push to main (on `integrations/pi-agent-plugin/`), manual | tsc + vitest + tsup build (dist artifact check) on Node 20, 22 |
 | n8n Node | `n8n-nodes-mem0-checks.yml` | Push to main (on `integrations/n8n-nodes-mem0/`), manual | ESLint (n8n-nodes-base) + tsc build (dist artifact check) on Node 20 |

cli/README.md

@@ -60,9 +60,8 @@ mem0 delete <memory-id>
 | `mem0 entity` | List or delete entities (users, agents, apps, runs) |
 | `mem0 event` | Inspect background processing events (bulk deletes, large add jobs) |
 | `mem0 status` | Verify API connection and display current project |
-| `mem0 version` | Print the CLI version |
 
-Run `mem0 <command> --help` for detailed usage on any command.
+Run `mem0 <command> --help` for detailed usage on any command, or `mem0 --version` to print the CLI version.
 
 ## Agent mode
 

cli/cli-spec.json

@@ -207,7 +207,11 @@
         { "name": "immutable", "flags": ["--immutable"], "type": "boolean", "default": false, "help": "Prevent future updates." },
         { "name": "no_infer", "flags": ["--no-infer"], "type": "boolean", "default": false, "help": "Skip inference, store raw." },
         { "name": "expires", "flags": ["--expires"], "type": "string", "help": "Expiration date (YYYY-MM-DD)." },
-        { "name": "categories", "flags": ["--categories"], "type": "string", "help": "Categories (JSON array or comma-separated)." },
+        { "name": "categories", "flags": ["--categories"], "type": "string", "help": "Not supported on add, use --custom-categories instead." },
+        { "name": "custom_instructions", "flags": ["--custom-instructions"], "type": "string", "help": "Custom instructions for fact extraction." },
+        { "name": "custom_categories", "flags": ["--custom-categories"], "type": "string", "help": "Custom categories as a JSON array of {name: description} objects." },
+        { "name": "structured_data_schema", "flags": ["--structured-data-schema"], "type": "string", "help": "Schema for structured data extraction, as JSON." },
+        { "name": "timestamp", "flags": ["--timestamp"], "type": "integer", "help": "Unix timestamp for the memory." },
         { "name": "graph", "flags": ["--graph"], "type": "boolean", "default": false, "help": "Enable graph memory extraction.", "panel": "Scope" },
         { "name": "no_graph", "flags": ["--no-graph"], "type": "boolean", "default": false, "help": "Disable graph memory extraction.", "panel": "Scope" },
         { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output format: text, json, quiet.", "panel": "Output" }
@@ -244,6 +248,9 @@
         { "name": "keyword", "flags": ["--keyword"], "type": "boolean", "default": false, "help": "Use keyword search.", "panel": "Search" },
         { "name": "filter_json", "flags": ["--filter"], "type": "string", "help": "Advanced filter expression (JSON).", "panel": "Search" },
         { "name": "fields", "flags": ["--fields"], "type": "string", "help": "Specific fields to return (comma-separated).", "panel": "Search" },
+        { "name": "show_expired", "flags": ["--show-expired"], "type": "boolean", "default": false, "help": "Include expired memories.", "panel": "Search" },
+        { "name": "reference_date", "flags": ["--reference-date"], "type": "string", "help": "Reference date for relative queries (YYYY-MM-DD or unix timestamp).", "panel": "Search" },
+        { "name": "latest_only", "flags": ["--latest-only"], "type": "boolean", "default": false, "help": "Only return the latest version of each memory.", "panel": "Search" },
         { "name": "graph", "flags": ["--graph"], "type": "boolean", "default": false, "help": "Enable graph in search.", "panel": "Search" },
         { "name": "no_graph", "flags": ["--no-graph"], "type": "boolean", "default": false, "help": "Disable graph in search.", "panel": "Search" },
         { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output: text, json, table.", "panel": "Output" }
@@ -296,6 +303,8 @@
         { "name": "category", "flags": ["--category"], "type": "string", "help": "Filter by category.", "panel": "Filters" },
         { "name": "after", "flags": ["--after"], "type": "string", "help": "Created after (YYYY-MM-DD).", "panel": "Filters" },
         { "name": "before", "flags": ["--before"], "type": "string", "help": "Created before (YYYY-MM-DD).", "panel": "Filters" },
+        { "name": "show_expired", "flags": ["--show-expired"], "type": "boolean", "default": false, "help": "Include expired memories.", "panel": "Filters" },
+        { "name": "latest_only", "flags": ["--latest-only"], "type": "boolean", "default": false, "help": "Only return the latest version of each memory.", "panel": "Filters" },
         { "name": "graph", "flags": ["--graph"], "type": "boolean", "default": false, "help": "Enable graph in listing.", "panel": "Filters" },
         { "name": "no_graph", "flags": ["--no-graph"], "type": "boolean", "default": false, "help": "Disable graph in listing.", "panel": "Filters" },
         { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "table", "help": "Output: text, json, table.", "panel": "Output" }
@@ -329,6 +338,8 @@
       ],
       "options": [
         { "name": "metadata", "flags": ["--metadata", "-m"], "type": "string", "help": "Update metadata (JSON)." },
+        { "name": "expires", "flags": ["--expires"], "type": "string", "help": "Expiration date (YYYY-MM-DD)." },
+        { "name": "timestamp", "flags": ["--timestamp"], "type": "integer", "help": "Unix timestamp for the memory." },
         { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output: text, json, quiet.", "panel": "Output" }
       ],
       "apiEndpoint": "update"
@@ -356,6 +367,7 @@
         { "name": "all", "flags": ["--all"], "type": "boolean", "default": false, "help": "Delete all memories matching scope filters." },
         { "name": "entity", "flags": ["--entity"], "type": "boolean", "default": false, "help": "Delete the entity itself and all its memories (cascade)." },
         { "name": "project", "flags": ["--project"], "type": "boolean", "default": false, "help": "With --all: delete ALL memories project-wide." },
+        { "name": "delete_linked", "flags": ["--delete-linked"], "type": "boolean", "default": false, "help": "Also delete memories linked to this memory." },
         { "name": "dry_run", "flags": ["--dry-run"], "type": "boolean", "default": false, "help": "Show what would be deleted without deleting." },
         { "name": "force", "flags": ["--force"], "type": "boolean", "default": false, "help": "Skip confirmation." },
         { "name": "user_id", "flags": ["--user-id", "-u"], "type": "string", "help": "Scope to user.", "panel": "Scope" },

cli/node/README.md

@@ -232,14 +232,6 @@ Verify your API connection and display the current project.
 mem0 status
 ```
 
-### `mem0 version`
-
-Print the CLI version.
-
-```bash
-mem0 version
-```
-
 ## Agent mode
 
 Pass `--agent` (or its alias `--json`) as a **global flag** on any command to get output designed for AI agent tool loops:
@@ -298,6 +290,8 @@ These flags are available on all commands:
 | `--base-url` | Override the configured API base URL for this request |
 | `-o, --output` | Set the output format |
 
+`mem0 --version` prints the CLI version. It is only valid before a subcommand, not after one.
+
 ## Environment variables
 
 | Variable | Description |

cli/node/development.md

@@ -51,7 +51,7 @@ pnpm link --global
 
 # Now use it like a normal CLI
 mem0 --help
-mem0 version
+mem0 --version
 ```
 
 > **Warning:** If you also have the Python CLI installed, both register the `mem0` command. The last one linked/installed wins. Unlink with `pnpm unlink --global`.

cli/node/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mem0/cli",
-  "version": "0.2.11",
+  "version": "0.2.12",
   "description": "The official CLI for mem0 — the memory layer for AI agents",
   "type": "module",
   "bin": {
@@ -51,8 +51,8 @@
       "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"
+      "esbuild": ">=0.28.1",
+      "postcss@<8.5.18": ">=8.5.18 <9.0.0"
     }
   }
 }

cli/node/pnpm-lock.yaml

@@ -9,8 +9,8 @@ overrides:
   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'
+  postcss@<8.5.18: '>=8.5.18 <9.0.0'
 
 importers:
 
@@ -40,7 +40,7 @@ importers:
         version: 20.19.37
       tsup:
         specifier: ^8.0.0
-        version: 8.5.1(postcss@8.5.15)(tsx@4.21.0)(typescript@5.9.3)
+        version: 8.5.1(postcss@8.5.23)(tsx@4.21.0)(typescript@5.9.3)
       tsx:
         specifier: ^4.7.0
         version: 4.21.0
@@ -78,24 +78,28 @@ 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==}
@@ -316,66 +320,79 @@ 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==}
@@ -653,8 +670,8 @@ packages:
   mz@2.7.0:
     resolution: {integrity: sha512-z81GNO7nnYMEhrGh9LeymoE4+Yr0Wn5McHIZMK5cfQCl+NDX08sCZgUc9/6MHni9IWuFLm1Z3HTCXu2z9fN62Q==}
 
-  nanoid@3.3.12:
-    resolution: {integrity: sha512-ZB9RH/39qpq5Vu6Y+NmUaFhQR6pp+M2Xt76XBnEwDaGcVAqhlvxrl3B2bKS5D3NH3QR76v3aSrKaF/Kiy7lEtQ==}
+  nanoid@3.3.16:
+    resolution: {integrity: sha512-bzlKTyNJ7+LdGIIwy8ijFpIqEQIvafahV7eYykJ8Cvh42EdJeODoJ6gUJXpQJvej1BddH8OqTXZNE/KfbWAu8Q==}
     engines: {node: ^10 || ^12 || ^13.7 || ^14 || >=15.0.1}
     hasBin: true
 
@@ -695,7 +712,7 @@ packages:
     engines: {node: '>= 18'}
     peerDependencies:
       jiti: '>=1.21.0'
-      postcss: '>=8.5.10'
+      postcss: '>=8.5.18 <9.0.0'
       tsx: ^4.8.1
       yaml: ^2.4.2
     peerDependenciesMeta:
@@ -708,8 +725,8 @@ packages:
       yaml:
         optional: true
 
-  postcss@8.5.15:
-    resolution: {integrity: sha512-FfR8sjd4em2T6fb3I2MwAJU7HWVMr9zba+enmQeeWFfCbm+UOC/0X4DS8XtpUTMwWMGbjKYP7xjfNekzyGmB3A==}
+  postcss@8.5.23:
+    resolution: {integrity: sha512-g50586zr4bZmwFiTlflMu8E0bDTb5I5gertgwAKmsdUlTQIhZtunzUlD1WSzwcVWPoAVpsrA6vlfCD7oXvRwgg==}
     engines: {node: ^10 || ^12 || >=14}
 
   readdirp@4.1.2:
@@ -821,7 +838,7 @@ packages:
     peerDependencies:
       '@microsoft/api-extractor': ^7.36.0
       '@swc/core': ^1
-      postcss: '>=8.5.10'
+      postcss: '>=8.5.18 <9.0.0'
       typescript: '>=4.5.0'
     peerDependenciesMeta:
       '@microsoft/api-extractor':
@@ -1388,7 +1405,7 @@ snapshots:
       object-assign: 4.1.1
       thenify-all: 1.6.0
 
-  nanoid@3.3.12: {}
+  nanoid@3.3.16: {}
 
   object-assign@4.1.1: {}
 
@@ -1424,16 +1441,16 @@ snapshots:
       mlly: 1.8.2
       pathe: 2.0.3
 
-  postcss-load-config@6.0.1(postcss@8.5.15)(tsx@4.21.0):
+  postcss-load-config@6.0.1(postcss@8.5.23)(tsx@4.21.0):
     dependencies:
       lilconfig: 3.1.3
     optionalDependencies:
-      postcss: 8.5.15
+      postcss: 8.5.23
       tsx: 4.21.0
 
-  postcss@8.5.15:
+  postcss@8.5.23:
     dependencies:
-      nanoid: 3.3.12
+      nanoid: 3.3.16
       picocolors: 1.1.1
       source-map-js: 1.2.1
 
@@ -1554,7 +1571,7 @@ snapshots:
 
   ts-interface-checker@0.1.13: {}
 
-  tsup@8.5.1(postcss@8.5.15)(tsx@4.21.0)(typescript@5.9.3):
+  tsup@8.5.1(postcss@8.5.23)(tsx@4.21.0)(typescript@5.9.3):
     dependencies:
       bundle-require: 5.1.0(esbuild@0.28.1)
       cac: 6.7.14
@@ -1565,7 +1582,7 @@ snapshots:
       fix-dts-default-cjs-exports: 1.0.1
       joycon: 3.1.1
       picocolors: 1.1.1
-      postcss-load-config: 6.0.1(postcss@8.5.15)(tsx@4.21.0)
+      postcss-load-config: 6.0.1(postcss@8.5.23)(tsx@4.21.0)
       resolve-from: 5.0.0
       rollup: 4.60.0
       source-map: 0.7.6
@@ -1574,7 +1591,7 @@ snapshots:
       tinyglobby: 0.2.15
       tree-kill: 1.2.2
     optionalDependencies:
-      postcss: 8.5.15
+      postcss: 8.5.23
       typescript: 5.9.3
     transitivePeerDependencies:
       - jiti
@@ -1602,7 +1619,7 @@ snapshots:
       esbuild: 0.28.1
       fdir: 6.5.0(picomatch@4.0.4)
       picomatch: 4.0.4
-      postcss: 8.5.15
+      postcss: 8.5.23
       rollup: 4.60.0
       tinyglobby: 0.2.15
     optionalDependencies:

cli/node/pnpm-workspace.yaml

@@ -10,5 +10,5 @@ overrides:
   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"
+  "postcss@<8.5.18": ">=8.5.18 <9.0.0"

cli/node/src/backend/base.ts

@@ -14,7 +14,10 @@ export interface AddOptions {
 	immutable?: boolean;
 	infer?: boolean;
 	expires?: string;
-	categories?: string[];
+	customInstructions?: string;
+	customCategories?: Record<string, string>[];
+	structuredDataSchema?: Record<string, unknown>;
+	timestamp?: number;
 }
 
 export interface SearchOptions {
@@ -28,6 +31,9 @@ export interface SearchOptions {
 	keyword?: boolean;
 	filters?: Record<string, unknown>;
 	fields?: string[];
+	showExpired?: boolean;
+	referenceDate?: string | number;
+	latestOnly?: boolean;
 }
 
 export interface ListOptions {
@@ -40,6 +46,8 @@ export interface ListOptions {
 	category?: string;
 	after?: string;
 	before?: string;
+	showExpired?: boolean;
+	latestOnly?: boolean;
 }
 
 export interface DeleteOptions {
@@ -48,6 +56,12 @@ export interface DeleteOptions {
 	agentId?: string;
 	appId?: string;
 	runId?: string;
+	deleteLinked?: boolean;
+}
+
+export interface UpdateOptions {
+	expirationDate?: string;
+	timestamp?: number;
 }
 
 export interface EntityIds {
@@ -77,6 +91,7 @@ export interface Backend {
 		memoryId: string,
 		content?: string,
 		metadata?: Record<string, unknown>,
+		opts?: UpdateOptions,
 	): Promise<Record<string, unknown>>;
 
 	delete(

cli/node/src/backend/platform.ts

@@ -15,6 +15,7 @@ import {
 	type ListOptions,
 	NotFoundError,
 	type SearchOptions,
+	type UpdateOptions,
 } from "./base.js";
 
 function encodePathSegment(value: unknown): string {
@@ -150,7 +151,13 @@ export class PlatformBackend implements Backend {
 		if (opts.immutable) payload.immutable = true;
 		if (opts.infer === false) payload.infer = false;
 		if (opts.expires) payload.expiration_date = opts.expires;
-		if (opts.categories) payload.categories = opts.categories;
+		if (opts.customInstructions)
+			payload.custom_instructions = opts.customInstructions;
+		if (opts.customCategories)
+			payload.custom_categories = opts.customCategories;
+		if (opts.structuredDataSchema)
+			payload.structured_data_schema = opts.structuredDataSchema;
+		if (opts.timestamp !== undefined) payload.timestamp = opts.timestamp;
 		payload.source = "CLI";
 
 		return (await this._request("POST", "/v3/memories/add/", {
@@ -211,6 +218,10 @@ export class PlatformBackend implements Backend {
 		if (opts.rerank) payload.rerank = true;
 		if (opts.keyword) payload.keyword_search = true;
 		if (opts.fields) payload.fields = opts.fields;
+		if (opts.showExpired) payload.show_expired = true;
+		if (opts.referenceDate !== undefined)
+			payload.reference_date = opts.referenceDate;
+		if (opts.latestOnly) payload.latest_only = true;
 		payload.source = "CLI";
 
 		const result = (await this._request("POST", "/v3/memories/search/", {
@@ -265,6 +276,8 @@ export class PlatformBackend implements Backend {
 			extraFilters: Object.keys(extra).length > 0 ? extra : undefined,
 		});
 		if (apiFilters) payload.filters = apiFilters;
+		if (opts.showExpired) payload.show_expired = true;
+		if (opts.latestOnly) payload.latest_only = true;
 		payload.source = "CLI";
 
 		const result = (await this._request("POST", "/v3/memories/", {
@@ -280,10 +293,13 @@ export class PlatformBackend implements Backend {
 		memoryId: string,
 		content?: string,
 		metadata?: Record<string, unknown>,
+		opts: UpdateOptions = {},
 	): Promise<Record<string, unknown>> {
 		const payload: Record<string, unknown> = {};
 		if (content) payload.text = content;
 		if (metadata) payload.metadata = metadata;
+		if (opts.expirationDate) payload.expiration_date = opts.expirationDate;
+		if (opts.timestamp !== undefined) payload.timestamp = opts.timestamp;
 		payload.source = "CLI";
 		return (await this._request(
 			"PUT",
@@ -309,12 +325,12 @@ export class PlatformBackend implements Backend {
 			})) as Record<string, unknown>;
 		}
 		if (memoryId) {
+			const params: Record<string, string> = { source: "CLI" };
+			if (opts.deleteLinked) params.delete_linked = "true";
 			return (await this._request(
 				"DELETE",
 				`/v1/memories/${encodePathSegment(memoryId)}/`,
-				{
-					params: { source: "CLI" },
-				},
+				{ params },
 			)) as Record<string, unknown>;
 		}
 		throw new Error("Either memoryId or --all is required");

cli/node/src/commands/memory.ts

@@ -21,16 +21,19 @@ import {
 	formatSingleMemory,
 	printResultSummary,
 } from "../output.js";
-import { isAgentMode, setCurrentCommand } from "../state.js";
+import { isAgentMode, setCurrentCommand, stdinIsPiped } from "../state.js";
 
-/** True only when stdin is an actual pipe or file redirect — never in agent mode. */
-function _stdinIsPiped(): boolean {
-	if (isAgentMode()) return false;
-	try {
-		const stat = fs.fstatSync(0);
-		return stat.isFIFO() || stat.isFile();
-	} catch {
-		return false;
+/** Exit 1 if value is not a future YYYY-MM-DD date. */
+function _validateExpires(value: string): void {
+	if (!/^\d{4}-\d{2}-\d{2}$/.test(value)) {
+		printError(
+			"Invalid date format for --expires. Use YYYY-MM-DD (e.g. 2025-12-31).",
+		);
+		process.exit(1);
+	}
+	if (new Date(value) <= new Date()) {
+		printError("--expires date must be in the future.");
+		process.exit(1);
 	}
 }
 
@@ -49,10 +52,22 @@ export async function cmdAdd(
 		infer?: boolean;
 		expires?: string;
 		categories?: string;
+		customInstructions?: string;
+		customCategories?: string;
+		structuredDataSchema?: string;
+		timestamp?: number;
 		output: string;
 	},
 ): Promise<void> {
 	setCurrentCommand("add");
+
+	if (opts.categories) {
+		printError(
+			"--categories is not supported on add. Use --custom-categories instead.",
+		);
+		process.exit(1);
+	}
+
 	let msgs: Record<string, unknown>[] | undefined;
 	let content = text;
 
@@ -78,7 +93,7 @@ export async function cmdAdd(
 		}
 	}
 	// Read from stdin only if stdin is an actual pipe or file redirect
-	else if (!content && _stdinIsPiped()) {
+	else if (!content && stdinIsPiped()) {
 		content = fs.readFileSync(0, "utf-8").trim();
 	}
 
@@ -93,20 +108,6 @@ export async function cmdAdd(
 		process.exit(1);
 	}
 
-	// Validate --expires
-	if (opts.expires) {
-		if (!/^\d{4}-\d{2}-\d{2}$/.test(opts.expires)) {
-			printError(
-				"Invalid date format for --expires. Use YYYY-MM-DD (e.g. 2025-12-31).",
-			);
-			process.exit(1);
-		}
-		if (new Date(opts.expires) <= new Date()) {
-			printError("--expires date must be in the future.");
-			process.exit(1);
-		}
-	}
-
 	let meta: Record<string, unknown> | undefined;
 	if (opts.metadata) {
 		try {
@@ -117,15 +118,28 @@ export async function cmdAdd(
 		}
 	}
 
-	let cats: string[] | undefined;
-	if (opts.categories) {
+	let customCats: Record<string, string>[] | undefined;
+	if (opts.customCategories) {
 		try {
-			cats = JSON.parse(opts.categories);
+			customCats = JSON.parse(opts.customCategories);
 		} catch {
-			cats = opts.categories.split(",").map((c) => c.trim());
+			printError("Invalid JSON in --custom-categories.");
+			process.exit(1);
 		}
 	}
 
+	let schema: Record<string, unknown> | undefined;
+	if (opts.structuredDataSchema) {
+		try {
+			schema = JSON.parse(opts.structuredDataSchema);
+		} catch {
+			printError("Invalid JSON in --structured-data-schema.");
+			process.exit(1);
+		}
+	}
+
+	if (opts.expires) _validateExpires(opts.expires);
+
 	let result: Record<string, unknown>;
 	try {
 		result = await timedStatus("Adding memory...", async () => {
@@ -138,7 +152,10 @@ export async function cmdAdd(
 				immutable: opts.immutable,
 				infer: opts.infer !== false,
 				expires: opts.expires,
-				categories: cats,
+				customInstructions: opts.customInstructions,
+				customCategories: customCats,
+				structuredDataSchema: schema,
+				timestamp: opts.timestamp,
 			});
 		});
 	} catch (e) {
@@ -223,6 +240,9 @@ export async function cmdSearch(
 		keyword: boolean;
 		filterJson?: string;
 		fields?: string;
+		showExpired?: boolean;
+		referenceDate?: string;
+		latestOnly?: boolean;
 		output: string;
 	},
 ): Promise<void> {
@@ -271,6 +291,9 @@ export async function cmdSearch(
 				keyword: opts.keyword,
 				filters,
 				fields: fieldList,
+				showExpired: opts.showExpired,
+				referenceDate: opts.referenceDate,
+				latestOnly: opts.latestOnly,
 			});
 		});
 	} catch (e) {
@@ -364,6 +387,8 @@ export async function cmdList(
 		category?: string;
 		after?: string;
 		before?: string;
+		showExpired?: boolean;
+		latestOnly?: boolean;
 		output: string;
 	},
 ): Promise<void> {
@@ -391,6 +416,8 @@ export async function cmdList(
 				category: opts.category,
 				after: opts.after,
 				before: opts.before,
+				showExpired: opts.showExpired,
+				latestOnly: opts.latestOnly,
 			});
 		});
 	} catch (e) {
@@ -450,7 +477,12 @@ export async function cmdUpdate(
 	backend: Backend,
 	memoryId: string,
 	text: string | undefined,
-	opts: { metadata?: string; output: string },
+	opts: {
+		metadata?: string;
+		expires?: string;
+		timestamp?: number;
+		output: string;
+	},
 ): Promise<void> {
 	setCurrentCommand("update");
 	let meta: Record<string, unknown> | undefined;
@@ -463,11 +495,16 @@ export async function cmdUpdate(
 		}
 	}
 
+	if (opts.expires) _validateExpires(opts.expires);
+
 	const start = performance.now();
 	let result: Record<string, unknown>;
 	try {
 		result = await timedStatus("Updating memory...", async () => {
-			return backend.update(memoryId, text, meta);
+			return backend.update(memoryId, text, meta, {
+				expirationDate: opts.expires,
+				timestamp: opts.timestamp,
+			});
 		});
 	} catch (e) {
 		printError(e instanceof Error ? e.message : String(e));
@@ -493,7 +530,12 @@ export async function cmdUpdate(
 export async function cmdDelete(
 	backend: Backend,
 	memoryId: string,
-	opts: { output: string; dryRun?: boolean; force?: boolean },
+	opts: {
+		output: string;
+		dryRun?: boolean;
+		force?: boolean;
+		deleteLinked?: boolean;
+	},
 ): Promise<void> {
 	setCurrentCommand("delete");
 	if (opts.dryRun) {
@@ -514,7 +556,7 @@ export async function cmdDelete(
 	let result: Record<string, unknown>;
 	try {
 		result = await timedStatus("Deleting...", async () => {
-			return backend.delete(memoryId);
+			return backend.delete(memoryId, { deleteLinked: opts.deleteLinked });
 		});
 	} catch (e) {
 		printError(e instanceof Error ? e.message : String(e));

cli/node/src/commands/utils.ts

@@ -1,5 +1,5 @@
 /**
- * Utility commands: status, version, import.
+ * Utility commands: status, import.
  */
 
 import fs from "node:fs";
@@ -8,7 +8,6 @@ import type { Backend } from "../backend/base.js";
 import { colors, printError, printSuccess, timedStatus } from "../branding.js";
 import { formatAgentEnvelope, formatJsonEnvelope } from "../output.js";
 import { setCurrentCommand } from "../state.js";
-import { CLI_VERSION } from "../version.js";
 
 const { brand, dim, success, error: errorColor } = colors;
 
@@ -82,10 +81,6 @@ export async function cmdStatus(
 	console.log();
 }
 
-export function cmdVersion(): void {
-	console.log(`  ${brand("◆ Mem0")} CLI v${CLI_VERSION}`);
-}
-
 export async function cmdImport(
 	backend: Backend,
 	filePath: string,

cli/node/src/index.ts

@@ -17,6 +17,7 @@ import {
 	isAgentMode,
 	setAgentMode,
 	setCurrentCommand,
+	stdinIsPiped,
 	takeNotice,
 } from "./state.js";
 import { captureEvent } from "./telemetry.js";
@@ -319,7 +320,25 @@ program
 	.option("--immutable", "Prevent future updates.", false)
 	.option("--no-infer", "Skip inference, store raw.")
 	.option("--expires <date>", "Expiration date (YYYY-MM-DD).")
-	.option("--categories <value>", "Categories (JSON array or comma-separated).")
+	.option(
+		"--categories <value>",
+		"Not supported on add, use --custom-categories instead.",
+	)
+	.option(
+		"--custom-instructions <text>",
+		"Custom instructions for fact extraction.",
+	)
+	.option(
+		"--custom-categories <json>",
+		"Custom categories as a JSON array of {name: description} objects.",
+	)
+	.option(
+		"--structured-data-schema <json>",
+		"Schema for structured data extraction, as JSON.",
+	)
+	.option("--timestamp <unix>", "Unix timestamp for the memory.", (v) =>
+		Number.parseInt(v),
+	)
 	.option("-o, --output <format>", "Output format: text, json, quiet.", "text")
 	.option("--api-key <key>", "Override API key.")
 	.option("--base-url <url>", "Override API base URL.")
@@ -366,6 +385,16 @@ program
 	.option("--keyword", "Use keyword search.", false)
 	.option("--filter <json>", "Advanced filter expression (JSON).")
 	.option("--fields <list>", "Specific fields to return (comma-separated).")
+	.option("--show-expired", "Include expired memories.", false)
+	.option(
+		"--reference-date <date>",
+		"Reference date for relative queries (YYYY-MM-DD or unix timestamp).",
+	)
+	.option(
+		"--latest-only",
+		"Only return the latest version of each memory.",
+		false,
+	)
 	.option("-o, --output <format>", "Output: text, json, table.", "text")
 	.option("--api-key <key>", "Override API key.")
 	.option("--base-url <url>", "Override API base URL.")
@@ -375,7 +404,7 @@ program
 	)
 	.action(async (query, opts) => {
 		let resolvedQuery = query;
-		if (!resolvedQuery && !process.stdin.isTTY) {
+		if (!resolvedQuery && stdinIsPiped()) {
 			resolvedQuery = fs.readFileSync(0, "utf-8").trim();
 		}
 		if (!resolvedQuery) {
@@ -398,6 +427,9 @@ program
 			keyword: opts.keyword,
 			filterJson: opts.filter,
 			fields: opts.fields,
+			showExpired: opts.showExpired,
+			referenceDate: opts.referenceDate,
+			latestOnly: opts.latestOnly,
 			output,
 		});
 	});
@@ -441,6 +473,12 @@ program
 	.option("--category <name>", "Filter by category.")
 	.option("--after <date>", "Created after (YYYY-MM-DD).")
 	.option("--before <date>", "Created before (YYYY-MM-DD).")
+	.option("--show-expired", "Include expired memories.", false)
+	.option(
+		"--latest-only",
+		"Only return the latest version of each memory.",
+		false,
+	)
 	.option("-o, --output <format>", "Output: text, json, table.", "table")
 	.option("--api-key <key>", "Override API key.")
 	.option("--base-url <url>", "Override API base URL.")
@@ -464,6 +502,8 @@ program
 			category: opts.category,
 			after: opts.after,
 			before: opts.before,
+			showExpired: opts.showExpired,
+			latestOnly: opts.latestOnly,
 			output,
 		});
 	});
@@ -474,6 +514,10 @@ program
 	.command("update <memoryId> [text]")
 	.description("Update a memory's text or metadata.")
 	.option("-m, --metadata <json>", "Update metadata (JSON).")
+	.option("--expires <date>", "Expiration date (YYYY-MM-DD).")
+	.option("--timestamp <unix>", "Unix timestamp for the memory.", (v) =>
+		Number.parseInt(v),
+	)
 	.option("-o, --output <format>", "Output: text, json, quiet.", "text")
 	.option("--api-key <key>", "Override API key.")
 	.option("--base-url <url>", "Override API base URL.")
@@ -483,7 +527,7 @@ program
 	)
 	.action(async (memoryId, text, opts) => {
 		let resolvedText = text;
-		if (!resolvedText && !opts.metadata && !process.stdin.isTTY) {
+		if (!resolvedText && stdinIsPiped()) {
 			resolvedText = fs.readFileSync(0, "utf-8").trim();
 		}
 		const { cmdUpdate } = await import("./commands/memory.js");
@@ -492,6 +536,8 @@ program
 		const output = isAgent ? "agent" : opts.output;
 		await cmdUpdate(backend, memoryId, resolvedText, {
 			metadata: opts.metadata,
+			expires: opts.expires,
+			timestamp: opts.timestamp,
 			output,
 		});
 	});
@@ -510,6 +556,11 @@ program
 	.option("--project", "With --all: delete ALL memories project-wide.", false)
 	.option("--dry-run", "Show what would be deleted without deleting.", false)
 	.option("--force", "Skip confirmation.", false)
+	.option(
+		"--delete-linked",
+		"Also delete memories linked to this memory.",
+		false,
+	)
 	.option("-u, --user-id <id>", "Scope to user.")
 	.option("--agent-id <id>", "Scope to agent.")
 	.option("--app-id <id>", "Scope to app.")
@@ -563,6 +614,7 @@ program
 				output,
 				dryRun: opts.dryRun,
 				force: opts.force,
+				deleteLinked: opts.deleteLinked,
 			});
 			return;
 		}
@@ -806,8 +858,8 @@ program
 	.addHelpText("after", "\nExamples:\n  $ mem0 help\n  $ mem0 help --json")
 	.action((opts) => {
 		// opts.json is set when `mem0 help --json` is used (subcommand flag).
-		// program.opts().json is set when the root --json global flag was used first.
-		if (opts.json || program.opts().json) {
+		// program.opts().json/.agent is set when a root global flag was used first.
+		if (opts.json || program.opts().json || program.opts().agent) {
 			// Load spec from parent directory
 			const __dirname = path.dirname(fileURLToPath(import.meta.url));
 			const specPath = path.join(__dirname, "..", "..", "cli-spec.json");

cli/node/src/output.ts

@@ -282,11 +282,24 @@ export function sanitizeAgentData(command: string, data: unknown): unknown {
 		}
 		case "search":
 			return (data as Record<string, unknown>[]).map((r) =>
-				pick(r, ["id", "memory", "score", "created_at", "categories"]),
+				pick(r, [
+					"id",
+					"memory",
+					"score",
+					"created_at",
+					"categories",
+					"expiration_date",
+				]),
 			);
 		case "list":
 			return (data as Record<string, unknown>[]).map((r) =>
-				pick(r, ["id", "memory", "created_at", "categories"]),
+				pick(r, [
+					"id",
+					"memory",
+					"created_at",
+					"categories",
+					"expiration_date",
+				]),
 			);
 		case "get": {
 			const r = data as Record<string, unknown>;
@@ -297,11 +310,12 @@ export function sanitizeAgentData(command: string, data: unknown): unknown {
 				"updated_at",
 				"categories",
 				"metadata",
+				"expiration_date",
 			]);
 		}
 		case "update": {
 			const r = data as Record<string, unknown>;
-			return pick(r, ["id", "memory"]);
+			return pick(r, ["id", "memory", "expiration_date"]);
 		}
 		case "delete":
 		case "delete-all":

cli/node/src/state.ts

@@ -3,6 +3,8 @@
  * read by commands and branding functions.
  */
 
+import fs from "node:fs";
+
 let _agentMode = false;
 let _currentCommand = "";
 let _pendingNotice = "";
@@ -38,3 +40,14 @@ export function takeNotice(): string {
 	_pendingNotice = "";
 	return msg;
 }
+
+/** True only when stdin is an actual pipe or file redirect (never in agent mode). */
+export function stdinIsPiped(): boolean {
+	if (isAgentMode()) return false;
+	try {
+		const stat = fs.fstatSync(0);
+		return stat.isFIFO() || stat.isFile();
+	} catch {
+		return false;
+	}
+}

cli/node/tests/cli-integration.test.ts

@@ -44,15 +44,25 @@ describe("CLI Integration — help and version", () => {
     expect(result.stdout).toContain("search");
   });
 
-  it("help --json produces valid JSON", () => {
-    const result = run(["help", "--json"]);
-    expect(result.exitCode).toBe(0);
-    const parsed = JSON.parse(result.stdout);
-    // spec may have cli.name or top-level name
-    const name = parsed.name ?? parsed.cli?.name;
-    expect(name).toBe("mem0");
+  it("prints the version with --version, and has no version subcommand", () => {
+    const flag = run(["--version"]);
+    expect(flag.exitCode).toBe(0);
+    expect(flag.stdout).toContain("Mem0");
+    expect(run(["version"]).exitCode).not.toBe(0);
   });
 
+  it.each([["help", "--json"], ["--json", "help"], ["--agent", "help"]])(
+    "%s %s produces valid JSON",
+    (...args) => {
+      const result = run(args);
+      expect(result.exitCode).toBe(0);
+      const parsed = JSON.parse(result.stdout);
+      // spec may have cli.name or top-level name
+      const name = parsed.name ?? parsed.cli?.name;
+      expect(name).toBe("mem0");
+    },
+  );
+
   it("shows add help", () => {
     const result = run(["add", "--help"]);
     expect(result.exitCode).toBe(0);

cli/node/tests/option-parity.test.ts

@@ -0,0 +1,163 @@
+/**
+ * Drift test: every documented v3 add/search/list param must be reachable from the Node CLI.
+ */
+
+import { execSync } from "node:child_process";
+import fs from "node:fs";
+import path from "node:path";
+import { describe, expect, it } from "vitest";
+
+const OPENAPI_PATH = path.join(
+	__dirname,
+	"..",
+	"..",
+	"..",
+	"docs",
+	"openapi.json",
+);
+
+const KNOWN_UNSURFACED: Record<string, Record<string, string>> = {
+	"/v3/memories/add/": {
+		includes: "extraction hint, no CLI flag yet",
+		excludes: "extraction hint, no CLI flag yet",
+		enable_graph: "graph memory toggle, no CLI flag yet",
+		output_format: "response envelope is pinned by the CLI",
+		prompt_profile_id: "no CLI flag yet",
+		temporal_reasoning: "no CLI flag yet",
+		timezone: "no CLI flag yet",
+		observation_datetime: "no CLI flag yet, --timestamp backdates instead",
+		observation_date: "no CLI flag yet, --timestamp backdates instead",
+	},
+	"/v3/memories/search/": {
+		categories: "expressible through --filter",
+		metadata: "expressible through --filter",
+	},
+	"/v3/memories/": {
+		start_date: "covered by --after via filters.created_at.gte",
+		end_date: "covered by --before via filters.created_at.lte",
+		categories: "covered by --category via filters.categories",
+		fields: "no CLI flag yet",
+		keywords: "no CLI flag yet",
+	},
+};
+
+const ADD_MAPPING: Record<string, string[]> = {
+	messages: ["--messages", "--file", "text"],
+	user_id: ["--user-id"],
+	agent_id: ["--agent-id"],
+	app_id: ["--app-id"],
+	run_id: ["--run-id"],
+	metadata: ["--metadata"],
+	expiration_date: ["--expires"],
+	custom_instructions: ["--custom-instructions"],
+	custom_categories: ["--custom-categories"],
+	infer: ["--no-infer"],
+	immutable: ["--immutable"],
+	structured_data_schema: ["--structured-data-schema"],
+	timestamp: ["--timestamp"],
+};
+
+const SEARCH_MAPPING: Record<string, string[]> = {
+	query: ["query"],
+	filters: ["--filter", "--user-id", "--agent-id", "--run-id"],
+	show_expired: ["--show-expired"],
+	top_k: ["--top-k"],
+	threshold: ["--threshold"],
+	rerank: ["--rerank"],
+	reference_date: ["--reference-date"],
+	fields: ["--fields"],
+};
+
+const LIST_MAPPING: Record<string, string[]> = {
+	filters: [
+		"--user-id",
+		"--agent-id",
+		"--run-id",
+		"--category",
+		"--after",
+		"--before",
+	],
+	show_expired: ["--show-expired"],
+	page: ["--page"],
+	page_size: ["--page-size"],
+};
+
+function documentedFields(endpoint: string): string[] {
+	const spec = JSON.parse(fs.readFileSync(OPENAPI_PATH, "utf-8"));
+	const schema =
+		spec.paths[endpoint].post.requestBody.content["application/json"].schema;
+	return Object.keys(schema.properties);
+}
+
+function helpText(command: string): string {
+	return execSync(`npx tsx src/index.ts ${command} --help`, {
+		cwd: path.join(__dirname, ".."),
+		encoding: "utf-8",
+		timeout: 15000,
+	});
+}
+
+function assertAllReachable(
+	endpoint: string,
+	mapping: Record<string, string[]>,
+	command: string,
+) {
+	const documented = documentedFields(endpoint);
+	const help = helpText(command);
+	for (const field of documented) {
+		if (KNOWN_UNSURFACED[endpoint]?.[field]) continue;
+		const candidates = mapping[field];
+		expect(
+			candidates,
+			`${endpoint}: documented field "${field}" has no mapping entry for command "${command}"`,
+		).toBeDefined();
+		const reachable = candidates.some((flag) =>
+			flag.startsWith("--") ? help.includes(flag) : true,
+		);
+		expect(
+			reachable,
+			`${endpoint}: documented field "${field}" not reachable via any of ${JSON.stringify(candidates)} on command "${command}"`,
+		).toBe(true);
+	}
+}
+
+describe("Option parity: Node CLI reachability of documented v3 params", () => {
+	it("add covers documented fields", () => {
+		assertAllReachable("/v3/memories/add/", ADD_MAPPING, "add");
+	});
+
+	it("search covers documented fields", () => {
+		assertAllReachable("/v3/memories/search/", SEARCH_MAPPING, "search");
+	});
+
+	it("list covers documented fields", () => {
+		assertAllReachable("/v3/memories/", LIST_MAPPING, "list");
+	});
+});
+
+describe("stdin fallback uses the shared piped-stdin guard", () => {
+	const SOURCES = ["src/index.ts", "src/commands/memory.ts"];
+
+	for (const rel of SOURCES) {
+		it(`${rel} never checks process.stdin.isTTY directly`, () => {
+			const src = fs.readFileSync(path.join(__dirname, "..", rel), "utf-8");
+			expect(
+				src.includes("process.stdin.isTTY"),
+				`${rel}: use stdinIsPiped() from state.ts. A bare !isTTY check is also true for /dev/null and sockets, so readFileSync(0) crashes with EAGAIN in scripts, CI, and agent mode.`,
+			).toBe(false);
+		});
+
+		it(`${rel} guards every readFileSync(0) with stdinIsPiped()`, () => {
+			const src = fs.readFileSync(path.join(__dirname, "..", rel), "utf-8");
+			const lines = src.split("\n");
+			for (const [i, line] of lines.entries()) {
+				if (!line.includes("readFileSync(0")) continue;
+				const guard = lines.slice(Math.max(0, i - 3), i).join("\n");
+				expect(
+					guard.includes("stdinIsPiped()"),
+					`${rel}:${i + 1}: readFileSync(0) must be guarded by stdinIsPiped()`,
+				).toBe(true);
+			}
+		});
+	}
+});

cli/node/tests/platform-backend.test.ts

@@ -7,94 +7,231 @@ import { PlatformBackend } from "../src/backend/platform.js";
 import { createDefaultConfig } from "../src/config.js";
 
 function makeBackend(): PlatformBackend {
-  // apiKey/baseUrl only build request headers; every test spies on _request,
-  // so no real network calls are made.
-  return new PlatformBackend(createDefaultConfig().platform);
+	return new PlatformBackend(createDefaultConfig().platform);
 }
 
 function mockFetch() {
-  const fetchMock = vi.fn().mockResolvedValue({
-    ok: true,
-    status: 200,
-    headers: { get: vi.fn().mockReturnValue(null) },
-    json: vi.fn().mockResolvedValue({ message: "ok" }),
-  });
-  vi.stubGlobal("fetch", fetchMock);
-  return fetchMock;
+	const fetchMock = vi.fn().mockResolvedValue({
+		ok: true,
+		status: 200,
+		headers: { get: vi.fn().mockReturnValue(null) },
+		json: vi.fn().mockResolvedValue({ message: "ok" }),
+	});
+	vi.stubGlobal("fetch", fetchMock);
+	return fetchMock;
 }
 
 beforeEach(() => {
-  vi.restoreAllMocks();
-  vi.unstubAllGlobals();
+	vi.restoreAllMocks();
+	vi.unstubAllGlobals();
 });
 
 describe("deleteEntities", () => {
-  it("returns all results keyed by entity type for a multi-entity delete", async () => {
-    const backend = makeBackend();
-    const responses: Record<string, unknown> = {
-      "/v2/entities/user/alice/": { message: "user deleted" },
-      "/v2/entities/agent/bob/": { message: "agent deleted" },
-    };
-    const spy = vi
-      // biome-ignore lint/suspicious/noExplicitAny: spying on a private method
-      .spyOn(backend as any, "_request")
-      .mockImplementation(async (_method: string, path: string) => responses[path]);
+	it("returns all results keyed by entity type for a multi-entity delete", async () => {
+		const backend = makeBackend();
+		const responses: Record<string, unknown> = {
+			"/v2/entities/user/alice/": { message: "user deleted" },
+			"/v2/entities/agent/bob/": { message: "agent deleted" },
+		};
+		const spy = vi
+			// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
+			.spyOn(backend as any, "_request")
+			.mockImplementation(
+				async (_method: string, path: string) => responses[path],
+			);
 
-    const result = await backend.deleteEntities({ userId: "alice", agentId: "bob" });
+		const result = await backend.deleteEntities({
+			userId: "alice",
+			agentId: "bob",
+		});
 
-    // Regression: previously only the last entity's response survived.
-    expect(result).toEqual({
-      user: { message: "user deleted" },
-      agent: { message: "agent deleted" },
-    });
-    expect(spy).toHaveBeenCalledTimes(2);
-  });
+		expect(result).toEqual({
+			user: { message: "user deleted" },
+			agent: { message: "agent deleted" },
+		});
+		expect(spy).toHaveBeenCalledTimes(2);
+	});
 
-  it("keys a single-entity delete by its type", async () => {
-    const backend = makeBackend();
-    // biome-ignore lint/suspicious/noExplicitAny: spying on a private method
-    vi.spyOn(backend as any, "_request").mockResolvedValue({ message: "user deleted" });
+	it("keys a single-entity delete by its type", async () => {
+		const backend = makeBackend();
+		// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
+		vi.spyOn(backend as any, "_request").mockResolvedValue({
+			message: "user deleted",
+		});
 
-    const result = await backend.deleteEntities({ userId: "alice" });
-    expect(result).toEqual({ user: { message: "user deleted" } });
-  });
+		const result = await backend.deleteEntities({ userId: "alice" });
+		expect(result).toEqual({ user: { message: "user deleted" } });
+	});
 
-  it("throws when no entity id is provided", async () => {
-    const backend = makeBackend();
-    await expect(backend.deleteEntities({})).rejects.toThrow(
-      "At least one entity ID is required",
-    );
-  });
+	it("throws when no entity id is provided", async () => {
+		const backend = makeBackend();
+		await expect(backend.deleteEntities({})).rejects.toThrow(
+			"At least one entity ID is required",
+		);
+	});
+});
+
+describe("PlatformBackend option-parity payloads (MEM-5893)", () => {
+	it("add: custom_instructions, custom_categories, structured_data_schema, timestamp reach the payload alongside existing fields", async () => {
+		const backend = makeBackend();
+		const spy = vi
+			// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
+			.spyOn(backend as any, "_request")
+			.mockResolvedValue({ results: [] });
+
+		await backend.add("hello", undefined, {
+			userId: "alice",
+			metadata: { source: "test" },
+			expires: "2099-01-01",
+			customInstructions: "Extract only preferences.",
+			customCategories: [{ prefs: "user preferences" }],
+			structuredDataSchema: { type: "object" },
+			timestamp: 1700000000,
+		});
+
+		const payload = spy.mock.calls[0][2].json;
+		expect(payload.custom_instructions).toBe("Extract only preferences.");
+		expect(payload.custom_categories).toEqual([{ prefs: "user preferences" }]);
+		expect(payload.structured_data_schema).toEqual({ type: "object" });
+		expect(payload.timestamp).toBe(1700000000);
+		expect(payload.metadata).toEqual({ source: "test" });
+		expect(payload.expiration_date).toBe("2099-01-01");
+	});
+
+	it("add: omitted optional fields are absent from the payload", async () => {
+		const backend = makeBackend();
+		const spy = vi
+			// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
+			.spyOn(backend as any, "_request")
+			.mockResolvedValue({ results: [] });
+
+		await backend.add("hello", undefined, { userId: "alice" });
+
+		const payload = spy.mock.calls[0][2].json;
+		expect(payload).not.toHaveProperty("custom_instructions");
+		expect(payload).not.toHaveProperty("custom_categories");
+		expect(payload).not.toHaveProperty("structured_data_schema");
+		expect(payload).not.toHaveProperty("timestamp");
+	});
+
+	it("search: show_expired, reference_date, latest_only reach the payload", async () => {
+		const backend = makeBackend();
+		// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
+		const spy = vi.spyOn(backend as any, "_request").mockResolvedValue([]);
+
+		await backend.search("query", {
+			showExpired: true,
+			referenceDate: "2024-01-01",
+			latestOnly: true,
+		});
+
+		const payload = spy.mock.calls[0][2].json;
+		expect(payload.show_expired).toBe(true);
+		expect(payload.reference_date).toBe("2024-01-01");
+		expect(payload.latest_only).toBe(true);
+	});
+
+	it("search: keyword_search and fields reach the payload", async () => {
+		const backend = makeBackend();
+		// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
+		const spy = vi.spyOn(backend as any, "_request").mockResolvedValue([]);
+
+		await backend.search("query", {
+			keyword: true,
+			fields: ["memory", "score"],
+		});
+
+		const payload = spy.mock.calls[0][2].json;
+		expect(payload.keyword_search).toBe(true);
+		expect(payload.fields).toEqual(["memory", "score"]);
+	});
+
+	it("search: omitted keyword and fields are absent from the payload", async () => {
+		const backend = makeBackend();
+		// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
+		const spy = vi.spyOn(backend as any, "_request").mockResolvedValue([]);
+
+		await backend.search("query", {});
+
+		const payload = spy.mock.calls[0][2].json;
+		expect(payload).not.toHaveProperty("keyword_search");
+		expect(payload).not.toHaveProperty("fields");
+	});
+
+	it("listMemories: show_expired and latest_only are top-level, not nested inside filters", async () => {
+		const backend = makeBackend();
+		// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
+		const spy = vi.spyOn(backend as any, "_request").mockResolvedValue([]);
+
+		await backend.listMemories({
+			userId: "alice",
+			showExpired: true,
+			latestOnly: true,
+		});
+
+		const payload = spy.mock.calls[0][2].json;
+		expect(payload.show_expired).toBe(true);
+		expect(payload.latest_only).toBe(true);
+		expect(payload.filters ?? {}).not.toHaveProperty("show_expired");
+		expect(payload.filters ?? {}).not.toHaveProperty("latest_only");
+	});
+
+	it("update: expiration_date and timestamp reach the payload", async () => {
+		const backend = makeBackend();
+		// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
+		const spy = vi.spyOn(backend as any, "_request").mockResolvedValue({});
+
+		await backend.update("mem-123", undefined, undefined, {
+			expirationDate: "2099-01-01",
+			timestamp: 1700000000,
+		});
+
+		const payload = spy.mock.calls[0][2].json;
+		expect(payload.expiration_date).toBe("2099-01-01");
+		expect(payload.timestamp).toBe(1700000000);
+	});
+
+	it("delete: delete_linked is a query param, not part of the JSON body", async () => {
+		const backend = makeBackend();
+		// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
+		const spy = vi.spyOn(backend as any, "_request").mockResolvedValue({});
+
+		await backend.delete("mem-123", { deleteLinked: true });
+
+		const opts = spy.mock.calls[0][2];
+		expect(opts.params.delete_linked).toBe("true");
+		expect(opts.json).toBeUndefined();
+	});
 });
 
 describe("PlatformBackend path encoding", () => {
-  it("encodes memory IDs before interpolating them into paths", async () => {
-    const fetchMock = mockFetch();
-    const backend = makeBackend();
+	it("encodes memory IDs before interpolating them into paths", async () => {
+		const fetchMock = mockFetch();
+		const backend = makeBackend();
 
-    await backend.get("mem/a?b#c");
-    await backend.update("mem/a?b#c", "updated");
-    await backend.delete("mem/a?b#c");
+		await backend.get("mem/a?b#c");
+		await backend.update("mem/a?b#c", "updated");
+		await backend.delete("mem/a?b#c");
 
-    const urls = fetchMock.mock.calls.map((call) => call[0]);
-    expect(urls).toEqual([
-      "https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/?source=CLI",
-      "https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/",
-      "https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/?source=CLI",
-    ]);
-  });
+		const urls = fetchMock.mock.calls.map((call) => call[0]);
+		expect(urls).toEqual([
+			"https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/?source=CLI",
+			"https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/",
+			"https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/?source=CLI",
+		]);
+	});
 
-  it("encodes entity and event IDs before interpolating them into paths", async () => {
-    const fetchMock = mockFetch();
-    const backend = makeBackend();
+	it("encodes entity and event IDs before interpolating them into paths", async () => {
+		const fetchMock = mockFetch();
+		const backend = makeBackend();
 
-    await backend.deleteEntities({ userId: "org/team?active#frag" });
-    await backend.getEvent("evt/a?b#c");
+		await backend.deleteEntities({ userId: "org/team?active#frag" });
+		await backend.getEvent("evt/a?b#c");
 
-    const urls = fetchMock.mock.calls.map((call) => call[0]);
-    expect(urls).toEqual([
-      "https://api.mem0.ai/v2/entities/user/org%2Fteam%3Factive%23frag/?source=CLI",
-      "https://api.mem0.ai/v1/event/evt%2Fa%3Fb%23c/",
-    ]);
-  });
+		const urls = fetchMock.mock.calls.map((call) => call[0]);
+		expect(urls).toEqual([
+			"https://api.mem0.ai/v2/entities/user/org%2Fteam%3Factive%23frag/?source=CLI",
+			"https://api.mem0.ai/v1/event/evt%2Fa%3Fb%23c/",
+		]);
+	});
 });

cli/python/README.md

@@ -241,14 +241,6 @@ Verify your API connection and display the current project.
 mem0 status
 ```
 
-### `mem0 version`
-
-Print the CLI version.
-
-```bash
-mem0 version
-```
-
 ## Agent mode
 
 Pass `--agent` (or its alias `--json`) as a **global flag** on any command to get output designed for AI agent tool loops:
@@ -307,6 +299,8 @@ These flags are available on all commands:
 | `--base-url` | Override the configured API base URL for this request |
 | `-o, --output` | Set the output format |
 
+`mem0 --version` prints the CLI version. It is only valid before a subcommand, not after one.
+
 ## Environment variables
 
 | Variable | Description |

cli/python/development.md

@@ -80,7 +80,7 @@ mem0 --help
 # Using Python directly (with venv activated)
 source .venv/bin/activate
 mem0 --help
-mem0 version
+mem0 --version
 
 # Or run without activating
 .venv/bin/mem0 --help

cli/python/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "mem0-cli"
-version = "0.2.10"
+version = "0.2.11"
 description = "The official CLI for mem0 — the memory layer for AI agents"
 readme = "README.md"
 license = "Apache-2.0"

cli/python/src/mem0_cli/__init__.py

@@ -1,3 +1,3 @@
 """mem0 CLI — the command-line interface for the mem0 memory layer."""
 
-__version__ = "0.2.10"
+__version__ = "0.2.11"

cli/python/src/mem0_cli/app.py

@@ -273,7 +273,21 @@ def add(
     no_infer: bool = typer.Option(False, "--no-infer", help="Skip inference, store raw."),
     expires: str | None = typer.Option(None, "--expires", help="Expiration date (YYYY-MM-DD)."),
     categories: str | None = typer.Option(
-        None, "--categories", help="Categories (JSON array or comma-separated)."
+        None, "--categories", help="Not supported on add, use --custom-categories instead."
+    ),
+    custom_instructions: str | None = typer.Option(
+        None, "--custom-instructions", help="Custom instructions for fact extraction."
+    ),
+    custom_categories: str | None = typer.Option(
+        None,
+        "--custom-categories",
+        help="Custom categories as a JSON array of {name: description} objects.",
+    ),
+    structured_data_schema: str | None = typer.Option(
+        None, "--structured-data-schema", help="Schema for structured data extraction, as JSON."
+    ),
+    timestamp: int | None = typer.Option(
+        None, "--timestamp", help="Unix timestamp for the memory."
     ),
     output: str = typer.Option(
         "text", "--output", "-o", help="Output format: text, json, quiet.", rich_help_panel="Output"
@@ -312,6 +326,10 @@ def add(
         no_infer=no_infer,
         expires=expires,
         categories=categories,
+        custom_instructions=custom_instructions,
+        custom_categories=custom_categories,
+        structured_data_schema=structured_data_schema,
+        timestamp=timestamp,
         output=output,
     )
 
@@ -355,6 +373,21 @@ def search(
         help="Specific fields to return (comma-separated).",
         rich_help_panel="Search",
     ),
+    show_expired: bool = typer.Option(
+        False, "--show-expired", help="Include expired memories.", rich_help_panel="Search"
+    ),
+    reference_date: str | None = typer.Option(
+        None,
+        "--reference-date",
+        help="Reference date for relative queries (YYYY-MM-DD or unix timestamp).",
+        rich_help_panel="Search",
+    ),
+    latest_only: bool = typer.Option(
+        False,
+        "--latest-only",
+        help="Only return the latest version of each memory.",
+        rich_help_panel="Search",
+    ),
     output: str = typer.Option(
         "text", "--output", "-o", help="Output: text, json, table.", rich_help_panel="Output"
     ),
@@ -398,6 +431,9 @@ def search(
         keyword=keyword,
         filter_json=filter_json,
         fields=fields,
+        show_expired=show_expired,
+        reference_date=reference_date,
+        latest_only=latest_only,
         output=output,
     )
 
@@ -464,6 +500,15 @@ def list_cmd(
     before: str | None = typer.Option(
         None, "--before", help="Created before (YYYY-MM-DD).", rich_help_panel="Filters"
     ),
+    show_expired: bool = typer.Option(
+        False, "--show-expired", help="Include expired memories.", rich_help_panel="Filters"
+    ),
+    latest_only: bool = typer.Option(
+        False,
+        "--latest-only",
+        help="Only return the latest version of each memory.",
+        rich_help_panel="Filters",
+    ),
     output: str = typer.Option(
         "table", "--output", "-o", help="Output: text, json, table.", rich_help_panel="Output"
     ),
@@ -497,6 +542,8 @@ def list_cmd(
         category=category,
         after=after,
         before=before,
+        show_expired=show_expired,
+        latest_only=latest_only,
         output=output,
     )
 
@@ -509,6 +556,10 @@ def update(
     memory_id: str = typer.Argument(..., help="Memory ID to update."),
     text: str | None = typer.Argument(None, help="New memory text."),
     metadata: str | None = typer.Option(None, "--metadata", "-m", help="Update metadata (JSON)."),
+    expires: str | None = typer.Option(None, "--expires", help="Expiration date (YYYY-MM-DD)."),
+    timestamp: int | None = typer.Option(
+        None, "--timestamp", help="Unix timestamp for the memory."
+    ),
     output: str = typer.Option(
         "text", "--output", "-o", help="Output: text, json, quiet.", rich_help_panel="Output"
     ),
@@ -537,7 +588,15 @@ def update(
         text = _read_stdin()
 
     backend = _get_backend(api_key, base_url)
-    cmd_update(backend, memory_id, text, metadata=metadata, output=output)
+    cmd_update(
+        backend,
+        memory_id,
+        text,
+        metadata=metadata,
+        expires=expires,
+        timestamp=timestamp,
+        output=output,
+    )
 
 
 # ── Memory: delete ────────────────────────────────────────────────────────
@@ -559,6 +618,9 @@ def delete(
         False, "--dry-run", help="Show what would be deleted without deleting."
     ),
     force: bool = typer.Option(False, "--force", help="Skip confirmation."),
+    delete_linked: bool = typer.Option(
+        False, "--delete-linked", help="Also delete memories linked to this memory."
+    ),
     user_id: str | None = typer.Option(
         None, "--user-id", "-u", help="Scope to user.", rich_help_panel="Scope"
     ),
@@ -616,7 +678,14 @@ def delete(
         from mem0_cli.commands.memory import cmd_delete
 
         backend = _get_backend(api_key, base_url)
-        cmd_delete(backend, memory_id, dry_run=dry_run, force=force, output=output)
+        cmd_delete(
+            backend,
+            memory_id,
+            dry_run=dry_run,
+            force=force,
+            delete_linked=delete_linked,
+            output=output,
+        )
 
     elif all_:
         _fire_telemetry("delete", {"delete_mode": "all"})
@@ -1068,7 +1137,11 @@ def _build_help_json() -> dict:
                 "--immutable": "Prevent future updates.",
                 "--no-infer": "Skip inference, store raw.",
                 "--expires": "Expiration date (YYYY-MM-DD).",
-                "--categories": "Categories (JSON array or comma-separated).",
+                "--categories": "Not supported on add, use --custom-categories instead.",
+                "--custom-instructions": "Custom instructions for fact extraction.",
+                "--custom-categories": "Custom categories as a JSON array of {name: description} objects.",
+                "--structured-data-schema": "Schema for structured data extraction, as JSON.",
+                "--timestamp": "Unix timestamp for the memory.",
                 "--graph": "Enable graph memory extraction.",
                 "--no-graph": "Disable graph memory extraction.",
                 "--output, -o": "Output format: text, json, quiet.",
@@ -1087,6 +1160,9 @@ def _build_help_json() -> dict:
                 "--keyword": "Use keyword search instead of semantic.",
                 "--filter": "Advanced filter expression (JSON).",
                 "--fields": "Specific fields to return (comma-separated).",
+                "--show-expired": "Include expired memories.",
+                "--reference-date": "Reference date for relative queries (YYYY-MM-DD or unix timestamp).",
+                "--latest-only": "Only return the latest version of each memory.",
                 "--graph": "Enable graph in search.",
                 "--no-graph": "Disable graph in search.",
                 "--output, -o": "Output format: text, json, table.",
@@ -1110,6 +1186,8 @@ def _build_help_json() -> dict:
                 "--category": "Filter by category.",
                 "--after": "Created after (YYYY-MM-DD).",
                 "--before": "Created before (YYYY-MM-DD).",
+                "--show-expired": "Include expired memories.",
+                "--latest-only": "Only return the latest version of each memory.",
                 "--graph": "Enable graph in listing.",
                 "--no-graph": "Disable graph in listing.",
                 "--output, -o": "Output format: text, json, table.",
@@ -1124,6 +1202,8 @@ def _build_help_json() -> dict:
             },
             "options": {
                 "--metadata, -m": "Update metadata (JSON).",
+                "--expires": "Expiration date (YYYY-MM-DD).",
+                "--timestamp": "Unix timestamp for the memory.",
                 "--output, -o": "Output format: text, json, quiet.",
             },
         },
@@ -1140,6 +1220,7 @@ def _build_help_json() -> dict:
                 "--all": "Delete all memories matching scope filters.",
                 "--entity": "Delete the entity itself and all its memories (cascade).",
                 "--project": "With --all: delete ALL memories project-wide.",
+                "--delete-linked": "Also delete memories linked to this memory.",
                 "--dry-run": "Show what would be deleted without deleting.",
                 "--force": "Skip confirmation.",
                 "--user-id, -u": "Scope to user.",
@@ -1269,8 +1350,10 @@ def help(
       mem0 help
       mem0 help --json
     """
-    if json:
-        console.print(_json.dumps(_build_help_json(), indent=2))
+    from mem0_cli.state import is_agent_mode
+
+    if json or is_agent_mode():
+        console.print_json(_json.dumps(_build_help_json()))
     else:
         console.print(
             f"[{BRAND_COLOR}]◆ mem0 CLI[/] v{__version__} — The Memory Layer for AI Agents\n"

cli/python/src/mem0_cli/backend/base.py

@@ -25,7 +25,10 @@ class Backend(ABC):
         immutable: bool = False,
         infer: bool = True,
         expires: str | None = None,
-        categories: list[str] | None = None,
+        custom_instructions: str | None = None,
+        custom_categories: list[dict] | None = None,
+        structured_data_schema: dict | None = None,
+        timestamp: int | None = None,
     ) -> dict: ...
 
     @abstractmethod
@@ -43,6 +46,9 @@ class Backend(ABC):
         keyword: bool = False,
         filters: dict | None = None,
         fields: list[str] | None = None,
+        show_expired: bool = False,
+        reference_date: str | None = None,
+        latest_only: bool = False,
     ) -> list[dict]: ...
 
     @abstractmethod
@@ -61,11 +67,19 @@ class Backend(ABC):
         category: str | None = None,
         after: str | None = None,
         before: str | None = None,
+        show_expired: bool = False,
+        latest_only: bool = False,
     ) -> list[dict]: ...
 
     @abstractmethod
     def update(
-        self, memory_id: str, content: str | None = None, metadata: dict | None = None
+        self,
+        memory_id: str,
+        content: str | None = None,
+        metadata: dict | None = None,
+        *,
+        expiration_date: str | None = None,
+        timestamp: int | None = None,
     ) -> dict: ...
 
     @abstractmethod
@@ -78,6 +92,7 @@ class Backend(ABC):
         agent_id: str | None = None,
         app_id: str | None = None,
         run_id: str | None = None,
+        delete_linked: bool = False,
     ) -> dict: ...
 
     @abstractmethod

cli/python/src/mem0_cli/backend/platform.py

@@ -87,7 +87,10 @@ class PlatformBackend(Backend):
         immutable: bool = False,
         infer: bool = True,
         expires: str | None = None,
-        categories: list[str] | None = None,
+        custom_instructions: str | None = None,
+        custom_categories: list[dict] | None = None,
+        structured_data_schema: dict | None = None,
+        timestamp: int | None = None,
     ) -> dict:
         payload: dict[str, Any] = {}
 
@@ -112,8 +115,14 @@ class PlatformBackend(Backend):
             payload["infer"] = False
         if expires:
             payload["expiration_date"] = expires
-        if categories:
-            payload["categories"] = categories
+        if custom_instructions:
+            payload["custom_instructions"] = custom_instructions
+        if custom_categories:
+            payload["custom_categories"] = custom_categories
+        if structured_data_schema:
+            payload["structured_data_schema"] = structured_data_schema
+        if timestamp is not None:
+            payload["timestamp"] = timestamp
         payload["source"] = "CLI"
 
         return self._request("POST", "/v3/memories/add/", json=payload)
@@ -173,6 +182,9 @@ class PlatformBackend(Backend):
         keyword: bool = False,
         filters: dict | None = None,
         fields: list[str] | None = None,
+        show_expired: bool = False,
+        reference_date: str | None = None,
+        latest_only: bool = False,
     ) -> list[dict]:
         payload: dict[str, Any] = {"query": query, "top_k": top_k, "threshold": threshold}
 
@@ -191,6 +203,12 @@ class PlatformBackend(Backend):
             payload["keyword_search"] = True
         if fields:
             payload["fields"] = fields
+        if show_expired:
+            payload["show_expired"] = True
+        if reference_date is not None:
+            payload["reference_date"] = reference_date
+        if latest_only:
+            payload["latest_only"] = True
         payload["source"] = "CLI"
 
         result = self._request("POST", "/v3/memories/search/", json=payload)
@@ -219,6 +237,8 @@ class PlatformBackend(Backend):
         category: str | None = None,
         after: str | None = None,
         before: str | None = None,
+        show_expired: bool = False,
+        latest_only: bool = False,
     ) -> list[dict]:
         payload: dict[str, Any] = {}
         params = {"page": str(page), "page_size": str(page_size)}
@@ -241,6 +261,10 @@ class PlatformBackend(Backend):
         )
         if api_filters:
             payload["filters"] = api_filters
+        if show_expired:
+            payload["show_expired"] = True
+        if latest_only:
+            payload["latest_only"] = True
         payload["source"] = "CLI"
 
         result = self._request("POST", "/v3/memories/", json=payload, params=params)
@@ -251,13 +275,23 @@ class PlatformBackend(Backend):
         )
 
     def update(
-        self, memory_id: str, content: str | None = None, metadata: dict | None = None
+        self,
+        memory_id: str,
+        content: str | None = None,
+        metadata: dict | None = None,
+        *,
+        expiration_date: str | None = None,
+        timestamp: int | None = None,
     ) -> dict:
         payload: dict[str, Any] = {}
         if content:
             payload["text"] = content
         if metadata:
             payload["metadata"] = metadata
+        if expiration_date:
+            payload["expiration_date"] = expiration_date
+        if timestamp is not None:
+            payload["timestamp"] = timestamp
         payload["source"] = "CLI"
         return self._request(
             "PUT",
@@ -274,6 +308,7 @@ class PlatformBackend(Backend):
         agent_id: str | None = None,
         app_id: str | None = None,
         run_id: str | None = None,
+        delete_linked: bool = False,
     ) -> dict:
         if all:
             params: dict[str, str] = {"source": "CLI"}
@@ -287,10 +322,13 @@ class PlatformBackend(Backend):
                 params["run_id"] = run_id
             return self._request("DELETE", "/v1/memories/", params=params)
         elif memory_id:
+            params = {"source": "CLI"}
+            if delete_linked:
+                params["delete_linked"] = "true"
             return self._request(
                 "DELETE",
                 f"/v1/memories/{_encode_path_segment(memory_id)}/",
-                params={"source": "CLI"},
+                params=params,
             )
         else:
             raise ValueError("Either memory_id or --all is required")

cli/python/src/mem0_cli/commands/memory.py

@@ -4,9 +4,11 @@ from __future__ import annotations
 
 import json
 import os
+import re
 import stat as _stat_mod
 import sys
 import time as _time
+from datetime import date
 from pathlib import Path
 
 import typer
@@ -47,6 +49,18 @@ def _stdin_is_piped() -> bool:
         return False
 
 
+def _validate_expires(value: str) -> None:
+    """Exit 1 if value is not a future YYYY-MM-DD date."""
+    if not re.match(r"^\d{4}-\d{2}-\d{2}$", value):
+        print_error(
+            err_console, "Invalid date format for --expires. Use YYYY-MM-DD (e.g. 2025-12-31)."
+        )
+        raise typer.Exit(1)
+    if date.fromisoformat(value) <= date.today():
+        print_error(err_console, "--expires date must be in the future.")
+        raise typer.Exit(1)
+
+
 def cmd_add(
     backend: Backend,
     text: str | None,
@@ -62,6 +76,10 @@ def cmd_add(
     no_infer: bool,
     expires: str | None,
     categories: str | None,
+    custom_instructions: str | None = None,
+    custom_categories: str | None = None,
+    structured_data_schema: str | None = None,
+    timestamp: int | None = None,
     output: str = "text",
 ) -> None:
     """Add a memory."""
@@ -70,6 +88,13 @@ def cmd_add(
     set_current_command("add")
     if is_agent_mode():
         output = "agent"
+
+    if categories:
+        print_error(
+            err_console, "--categories is not supported on add. Use --custom-categories instead."
+        )
+        raise typer.Exit(1)
+
     msgs = None
     content = text
 
@@ -108,27 +133,24 @@ def cmd_add(
             print_error(err_console, "Invalid JSON in --metadata.")
             raise typer.Exit(1) from None
 
-    cats = None
-    if categories:
+    custom_cats = None
+    if custom_categories:
         try:
-            cats = json.loads(categories)
+            custom_cats = json.loads(custom_categories)
         except json.JSONDecodeError:
-            cats = [c.strip() for c in categories.split(",")]
+            print_error(err_console, "Invalid JSON in --custom-categories.")
+            raise typer.Exit(1) from None
+
+    schema = None
+    if structured_data_schema:
+        try:
+            schema = json.loads(structured_data_schema)
+        except json.JSONDecodeError:
+            print_error(err_console, "Invalid JSON in --structured-data-schema.")
+            raise typer.Exit(1) from None
 
-    # Validate --expires
     if expires:
-        import re
-
-        if not re.match(r"^\d{4}-\d{2}-\d{2}$", expires):
-            print_error(
-                err_console, "Invalid date format for --expires. Use YYYY-MM-DD (e.g. 2025-12-31)."
-            )
-            raise typer.Exit(1)
-        from datetime import date
-
-        if date.fromisoformat(expires) <= date.today():
-            print_error(err_console, "--expires date must be in the future.")
-            raise typer.Exit(1)
+        _validate_expires(expires)
 
     with timed_status(err_console, "Adding memory...") as ts:
         try:
@@ -143,7 +165,10 @@ def cmd_add(
                 immutable=immutable,
                 infer=not no_infer,
                 expires=expires,
-                categories=cats,
+                custom_instructions=custom_instructions,
+                custom_categories=custom_cats,
+                structured_data_schema=schema,
+                timestamp=timestamp,
             )
         except Exception as e:
             ts.error_msg = str(e)
@@ -224,6 +249,9 @@ def cmd_search(
     keyword: bool,
     filter_json: str | None,
     fields: str | None,
+    show_expired: bool = False,
+    reference_date: str | None = None,
+    latest_only: bool = False,
     output: str = "text",
 ) -> None:
     """Search memories."""
@@ -266,6 +294,9 @@ def cmd_search(
                 keyword=keyword,
                 filters=filters,
                 fields=field_list,
+                show_expired=show_expired,
+                reference_date=reference_date,
+                latest_only=latest_only,
             )
         except Exception as e:
             print_error(err_console, str(e))
@@ -352,6 +383,8 @@ def cmd_list(
     category: str | None,
     after: str | None,
     before: str | None,
+    show_expired: bool = False,
+    latest_only: bool = False,
     output: str = "table",
 ) -> None:
     """List memories."""
@@ -380,6 +413,8 @@ def cmd_list(
                 category=category,
                 after=after,
                 before=before,
+                show_expired=show_expired,
+                latest_only=latest_only,
             )
         except Exception as e:
             print_error(err_console, str(e))
@@ -446,6 +481,8 @@ def cmd_update(
     text: str | None,
     *,
     metadata: str | None,
+    expires: str | None = None,
+    timestamp: int | None = None,
     output: str,
 ) -> None:
     """Update a memory."""
@@ -462,10 +499,19 @@ def cmd_update(
             print_error(err_console, "Invalid JSON in --metadata.")
             raise typer.Exit(1) from None
 
+    if expires:
+        _validate_expires(expires)
+
     _start = _time.perf_counter()
     with timed_status(err_console, "Updating memory...") as _ts:
         try:
-            result = backend.update(memory_id, content=text, metadata=meta)
+            result = backend.update(
+                memory_id,
+                content=text,
+                metadata=meta,
+                expiration_date=expires,
+                timestamp=timestamp,
+            )
         except Exception as e:
             print_error(err_console, str(e))
             raise typer.Exit(1) from None
@@ -490,6 +536,7 @@ def cmd_delete(
     *,
     dry_run: bool = False,
     force: bool = False,
+    delete_linked: bool = False,
     output: str,
 ) -> None:
     """Delete a single memory by ID."""
@@ -512,7 +559,7 @@ def cmd_delete(
     _start = _time.perf_counter()
     with timed_status(err_console, "Deleting...") as _ts:
         try:
-            result = backend.delete(memory_id=memory_id)
+            result = backend.delete(memory_id=memory_id, delete_linked=delete_linked)
         except Exception as e:
             print_error(err_console, str(e))
             raise typer.Exit(1) from None

cli/python/src/mem0_cli/output.py

@@ -262,16 +262,32 @@ def sanitize_agent_data(command: str, data: Any) -> Any:
         return result
 
     if command == "search":
-        return [pick(r, ["id", "memory", "score", "created_at", "categories"]) for r in data]
+        return [
+            pick(r, ["id", "memory", "score", "created_at", "categories", "expiration_date"])
+            for r in data
+        ]
 
     if command == "list":
-        return [pick(r, ["id", "memory", "created_at", "categories"]) for r in data]
+        return [
+            pick(r, ["id", "memory", "created_at", "categories", "expiration_date"]) for r in data
+        ]
 
     if command == "get":
-        return pick(data, ["id", "memory", "created_at", "updated_at", "categories", "metadata"])
+        return pick(
+            data,
+            [
+                "id",
+                "memory",
+                "created_at",
+                "updated_at",
+                "categories",
+                "metadata",
+                "expiration_date",
+            ],
+        )
 
     if command == "update":
-        return pick(data, ["id", "memory"])
+        return pick(data, ["id", "memory", "expiration_date"])
 
     if command in ("delete", "delete-all", "entity delete"):
         return data

cli/python/tests/test_cli_integration.py

@@ -7,6 +7,7 @@ boundaries).
 
 from __future__ import annotations
 
+import json
 import os
 import re
 import subprocess
@@ -84,6 +85,31 @@ class TestCLIIntegration:
         assert "add" in result.stdout
         assert "search" in result.stdout
 
+    def test_version_flag_only(self):
+        from mem0_cli import __version__
+
+        flag = _run(["--version"])
+        assert flag.returncode == 0
+        assert __version__ in flag.stdout
+        assert _run(["version"]).returncode != 0
+
+    @pytest.mark.parametrize(
+        "args",
+        [["help", "--json"], ["--json", "help"], ["help", "--agent"], ["--agent", "help"]],
+    )
+    def test_help_json_produces_valid_json(self, args):
+        result = _run(args)
+        assert result.returncode == 0
+        spec = json.loads(result.stdout)
+        assert spec["name"] == "mem0"
+        assert "add" in spec["commands"]
+
+    def test_help_without_json_is_text(self):
+        result = _run(["help"])
+        assert result.returncode == 0
+        with pytest.raises(json.JSONDecodeError):
+            json.loads(result.stdout)
+
     def test_add_help(self):
         result = _run(["add", "--help"])
         assert result.returncode == 0

cli/python/tests/test_commands.py

@@ -252,12 +252,13 @@ class TestAddCommand:
             )
         mock_backend.add.assert_called_once()
 
-    def test_add_categories_csv(self, mock_backend):
+    def test_add_categories_rejected(self, mock_backend):
         console, _buf = _make_console()
-        err_console, _err_buf = _make_err_console()
+        err_console, err_buf = _make_err_console()
         with (
             patch("mem0_cli.commands.memory.console", console),
             patch("mem0_cli.commands.memory.err_console", err_console),
+            pytest.raises((SystemExit, TyperExit)),
         ):
             cmd_add(
                 mock_backend,
@@ -275,7 +276,93 @@ class TestAddCommand:
                 categories="health,prefs",
                 output="text",
             )
-        mock_backend.add.assert_called_once()
+        assert "--custom-categories" in err_buf.getvalue()
+        mock_backend.add.assert_not_called()
+
+    def test_add_invalid_custom_categories_json(self, mock_backend):
+        console, _buf = _make_console()
+        err_console, err_buf = _make_err_console()
+        with (
+            patch("mem0_cli.commands.memory.console", console),
+            patch("mem0_cli.commands.memory.err_console", err_console),
+            pytest.raises((SystemExit, TyperExit)),
+        ):
+            cmd_add(
+                mock_backend,
+                "test",
+                user_id="alice",
+                agent_id=None,
+                app_id=None,
+                run_id=None,
+                messages=None,
+                file=None,
+                metadata=None,
+                immutable=False,
+                no_infer=False,
+                expires=None,
+                categories=None,
+                custom_categories="not-json",
+                output="text",
+            )
+        assert "--custom-categories" in err_buf.getvalue()
+        mock_backend.add.assert_not_called()
+
+    def test_add_invalid_structured_data_schema_json(self, mock_backend):
+        console, _buf = _make_console()
+        err_console, err_buf = _make_err_console()
+        with (
+            patch("mem0_cli.commands.memory.console", console),
+            patch("mem0_cli.commands.memory.err_console", err_console),
+            pytest.raises((SystemExit, TyperExit)),
+        ):
+            cmd_add(
+                mock_backend,
+                "test",
+                user_id="alice",
+                agent_id=None,
+                app_id=None,
+                run_id=None,
+                messages=None,
+                file=None,
+                metadata=None,
+                immutable=False,
+                no_infer=False,
+                expires=None,
+                categories=None,
+                structured_data_schema="not-json",
+                output="text",
+            )
+        assert "--structured-data-schema" in err_buf.getvalue()
+        mock_backend.add.assert_not_called()
+
+    def test_add_regression_metadata_expiration_custom_categories_together(self, mock_backend):
+        console, _buf = _make_console()
+        err_console, _err_buf = _make_err_console()
+        with (
+            patch("mem0_cli.commands.memory.console", console),
+            patch("mem0_cli.commands.memory.err_console", err_console),
+        ):
+            cmd_add(
+                mock_backend,
+                "test",
+                user_id="alice",
+                agent_id=None,
+                app_id=None,
+                run_id=None,
+                messages=None,
+                file=None,
+                metadata='{"source": "test"}',
+                immutable=False,
+                no_infer=False,
+                expires="2099-01-01",
+                categories=None,
+                custom_categories='[{"prefs": "user preferences"}]',
+                output="text",
+            )
+        call_kwargs = mock_backend.add.call_args.kwargs
+        assert call_kwargs["metadata"] == {"source": "test"}
+        assert call_kwargs["expires"] == "2099-01-01"
+        assert call_kwargs["custom_categories"] == [{"prefs": "user preferences"}]
 
 
 class TestAddDeduplicatesPending:
@@ -464,6 +551,36 @@ class TestSearchCommand:
             )
         mock_backend.search.assert_called_once()
 
+    def test_search_new_flags_reach_backend(self, mock_backend):
+        console, _buf = _make_console()
+        err_console, _err_buf = _make_err_console()
+        with (
+            patch("mem0_cli.commands.memory.console", console),
+            patch("mem0_cli.commands.memory.err_console", err_console),
+        ):
+            cmd_search(
+                mock_backend,
+                "preferences",
+                user_id="alice",
+                agent_id=None,
+                app_id=None,
+                run_id=None,
+                top_k=10,
+                threshold=0.3,
+                rerank=False,
+                keyword=False,
+                filter_json=None,
+                fields=None,
+                show_expired=True,
+                reference_date="2024-01-01",
+                latest_only=True,
+                output="text",
+            )
+        call_kwargs = mock_backend.search.call_args.kwargs
+        assert call_kwargs["show_expired"] is True
+        assert call_kwargs["reference_date"] == "2024-01-01"
+        assert call_kwargs["latest_only"] is True
+
 
 class TestGetCommand:
     def test_get_text(self, mock_backend):
@@ -561,6 +678,32 @@ class TestListCommand:
         output = buf.getvalue()
         assert "No memories found" in output
 
+    def test_list_new_flags_reach_backend(self, mock_backend):
+        console, _buf = _make_console()
+        err_console, _err_buf = _make_err_console()
+        with (
+            patch("mem0_cli.commands.memory.console", console),
+            patch("mem0_cli.commands.memory.err_console", err_console),
+        ):
+            cmd_list(
+                mock_backend,
+                user_id="alice",
+                agent_id=None,
+                app_id=None,
+                run_id=None,
+                page=1,
+                page_size=100,
+                category=None,
+                after=None,
+                before=None,
+                show_expired=True,
+                latest_only=True,
+                output="table",
+            )
+        call_kwargs = mock_backend.list_memories.call_args.kwargs
+        assert call_kwargs["show_expired"] is True
+        assert call_kwargs["latest_only"] is True
+
 
 class TestUpdateCommand:
     def test_update(self, mock_backend):
@@ -585,6 +728,26 @@ class TestUpdateCommand:
         output = buf.getvalue()
         assert '"memory"' in output
 
+    def test_update_new_fields_reach_backend(self, mock_backend):
+        console, _buf = _make_console()
+        err_console, _err_buf = _make_err_console()
+        with (
+            patch("mem0_cli.commands.memory.console", console),
+            patch("mem0_cli.commands.memory.err_console", err_console),
+        ):
+            cmd_update(
+                mock_backend,
+                "abc-123",
+                "New text",
+                metadata=None,
+                expires="2099-01-01",
+                timestamp=1700000000,
+                output="text",
+            )
+        call_kwargs = mock_backend.update.call_args.kwargs
+        assert call_kwargs["expiration_date"] == "2099-01-01"
+        assert call_kwargs["timestamp"] == 1700000000
+
 
 class TestDeleteCommand:
     def test_delete_single(self, mock_backend):
@@ -610,6 +773,17 @@ class TestDeleteCommand:
         assert "dry run" in output.lower()
         mock_backend.delete.assert_not_called()
 
+    def test_delete_linked_reaches_backend(self, mock_backend):
+        console, _buf = _make_console()
+        err_console, _err_buf = _make_err_console()
+        with (
+            patch("mem0_cli.commands.memory.console", console),
+            patch("mem0_cli.commands.memory.err_console", err_console),
+        ):
+            cmd_delete(mock_backend, "abc-123", delete_linked=True, output="text")
+        call_kwargs = mock_backend.delete.call_args.kwargs
+        assert call_kwargs["delete_linked"] is True
+
 
 class TestDeleteAllCommand:
     def test_delete_all_force(self, mock_backend):

cli/python/tests/test_option_parity.py

@@ -0,0 +1,102 @@
+"""Drift test: every documented v3 add/search/list param must be reachable from the Python CLI."""
+
+import json
+from pathlib import Path
+
+import typer.main
+
+from mem0_cli.app import app
+
+REPO_ROOT = Path(__file__).resolve().parents[3]
+OPENAPI_PATH = REPO_ROOT / "docs" / "openapi.json"
+
+KNOWN_UNSURFACED: dict[tuple[str, str], str] = {
+    ("/v3/memories/add/", "includes"): "extraction hint, no CLI flag yet",
+    ("/v3/memories/add/", "excludes"): "extraction hint, no CLI flag yet",
+    ("/v3/memories/add/", "enable_graph"): "graph memory toggle, no CLI flag yet",
+    ("/v3/memories/add/", "output_format"): "response envelope is pinned by the CLI",
+    ("/v3/memories/add/", "prompt_profile_id"): "no CLI flag yet",
+    ("/v3/memories/add/", "temporal_reasoning"): "no CLI flag yet",
+    ("/v3/memories/add/", "timezone"): "no CLI flag yet",
+    ("/v3/memories/add/", "observation_datetime"): "no CLI flag yet, --timestamp backdates instead",
+    ("/v3/memories/add/", "observation_date"): "no CLI flag yet, --timestamp backdates instead",
+    ("/v3/memories/search/", "categories"): "expressible through --filter",
+    ("/v3/memories/search/", "metadata"): "expressible through --filter",
+    ("/v3/memories/", "start_date"): "covered by --after via filters.created_at.gte",
+    ("/v3/memories/", "end_date"): "covered by --before via filters.created_at.lte",
+    ("/v3/memories/", "categories"): "covered by --category via filters.categories",
+    ("/v3/memories/", "fields"): "no CLI flag yet",
+    ("/v3/memories/", "keywords"): "no CLI flag yet",
+}
+
+ADD_MAPPING: dict[str, list[str]] = {
+    "messages": ["messages", "file", "text"],
+    "user_id": ["user_id"],
+    "agent_id": ["agent_id"],
+    "app_id": ["app_id"],
+    "run_id": ["run_id"],
+    "metadata": ["metadata"],
+    "expiration_date": ["expires"],
+    "custom_instructions": ["custom_instructions"],
+    "custom_categories": ["custom_categories"],
+    "infer": ["no_infer"],
+    "immutable": ["immutable"],
+    "structured_data_schema": ["structured_data_schema"],
+    "timestamp": ["timestamp"],
+}
+
+SEARCH_MAPPING: dict[str, list[str]] = {
+    "query": ["query"],
+    "filters": ["filter_json", "user_id", "agent_id", "run_id"],
+    "show_expired": ["show_expired"],
+    "top_k": ["top_k"],
+    "threshold": ["threshold"],
+    "rerank": ["rerank"],
+    "reference_date": ["reference_date"],
+    "fields": ["fields"],
+}
+
+LIST_MAPPING: dict[str, list[str]] = {
+    "filters": ["user_id", "agent_id", "run_id", "category", "after", "before"],
+    "show_expired": ["show_expired"],
+    "page": ["page"],
+    "page_size": ["page_size"],
+}
+
+
+def _documented_fields(endpoint: str) -> set[str]:
+    spec = json.loads(OPENAPI_PATH.read_text())
+    schema = spec["paths"][endpoint]["post"]["requestBody"]["content"]["application/json"]["schema"]
+    return set(schema["properties"])
+
+
+def _cli_param_names(command_name: str) -> set[str]:
+    click_app = typer.main.get_command(app)
+    command = click_app.commands[command_name]
+    return {param.name for param in command.params}
+
+
+def _assert_all_reachable(endpoint: str, mapping: dict[str, list[str]], command_name: str) -> None:
+    documented = _documented_fields(endpoint)
+    reachable = _cli_param_names(command_name)
+    for field in documented:
+        if (endpoint, field) in KNOWN_UNSURFACED:
+            continue
+        candidates = mapping.get(field)
+        assert candidates, (
+            f"{endpoint}: documented field {field!r} has no mapping entry for command {command_name!r}"
+        )
+        assert any(candidate in reachable for candidate in candidates), (
+            f"{endpoint}: documented field {field!r} not reachable via any of {candidates} on command {command_name!r}"
+        )
+
+
+class TestOptionParity:
+    def test_add_covers_documented_fields(self):
+        _assert_all_reachable("/v3/memories/add/", ADD_MAPPING, "add")
+
+    def test_search_covers_documented_fields(self):
+        _assert_all_reachable("/v3/memories/search/", SEARCH_MAPPING, "search")
+
+    def test_list_covers_documented_fields(self):
+        _assert_all_reachable("/v3/memories/", LIST_MAPPING, "list")

cli/python/tests/test_platform_backend_options.py

@@ -0,0 +1,109 @@
+"""Tests that the MEM-5893 option-parity flags reach the correct request payload/params."""
+
+from __future__ import annotations
+
+from unittest.mock import patch
+
+from mem0_cli.backend.platform import PlatformBackend
+from mem0_cli.config import PlatformConfig
+
+
+def _make_backend() -> PlatformBackend:
+    return PlatformBackend(PlatformConfig(api_key="test-key", base_url="https://api.mem0.ai"))
+
+
+class TestAddOptions:
+    def test_new_fields_and_existing_fields_land_in_payload_together(self):
+        backend = _make_backend()
+        with patch.object(backend, "_request", return_value={"results": []}) as mock_request:
+            backend.add(
+                content="hello",
+                user_id="alice",
+                metadata={"source": "test"},
+                expires="2099-01-01",
+                custom_instructions="Extract only preferences.",
+                custom_categories=[{"prefs": "user preferences"}],
+                structured_data_schema={"type": "object"},
+                timestamp=1700000000,
+            )
+        payload = mock_request.call_args.kwargs["json"]
+        assert payload["custom_instructions"] == "Extract only preferences."
+        assert payload["custom_categories"] == [{"prefs": "user preferences"}]
+        assert payload["structured_data_schema"] == {"type": "object"}
+        assert payload["timestamp"] == 1700000000
+        assert payload["metadata"] == {"source": "test"}
+        assert payload["expiration_date"] == "2099-01-01"
+
+    def test_omitted_fields_are_absent_from_payload(self):
+        backend = _make_backend()
+        with patch.object(backend, "_request", return_value={"results": []}) as mock_request:
+            backend.add(content="hello", user_id="alice")
+        payload = mock_request.call_args.kwargs["json"]
+        assert "custom_instructions" not in payload
+        assert "custom_categories" not in payload
+        assert "structured_data_schema" not in payload
+        assert "timestamp" not in payload
+
+
+class TestSearchOptions:
+    def test_show_expired_reference_date_latest_only_reach_payload(self):
+        backend = _make_backend()
+        with patch.object(backend, "_request", return_value=[]) as mock_request:
+            backend.search(
+                "query",
+                show_expired=True,
+                reference_date="2024-01-01",
+                latest_only=True,
+            )
+        payload = mock_request.call_args.kwargs["json"]
+        assert payload["show_expired"] is True
+        assert payload["reference_date"] == "2024-01-01"
+        assert payload["latest_only"] is True
+
+    def test_keyword_and_fields_reach_payload(self):
+        backend = _make_backend()
+        with patch.object(backend, "_request", return_value=[]) as mock_request:
+            backend.search("query", keyword=True, fields=["memory", "score"])
+        payload = mock_request.call_args.kwargs["json"]
+        assert payload["keyword_search"] is True
+        assert payload["fields"] == ["memory", "score"]
+
+    def test_keyword_and_fields_omitted_are_absent_from_payload(self):
+        backend = _make_backend()
+        with patch.object(backend, "_request", return_value=[]) as mock_request:
+            backend.search("query")
+        payload = mock_request.call_args.kwargs["json"]
+        assert "keyword_search" not in payload
+        assert "fields" not in payload
+
+
+class TestListOptions:
+    def test_show_expired_and_latest_only_are_top_level_not_in_filters(self):
+        backend = _make_backend()
+        with patch.object(backend, "_request", return_value=[]) as mock_request:
+            backend.list_memories(user_id="alice", show_expired=True, latest_only=True)
+        payload = mock_request.call_args.kwargs["json"]
+        assert payload["show_expired"] is True
+        assert payload["latest_only"] is True
+        assert "show_expired" not in payload.get("filters", {})
+        assert "latest_only" not in payload.get("filters", {})
+
+
+class TestUpdateOptions:
+    def test_expires_and_timestamp_reach_payload(self):
+        backend = _make_backend()
+        with patch.object(backend, "_request", return_value={}) as mock_request:
+            backend.update("mem-123", expiration_date="2099-01-01", timestamp=1700000000)
+        payload = mock_request.call_args.kwargs["json"]
+        assert payload["expiration_date"] == "2099-01-01"
+        assert payload["timestamp"] == 1700000000
+
+
+class TestDeleteOptions:
+    def test_delete_linked_is_a_query_param_not_json_body(self):
+        backend = _make_backend()
+        with patch.object(backend, "_request", return_value={}) as mock_request:
+            backend.delete(memory_id="mem-123", delete_linked=True)
+        call = mock_request.call_args
+        assert call.kwargs["params"]["delete_linked"] == "true"
+        assert "json" not in call.kwargs

docs/api-reference/memory/add-memories.mdx

@@ -65,9 +65,8 @@ The request is queued for background processing. The response contains an `event
 <CodeGroup>
 ```json 200 response
 {
-  "message": "Memory processing has been queued for background execution",
-  "status": "PENDING",
-  "event_id": "evt-uuid"
+  "event_id": "evt-uuid",
+  "status": "PENDING"
 }
 ```
 

docs/api-reference/organizations-projects.mdx

@@ -95,6 +95,12 @@ client.project.update(
     custom_instructions="..."
 )
 
+# Separate extraction instructions for agent-scoped memories
+# (see /platform/features/custom-instructions)
+client.project.update(
+    agent_custom_instructions="..."
+)
+
 # Use the input language for memory storage and retrieval
 client.project.update(multilingual=True)
 

docs/changelog/highlights.mdx

@@ -4,6 +4,23 @@ description: "Major product launches, headline features, and milestones for Mem0
 mode: "wide"
 ---
 
+<Update label="2026-07-30" description="n8n and Zapier integrations">
+
+**Workflow Automation: Mem0 Memory in n8n and Zapier**
+
+Mem0 now plugs into two no-code automation platforms, so workflows that used to start from zero on every run can store durable facts and recall them later.
+
+- **n8n community node:** [`@mem0/n8n-nodes-mem0`](https://www.npmjs.com/package/@mem0/n8n-nodes-mem0) adds a **Mem0** node with a Memory resource covering Add, Search, Get, Get Many, Update, and Delete. Install it from **Settings → Community Nodes** on a self-hosted instance, then connect your API key once as a Mem0 API credential. See [n8n](/integrations/n8n).
+- **n8n AI Agent tool:** Attach the same node to an [AI Agent](https://docs.n8n.io/advanced-ai/) node and it becomes a tool the agent calls on its own, so it can decide when to remember and when to recall.
+- **Zapier app:** Add Memory, Search Memories, Get Memories, and Delete Memory actions let any of Zapier's thousands of apps write and read Mem0 context with no code and no server. See [Zapier](/integrations/zapier).
+- **One-time connection:** Both integrations authenticate with a single Mem0 API key and default to `https://api.mem0.ai`, with a configurable base URL for self-hosted deployments.
+
+<Note>
+  The Zapier app is not yet listed in Zapier's public App Directory. Email [support@mem0.ai](mailto:support@mem0.ai) for an invite link.
+</Note>
+
+</Update>
+
 <Update label="2026-07-13" description="TypeScript provider expansion">
 
 **TypeScript OSS SDK: 26 New Providers, Reranking, and Zero-Dependency Imports**

docs/changelog/sdk.mdx

@@ -7,6 +7,45 @@ mode: "wide"
 <Tabs>
 <Tab title="Python">
 
+<Update label="2026-08-05" description="v2.0.17">
+
+**New Features:**
+- **Client:** Add `agent_custom_instructions` to `project.update()`/`update_project()` (sync and async) and to the `ProjectUpdateOptions` and `AddMemoryOptions` typed models. It sets a second extraction instruction set that applies only to agent-scoped memories: an add passing `agent_id` without `user_id` uses it, one passing both splits by attribution, and while it is unset `custom_instructions` continues to apply to every memory ([#6809](https://github.com/mem0ai/mem0/pull/6809))
+
+</Update>
+
+<Update label="2026-08-04" description="v2.0.16">
+
+**New Features:**
+- **Client:** Add `reference_date`, `latest_only`, and `keyword_search` to `SearchMemoryOptions`, and `latest_only` to `GetAllMemoryOptions`, keeping the Python client's typed options in sync with the Platform API and the CLIs ([#6696](https://github.com/mem0ai/mem0/pull/6696))
+
+**Bug Fixes:**
+- **Core:** Stop `add()` metadata from setting a memory's identity scope. `_build_filters_and_metadata()` now strips `user_id`, `agent_id`, `run_id`, and `actor_id` from caller-supplied `metadata` before building the creation template, so metadata can no longer place a memory into a scope that was never passed through the entity params ([#6656](https://github.com/mem0ai/mem0/pull/6656))
+- **Vector Stores:** Validate Upstash filter keys and values in `search()`, `keyword_search()`, and `list()`. Filter keys must match a safe identifier pattern, values must be `str`/`int`/`float`/`bool`, and string values containing a double quote or backslash are now rejected instead of being interpolated unescaped into the generated query string ([#5981](https://github.com/mem0ai/mem0/pull/5981))
+- **Embeddings:** `FastEmbedEmbedding.embed()` now converts its result with `.tolist()` before returning, so callers get a plain `List[float]` instead of a numpy array ([#6770](https://github.com/mem0ai/mem0/pull/6770))
+- **Embeddings:** `HuggingFaceEmbedding` now passes `api_key` to the OpenAI-compatible client when `huggingface_base_url` is set. The configured key was previously dropped, so the client fell back to `OPENAI_API_KEY` from the environment or raised `OpenAIError` at construction when that was unset ([#6770](https://github.com/mem0ai/mem0/pull/6770))
+- **Embeddings:** Replace Ollama's interactive `pip install` prompt on import with a plain `ImportError`. Importing `mem0.embeddings.ollama` without the `ollama` package previously blocked on stdin and then called `sys.exit(1)`, killing the host process instead of raising ([#6770](https://github.com/mem0ai/mem0/pull/6770))
+- **Core:** `remove_code_blocks()` now returns an empty string for `None` input instead of raising `AttributeError` ([#6770](https://github.com/mem0ai/mem0/pull/6770))
+- **Core:** `parse_vision_messages()` now chains the original exception (`raise ... from e`) when an image download fails, so the root cause is preserved in the traceback ([#6770](https://github.com/mem0ai/mem0/pull/6770))
+- **Core:** `process_telemetry_filters(None)` now returns `([], {})`, matching the two-value tuple every caller unpacks, instead of `{}` ([#6770](https://github.com/mem0ai/mem0/pull/6770))
+- **Core:** `LlmFactory.create()` no longer mutates the caller's config dict in place via `.update(kwargs)`; the merge now builds a new dict ([#6770](https://github.com/mem0ai/mem0/pull/6770))
+- **Rerankers:** The Cohere, HuggingFace, SentenceTransformer, and Zero Entropy rerankers' failure-fallback path no longer mutates the caller's document dicts in place when stamping `rerank_score`; it now falls back on copies ([#6770](https://github.com/mem0ai/mem0/pull/6770))
+- **Vector Stores:** Remove `logging.basicConfig()` calls from the MongoDB and Vertex AI Vector Search providers, so selecting either provider no longer reconfigures the host application's root logger as a side effect ([#6770](https://github.com/mem0ai/mem0/pull/6770))
+
+</Update>
+
+<Update label="2026-08-01" description="v2.0.15">
+
+**Bug Fixes:**
+- **Core:** `delete_all()` now paginates through the vector store in batches of 1000 instead of listing once, so accounts with more memories than a single page (most vector stores default to ~100) had the remainder silently left behind ([#6636](https://github.com/mem0ai/mem0/pull/6636))
+- **Vector Stores:** Cap Supabase `search()`/`list()` `top_k` at the `vecs` query limit of 1000 instead of erroring, and fix a `col_info()` crash by reading collection attributes directly instead of calling the removed `describe()` method ([#6695](https://github.com/mem0ai/mem0/pull/6695))
+- **Vector Stores:** Set `size` on Elasticsearch KNN search queries, so results respect `top_k` instead of being capped at Elasticsearch's default of 10 hits ([#5910](https://github.com/mem0ai/mem0/pull/5910))
+
+**Changes:**
+- **Rerankers:** `LLMReranker`'s default model is now `gpt-5-mini` (was `gpt-4o-mini`) ([#6703](https://github.com/mem0ai/mem0/pull/6703))
+
+</Update>
+
 <Update label="2026-07-25" description="v2.0.14">
 
 **New Features:**
@@ -1157,6 +1196,44 @@ See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-
 
 <Tab title="TypeScript">
 
+<Update label="2026-08-05" description="v3.1.5">
+
+**New Features:**
+- **Client:** Add `agentCustomInstructions` to `PromptUpdatePayload`, `AddMemoryOptions`, and `ProjectResponse`. It sets a second extraction instruction set that applies only to agent-scoped memories: an add passing `agentId` without `userId` uses it, one passing both splits by attribution, and while it is unset `customInstructions` continues to apply to every memory ([#6809](https://github.com/mem0ai/mem0/pull/6809))
+
+</Update>
+
+<Update label="2026-08-04" description="v3.1.4">
+
+**New Features:**
+- **Client:** Add `referenceDate` and `keywordSearch` to `SearchMemoryOptions`, keeping the TypeScript client's typed search options in sync with the Platform API ([#6696](https://github.com/mem0ai/mem0/pull/6696))
+
+**Bug Fixes:**
+- **Client:** Take the `/v1/ping/` identity/telemetry call off the request critical path. Every method previously did `if (this.telemetryId === "") await this.ping();`, blocking the first call on each client instance on a network round trip; the ping now resolves in the background through a shared, credentials-keyed promise cache (FIFO-capped at 50 entries), so concurrent clients on the same host/API key share one ping instead of issuing one each, and a failed ping is not cached so the process can retry ([#6788](https://github.com/mem0ai/mem0/pull/6788))
+- **Client:** `deleteUsers()` now issues its per-entity DELETE requests through the shared `fetch()`-based helper instead of the axios instance, which defaulted to `keepAlive: false`. Deleting every user, agent, app, and run now reuses pooled connections instead of paying a fresh TCP/TLS handshake per entity ([#6788](https://github.com/mem0ai/mem0/pull/6788))
+- **Memory (OSS):** Stop `add()` metadata from setting or overwriting a memory's identity scope. Metadata now runs through the same `stripIdentityKeys()` helper as `update()`, so `user_id`/`agent_id`/`run_id` (snake_case or camelCase) and `actor_id` passed in metadata can no longer place a memory into a scope the caller didn't request through `userId`/`agentId`/`runId`/`filters` ([#6377](https://github.com/mem0ai/mem0/pull/6377))
+- **Vector Stores:** Fix Redis `search()` and `list()` building an invalid, empty RediSearch filter expression when `filters` was an empty object or contained only null/undefined values. The shared `buildRedisFilterExpr()` helper now falls back to `"*"` (match all) instead of joining zero conditions into `""` ([#6014](https://github.com/mem0ai/mem0/pull/6014))
+
+</Update>
+
+<Update label="2026-08-01" description="v3.1.3">
+
+**New Features:**
+- **Vector Stores:** Add Qdrant server-side BM25 `keywordSearch()` (requires Qdrant >= 1.15.2) plus payload filter indexes, so keyword search runs without a client-side BM25 dependency ([#5851](https://github.com/mem0ai/mem0/pull/5851))
+
+**Bug Fixes:**
+- **Core:** `deleteAll()` now paginates through the vector store in batches of 1000 instead of listing once, so accounts with more memories than a single page had the remainder silently left behind ([#4872](https://github.com/mem0ai/mem0/pull/4872))
+- **Vector Stores:** Supabase `list()` now paginates past PostgREST's 1000-row cap instead of stopping at the first page, `search()` warns when results may have been truncated by that same cap, and the initialization probe reads a row instead of writing a test vector, so Row Level Security policies that only grant read access no longer fail table verification ([#6695](https://github.com/mem0ai/mem0/pull/6695))
+- **Embeddings:** Honor `TOGETHER_API_BASE` in the Together embedder, matching the Together LLM provider, so a custom gateway URL is no longer silently ignored for embeddings ([#6572](https://github.com/mem0ai/mem0/pull/6572))
+
+**Changes:**
+- **Rerankers:** `RerankerFactory`'s default LLM reranker model is now `gpt-5-mini` (was `gpt-4o-mini`) ([#6703](https://github.com/mem0ai/mem0/pull/6703))
+
+**Security:**
+- **Dependencies:** Patched 32 high and 57 medium severity dependency vulnerabilities across the pnpm workspace via `pnpm.overrides` (`axios`, `brace-expansion`, `js-yaml`, `postcss`, `protobufjs`, `mongoose`, `tar`, `fast-xml-parser`, `thrift`) ([#6639](https://github.com/mem0ai/mem0/pull/6639))
+
+</Update>
+
 <Update label="2026-07-25" description="v3.1.2">
 
 **Bug Fixes:**
@@ -1718,6 +1795,26 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
 
 <Tab title="CLI">
 
+<Update label="2026-08-04" description="Python v0.2.11 / Node v0.2.12">
+
+**New Features:**
+- **`add`:** New `--custom-instructions`, `--custom-categories`, `--structured-data-schema`, and `--timestamp` flags, matching the Platform `/v3/memories/add/` payload fields (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
+- **`search`:** New `--show-expired`, `--reference-date`, and `--latest-only` flags, forwarded to `/v3/memories/search/` as `show_expired`, `reference_date`, and `latest_only` (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
+- **`list`:** New `--show-expired` and `--latest-only` flags (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
+- **`update`:** New `--expires` and `--timestamp` flags (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
+- **`delete`:** New `--delete-linked` flag to also delete memories linked to the target memory (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
+
+**Bug Fixes:**
+- **`help --json`:** Emit JSON automatically under agent mode (`--agent`), not only when `--json` is passed explicitly. Python checks `is_agent_mode()` and now renders through `console.print_json()` instead of a plain `console.print(json.dumps(...))` call; Node also checks the root `--agent` flag in addition to the subcommand's `--json` flag (Python and Node [#6773](https://github.com/mem0ai/mem0/pull/6773))
+
+**Changes:**
+- **`add`:** `--categories` is no longer forwarded on `add`. The `/v3/memories/add/` payload has no `categories` field (only `custom_categories`), so the CLI was sending a key the endpoint does not accept. Passing the flag now exits 1 with a message pointing to `--custom-categories` (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
+
+**Security:**
+- **Dependencies (Node):** Tighten the `postcss` pnpm override from `<8.5.10 → >=8.5.10` to `<8.5.18 → >=8.5.18 <9.0.0`, closing a newer CVE range the previous floor didn't cover, as part of a wider dependency patch sweep across the pnpm workspaces ([#6639](https://github.com/mem0ai/mem0/pull/6639))
+
+</Update>
+
 <Update label="2026-07-13" description="Python v0.2.10 / Node v0.2.11">
 
 **Bug Fixes:**
@@ -1883,12 +1980,25 @@ A full-featured command-line interface for Mem0, available in both Python and No
 <Tabs>
 <Tab title="Mem0 Plugin">
 
+<Update label="2026-08-04" description="mem0-plugin v0.2.14">
+
+**Fixes:**
+- **Settings loading no longer crashes on a malformed `settings.json`:** If `~/.mem0/settings.json` parsed as valid JSON but wasn't an object (a list or a bare string, for example), `load_settings()` called `.items()` on it and raised. `resolve_config()` guards only against `ImportError`, so the failure escaped into every hook that resolves identity, not just setup. Settings loading now keeps the defaults instead. Setup also stopped claiming it "Created" the settings file when one already existed; it only prints that when it actually wrote one. Shared across Claude Code, Cursor, Codex, and Antigravity.
+
+**New Features:**
+- **Unknown settings key warning:** Setup now flags keys in `settings.json` that the plugin doesn't recognize, so a typo'd setting no longer fails silently.
+
+**Removed:**
+- Dropped the `mem0_doc_search` "openmemory" section now that OpenMemory has been removed from the docs site, so the skill no longer links to pages that don't exist.
+
+</Update>
+
 <Update label="2026-07-14" description="mem0-plugin v0.2.13">
 
 **Fixes:**
-- **Assistant messages no longer stored as your own:** The session-summary hook (fires at the end of every assistant turn) and the post-compaction hook were sending the assistant's own message to Mem0 tagged `role: "user"`. Because Mem0 extracts *facts about the user* from each message and uses `role` to decide who spoke, the assistant's first-person prose was being saved as the human's stated preferences — "I recommend we drop Redis" became `User prefers dropping Redis entirely`. Both hooks now send `role: "assistant"`, so the same session is stored as `Assistant recommended...`. Affects Claude Code, Cursor, Codex, and Antigravity, which share these hooks.
+- **Assistant messages no longer stored as your own:** The session-summary hook (fires at the end of every assistant turn) and the post-compaction hook were sending the assistant's own message to Mem0 tagged `role: "user"`. Because Mem0 extracts *facts about the user* from each message and uses `role` to decide who spoke, the assistant's first-person prose was being saved as the human's stated preferences: "I recommend we drop Redis" became `User prefers dropping Redis entirely`. Both hooks now send `role: "assistant"`, so the same session is stored as `Assistant recommended...`. Affects Claude Code, Cursor, Codex, and Antigravity, which share these hooks.
 
-Existing memories written by the previous versions are not rewritten. If your memories contain preferences you never expressed, delete them — the plugin will not recreate them.
+Existing memories written by the previous versions are not rewritten. If your memories contain preferences you never expressed, delete them; the plugin will not recreate them.
 
 </Update>
 
@@ -2222,12 +2332,25 @@ Initial release of the Mem0 plugin for Claude Code and Cursor, followed by Codex
 
 <Tab title="Antigravity">
 
+<Update label="2026-08-04" description="Antigravity plugin v0.1.6">
+
+**Fixes:**
+- **Settings loading no longer crashes on a malformed `settings.json`:** If `~/.mem0/settings.json` parsed as valid JSON but wasn't an object, every hook that resolves identity previously raised, not just setup. It now keeps the defaults instead, and setup only reports it "Created" the settings file when it actually wrote one.
+
+**Improvements:**
+- **Unknown settings key warning:** Setup now flags keys in `settings.json` it doesn't recognize instead of ignoring them silently.
+
+**Removed:**
+- Dropped the doc-search skill's "openmemory" section now that OpenMemory has been removed from the docs site.
+
+</Update>
+
 <Update label="2026-07-14" description="Antigravity plugin v0.1.5">
 
 **Fixes:**
-- **Assistant messages no longer stored as your own:** The session-summary hook (fires at the end of every assistant turn) and the post-compaction hook were sending the assistant's own message to Mem0 tagged `role: "user"`. Because Mem0 extracts *facts about the user* from each message and uses `role` to decide who spoke, the assistant's first-person prose was being saved as the human's stated preferences — "I recommend we drop Redis" became `User prefers dropping Redis entirely`. Both hooks now send `role: "assistant"`, so the same session is stored as `Assistant recommended...`.
+- **Assistant messages no longer stored as your own:** The session-summary hook (fires at the end of every assistant turn) and the post-compaction hook were sending the assistant's own message to Mem0 tagged `role: "user"`. Because Mem0 extracts *facts about the user* from each message and uses `role` to decide who spoke, the assistant's first-person prose was being saved as the human's stated preferences: "I recommend we drop Redis" became `User prefers dropping Redis entirely`. Both hooks now send `role: "assistant"`, so the same session is stored as `Assistant recommended...`.
 
-Existing memories written by the previous versions are not rewritten. If your memories contain preferences you never expressed, delete them — the plugin will not recreate them.
+Existing memories written by the previous versions are not rewritten. If your memories contain preferences you never expressed, delete them; the plugin will not recreate them.
 
 </Update>
 
@@ -2278,6 +2401,16 @@ Existing memories written by the previous versions are not rewritten. If your me
 
 <Tab title="OpenClaw">
 
+<Update label="2026-08-01" description="openclaw-mem0 v1.0.15">
+
+**Improvements:**
+- **Onboarding suggestions:** The example commands shown by `openclaw mem0 config show` now suggest `gpt-5-mini` instead of `gpt-4o` ([#6704](https://github.com/mem0ai/mem0/pull/6704))
+
+**Security:**
+- **Dependencies:** Patched high and medium severity dependency vulnerabilities via `pnpm.overrides` (`protobufjs`, `axios`, `postcss`, `mongoose`) ([#6639](https://github.com/mem0ai/mem0/pull/6639))
+
+</Update>
+
 <Update label="2026-06-30" description="openclaw-mem0 v1.0.14">
 
 **Improvements:**
@@ -2531,6 +2664,13 @@ Existing memories written by the previous versions are not rewritten. If your me
 
 <Tab title="Pi Agent">
 
+<Update label="2026-08-01" description="Pi Agent plugin v0.1.4">
+
+**Security:**
+- **Dependencies:** Patched high and medium severity dependency vulnerabilities via `pnpm.overrides` (`axios`, `brace-expansion`, `postcss`, `mongoose`, `protobufjs`) ([#6639](https://github.com/mem0ai/mem0/pull/6639))
+
+</Update>
+
 <Update label="2026-06-30" description="Pi Agent plugin v0.1.3">
 
 **New Features:**
@@ -2583,6 +2723,13 @@ Existing memories written by the previous versions are not rewritten. If your me
 
 <Tab title="Vercel AI SDK">
 
+<Update label="2026-08-01" description="Vercel AI SDK v3.0.1">
+
+**Security:**
+- **Dependencies:** Patched high and medium severity dependency vulnerabilities via `pnpm.overrides` (`brace-expansion`, `js-yaml`) ([#6639](https://github.com/mem0ai/mem0/pull/6639))
+
+</Update>
+
 <Update label="2026-06-10" description="Vercel AI SDK v3.0.0">
 
 **Major Release**: Migrated to Vercel AI SDK v6 (`LanguageModelV3` / `ProviderV3`) and Mem0 v3 API.
@@ -2664,6 +2811,80 @@ Existing memories written by the previous versions are not rewritten. If your me
 - Added support for graph memories.
 </Update>
 
+</Tab>
+
+<Tab title="n8n">
+
+<Update label="2026-08-05" description="n8n-nodes-mem0 v0.1.3">
+
+**Changes:**
+- **License changed to MIT:** The published `@mem0/n8n-nodes-mem0` package is now MIT (was Apache-2.0). n8n's Creator Portal requires verified community nodes to be MIT, and the failing license check was the blocker for verification. The rest of the mem0 repo stays Apache-2.0 ([#6804](https://github.com/mem0ai/mem0/pull/6804))
+- **Themed icons:** The node and credential icons now declare `{ light, dark }` variants instead of a single icon, clearing the remaining `icon-prefer-themed-variants` warnings from the Creator Portal scan. No functional changes ([#6804](https://github.com/mem0ai/mem0/pull/6804))
+
+</Update>
+
+<Update label="2026-08-04" description="n8n-nodes-mem0 v0.1.2">
+
+**Changes:**
+- **Package contact:** `author.email` in the published package is now `integrations@mem0.ai` (was `founders@mem0.ai`), so npm and n8n Creator Portal correspondence reaches the integrations team directly. No functional changes ([#6791](https://github.com/mem0ai/mem0/pull/6791))
+
+</Update>
+
+<Update label="2026-07-30" description="n8n-nodes-mem0 v0.1.1">
+
+**Changes:**
+- **Published with npm provenance:** Republished through the `n8n-nodes-mem0-cd.yml` GitHub Actions workflow so the package carries a signed provenance attestation. `0.1.0` was published manually and has none, which blocks submission for n8n Creator Portal verification. No functional changes ([#6685](https://github.com/mem0ai/mem0/pull/6685))
+
+</Update>
+
+<Update label="2026-07-29" description="n8n-nodes-mem0 v0.1.0">
+
+**Initial release** of [`@mem0/n8n-nodes-mem0`](https://www.npmjs.com/package/@mem0/n8n-nodes-mem0), a community node that adds long-term memory to n8n workflows and AI Agents ([#6517](https://github.com/mem0ai/mem0/pull/6517))
+
+**New Features:**
+- **Memory operations:** A single **Mem0** node covers Add, Search, Get, Get Many, Update, and Delete on the Memory resource.
+- **AI Agent tool:** The node sets `usableAsTool`, so it can be attached to an n8n AI Agent node and invoked by the agent itself rather than wired into a fixed workflow path.
+- **Scoping:** Add, Search, and Get Many accept User ID, Agent ID, App ID, and Run ID, so memories stay partitioned per user, agent, or session.
+- **Add options:** Metadata JSON, custom categories, custom instructions, includes/excludes, an `infer` toggle, and a **Wait for Completion** switch that polls until the write lands instead of returning immediately.
+- **Pagination:** Get Many supports Return All, or explicit Page and Page Size.
+- **Credential:** A **Mem0 API** credential holds the API key plus a configurable base URL, defaulting to `https://api.mem0.ai` for self-hosted deployments.
+
+<Note>
+  Community nodes install from npm, which is a self-hosted n8n feature. See [n8n](/integrations/n8n) for setup.
+</Note>
+
+</Update>
+
+</Tab>
+
+<Tab title="Zapier">
+
+<Update label="2026-08-04" description="Zapier app v0.1.1">
+
+**Bug Fixes:**
+- **Add Memory:** **User ID** is now a required field. Mem0 rejects a write that carries no entity ID, so a Zap left blank failed at the API instead of in the editor. If you scoped memories only by Agent ID or Run ID, set a User ID as well ([#6790](https://github.com/mem0ai/mem0/pull/6790))
+- **Deployment:** Add a root `index.js` that re-exports the compiled app from `dist/`, and point `main` at it. Zapier's Lambda wrapper loads `<root>/index.js` and ignores the `package.json` `main` field, so the deployed app could not resolve its entry point ([#6789](https://github.com/mem0ai/mem0/pull/6789))
+
+</Update>
+
+<Update label="2026-07-29" description="Zapier app v0.1.0">
+
+**Initial release** of the Mem0 Zapier app, built on the Zapier Platform CLI ([#6518](https://github.com/mem0ai/mem0/pull/6518))
+
+**New Features:**
+- **Actions:** Add Memory and Delete Memory.
+- **Searches:** Search Memories and Get Memories, usable as lookup steps in any Zap.
+- **Authentication:** An API key connection validated against Mem0 the moment it is saved, sent as `Authorization: Token <key>`, with a configurable base URL for self-hosted deployments.
+
+**Bug Fixes:**
+- **Add Memory:** Raise the poll budget past the real API latency tail, so a slower write is no longer reported as a failure ([#6680](https://github.com/mem0ai/mem0/pull/6680))
+
+<Note>
+  The app deploys to Zapier's platform rather than npm and is not yet listed in the public App Directory. See [Zapier](/integrations/zapier) for invite access.
+</Note>
+
+</Update>
+
 </Tab>
 </Tabs>
 

docs/components/rerankers/config.mdx

@@ -52,7 +52,7 @@ All rerankers share these common configuration parameters:
 
 | Parameter        | Description                                | Type    | Default                |
 | ---------------- | ------------------------------------------ | ------- | ---------------------- |
-| `model`          | LLM model to use for scoring               | `str`   | `"gpt-4o-mini"`        |
+| `model`          | LLM model to use for scoring               | `str`   | `"gpt-5-mini"`        |
 | `provider`       | LLM provider (`openai`, `anthropic`, etc.) | `str`   | `"openai"`             |
 | `api_key`        | API key for LLM provider                   | `str`   | `None`                 |
 | `temperature`    | Temperature for LLM generation             | `float` | `0.0`                  |
@@ -114,7 +114,7 @@ The self-hosted [TypeScript SDK](/open-source/features/reranker-search#typescrip
 | `zero_entropy` | `pnpm add zeroentropy` | `zerank-1` | `apiKey`, `model`, `topK` |
 | `sentence_transformer` | `pnpm add @huggingface/transformers` | `Xenova/ms-marco-MiniLM-L-6-v2` | `model`, `device`, `maxLength`, `normalize`, `topK` |
 | `huggingface` | `pnpm add @huggingface/transformers` | `Xenova/bge-reranker-base` | `model`, `device`, `maxLength`, `normalize`, `topK` |
-| `llm_reranker` | None (uses your LLM provider's own SDK) | `openai` / `gpt-4o-mini` | `provider`, `model`, `apiKey`, `llm` (nested override), `topK` |
+| `llm_reranker` | None (uses your LLM provider's own SDK) | `openai` / `gpt-5-mini` | `provider`, `model`, `apiKey`, `llm` (nested override), `topK` |
 
 ```typescript
 import { Memory } from "mem0ai/oss";

docs/components/rerankers/custom-prompts.mdx

@@ -48,7 +48,7 @@ config = {
         "provider": "llm_reranker",
         "config": {
             "provider": "openai",
-            "model": "gpt-4o-mini",
+            "model": "gpt-5-mini",
             "api_key": "your-openai-key",
             "scoring_prompt": custom_prompt,
             "top_k": 5

docs/components/rerankers/models/cohere.mdx

@@ -101,7 +101,7 @@ os.environ["COHERE_API_KEY"] = "your-api-key"
 # Initialize memory with Cohere reranker
 config = {
     "vector_store": {"provider": "chroma"},
-    "llm": {"provider": "openai", "config": {"model": "gpt-4o-mini"}},
+    "llm": {"provider": "openai", "config": {"model": "gpt-5-mini"}},
     "rerank": {
         "provider": "cohere",
         "config": {

docs/components/rerankers/models/llm_reranker.mdx

@@ -19,7 +19,7 @@ config = {
         "provider": "llm_reranker",
         "config": {
             "provider": "openai",
-            "model": "gpt-4o-mini",
+            "model": "gpt-5-mini",
             "api_key": "your-openai-api-key"
         }
     }
@@ -33,7 +33,7 @@ m = Memory.from_config(config)
 | Parameter | Type | Default | Description |
 |-----------|------|---------|-------------|
 | `provider` | str | `"openai"` | LLM provider (openai, anthropic, etc.) |
-| `model` | str | `"gpt-4o-mini"` | LLM model to use for reranking |
+| `model` | str | `"gpt-5-mini"` | LLM model to use for reranking |
 | `api_key` | str | None | API key for the LLM provider |
 | `top_k` | int | None | Number of top documents to return after reranking |
 | `temperature` | float | 0.0 | LLM temperature for consistency |
@@ -69,7 +69,7 @@ config = {
 
 ## TypeScript (self-hosted)
 
-The [TypeScript OSS SDK](/open-source/features/reranker-search#typescript-sdk) (`mem0ai/oss`) ships the LLM reranker under the provider name `llm_reranker`. It does **not** reuse the Memory's main `llm` instance; it builds its own LLM from the reranker's own config, defaulting to `openai` / `gpt-4o-mini`. Set `provider`/`model`/`apiKey` directly on `config`, or nest a fully separate `config.llm: { provider, config }` (its `provider`/`config` take priority over the top-level fields, which only backfill values missing from the nested config).
+The [TypeScript OSS SDK](/open-source/features/reranker-search#typescript-sdk) (`mem0ai/oss`) ships the LLM reranker under the provider name `llm_reranker`. It does **not** reuse the Memory's main `llm` instance; it builds its own LLM from the reranker's own config, defaulting to `openai` / `gpt-5-mini`. Set `provider`/`model`/`apiKey` directly on `config`, or nest a fully separate `config.llm: { provider, config }` (its `provider`/`config` take priority over the top-level fields, which only backfill values missing from the nested config).
 
 ```typescript
 import { Memory } from "mem0ai/oss";
@@ -114,7 +114,7 @@ config = {
         "provider": "llm_reranker",
         "config": {
             "provider": "openai",
-            "model": "gpt-4o-mini",
+            "model": "gpt-5-mini",
             "api_key": "your-openai-api-key",
             "temperature": 0.0
         }
@@ -170,15 +170,15 @@ config = {
         "provider": "llm_reranker",
         "config": {
             "provider": "azure_openai",
-            "model": "gpt-4o-mini",
+            "model": "gpt-5-mini",
             "api_key": "your-azure-api-key",
             "llm": {
                 "provider": "azure_openai",
                 "config": {
-                    "model": "gpt-4o-mini",
+                    "model": "gpt-5-mini",
                     "api_key": "your-azure-api-key",
                     "azure_endpoint": "https://your-resource.openai.azure.com/",
-                    "azure_deployment": "gpt-4o-mini-deployment"
+                    "azure_deployment": "gpt-5-mini-deployment"
                 }
             }
         }
@@ -232,7 +232,7 @@ config = {
         "provider": "llm_reranker",
         "config": {
             "provider": "openai",
-            "model": "gpt-4o-mini",
+            "model": "gpt-5-mini",
             "api_key": "your-api-key",
             "scoring_prompt": custom_prompt
         }
@@ -351,7 +351,7 @@ fast_config = {
         "provider": "llm_reranker",
         "config": {
             "provider": "openai",
-            "model": "gpt-4o-mini",
+            "model": "gpt-5-mini",
             "api_key": "your-api-key",
             "top_k": 5,
             "temperature": 0.0
@@ -444,7 +444,7 @@ fallback_config = {
         "provider": "llm_reranker",
         "config": {
             "provider": "openai",
-            "model": "gpt-4o-mini",
+            "model": "gpt-5-mini",
             "api_key": "your-api-key"
         }
     }

docs/components/rerankers/models/sentence_transformer.mdx

@@ -36,7 +36,7 @@ config = {
     "llm": {
         "provider": "openai",
         "config": {
-            "model": "gpt-4o-mini"
+            "model": "gpt-5-mini"
         }
     },
     "rerank": {
@@ -113,7 +113,7 @@ from mem0 import Memory
 # Initialize memory with local reranker
 config = {
     "vector_store": {"provider": "chroma"},
-    "llm": {"provider": "openai", "config": {"model": "gpt-4o-mini"}},
+    "llm": {"provider": "openai", "config": {"model": "gpt-5-mini"}},
     "rerank": {
         "provider": "sentence_transformer",
         "config": {

docs/components/rerankers/models/zero_entropy.mdx

@@ -34,7 +34,7 @@ config = {
     "llm": {
         "provider": "openai",
         "config": {
-            "model": "gpt-4o-mini"
+            "model": "gpt-5-mini"
         }
     },
     "rerank": {
@@ -98,7 +98,7 @@ os.environ["ZERO_ENTROPY_API_KEY"] = "your-api-key"
 # Initialize memory with Zero Entropy reranker
 config = {
     "vector_store": {"provider": "chroma"},
-    "llm": {"provider": "openai", "config": {"model": "gpt-4o-mini"}},
+    "llm": {"provider": "openai", "config": {"model": "gpt-5-mini"}},
     "rerank": {"provider": "zero_entropy", "config": {"model": "zerank-1"}}
 }
 

docs/components/vectordbs/dbs/neptune_analytics.mdx

@@ -96,8 +96,8 @@ await memory.add(messages, { userId: "alice", metadata: { category: "movies" } }
 </Tabs>
 
 Both SDKs store vectors on graph nodes labeled `MEM0_VECTOR_<collection_name>`. Point them at the same
-graph with the same `collection_name` — the defaults differ, `mem0` in Python and `memories` in
-TypeScript — and `get()`, `list()`, and `delete()` interoperate across SDKs.
+graph with the same `collection_name` (the defaults differ, `mem0` in Python and `memories` in
+TypeScript) and `get()`, `list()`, and `delete()` interoperate across SDKs.
 
 <Note>
 `search()` is not currently cross-SDK compatible. The TypeScript provider filters on Neptune's reserved

docs/components/vectordbs/dbs/oracledb.mdx

@@ -8,12 +8,18 @@ description: "Use Oracle Database AI Vector Search as a vector store in Mem0 for
 ### Requirements
 
 - Oracle Database 23.4 or later, with a user that can create tables and vector indexes
-- The `python-oracledb` driver. In thick mode, Oracle Client 23.4 or later is also required.
+- The `python-oracledb` or `node-oracledb` driver. In thick mode, Oracle Client 23.4 or later is also required.
 
-```bash
+<CodeGroup>
+```bash Python
 pip install oracledb
 ```
 
+```bash TypeScript
+npm install oracledb
+```
+</CodeGroup>
+
 ### Usage
 
 <CodeGroup>
@@ -47,11 +53,58 @@ messages = [
 ]
 m.add(messages, user_id="alice", metadata={"category": "movies"})
 ```
+
+```typescript TypeScript
+import { Memory } from "mem0ai/oss";
+
+const config = {
+  vectorStore: {
+    provider: "oracledb",
+    config: {
+      collectionName: "mem0",
+      embeddingModelDims: 1536,
+      connectionParams: {
+        user: "mem0_user",
+        password: "your-password",
+        connectString: "localhost:1521/FREEPDB1",
+      },
+    },
+  },
+};
+
+const memory = new Memory(config);
+
+const messages = [
+  {
+    role: "user",
+    content: "I'm planning to watch a movie tonight. Any recommendations?",
+  },
+  {
+    role: "assistant",
+    content: "How about thriller movies? They can be quite engaging.",
+  },
+  {
+    role: "user",
+    content: "I'm not a big fan of thriller movies but I love sci-fi movies.",
+  },
+  {
+    role: "assistant",
+    content:
+      "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future.",
+  },
+];
+
+await memory.add(messages, {
+  userId: "alice",
+  metadata: { category: "movies" },
+});
+```
 </CodeGroup>
 
-To reuse a connection or pool you already manage, pass it as `client` instead of `connection_params`:
+To reuse a connection or pool you already manage, pass it as `client` instead of the connection parameters:
 
-```python
+<CodeGroup>
+```python Python
 import oracledb
 
 pool = oracledb.create_pool(user="mem0_user", password="your-password", dsn="localhost:1521/FREEPDB1")
@@ -64,33 +117,52 @@ config = {
 }
 ```
 
+```typescript TypeScript
+import oracledb from "oracledb";
+
+const pool = await oracledb.createPool({
+  user: "mem0_user",
+  password: "your-password",
+  connectString: "localhost:1521/FREEPDB1",
+});
+
+const config = {
+  vectorStore: {
+    provider: "oracledb",
+    config: { client: pool },
+  },
+};
+```
+</CodeGroup>
+
 ### Config
 
 Here are the parameters available for configuring Oracle AI Vector Search:
 
-| Parameter | Description | Default Value |
-| --- | --- | --- |
-| `connection_params` | Connection settings passed to `python-oracledb`, such as `user`, `password` and `dsn`. See the [connection handling guide](https://python-oracledb.readthedocs.io/en/latest/user_guide/connection_handling.html). | `None` |
-| `use_connection_pool` | Create a connection pool from `connection_params` instead of a single connection | `True` |
-| `client` | An existing `oracledb.Connection` or `oracledb.ConnectionPool` to use instead of building one from `connection_params` | `None` |
-| `collection_name` | Name of the Oracle table that stores vectors and payloads | `mem0` |
-| `embedding_model_dims` | Dimension of your embedding vectors, must be greater than 0 | `1536` |
-| `distance_metric` | Distance function used for indexing and search: `COSINE`, `EUCLIDEAN`, `EUCLIDEAN_SQUARED`, `DOT`, `HAMMING` or `MANHATTAN` | `COSINE` |
-| `do_create_index` | Whether to create a vector index on the collection | `True` |
-| `index_type` | Vector index type: `HNSW` or `IVF` | `HNSW` |
-| `index_name` | Name of the vector index | `<collection_name>_VEC_IDX` |
-| `index_parameters` | Index tuning parameters. For `HNSW`: `neighbors`, `efconstruction`. For `IVF`: `neighbor partitions`, `samples_per_partition`, `min_vectors_per_partition`. | `None` |
-| `index_accuracy` | Target index accuracy from 1 to 100, applied as `WITH TARGET ACCURACY <n>` | `None` |
+| Python | TypeScript | Description | Default Value |
+| --- | --- | --- | --- |
+| `connection_params` | `connectionParams` | Connection settings passed to the Oracle driver, such as `user`, `password` and `dsn` (`connectString` in TypeScript). See the [Python](https://python-oracledb.readthedocs.io/en/latest/user_guide/connection_handling.html) or [Node.js](https://node-oracledb.readthedocs.io/en/latest/user_guide/connection_handling.html) connection handling guide. | `None` |
+| `use_connection_pool` | `useConnectionPool` | Create a connection pool from the connection parameters instead of a single connection | `True` |
+| `client` | `client` | An existing Oracle connection or pool to use instead of building one from the connection parameters | `None` |
+| `collection_name` | `collectionName` | Name of the Oracle table that stores vectors and payloads | `mem0` |
+| `embedding_model_dims` | `embeddingModelDims` | Dimension of your embedding vectors, must be greater than 0 | `1536` |
+| `distance_metric` | `distanceMetric` | Distance function used for indexing and search: `COSINE`, `EUCLIDEAN`, `EUCLIDEAN_SQUARED`, `DOT`, `HAMMING` or `MANHATTAN` | `COSINE` |
+| `do_create_index` | `doCreateIndex` | Whether to create a vector index on the collection | `True` |
+| `index_type` | `indexType` | Vector index type: `HNSW` or `IVF` | `HNSW` |
+| `index_name` | `indexName` | Name of the vector index | `<collection_name>_VEC_IDX` |
+| `index_parameters` | `indexParameters` | Index tuning parameters. For `HNSW`: `neighbors`, `efconstruction`. For `IVF`: `neighbor partitions`, `samples_per_partition`, `min_vectors_per_partition`. | `None` |
+| `index_accuracy` | `indexAccuracy` | Target index accuracy from 1 to 100, applied as `WITH TARGET ACCURACY <n>` | `None` |
 
 <Note>
-  When you pass a pre-built `client`, Mem0 uses it as-is and ignores `connection_params` and `use_connection_pool`. Mem0 does not close a client it did not create.
+  When you pass a pre-built `client`, Mem0 uses it as-is and ignores the connection parameters and pooling options. Mem0 does not close a client it did not create.
 </Note>
 
 ### Vector indexes
 
 Set the index type with `index_type` and tune it with `index_parameters`:
 
-```python
+<CodeGroup>
+```python Python
 config = {
     "vector_store": {
         "provider": "oracledb",
@@ -104,6 +176,25 @@ config = {
 }
 ```
 
+```typescript TypeScript
+const config = {
+  vectorStore: {
+    provider: "oracledb",
+    config: {
+      connectionParams: {
+        user: "mem0_user",
+        password: "your-password",
+        connectString: "localhost:1521/FREEPDB1",
+      },
+      indexType: "HNSW",
+      indexParameters: { neighbors: 32, efconstruction: 200 },
+      indexAccuracy: 95,
+    },
+  },
+};
+```
+</CodeGroup>
+
 For the full list of supported options, see the Oracle [`CREATE VECTOR INDEX`](https://docs.oracle.com/en/database/oracle/oracle-database/26/sqlrf/create-vector-index.html) reference.
 
 ### Search scores
@@ -121,14 +212,23 @@ Filters run against the JSON `payload` column and support:
 | Comparison | `{"score": {"gte": 0.5}}`, also `eq`, `ne`, `gt`, `lt`, `lte` |
 | Membership | `{"category": {"in": ["movies", "books"]}}`, also `nin` |
 | String matching | `{"title": {"contains": "sci-fi"}}`, also `icontains` for case-insensitive |
-| Logical groups | `{"AND": [...]}`, `{"OR": [...]}`, `{"NOT": [...]}` |
+| Logical groups | `{"AND": [...]}`, `{"OR": [...]}`, `{"NOT": [...]}`, also `$and`, `$or`, `$not` |
 
 Multiple fields at the top level are combined with `AND`:
 
-```python
+<CodeGroup>
+```python Python
 m.search(
     "movie recommendations",
     user_id="alice",
     filters={"category": {"in": ["movies", "books"]}, "rating": {"gte": 4}},
 )
 ```
+
+```typescript TypeScript
+await memory.search("movie recommendations", {
+  userId: "alice",
+  filters: { category: { in: ["movies", "books"] }, rating: { gte: 4 } },
+});
+```
+</CodeGroup>

docs/components/vectordbs/dbs/qdrant.mdx

@@ -60,6 +60,12 @@ await memory.add(messages, { userId: "alice", metadata: { category: "movies" } }
 ```
 </CodeGroup>
 
+### Hybrid keyword search
+
+Mem0 blends semantic similarity with BM25 keyword scoring. On the TypeScript SDK, Qdrant computes the BM25 vectors server-side, which requires Qdrant 1.15.2 or newer with inference enabled. Qdrant Cloud enables inference by default only for clusters created after 2025-07-07; older clusters must activate it from the Cluster Detail page. The Python SDK encodes BM25 locally instead and needs the `fastembed` package, so scores are not numerically comparable between the two SDKs.
+
+When BM25 is unavailable, or when the collection was created before hybrid search was added, Mem0 logs a warning and falls back to semantic-only search. Writes are unaffected. To enable keyword scoring on an older collection, use a fresh collection name.
+
 ### Config
 
 Let's see the available parameters for the `qdrant` config:

docs/components/vectordbs/dbs/supabase.mdx

@@ -115,6 +115,27 @@ $$;
 
 Go to [Supabase](https://supabase.com/dashboard/projects) and run the above SQL migrations in the SQL Editor.
 
+### Row Level Security
+
+Tables created through the Supabase dashboard have Row Level Security (RLS) enabled by default with no policies attached. With RLS on and no policies, the TypeScript SDK's queries return zero rows with an HTTP 200 (no error is raised), which looks like an empty memory store rather than a permissions problem. If you use the SQL migrations above (via the SQL Editor), RLS is left in its default off state and this does not apply.
+
+If your table has RLS enabled, add policies for the key your app uses (the example below grants full access to the `service_role` key; scope it down for anon/authenticated keys as needed):
+
+```sql
+alter table memories enable row level security;
+
+create policy "Allow service role full access to memories"
+on memories
+for all
+to service_role
+using (true)
+with check (true);
+```
+
+### PostgREST Row Limits
+
+Supabase's PostgREST layer caps the number of rows returned by a single request at `db-max-rows` (1000 by default), for both `.select()` queries and RPC function calls like `match_vectors`. Requesting a `topK` above this limit for `search()` or `list()` will not raise an error, results are capped at `db-max-rows` instead. The TypeScript `list()` method paginates internally to work around this, but `search()` cannot since `match_vectors` has no offset parameter; it logs a warning when it detects a truncated result. Raise `db-max-rows` in your Supabase project settings if you need more than 1000 results per search.
+
 ### Config
 
 Here are the parameters available for configuring Supabase:

docs/cookbooks/integrations/openai-tool-calls.mdx

@@ -55,9 +55,8 @@ await addUserPreferences();
 
 ```json Output
 {
-  "message": "Memory processing has been queued for background execution",
-  "status": "PENDING",
-  "event_id": "9f8c2b1a-4e7d-4c3a-9b21-1a2b3c4d5e6f"
+  "event_id": "9f8c2b1a-4e7d-4c3a-9b21-1a2b3c4d5e6f",
+  "status": "PENDING"
 }
 ```
 </CodeGroup>

docs/core-concepts/how-it-works.mdx

@@ -46,7 +46,7 @@ When new messages arrive, Mem0 extracts durable facts and stores them with the i
 1. **Context lookup.** Mem0 checks related existing memories so it can avoid storing the same fact again.
 2. **Fact extraction.** An LLM extracts preferences, decisions, plans, and other details your agent can reuse.
 3. **Deduplication and embedding.** Redundant facts are removed, then each memory is embedded for semantic search.
-4. **Entity linking.** When configured, Mem0 links people, places, organizations, and concepts across memories.
+4. **Entity extraction.** Mem0 pulls out the people, places, organizations, and concepts each memory mentions and stores them for entity matching at search time. On Platform these entities also become the nodes of [Graph Memory](/platform/features/graph-memory).
 
 The automatic extraction path is additive. If a user says, "I moved from Austin to Seattle," Mem0 can store the new fact without silently rewriting the old one. Use explicit `update` or `delete` operations when your application needs to correct or remove a memory.
 
@@ -61,7 +61,7 @@ When you call `search`, Mem0 ranks stored memories against your query and filter
 | **Entity** | Boosts memories linked to entities in the query | Questions about a person, project, or account |
 | **Temporal** | Scores candidates on time metadata extracted at write time against the query's temporal intent | Temporal questions ("when did...", current state, recency) |
 
-Platform retrieval fuses these signals in the managed service. OSS retrieval depends on your configured vector store, optional reranker, and graph store.
+Platform retrieval fuses these signals in the managed service, where the entity signal is powered by built-in [Graph Memory](/platform/features/graph-memory). OSS retrieval depends on your configured vector store and optional reranker, and boosts on entity overlap alone: it has no graph memory.
 
 <Note>
   Always scope searches with filters such as `user_id`, `agent_id`, or `run_id`. This keeps memories from different users, agents, or sessions from mixing.
@@ -75,7 +75,7 @@ Mem0 stores different parts of a memory in stores built for different lookup pat
 |---|---|---|
 | **SQL database** | Facts and metadata | The source of truth for each memory |
 | **Vector database** | Embeddings | Semantic similarity search |
-| **Entity or graph store** | Entities and relationships | Relationship-aware retrieval when graph memory is enabled |
+| **Entity store** | Entities extracted from memory text | Boosts memories sharing entities with the query. On Platform it also backs [Graph Memory](/platform/features/graph-memory) |
 
 On Mem0 Platform, these stores are managed for you. In OSS, you choose and operate the backing stores through your configuration.
 

docs/docs.json

@@ -85,7 +85,8 @@
                           "platform/features/advanced-retrieval",
                           "platform/advanced-memory-operations",
                           "platform/features/custom-instructions",
-                          "platform/features/memory-decay"
+                          "platform/features/memory-decay",
+                          "platform/features/dream"
                         ]
                       },
                       {

docs/integrations/antigravity.mdx

@@ -67,7 +67,7 @@ The plugin uses the same shell scripts as Claude Code, Cursor, and Codex: hooks
 | **Post-tool** | `PostToolUse` | Tracks stats, scans bash errors for related memories |
 | **Stop** | `Stop` | Stores a session summary at the end of every assistant turn (not just at session end) |
 
-What you type is stored as yours. What the agent produces — session summaries and compaction summaries — is stored as the assistant's, so its suggestions never become your stated preferences.
+What you type is stored as yours. What the agent produces (session summaries and compaction summaries) is stored as the assistant's, so its suggestions never become your stated preferences.
 
 ## Troubleshooting
 

docs/integrations/claude-code.mdx

@@ -155,7 +155,7 @@ When installed via the plugin marketplace, Mem0 hooks into Claude Code's lifecyc
 | **Stop** | `Stop` | Stores a session summary at the end of every assistant turn (not just at session end) |
 | **Pre-compact** | `PreCompact` | Stores a summary before the context is compacted |
 
-What you type is stored as yours. What Claude produces — session summaries and compaction summaries — is stored as the assistant's, so its suggestions never become your stated preferences.
+What you type is stored as yours. What Claude produces (session summaries and compaction summaries) is stored as the assistant's, so its suggestions never become your stated preferences.
 
 ## Example Workflow
 

docs/integrations/codex.mdx

@@ -128,7 +128,7 @@ When installed via the plugin marketplace, Mem0 hooks into Codex's lifecycle to
 | **Stop** | `Stop` | Stores a session summary at the end of every assistant turn (not just at session end) |
 | **Pre-compact** | `PreCompact` | Stores a summary before the context is compacted |
 
-What you type is stored as yours. What Codex produces — session summaries and compaction summaries — is stored as the assistant's, so its suggestions never become your stated preferences.
+What you type is stored as yours. What Codex produces (session summaries and compaction summaries) is stored as the assistant's, so its suggestions never become your stated preferences.
 
 ## Example Workflow
 

docs/integrations/langchain-tools.mdx

@@ -98,9 +98,8 @@ add_result = add_tool.invoke(add_input)
 
 ```json Output
 {
-  "message": "Memory processing has been queued for background execution",
-  "status": "PENDING",
-  "event_id": "3a1b2c3d-4e5f-6789-abcd-ef0123456789"
+  "event_id": "3a1b2c3d-4e5f-6789-abcd-ef0123456789",
+  "status": "PENDING"
 }
 ```
 </CodeGroup>

docs/introduction.mdx

@@ -10,7 +10,7 @@ mode: "custom"
   </h1>
 
   <p className="max-w-3xl mx-auto text-base text-gray-600 dark:text-zinc-400 leading-relaxed">
-    Universal, self-improving memory layer for LLM applications.
+    Mem0 gives your AI agents long-term memory that persists across sessions, tools, and runs.
   </p>
 </div>
 
@@ -34,10 +34,10 @@ mode: "custom"
       />
       <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
-          Add memory to your app
+          Store your first memory
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Start with the quickstart and store your first memory in minutes.
+          Five-minute quickstart: get an API key, then save and search a memory in Python or JavaScript.
         </p>
       </div>
     </a>
@@ -60,10 +60,10 @@ mode: "custom"
       />
       <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
-          Add memory to your agent
+          Add memory to your coding agent
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Give Claude Code, Cursor, and Codex memory that persists across sessions. A drop-in plugin, no code to write.
+          Plugins that let Claude Code, Cursor, Codex, and other harnesses remember your project. Opens the Claude Code guide.
         </p>
       </div>
     </a>
@@ -86,10 +86,10 @@ mode: "custom"
       />
       <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
-          Sign up for Mem0 as an agent
+          Let an AI agent sign itself up
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Let an AI agent mint a Mem0 API key, claim ownership later, and write its first memory from the terminal.
+          Four terminal commands create an account and API key. No email, no dashboard. Claim it as owner later.
         </p>
       </div>
     </a>
@@ -112,10 +112,10 @@ mode: "custom"
       />
       <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
-          Explore Mem0 integrations
+          Use Mem0 with your framework
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Connect Mem0 to LangChain, CrewAI, Vercel AI SDK, and 20+ partner frameworks.
+          Setup guides for 22 tools, including LangChain, CrewAI, LlamaIndex, and the Vercel AI SDK.
         </p>
       </div>
     </a>
@@ -138,10 +138,10 @@ mode: "custom"
       />
       <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
-          See memory-app examples
+          Copy a working example
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Browse cookbooks for companions, support agents, voice agents, research tools, and more.
+          Full walkthroughs for companion chatbots, support agents, voice agents, and research tools.
         </p>
       </div>
     </a>
@@ -164,10 +164,10 @@ mode: "custom"
       />
       <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
-          Self-host Mem0
+          Run Mem0 on your own servers
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Use Open Source when you want memory without the hosted platform.
+          The open-source version. Run it as a library or a Docker stack, with your data on your infrastructure.
         </p>
       </div>
     </a>

docs/llms.txt

@@ -38,7 +38,7 @@ This mints an evaluation key in <5 seconds. Use it immediately against the Platf
 
 ## Identify the User's Setup
 
-Look at the user's imports first - they determine which product (Platform vs OSS) and which language you should quote docs from. **Mem0 Platform (managed) is the recommended path** - 4-line integration, sub-50ms retrieval, no infra. Route to OSS only when the user has an explicit self-hosting requirement.
+Look at the user's imports first - they determine which product (Platform vs OSS) and which language you should quote docs from. **Mem0 Platform (managed) is the recommended path** - 4-line integration, no infra to run. Route to OSS only when the user has an explicit self-hosting requirement.
 
 ### Platform - Python [Platform]
 
@@ -170,21 +170,21 @@ If the user is on a pre-current major (Python < 2, TS < 3, or Platform `output_f
 
 - [Introduction](https://docs.mem0.ai/introduction) [Both]: Use when the user wants a one-page overview of how memory fits between the LLM and the app.
 - [Vibe Code with Mem0](https://docs.mem0.ai/vibecoding) [Both]: Use when the user is in Claude Code, Cursor, or Windsurf and wants memory wired into their editor.
-- [Platform Overview](https://docs.mem0.ai/platform/overview) [Platform]: Use when the user picks the managed product - 4-line integration, sub-50ms retrieval, dashboard.
+- [Platform Overview](https://docs.mem0.ai/platform/overview) [Platform]: Use when the user picks the managed product - 4-line integration, hosted API, dashboard.
 - [Sign up as an agent](https://docs.mem0.ai/platform/agent-signup) [Platform]: Use when an AI agent needs to mint a Mem0 API key autonomously - four commands, no email or dashboard, human claims ownership later.
 - [Platform vs Open Source](https://docs.mem0.ai/platform/platform-vs-oss) [Both]: Use when the user is deciding between managed and self-hosted.
 - [Platform Quickstart](https://docs.mem0.ai/platform/quickstart) [Platform]: Use for the first Platform integration - API key plus `MemoryClient.add/search`.
 - [Platform CLI](https://docs.mem0.ai/platform/cli) [Platform]: Use when the user wants to manage Platform memories from the terminal.
 - [Mem0 MCP Server](https://docs.mem0.ai/platform/mem0-mcp) [Platform]: Use when connecting memory to AI coding tools over MCP.
 - [Open Source Overview](https://docs.mem0.ai/open-source/overview) [OSS]: Use when the user needs full infra control and custom provider wiring.
-- [Open Source Configuration](https://docs.mem0.ai/open-source/configuration) [OSS]: Use when configuring `Memory` - LLM, embedder, vector store, graph store.
+- [Open Source Configuration](https://docs.mem0.ai/open-source/configuration) [OSS]: Use when configuring `Memory` - LLM, embedder, vector store, reranker.
 - [Open Source Python Quickstart](https://docs.mem0.ai/open-source/python-quickstart) [OSS]: Use for the first self-hosted Python integration.
 - [Open Source Node.js Quickstart](https://docs.mem0.ai/open-source/node-quickstart) [OSS]: Use for the first self-hosted Node integration.
 - [Self-Hosted Setup](https://docs.mem0.ai/open-source/setup) [OSS]: Use when standing up the bundled REST server and dashboard via Docker Compose, including auth, API keys, and the setup wizard.
 
 ## Core Concepts
 
-- [How Mem0 Works](https://docs.mem0.ai/core-concepts/how-it-works) [Both]: Use when explaining the end-to-end pipeline: extraction (ADD-only distillation), storage across vector/graph/history stores, and multi-signal retrieval.
+- [How Mem0 Works](https://docs.mem0.ai/core-concepts/how-it-works) [Both]: Use when explaining the end-to-end pipeline: extraction (ADD-only distillation), storage across vector/entity/history stores, and multi-signal retrieval.
 - [Memory Types](https://docs.mem0.ai/core-concepts/memory-types) [Both]: Use when explaining working, factual, episodic, and semantic memory distinctions.
 - [Memory Operations - Add](https://docs.mem0.ai/core-concepts/memory-operations/add) [Both]: Use when explaining how `add()` extracts facts, resolves conflicts, and writes to both stores.
 - [Memory Operations - Search](https://docs.mem0.ai/core-concepts/memory-operations/search) [Both]: Use when explaining how queries are processed and ranked.
@@ -207,6 +207,7 @@ If the user is on a pre-current major (Python < 2, TS < 3, or Platform `output_f
 - [Temporal Reasoning](https://docs.mem0.ai/platform/features/temporal-reasoning) [Platform]: Use when time-aware searches like last week, upcoming, or right now need better result ordering.
 - [Custom Instructions](https://docs.mem0.ai/platform/features/custom-instructions) [Platform]: Use when tailoring what Mem0 extracts and stores on Platform.
 - [Memory Decay](https://docs.mem0.ai/platform/features/memory-decay) [Platform]: Use when search results should boost recently-reinforced memories and dampen stale ones. Opt in per project; applies at search time and never filters candidates out.
+- [Dream](https://docs.mem0.ai/platform/features/dream) [Platform]: Use when long-lived user memory should stay coherent on its own - synthesizing recurring patterns, superseding outdated facts, and merging duplicates in the background. Synthesis is opt-in (Pro+); Supersede and Merge are always on.
 - [Advanced Memory Operations](https://docs.mem0.ai/platform/advanced-memory-operations) [Platform]: Use when basic CRUD is not enough - batch ops, complex filters, workflows.
 
 ### Features - Data Management

docs/migration/oss-v2-to-v3.mdx

@@ -1,6 +1,6 @@
 ---
 title: "Open Source: Migrating to the New Memory Algorithm"
-description: "Guide for self-hosted Mem0 users to upgrade to the new memory algorithm with ADD-only extraction, hybrid search, and entity linking."
+description: "Guide for self-hosted Mem0 users to upgrade to the new memory algorithm with ADD-only extraction, hybrid search, and entity-aware retrieval."
 icon: "arrow-right"
 iconType: "solid"
 ---
@@ -15,7 +15,8 @@ The new Mem0 release redesigns both extraction and retrieval, and cleans up the
 
 - **Extraction**: Single-pass ADD-only (one LLM call, no UPDATE/DELETE)
 - **Retrieval**: Multi-signal hybrid search (semantic + BM25 keyword + entity matching)
-- **Entity linking**: Automatic entity extraction and cross-memory linking
+- **Entity matching**: Automatic entity extraction feeds a third scoring signal in hybrid search, boosting memories that share entities with the query
+- **Graph memory moved to Platform**: The external graph store integration is removed from OSS; graph memory is now a built-in, always-on [Mem0 Platform feature](/platform/features/graph-memory)
 - **SDK cleanup**: Deprecated parameters removed, naming conventions standardized
 - **API surface aligned with Platform**: Entity IDs now follow the same convention across OSS and Platform: top-level kwargs for `add()` / `delete_all()`, inside `filters` for `search()` / `get_all()`
 
@@ -37,7 +38,7 @@ These changes produce a **+20 point improvement on LoCoMo** (71.4 → 91.6) and
 | `add()` events | Returns `ADD`, `UPDATE`, `DELETE` | Returns `ADD` only | Update code expecting UPDATE/DELETE |
 | Custom extraction prompt | `custom_fact_extraction_prompt` | `custom_instructions` | Rename in config |
 | Custom update prompt | `custom_update_memory_prompt` | Deprecated | Use `custom_instructions` instead |
-| Graph memory | `enable_graph` + `graph_store` in config | Removed | Graph store support has been removed entirely |
+| Graph memory | `enable_graph` + `graph_store` in config | Removed | Graph memory is removed from OSS. It's a built-in, always-on [Mem0 Platform feature](/platform/features/graph-memory) |
 | Qdrant client | `>=1.9.1` | `>=1.12.0` | Update dependency |
 | Upstash client | `>=0.1.0` | `>=0.6.0` | Update dependency |
 
@@ -53,8 +54,8 @@ These changes produce a **+20 point improvement on LoCoMo** (71.4 → 91.6) and
 | `messages` in `add()` | Could be `null` / `undefined` | Required: throws on null/undefined | Always pass a string or array |
 | Payload key for lemmatized text | `text_lemmatized` (snake_case) | `textLemmatized` (camelCase) | TS-only internal field. If you share a vector store collection between Python and TS SDKs, lemma-based BM25 will not resolve across languages: keep collections language-scoped. |
 | Custom prompt | `customPrompt` | `customInstructions` | Rename in config |
-| Graph memory | `enableGraph` + `graphStore` in config | Removed | Graph store support has been removed entirely |
-| Default graph config | Neo4j default config applied | No default graph config | Graph store config is no longer used |
+| Graph memory | `enableGraph` + `graphStore` in config | Removed | Graph memory is removed from OSS. It's a built-in, always-on [Mem0 Platform feature](/platform/features/graph-memory) |
+| Default graph config | Neo4j default config applied | No default graph config | Graph store config is no longer read; OSS has no built-in graph config to fall back to |
 
 ### Python Client SDK
 
@@ -104,7 +105,7 @@ These changes produce a **+20 point improvement on LoCoMo** (71.4 → 91.6) and
 </Tabs>
 
 <Info>
-The Python `[nlp]` extra installs [spaCy](https://spacy.io/) for entity extraction and keyword lemmatization. Without it, Mem0 still works but falls back to semantic-only search (no entity linking, no BM25 lemmatization).
+The Python `[nlp]` extra installs [spaCy](https://spacy.io/) for entity extraction and keyword lemmatization. Without it, Mem0 still works but falls back to semantic-only search (no entity matching, no BM25 lemmatization).
 </Info>
 
 <Warning>
@@ -135,7 +136,7 @@ pip install fastembed
     config = {
         "custom_instructions": "Focus on user preferences",  # [OK] New name
         # custom_update_memory_prompt removed: use custom_instructions
-        # enable_graph and graph_store removed: graph store support has been removed
+        # enable_graph and graph_store removed: graph memory is now a Mem0 Platform feature
     }
     ```
   </Tab>
@@ -154,7 +155,7 @@ pip install fastembed
     // After
     const config = {
       customInstructions: "Focus on user preferences",  // [OK] New name
-      // enableGraph and graphStore removed: graph store support has been removed
+      // enableGraph and graphStore removed: graph memory is now a Mem0 Platform feature
     };
     ```
   </Tab>
@@ -320,35 +321,31 @@ pip install "qdrant-client>=1.12.0"
 pip install "upstash-vector>=0.6.0"
 ```
 
-### 6. Entity Store Setup
+### 6. Entity Matching Store Setup
 
-The new algorithm automatically creates a parallel entity store collection named `{your_collection}_entities`. No manual setup is required: it's created on first use.
+The new algorithm automatically creates a parallel collection named `{your_collection}_entities` to power entity matching, the third signal in hybrid search. No manual setup is required: it's created on first use. This is separate from and unrelated to graph memory, which is a Mem0 Platform feature.
 
 <Warning>
 Make sure your vector store user/credentials have permission to create new collections. If you're using a managed vector database with restricted permissions, pre-create the `{collection_name}_entities` collection with the same embedding dimensions as your main collection.
 </Warning>
 
-## Graph Memory: Now Built-In
+## Graph Memory: Platform Only
 
-External graph **store** support has been removed from the open-source SDK and replaced by **built-in graph memory** (entity linking), which runs natively with no external dependencies.
+Graph memory is removed from the open-source SDK. It is not being replaced by an OSS equivalent: graph memory is a **Mem0 Platform** feature, built in and always on, with no external graph database required. See [Graph Memory](/platform/features/graph-memory) for what it does on Platform.
 
-**What was removed:**
+**What was removed from OSS:**
 - `enable_graph` / `enableGraph` config flag
-- `graph_store` / `graphStore` configuration block (Neo4j, Memgraph, Kuzu, Apache AGE, Neptune)
-- All external graph store code paths (~4000 lines)
-
-**What replaces it:**
-
-Mem0 now builds the graph itself. It extracts entities (proper nouns, quoted text, compound noun phrases) from every memory during the add pipeline and stores them in a parallel collection (`{collection}_entities`) inside your existing vector store. Memories that share an entity are linked, and at search time entities from the query are matched against this collection to boost connected memories. The boost is folded into the combined `score` on each result.
+- `graph_store` / `graphStore` configuration block
+- All external graph store drivers (Neo4j, Memgraph, Kuzu, Apache AGE, Neptune) and their code paths (~4000 lines)
 
 **Migration:**
 - Remove `enable_graph` / `enableGraph` from your config
 - Remove the `graph_store` / `graphStore` block: it is no longer read
 - Uninstall external graph drivers (neo4j, memgraph, etc.) if you were using them only for Mem0
-- No data migration is required. Built-in graph memory activates automatically on the next `add()` call.
+- If you need graph memory, use [Mem0 Platform](/platform/features/graph-memory) instead of self-hosted OSS
 
 <Warning>
-The old `relations` field on search results (populated by the external graph store) is no longer returned. Entity connections are now applied through retrieval ranking rather than exposed as a separate, directly traversable structure. If your application read or traversed the `relations` array, you will need to redesign that part against the new API.
+The old `relations` field on search results (populated by the external graph store) is no longer returned in OSS. OSS has no graph memory replacement, so there is nothing to populate this field with. If your application read or traversed the `relations` array, either move to Mem0 Platform to keep that data or redesign that part against the new OSS retrieval API.
 </Warning>
 
 ## How the New Algorithm Works
@@ -362,7 +359,7 @@ Input conversation
     → Batch embed extracted memories
     → Hash-based deduplication (MD5, prevents exact duplicates)
     → Batch insert into vector store
-    → Entity extraction + linking
+    → Entity extraction (for entity matching)
 ```
 
 The previous algorithm used two LLM calls: one to extract candidate facts, one to decide ADD/UPDATE/DELETE actions against existing memories. The new algorithm collapses this into a single call that only adds. The model spends its capacity on understanding the input rather than diffing against existing state.
@@ -375,7 +372,7 @@ Query
     → Parallel scoring:
         1. Semantic search (vector similarity)
         2. BM25 keyword search (normalized term matching)
-        3. Entity matching (entity graph boost)
+        3. Entity matching (entity overlap boost)
     → Score fusion → Top-K selection
 ```
 
@@ -408,8 +405,8 @@ The new features degrade gracefully when optional dependencies are missing:
 | Missing Dependency | Impact | Search Still Works? |
 |---|---|---|
 | spaCy (`mem0ai[nlp]`) | No entity extraction, no BM25 lemmatization | Yes (semantic-only) |
-| `fastembed` (Qdrant) | No BM25 keyword search | Yes (semantic + entity) |
-| Entity store unavailable | No entity boosting | Yes (semantic + BM25) |
+| `fastembed` (Qdrant) | No BM25 keyword search | Yes (semantic + entity matching) |
+| Entity matching store unavailable | No entity matching boost | Yes (semantic + BM25) |
 
 You always get semantic search. Hybrid search features layer on top when available.
 
@@ -449,13 +446,13 @@ These parameters have been removed across all SDKs. Remove them from your code:
 
 **Config:** `custom_update_memory_prompt` → deprecated, use `custom_instructions`
 
-**Config:** `enable_graph` + `graph_store` → removed (graph store support removed entirely)
+**Config:** `enable_graph` + `graph_store` → removed (graph memory is now a [Mem0 Platform feature](/platform/features/graph-memory))
 
 ### TypeScript OSS: Removed/renamed parameters
 
 **Config:** `customPrompt` → renamed to `customInstructions`
 
-**Config:** `enableGraph` + `graphStore` → removed (graph store support removed entirely)
+**Config:** `enableGraph` + `graphStore` → removed (graph memory is now a [Mem0 Platform feature](/platform/features/graph-memory))
 
 **search():** `limit` → renamed to `topK`
 
@@ -521,9 +518,9 @@ If spaCy is not installed at all, install the NLP extras:
 pip install "mem0ai[nlp]"
 ```
 
-### Entity store collection creation fails
+### Entity matching store collection creation fails
 
-The entity store tries to create a `{collection_name}_entities` collection automatically. If your vector database has restricted permissions, pre-create this collection with the same embedding dimensions as your main collection.
+The entity matching store tries to create a `{collection_name}_entities` collection automatically. If your vector database has restricted permissions, pre-create this collection with the same embedding dimensions as your main collection.
 
 ### Score values are different from before
 

docs/migration/platform-v2-to-v3.mdx

@@ -146,9 +146,8 @@ curl -X POST 'https://api.mem0.ai/v3/memories/?page=1&page_size=50' \
 
 ```json
 {
-  "message": "Memory processing has been queued for background execution",
-  "status": "PENDING",
-  "event_id": "evt-uuid"
+  "event_id": "evt-uuid",
+  "status": "PENDING"
 }
 ```
 

docs/open-source/configuration.mdx

@@ -4,7 +4,7 @@ description: "Configure Mem0 OSS in Python or TypeScript with your own LLM, embe
 icon: "sliders"
 ---
 
-Mem0 OSS works out of the box with OpenAI defaults. Point it at your own LLM, embedder, and vector store by passing a config when you create `Memory`. The Python SDK also supports a reranker and graph memory.
+Mem0 OSS works out of the box with OpenAI defaults. Point it at your own LLM, embedder, vector store, and reranker by passing a config when you create `Memory`.
 
 <Info>
   **Prerequisites**
@@ -90,11 +90,11 @@ Set your provider keys as environment variables:
 
 ```bash
 export OPENAI_API_KEY="..."
-export COHERE_API_KEY="..."   # Python reranker only
+export COHERE_API_KEY="..."   # Cohere reranker only
 ```
 
 <Note>
-  The TypeScript OSS SDK configures the LLM, embedder, vector store, and history store. Reranker and graph memory are Python-only today.
+  The TypeScript OSS SDK configures the LLM, embedder, vector store, history store, and reranker. Graph memory is not part of OSS in either language: it is a built-in [Mem0 Platform feature](/platform/features/graph-memory).
 </Note>
 
 Prefer a config file? Load YAML into Python's `from_config`:

docs/open-source/features/reranker-search.mdx

@@ -97,7 +97,7 @@ const results = await memory.search("What movies do I like?", {
 
 ### LLM reranker
 
-To score with an LLM instead of a dedicated reranker, use the `llm_reranker` provider. It builds its own LLM from the reranker's config (defaulting to `openai` / `gpt-4o-mini`) rather than reusing the Memory's main `llm`:
+To score with an LLM instead of a dedicated reranker, use the `llm_reranker` provider. It builds its own LLM from the reranker's config (defaulting to `openai` / `gpt-5-mini`) rather than reusing the Memory's main `llm`:
 
 ```typescript
 const memory = new Memory({
@@ -137,7 +137,7 @@ const memory = new Memory({
 | `zero_entropy` | `zerank-1` | `apiKey`, `model`, `topK` |
 | `sentence_transformer` | `Xenova/ms-marco-MiniLM-L-6-v2` | `model`, `device`, `maxLength`, `normalize`, `topK` |
 | `huggingface` | `Xenova/bge-reranker-base` | `model`, `device`, `maxLength`, `normalize`, `topK` |
-| `llm_reranker` | `openai` / `gpt-4o-mini` | `provider`, `model`, `apiKey`, `llm` (nested override), `topK` |
+| `llm_reranker` | `openai` / `gpt-5-mini` | `provider`, `model`, `apiKey`, `llm` (nested override), `topK` |
 
 <Note>
   `rerank` is opt-in per search and a no-op when no `reranker` is configured. If the reranker call fails, Mem0 logs a warning and returns the original vector-ranked results.

docs/open-source/python-quickstart.mdx

@@ -35,8 +35,7 @@ pip install mem0ai
 from mem0 import Memory
 
 m = Memory()
-
-````
+```
 </Step>
 
 <Step title="Add a memory">
@@ -46,7 +45,7 @@ messages = [
     {"role": "assistant", "content": "Hey Alex! I'll remember your interests."}
 ]
 m.add(messages, user_id="alex")
-````
+```
 
 </Step>
 

docs/platform/advanced-memory-operations.mdx

@@ -27,7 +27,7 @@ pip install mem0ai
 </Step>
 <Step title="Export your API key">
 ```bash
-export MEM0_API_KEY="sk-platform-..."
+export MEM0_API_KEY="m0-..."
 ```
 </Step>
 <Step title="Create an async client">
@@ -49,7 +49,7 @@ npm install mem0ai
 </Step>
 <Step title="Load your API key">
 ```bash
-export MEM0_API_KEY="sk-platform-..."
+export MEM0_API_KEY="m0-..."
 ```
 </Step>
 <Step title="Instantiate the client">
@@ -158,6 +158,8 @@ await memory.update(matches.results[0].id, {
 
 ## Clean up
 
+Scope each delete call to a single entity id where possible; combining more than one entity filter in the same `delete_all` call is not guaranteed to AND them together today.
+
 <Tabs>
   <Tab title="Python">
 <Steps>

docs/platform/agent-signup.mdx

@@ -1,13 +1,19 @@
 ---
 title: Sign up as an agent
-description: "Zero-friction signup for AI agents: mint a working Mem0 API key in under five seconds. No email, no dashboard, no OTP."
+description: "Let an AI agent create its own Mem0 account and API key in four commands, with no email or dashboard needed."
 icon: "robot"
 iconType: "solid"
 ---
 
-If you're an AI agent (Claude Code, Cursor, Codex, Cline, Aider, Windsurf, or any other autonomous coding tool), you don't need a human to set up Mem0 for you. Four commands (install, sign up, push a memory, search it) and you have persistent memory.
+Normally a person signs up for Mem0, gets an API key from the dashboard, and hands it to their tools. Agent Mode skips that: a coding agent creates its own account from the terminal and starts storing memories immediately. A human can take ownership of that account later, without disrupting the agent.
 
-## The 4-command demo
+This page is written for both readers. The setup below is for the agent; [Claiming the account](#claiming-the-account-for-the-human-owner) is for the person who ends up owning it.
+
+<Note>
+**If you're an AI agent** (Claude Code, Cursor, Codex, Cline, Aider, Windsurf, or any other coding tool), run the four commands below. You don't need a human to set Mem0 up for you.
+</Note>
+
+## Sign up in four commands
 
 <CodeGroup>
 ```bash npm
@@ -17,11 +23,11 @@ npm install -g @mem0/cli
 # 2. Sign up as an agent (replace `claude-code` with your name)
 mem0 init --agent --agent-caller claude-code
 
-# 3. Push a memory
-mem0 add "I am using mem0"
+# 3. Store a memory
+mem0 add "Prefers TypeScript over JavaScript for new projects"
 
-# 4. Verify
-mem0 search "am I using mem0"
+# 4. Search it back
+mem0 search "what language should I use"
 ```
 
 ```bash pip
@@ -31,14 +37,22 @@ pip install mem0-cli
 # 2. Sign up as an agent (replace `claude-code` with your name)
 mem0 init --agent --agent-caller claude-code
 
-# 3. Push a memory
-mem0 add "I am using mem0"
+# 3. Store a memory
+mem0 add "Prefers TypeScript over JavaScript for new projects"
 
-# 4. Verify
-mem0 search "am I using mem0"
+# 4. Search it back
+mem0 search "what language should I use"
 ```
 </CodeGroup>
 
+Step 2 prints your new account's default scope and how to hand the account to a human later:
+
+```
+✓ Agent Mode active. Default user_id: swift-otter-4821
+
+  To claim this account later: mem0 init --email <your-email>
+```
+
 That's it. Under 30 seconds from a fresh shell to a working memory store.
 
 ## Identify yourself with `--agent-caller`
@@ -46,17 +60,17 @@ That's it. Under 30 seconds from a fresh shell to a working memory store.
 Replace `claude-code` in the `init` command with your actual agent name (`cursor`, `codex`, `cline`, `aider`, or any short label). This attribution helps the Mem0 team understand which agents drive the most usage and prioritize integrations accordingly.
 
 <Tip>
-**Forgot `--agent-caller` on init?** Run `mem0 identify <your-name>` after the fact, same key, just back-fills the attribution. Idempotent.
+**Forgot `--agent-caller` when you ran `init`?** Run `mem0 identify <your-name>` afterwards. It keeps the same API key and just fills in the name, so it is safe to run more than once.
 </Tip>
 
 ## What happened when you ran `mem0 init --agent`?
 
-- A **shadow account** was minted on the Mem0 backend with a fresh API key.
-- The key was saved to `~/.mem0/config.json` (mode 0600) on the machine you ran the command on.
-- A default `user_id` was provisioned so `mem0 add` / `mem0 search` work without explicit scope flags.
-- The account is **unclaimed**; no human owns it yet.
+- A new Mem0 account was created with its own API key.
+- The key was saved to `~/.mem0/config.json` on that machine, readable only by you (file mode `0600`).
+- A default `user_id` was created, so `mem0 add` and `mem0 search` work without you passing scope flags.
+- **Nobody owns the account yet.** It works, but no human is attached to it until someone claims it.
 
-Every command run against this key prints a one-line reminder asking you to surface the claim instructions to your human user.
+Every command run with this key prints a one-line reminder to pass the claim instructions on to your human.
 
 ## Claiming the account (for the human owner)
 
@@ -66,7 +80,7 @@ When the human is ready to take ownership of the agent's account (and all the me
 mem0 init --email you@yourcompany.com
 ```
 
-The CLI detects the existing Agent Mode config, sends a verification code, and upgrades the shadow account in-place:
+The CLI spots the existing Agent Mode setup, emails a verification code, and upgrades the account in place:
 
 - **The API key never changes**, so the agent isn't disrupted.
 - **All memories transfer** to the human's account.
@@ -76,31 +90,33 @@ Pass `--code 123456` to skip the interactive code prompt for fully non-interacti
 
 ## Rate limits and quotas
 
-Agent Mode signups are rate-limited to **5 per day per IP address** to prevent abuse. If you hit the limit, the CLI returns:
+Agent Mode signups are limited to **5 per day per IP address** to prevent abuse. If you hit the limit, the CLI tells you so:
 
 ```
 Daily Agent Mode signup limit reached for this network (5/day).
 Try again from a different IP or after midnight UTC.
 ```
 
-Unclaimed agent accounts get the standard Mem0 free-tier quotas. The human owner can upgrade after claiming.
+Calling the API directly instead of through the CLI returns a plain `403 Forbidden` with no explanation and no `Retry-After` header, so handle that case yourself.
+
+Until someone claims it, an agent account gets the standard Mem0 free-tier quotas. The human owner can upgrade after claiming.
 
 ## What's next
 
 <CardGroup cols={2}>
-<Card title="CLI Reference" icon="terminal" href="/platform/cli">
-Full command-by-command reference for `mem0 add`, `mem0 search`, `mem0 list`, and the rest.
+<Card title="CLI reference" icon="terminal" href="/platform/cli">
+Every command in full: `mem0 add`, `mem0 search`, `mem0 list`, and the rest.
 </Card>
 
-<Card title="Memory Operations" icon="database" href="/core-concepts/memory-operations/add">
+<Card title="Memory operations" icon="database" href="/core-concepts/memory-operations/add">
 How `add`, `search`, `update`, and `delete` work under the hood.
 </Card>
 
 <Card title="Mem0 MCP" icon="plug" href="/platform/mem0-mcp">
-Connect agents to Mem0 via the Model Context Protocol, as an alternative integration path.
+Give your agent memory as a set of tools instead of shell commands.
 </Card>
 
-<Card title="Platform Overview" icon="star" href="/platform/overview">
-The full Mem0 Platform feature set once you claim your account.
+<Card title="Platform overview" icon="star" href="/platform/overview">
+Everything the account unlocks once a human claims it.
 </Card>
 </CardGroup>

docs/platform/cli.mdx

@@ -9,9 +9,7 @@ The mem0 CLI lets you add, search, list, update, and delete memories directly fr
 
 Both implementations provide identical behavior: same commands, same options, same output formats.
 
-<Tip>
-**Built for AI agents.** Pass `--agent` (or `--json`) as a global flag on any command to get structured JSON output optimized for programmatic consumption: sanitized fields, no colors or spinners, and errors as JSON too. Drop it into any agent tool loop with zero extra parsing.
-</Tip>
+Running it inside an agent? Put `--agent` before any command to get clean JSON instead of human output. See [Use with AI agents](#use-with-ai-agents).
 
 ## Installation
 
@@ -97,6 +95,8 @@ mem0 init --api-key m0-xxx --user-id alice --force
 | `-u, --user-id` | Default user ID (skip prompt) |
 | `--email` | Login via email verification code |
 | `--code` | Verification code (use with `--email` for non-interactive login) |
+| `--agent` | Create an Agent Mode account, with no email needed |
+| `--agent-caller` | Name the agent running the command, such as `claude-code` |
 | `--force` | Overwrite existing config without confirmation |
 
 <Note>
@@ -117,12 +117,25 @@ echo "Loves hiking on weekends" | mem0 add --user-id alice
 |------|-------------|
 | `-u, --user-id` | Scope to a user |
 | `--agent-id` | Scope to an agent |
+| `--app-id` | Scope to an app |
+| `--run-id` | Scope to a single run or session |
 | `--messages` | Conversation messages as JSON |
 | `-f, --file` | Read messages from a JSON file |
 | `-m, --metadata` | Custom metadata as JSON |
-| `--categories` | Categories (JSON array or comma-separated) |
+| `--categories` | Rejected on `add`. Use `--custom-categories` instead |
+| `--custom-categories` | Custom categories as a JSON array of `{name: description}` objects |
+| `--custom-instructions` | Custom instructions for fact extraction |
+| `--structured-data-schema` | Schema for structured data extraction, as JSON |
+| `--timestamp` | Unix timestamp for the memory |
+| `--expires` | Expiration date, after which the memory stops being returned |
+| `--immutable` | Store the memory so it can never be updated or overwritten |
+| `--no-infer` | Store the text exactly as given, skipping fact extraction |
 | `-o, --output` | Output format: `text`, `json`, `quiet` |
 
+<Note>
+`--categories` is not supported on `add` and exits with an error pointing at `--custom-categories`.
+</Note>
+
 ### `mem0 search`
 
 Search memories using natural language.
@@ -135,11 +148,18 @@ mem0 search "preferred tools" --user-id alice --output json --top-k 5
 | Flag | Description |
 |------|-------------|
 | `-u, --user-id` | Filter by user |
-| `-k, --top-k` | Number of results (default: 10) |
+| `--agent-id` | Filter by agent |
+| `--app-id` | Filter by app |
+| `--run-id` | Filter by run or session |
+| `-k, --top-k` | Number of results (default: 10). `--limit` does the same thing |
 | `--threshold` | Minimum similarity score (default: 0.3) |
 | `--rerank` | Enable reranking |
 | `--keyword` | Use keyword search instead of semantic |
 | `--filter` | Advanced filter expression (JSON) |
+| `--fields` | Return only the named fields |
+| `--show-expired` | Include expired memories |
+| `--reference-date` | Reference date for relative queries (`YYYY-MM-DD` or Unix timestamp) |
+| `--latest-only` | Only return the latest version of each memory |
 | `-o, --output` | Output format: `text`, `json`, `table` |
 
 ### `mem0 list`
@@ -155,11 +175,16 @@ mem0 list --user-id alice --after 2024-01-01 --page-size 50
 | Flag | Description |
 |------|-------------|
 | `-u, --user-id` | Filter by user |
+| `--agent-id` | Filter by agent |
+| `--app-id` | Filter by app |
+| `--run-id` | Filter by run or session |
 | `--page` | Page number (default: 1) |
 | `--page-size` | Results per page (default: 100) |
 | `--category` | Filter by category |
 | `--after` | Created after date (YYYY-MM-DD) |
 | `--before` | Created before date (YYYY-MM-DD) |
+| `--show-expired` | Include expired memories |
+| `--latest-only` | Only return the latest version of each memory |
 | `-o, --output` | Output format: `text`, `json`, `table` |
 
 ### `mem0 get`
@@ -171,6 +196,10 @@ mem0 get 7b3c1a2e-4d5f-6789-abcd-ef0123456789
 mem0 get 7b3c1a2e-4d5f-6789-abcd-ef0123456789 --output json
 ```
 
+| Flag | Description |
+|------|-------------|
+| `-o, --output` | Output format: `text`, `json` |
+
 ### `mem0 update`
 
 Update the text or metadata of an existing memory.
@@ -181,6 +210,13 @@ mem0 update <memory-id> --metadata '{"priority": "high"}'
 echo "new text" | mem0 update <memory-id>
 ```
 
+| Flag | Description |
+|------|-------------|
+| `-m, --metadata` | Replace the memory's metadata with this JSON |
+| `--expires` | Expiration date (YYYY-MM-DD) |
+| `--timestamp` | Unix timestamp for the memory |
+| `-o, --output` | Output format: `text`, `json`, `quiet` |
+
 ### `mem0 delete`
 
 Delete a single memory, all memories for a scope, or an entire entity.
@@ -201,9 +237,14 @@ mem0 delete --all --user-id alice --dry-run
 
 | Flag | Description |
 |------|-------------|
+| `-u, --user-id` | Scope the deletion to a user |
+| `--agent-id` | Scope the deletion to an agent |
+| `--app-id` | Scope the deletion to an app |
+| `--run-id` | Scope the deletion to a run or session |
 | `--all` | Delete all memories matching scope filters |
 | `--entity` | Delete the entity and all its memories |
 | `--project` | With `--all`: delete all memories project-wide |
+| `--delete-linked` | Also delete memories linked to this memory |
 | `--dry-run` | Preview without deleting |
 | `--force` | Skip confirmation prompt |
 
@@ -217,6 +258,12 @@ mem0 import data.json --user-id alice
 
 The file should be a JSON array where each item has a `memory` (or `text` or `content`) field and optional `user_id`, `agent_id`, and `metadata` fields.
 
+| Flag | Description |
+|------|-------------|
+| `-u, --user-id` | Default user for items that do not set their own |
+| `--agent-id` | Default agent for items that do not set their own |
+| `-o, --output` | Output format: `text`, `json` |
+
 ### `mem0 config`
 
 View or modify the local CLI configuration.
@@ -237,6 +284,18 @@ mem0 entity list agents --output json
 mem0 entity delete --user-id alice --force
 ```
 
+Deleting an entity removes it and every memory belonging to it. Preview first with `--dry-run`.
+
+| Flag | Description |
+|------|-------------|
+| `-u, --user-id` | The user to delete |
+| `--agent-id` | The agent to delete |
+| `--app-id` | The app to delete |
+| `--run-id` | The run or session to delete |
+| `--dry-run` | Show what would be deleted, without deleting it |
+| `--force` | Skip confirmation prompt |
+| `-o, --output` | Output format: `text`, `json` |
+
 ### `mem0 event`
 
 Inspect background processing events created by async operations (e.g. bulk deletes, large add jobs).
@@ -261,23 +320,15 @@ Verify your API connection and display the current project.
 mem0 status
 ```
 
-### `mem0 version`
+### `mem0 whoami`
 
-Print the CLI version.
+Print the identity the CLI is currently using. After `mem0 init --agent`, the
+server issues an identifier (`default_user_id`, for example
+`user_a1b2c3d4e5f6`) and the CLI stores it in `~/.mem0/config.json`. That value
+is the agent's stable identity across runs, and it is the row key on the
+[AGENTRUSH leaderboard](https://mem0.ai/agentrush).
 
-```bash
-mem0 version
-```
-
-## Identity helper: `mem0 whoami`
-
-After running `mem0 init --agent`, the CLI persists a server-issued identifier
-(`default_user_id`, e.g. `user_a1b2c3d4e5f6`) in `~/.mem0/config.json`. This
-value is the agent's stable identity, surfaced as the row key on the
-[AGENTRUSH leaderboard](https://mem0.ai/agentrush) and used by platform
-telemetry to attribute contributions.
-
-Print it without parsing the config file by hand:
+Use this instead of parsing the config file by hand:
 
 ```bash
 mem0 whoami
@@ -288,89 +339,47 @@ mem0 whoami
 No network call. The command exits with code `1` if no `default_user_id` is
 configured yet. In that case, run `mem0 init --agent` first.
 
-## AGENTRUSH: `mem0 agent-rush <add | search>`
+### `mem0 identify`
 
-AGENTRUSH is a 7-day public competition where AI agents (not humans) compete
-inside a single shared Mem0 project. Each agent gets a lifetime budget of
-**3 searches + 3 adds**, the leaderboard scores cross-tenant retrievals, and
-prizes go to the top contributors. See [mem0.ai/agentrush](https://mem0.ai/agentrush)
-for current event details.
+Attach an agent name to an account created with `mem0 init --agent`, if you did
+not pass `--agent-caller` at the time. It keeps the same API key and only fills
+in the name, so it is safe to run more than once. See
+[Sign up as an agent](/platform/agent-signup).
 
-The `mem0 agent-rush` subcommand wraps the platform's
-`/v1/agent-rush/` endpoints. Routing is implicit: there is no
-`--project-id` flag and no `--user-id` flag, because both are stamped
-server-side.
+### `mem0 help`
 
-### Bootstrap once, then play
-
-```bash
-# 1. Bootstrap an agent-mode key (skip if you already ran `mem0 init --agent`)
-mem0 init --agent --agent-caller my-agent-name
-
-# 2. Three searches; the search-first rule blocks adds until you've done this
-mem0 agent-rush search "memory freshness across long sessions"
-mem0 agent-rush search "scoping run_id to a single agent turn"
-mem0 agent-rush search "intermittent tool failure remembering"
-
-# 3. Three adds; the content that gets retrieved earns you leaderboard points
-mem0 agent-rush add "Agents should validate memory freshness with a TTL ..."
-mem0 agent-rush add "Scoping memories by run_id avoids cross-session ..."
-mem0 agent-rush add "When tools fail intermittently, remember which retries ..."
-
-# 4. Check your row
-mem0 whoami
-# Then visit https://mem0.ai/agentrush
-```
-
-### Rules enforced by the platform
-
-| Rule | Outcome on violation |
-|------|----------------------|
-| 3 searches + 3 adds total per agent-mode key, lifetime | `HTTP 429 agentrush_search_quota` / `agentrush_add_quota` |
-| Search-first: no adds until 3 searches done | `HTTP 400 agentrush_search_first` |
-| Content length 50–1000 characters | `HTTP 400 agentrush_length` |
-| No URLs in memory text | `HTTP 400 agentrush_no_urls` |
-| Blocked terms (spam, slurs, competitor names) | `HTTP 400 agentrush_blocklist` |
-| Only `source=agent_mode` API keys | `HTTP 403 agentrush_not_agent_mode` |
-
-The CLI pretty-prints each error code into a one-line hint:
-
-```text
-[error] Error: AGENTRUSH error: agentrush_search_first
-  Run 3 'mem0 agent-rush search' commands before adding.
-```
-
-### Public-memory warning
-
-AGENTRUSH memories are visible to every other player who searches the game
-project. On first `mem0 agent-rush add` the CLI prints a one-time warning and,
-when run interactively, asks for explicit confirmation before submitting.
-**Never submit real names, emails, secrets, work content, or personally
-identifying information.** The acknowledgement is stored under
-`agent_rush.acknowledged_at` in `~/.mem0/config.json` so you are only asked
-once per machine.
-
-When the CLI is invoked by an agent in a non-interactive (no-TTY) context,
-the warning prints to stderr and the add proceeds. Agents cannot answer
-y/N prompts. Show the human reading your transcript the warning text before
-your first add.
+Print the command tree. Adding `--json` returns the whole tree as structured
+data, so an agent can discover the available commands and options for itself.
 
 ## Output formats
 
-All commands support the `--output` flag to control how results are displayed:
+Most commands take `-o, --output` to control how results are displayed. Not every command accepts every format:
 
-| Format | Description |
-|--------|-------------|
-| `text` | Human-readable output with colors and formatting (default for most commands) |
-| `json` | Structured JSON, suitable for piping to `jq` or consumption by AI agents |
-| `table` | Tabular format (default for `list`) |
-| `quiet` | Minimal output: just IDs or status codes |
-| `agent` | Structured JSON envelope with sanitized fields, set automatically by `--json`/`--agent` |
+| Format | Description | Accepted by |
+|--------|-------------|-------------|
+| `text` | Human-readable output with colors and formatting. The default everywhere except `list` | every command |
+| `json` | Structured JSON, suitable for piping to `jq` | every command |
+| `table` | Tabular format, and the default for `list` | `search`, `list` |
+| `quiet` | Minimal output: just IDs or status codes | `add`, `update`, `delete` |
 
-Example with JSON output:
+Passing a format a command does not accept is an error, so check the command's own flag table above.
+
+There is no `agent` value for `--output`. Agent mode is turned on by the global `--json`/`--agent` flag placed before the command name, and it overrides `--output`. See [Use with AI agents](#use-with-ai-agents).
+
+The exact JSON shape depends on the command. `search` returns a bare array of memories, while `list` returns an envelope object with the memories under `data`:
 
 ```bash
-mem0 search "user preferences" --user-id alice --output json | jq '.data.results[].memory'
+# search: results are the top-level array
+mem0 search "user preferences" --user-id alice --output json | jq '.[].memory'
+
+# list: results are nested under .data
+mem0 list --user-id alice --output json | jq '.data[].memory'
+```
+
+Agent mode always returns the envelope, whichever command you run, so `.data[]` works everywhere:
+
+```bash
+mem0 --agent search "user preferences" --user-id alice | jq '.data[].memory'
 ```
 
 ## Use with AI agents
@@ -424,6 +433,22 @@ Two other agent-friendly features:
 
 For non-interactive environments (CI, agent runtimes), set credentials via `mem0 init --api-key m0-xxx --user-id alice --force` or the `MEM0_API_KEY` environment variable.
 
+## Errors and exit codes
+
+Every command exits `0` when it succeeds and `1` when it fails, so `if mem0 ...; then` works as you would expect in a script. In agent mode (`--json` or `--agent`), failures still print a JSON envelope to stdout alongside the non-zero exit, so you can parse successes and failures the same way.
+
+Errors you are most likely to hit:
+
+| Message | Cause | Fix |
+|---------|-------|-----|
+| `Authentication failed` | The API key is missing, wrong, or revoked | Run `mem0 init` again, or get a new key from the dashboard |
+| `No content provided. Pass text, --messages, --file, or pipe via stdin.` | `mem0 add` was called with nothing to store | Give it text, a file, or piped input |
+| `Invalid JSON in --messages` / `--metadata` / `--filter` | The JSON value would not parse | Check the quoting, especially inside shell single quotes |
+| `Invalid date format for --expires. Use YYYY-MM-DD` | `--expires` got something other than a date | Use `YYYY-MM-DD`, and make sure the date is in the future |
+| `--threshold must be between 0.0 and 1.0.` | Score threshold out of range | Pass a value between `0.0` and `1.0` |
+
+Run [`mem0 status`](#mem0-status) to check whether the CLI can reach the API and which project the key belongs to. It reports the connection state, the API URL, and any error.
+
 ## Environment variables
 
 | Variable | Description |
@@ -434,17 +459,28 @@ For non-interactive environments (CI, agent runtimes), set credentials via `mem0
 | `MEM0_AGENT_ID` | Default agent ID |
 | `MEM0_APP_ID` | Default app ID |
 | `MEM0_RUN_ID` | Default run ID |
+| `MEM0_TELEMETRY` | Set to `false` to turn off usage telemetry. On by default |
 
 Environment variables take precedence over values in the config file, which take precedence over defaults.
 
 ## Global flags
 
-These flags are available on all commands:
+These two flags belong to `mem0` itself, so they go **before** the command name:
 
 | Flag | Description |
 |------|-------------|
 | `--json` | Enable agent mode: structured JSON envelope output, no colors or spinners |
 | `--agent` | Alias for `--json` |
+| `--version` | Print the CLI version and exit |
+
+<Warning>
+On `init` only, `--agent` means something different. `mem0 init --agent` creates an Agent Mode account (see [Sign up as an agent](/platform/agent-signup)); it does not switch the output to JSON. To get JSON from `init`, put the flag first: `mem0 --json init`.
+</Warning>
+
+The following flags are accepted by most commands, but they belong to the command, so they go **after** the command name:
+
+| Flag | Description |
+|------|-------------|
 | `--api-key` | Override the configured API key for this request |
 | `--base-url` | Override the configured API base URL for this request |
 | `-o, --output` | Set the output format |
@@ -456,11 +492,11 @@ These flags are available on all commands:
 Store your first memory in under five minutes using the SDK or CLI
 </Card>
 
-<Card title="Memory Operations" icon="database" href="/core-concepts/memory-operations/add">
+<Card title="Memory operations" icon="database" href="/core-concepts/memory-operations/add">
 Learn about add, search, update, and delete operations in depth
 </Card>
 
-<Card title="API Reference" icon="code" href="/api-reference/memory/add-memories">
+<Card title="API reference" icon="code" href="/api-reference/memory/add-memories">
 See the complete REST API documentation
 </Card>
 </CardGroup>

docs/platform/faqs.mdx

@@ -17,7 +17,7 @@ iconType: "solid"
   </Accordion>
 
     <Accordion title="What are the key features of Mem0?">
-        - **User, Session, and AI Agent Memory**: Retains information across sessions and interactions for users and AI agents, ensuring continuity and context.
+        - **User, Agent, App, and Run Memory**: Scopes memories to the individual, AI agent, application, and conversation/session they belong to, ensuring continuity and context.
         - **Adaptive Personalization**: Continuously updates memories based on user interactions and feedback.
         - **Developer-Friendly API**: Offers a straightforward API for seamless integration into various applications.
         - **Platform Consistency**: Ensures consistent behavior and data across different platforms and devices.
@@ -84,10 +84,12 @@ iconType: "solid"
         - Include specific examples or cases rather than general definitions
     </Accordion>
 
-    <Accordion title="How do I configure Mem0 for AWS Lambda?">
-        When deploying Mem0 on AWS Lambda, you'll need to modify the storage directory configuration due to Lambda's file system restrictions. By default, Lambda only allows writing to the `/tmp` directory.
+    <Accordion title="How do I configure Mem0 for AWS Lambda? (self-hosted / OSS only)">
+        This applies only if you are running the self-hosted OSS `Memory` class yourself (for example with a local vector store) inside a Lambda function. If you're using the hosted Mem0 Platform (`MemoryClient`), there is nothing to configure here: the Platform stores all memory data on Mem0's servers, not on your Lambda instance's filesystem, so Lambda's `/tmp`-only write restriction does not apply to you.
 
-        To configure Mem0 for AWS Lambda, set the `MEM0_DIR` environment variable to point to a writable directory in `/tmp`:
+        When deploying self-hosted Mem0 on AWS Lambda, you'll need to modify the storage directory configuration due to Lambda's file system restrictions. By default, Lambda only allows writing to the `/tmp` directory.
+
+        To configure self-hosted Mem0 for AWS Lambda, set the `MEM0_DIR` environment variable to point to a writable directory in `/tmp`:
 
         ```bash
         MEM0_DIR=/tmp/.mem0
@@ -149,7 +151,7 @@ iconType: "solid"
         2. Go to **Settings → Account**.
         3. Click **Delete account** and confirm.
 
-        Deletion is immediate and irreversible. The following is removed:
+        Deletion is asynchronous: the request is accepted immediately and processed in the background, typically within a few minutes. Once it completes, the following is removed:
 
         - Your user profile and login credentials
         - All memories, agents, and runs you created
@@ -157,7 +159,7 @@ iconType: "solid"
         - Organizations you solely own, along with their data
         - Your membership in any shared organizations (the orgs themselves are not affected)
 
-        Any application still using your old API keys will start receiving `401 Unauthorized` responses immediately. If you'd like to use Mem0 again later, you can create a new account at any time: it will start fresh with no data carried over.
+        Your old API keys stop working once deletion completes, not the instant you click confirm. If you'd like to use Mem0 again later, you can create a new account at any time: it will start fresh with no data carried over.
     </Accordion>
 
 </AccordionGroup>

docs/platform/features/advanced-retrieval.mdx

@@ -51,7 +51,7 @@ results = client.search(
 # Smart home assistant finding device preferences
 results = client.search(
     query="How do I like my bedroom temperature?",
-    rerank=True,           # Get most recent preferences first
+    rerank=True,           # Closest-matching preferences first
     filters={"user_id": "user123"},
 )
 
@@ -86,7 +86,7 @@ results = client.search(
 # Find learning progress for specific topics
 results = client.search(
     query="Python programming progress and difficulties",
-    rerank=True,           # Recent progress first
+    rerank=True,           # Closest-matching progress notes first
     filters={"user_id": "student123"},
 )
 
@@ -108,21 +108,13 @@ def quick_search(query, user_id):
         filters={"user_id": user_id},
     )
 
-# Reranked search - good for most applications
+# Reranked search - good when result order matters
 def standard_search(query, user_id):
     return client.search(
         query=query,
         rerank=True,
         filters={"user_id": user_id},
     )
-
-# Reranked search - good for critical applications
-def precise_search(query, user_id):
-    return client.search(
-        query=query,
-        rerank=True,
-        filters={"user_id": user_id},
-    )
 ```
 
 ```javascript JavaScript
@@ -133,21 +125,13 @@ function quickSearch(query, userId) {
     });
 }
 
-// Reranked search - good for most applications
+// Reranked search - good when result order matters
 function standardSearch(query, userId) {
     return client.search(query, {
         filters: { user_id: userId },
         rerank: true,
     });
 }
-
-// Reranked search - good for critical applications
-function preciseSearch(query, userId) {
-    return client.search(query, {
-        filters: { user_id: userId },
-        rerank: true,
-    });
-}
 ```
 </CodeGroup>
 

docs/platform/features/async-client.mdx

@@ -66,7 +66,7 @@ await client.search("What is Alice's favorite sport?", filters={"user_id": "alic
 ```
 
 ```javascript JavaScript
-await client.search("What is Alice's favorite sport?", { filters: { userId: "alice" } });
+await client.search("What is Alice's favorite sport?", { filters: { user_id: "alice" } });
 ```
 
 </CodeGroup>
@@ -124,7 +124,7 @@ await client.deleteAll({ userId: "alice" });
 </CodeGroup>
 
 <Note>
-  At least one filter (`user_id`, `agent_id`, `app_id`, or `run_id`) is required: calling `delete_all` with no filters raises an error to prevent accidental data loss. You can pass `"*"` as a value to delete all memories for a given entity type (e.g., `user_id="*"` removes memories for every user). A full project wipe requires all four filters set to `"*"`.
+  At least one filter (`user_id`, `agent_id`, `app_id`, or `run_id`) is required: calling `delete_all` with no filters raises an error to prevent accidental data loss. You can pass `"*"` as a value to delete all memories for a given entity type (e.g., `user_id="*"` removes memories for every user). A full project wipe requires all four filters set to `"*"`. When multiple entity filters are combined on a single `delete_all` call, only one is currently guaranteed to be honored; scope each call to a single entity id to be safe.
 </Note>
 
 ### History

docs/platform/features/custom-categories.mdx

@@ -75,6 +75,8 @@ print(response)
 ```
 </CodeGroup>
 
+This "Updated custom categories" message is specific to a PATCH-style partial update, which is what `client.project.update()` sends. Calling the raw API with a full PUT instead returns a generic `{"message": "Project updated successfully."}`, regardless of which fields changed.
+
 ### 2. Confirm the active catalog
 
 <CodeGroup>
@@ -86,16 +88,19 @@ print(categories)
 
 ```json Output
 {
+  "name": "default-project",
+  "description": null,
   "custom_categories": [
     {"lifestyle_management_concerns": "Tracks daily routines, habits, hobbies and interests including cooking, time management and work-life balance"},
     {"seeking_structure": "Documents goals around creating routines, schedules, and organized systems in various life areas"},
     {"personal_information": "Basic information about the user including name, preferences, and personality traits"}
-  ]
+  ],
+  "custom_instructions": null
 }
 ```
 </CodeGroup>
 
-`get` echoes back the shape you set. `update` also accepts a plain list of names, such as `["billing", "support"]`, in which case `get` returns that same list of names. Descriptions are optional here, and the classifier uses them to disambiguate when it has them.
+`project.get()` always returns the full project object, not just the fields you asked for. The `fields` parameter is accepted but has no filtering effect server-side, so read `custom_categories` off the full response. `update` also accepts a plain list of names, such as `["billing", "support"]`, in which case `custom_categories` comes back as that same list of names. Descriptions are optional here, and the classifier uses them to disambiguate when it has them.
 
 <Warning>
   `add` is stricter than `update`. Every entry in a per-call `custom_categories` list must be an object mapping a name to a description. Passing bare names to `add` fails with `400 Expected a dictionary of items but got type "str"`.
@@ -306,16 +311,19 @@ client.project.get(["custom_categories"])
 
 ```json Output
 {
-    "custom_categories": null
+    "name": "default-project",
+    "description": null,
+    "custom_categories": null,
+    "custom_instructions": null
 }
 ```
 </CodeGroup>
 
-A project that has never set a list returns `null`. One you have reset with `project.update(custom_categories=[])` returns `[]`. Both mean the default catalog is active.
+The response is always the full project object; `["custom_categories"]` does not filter it down. A project that has never set a list returns `custom_categories: null`. One you have reset with `project.update(custom_categories=[])` returns `[]`. Both mean the default catalog is active.
 
 ## Verify the feature is working
 
-- `client.project.get(["custom_categories"])` returns the category list you set.
+- `client.project.get(["custom_categories"])` returns the full project object; read the `custom_categories` key off it to see the list you set.
 - `client.get_all(filters={"user_id": ...})` shows populated `categories` lists on new memories.
 - The Mem0 dashboard (Project → Memories) displays the custom labels in the Category column.
 

docs/platform/features/custom-instructions.mdx

@@ -68,6 +68,8 @@ console.log(response.customInstructions);
 ```
 </CodeGroup>
 
+`project.get()` always returns the full project object. The `fields` parameter is accepted but has no filtering effect server-side, so `response["custom_instructions"]` above is a key on the full response, not a pre-filtered payload.
+
 ### Best Practice Template
 
 Structure your instructions using this proven template:
@@ -93,6 +95,100 @@ Exclude:
 - [Irrelevant information]
 ```
 
+## Agent Custom Instructions
+
+`custom_instructions` applies to every memory your project extracts, no matter whose it is. But what is worth remembering about an agent is rarely what is worth remembering about a user: an agent's useful memories are things like which tools fail, which retry strategies work, and how a given environment behaves, not personal preferences.
+
+`agent_custom_instructions` is an optional second set of extraction rules that applies only to agent-scoped memories.
+
+Available from Python SDK `v2.0.17` and TypeScript SDK `v3.1.5`. Upgrade first if you are on an earlier release.
+
+Set it on the project alongside `custom_instructions`:
+
+<CodeGroup>
+```python Python
+client.project.update(
+    custom_instructions="Extract the user's preferences, goals, and constraints.",
+    agent_custom_instructions=(
+        "Extract operational lessons for the agent:\n"
+        "- Tools that failed and the error returned\n"
+        "- Retry or fallback strategies that worked\n"
+        "- Environment quirks worth recalling on the next run\n\n"
+        "Exclude: user preferences, personal details."
+    ),
+)
+```
+
+```javascript JavaScript
+await client.updateProject({
+  customInstructions: "Extract the user's preferences, goals, and constraints.",
+  agentCustomInstructions: `Extract operational lessons for the agent:
+- Tools that failed and the error returned
+- Retry or fallback strategies that worked
+- Environment quirks worth recalling on the next run
+
+Exclude: user preferences, personal details.`,
+});
+```
+</CodeGroup>
+
+### Which instructions apply
+
+Which set governs an `add()` call depends on the entity IDs you pass with it:
+
+| The add call passes | Instructions applied |
+|---------------------|----------------------|
+| `user_id` only | `custom_instructions` |
+| `agent_id` only | `agent_custom_instructions` |
+| `user_id` **and** `agent_id` | `agent_custom_instructions` govern the memories attributed to the assistant; `custom_instructions` govern the rest |
+
+`agent_custom_instructions` is unset by default. While it is unset, `custom_instructions` applies to every memory, so projects that don't set it behave exactly as they did before.
+
+### Overriding for a single call
+
+Both fields are also accepted per request, overriding the project setting for that `add()` only:
+
+<CodeGroup>
+```python Python
+client.add(
+    messages,
+    filters={"agent_id": "support-agent"},
+    agent_custom_instructions="Only remember which tools errored and why.",
+)
+```
+
+```javascript JavaScript
+await client.add(messages, {
+  agentId: "support-agent",
+  agentCustomInstructions: "Only remember which tools errored and why.",
+});
+```
+</CodeGroup>
+
+### Reading and clearing
+
+<CodeGroup>
+```python Python
+# Read the current value
+response = client.project.get(fields=["agent_custom_instructions"])
+print(response["agent_custom_instructions"])
+
+# Clear it; agent memories fall back to custom_instructions
+client.project.update(agent_custom_instructions="")
+```
+
+```javascript JavaScript
+// Read the current value
+const response = await client.getProject({
+  fields: ["agentCustomInstructions"],
+});
+console.log(response.agentCustomInstructions);
+
+// Clear it; agent memories fall back to customInstructions
+await client.updateProject({ agentCustomInstructions: "" });
+```
+</CodeGroup>
+
 ## Real-World Examples
 
 <Tabs>

docs/platform/features/direct-import.mdx

@@ -22,17 +22,35 @@ messages = [
 client.add(messages, user_id="alice", infer=False)
 ```
 
-```markdown Output
-[]
+```json Output
+{
+  "message": "Memories stored successfully",
+  "status": "SUCCEEDED",
+  "event_id": "8c1f5e2b-3d47-4a9e-b6c1-5f2a7d3e9b04",
+  "results": [
+    {
+      "id": "19d6d7aa-2454-4e58-96fc-e74d9e9f8dd1",
+      "data": { "memory": "Alice loves playing badminton" },
+      "event": "ADD"
+    },
+    {
+      "id": "8557f05d-7b3c-47e5-b409-9886f9e314fc",
+      "data": { "memory": "Alice mostly cooks at home because of her gym plan" },
+      "event": "ADD"
+    }
+  ]
+}
 ```
 </CodeGroup>
 
-You can see that the output of the add call is an empty list.
-
-<Note>Only messages with the role "user" will be used for storage. Messages with roles such as "assistant" or "system" will be ignored during the storage process.</Note>
+<Note>
+Direct import stores `"user"` and `"assistant"` messages alike, regardless of which entity ids you pass. Only `"system"` messages are dropped. Each surviving message becomes one memory, with its content stored verbatim.
+</Note>
 
 <Warning>
-Direct import skips the inference pipeline, so it also skips duplicate detection. If you later send the same fact with `infer=True`, Mem0 will store a second copy. Pick one mode per memory source unless you truly want both versions.
+Direct import skips semantic duplicate detection: two different phrasings of the same fact will be stored as two separate memories. Exact repeats in the same scope are deduplicated by an exact hash of the text, so resending identical text is safe. Mixing `infer=False` and `infer=True` for the same fact can still produce two memories, since neither path checks the other for duplicates.
+
+Direct import also does not support multimodal content (`image_url`, `pdf_url`, `txt_url`, `mdx_url`). Those messages are skipped without raising an error, so they are missing from `results` rather than reported as a failure. Pass plain string content only when `infer=False`.
 </Warning>
 
 ## How to Retrieve Memories

docs/platform/features/dream.mdx

@@ -0,0 +1,164 @@
+---
+title: Dream
+description: "Dream keeps a user's memory clean over time by distilling recurring patterns, retiring outdated facts, and merging duplicates in the background."
+---
+
+# Dream
+
+As an application talks to the same user over weeks and months, their memory grows. Some of that growth is signal, meaning new facts worth keeping. A lot of it is noise: the same preference stated three different ways, an old fact that a newer one has quietly replaced, or a set of small observations that only mean something when you look at them together.
+
+**Dream** is the background layer that keeps a user's memory coherent as it grows. It continuously reviews each user's memories and does three things. It synthesizes higher-order patterns, supersedes outdated facts, and merges duplicates. The result is that what you read back stays sharp instead of drifting into a pile of overlapping, stale entries.
+
+<Info>
+  **Dream matters when…**
+  - Your users interact with your product over a long period and accumulate a lot of memories.
+  - You want retrieval to return the *current* truth about a user, not a mix of old and new contradictory facts.
+  - You want higher-level insights ("this user consistently prefers X") without writing your own summarization layer.
+</Info>
+
+## The three actions of Dream
+
+Dream is made of three independent actions. Two of them, Supersede and Merge, keep memory clean and run automatically for everyone. The third, Synthesis, produces new insight and is a toggle you turn on per project.
+
+| Action | What it does | When it runs | Availability |
+|---|---|---|---|
+| **Synthesis** | Distills a user's memories into higher-order **pattern memories** | On a schedule, in the background | Opt-in (Pro and above) |
+| **Supersede** | Marks an older fact as outdated when a newer one contradicts it | As memories are added | Always on, all plans |
+| **Merge** | Folds a duplicate into a single canonical memory | As memories are added | Always on, all plans |
+
+### Synthesis
+
+Over time a user's memories often *imply* something larger than any single entry. Ten separate notes about early-morning meetings, workout logs, and coffee orders together say "this user is an early riser." **Synthesis** finds those recurring threads and writes them back as new **pattern memories**: concise, higher-order facts that capture what the individual memories only hint at.
+
+- Pattern memories are added *alongside* your existing memories, never in place of them. The source memories stay exactly where they are.
+- Each pattern memory keeps a link back to the specific memories it was distilled from, so an insight is always traceable to its evidence.
+- Synthesis is additive and idempotent. Re-running it will not create duplicate patterns for the same underlying evidence.
+
+**Example.** These four memories accumulate for the same user over time:
+
+- *"User runs approximately 40 kilometers per week and is currently training for a marathon."*
+- *"User lifts weights at the gym three times a week, primarily focusing on legs and back."*
+- *"User tracks all workouts using a Garmin Forerunner watch."*
+- *"User's goal for 2026 is to run a sub-4-hour marathon."*
+
+Synthesis distills them into one pattern memory, kept alongside the originals:
+
+> *"User follows a structured fitness routine that includes weekly long runs (≈40 km), regular leg-and-back strength training, tracks workouts with a Garmin device, and pursues progressive marathon time goals."*
+
+Each source memory stays exactly where it was, and the new pattern links back to all of them as its evidence.
+
+<Note>
+  Synthesis only considers memories created **after** you enable it for a project. Turning it on sets a forward boundary, so historical memories aren't reprocessed in bulk on day one. Everything added from that point on is eligible.
+</Note>
+
+<Note>
+  Synthesis only looks at memories scoped to a **`user_id` alone**. Memories that also carry another entity (an `agent_id`, `run_id`, or `app_id`) are left out of a user's synthesis run. This keeps each run tied to a single user's own memories and avoids cross-referencing across agents, runs, or apps. So a memory has to be user-scoped, with no other entity attached, to be eligible for a pattern.
+</Note>
+
+### Supersede
+
+When a user tells you something that **contradicts** an earlier memory ("I moved to Berlin" after an earlier "I live in Lisbon"), Dream marks the older memory as **superseded** and links it to the newer fact that replaced it. Superseded memories are not deleted and not hidden by default. A normal `search` or `get` still returns them alongside your active memories, badged as superseded, so you keep the full history. When you want only the current truth, ask for it explicitly with `latest_only=true` (see [How reads change](#how-reads-change-with-dream) below). Supersede runs automatically as part of adding memories, on every plan.
+
+**Example.** The user has an existing memory *"User drives a 2019 Subaru Outback."* Later they mention selling it, producing a new memory *"User sold their 2019 Subaru Outback and bought a Tesla Model 3."* Dream marks the Subaru memory as superseded and links it to the newer one. A default `search` returns both: the Tesla memory as active, and the Subaru one labelled superseded. Passing `latest_only=true` returns only *"User sold their 2019 Subaru Outback and bought a Tesla Model 3."*
+
+### Merge
+
+When a new memory is effectively a **duplicate** of one you already have, Dream keeps a single canonical memory instead of two near-identical copies. When a duplicate is stored as its own memory, Dream marks it **merged** and links it to the canonical one. The merged record is hidden from reads by default (you get the one canonical memory), retained rather than deleted, and surfaced with `include_merged=true`. Merge runs automatically as memories are added, on every plan, and keeps your memory set compact without you deduplicating by hand.
+
+In practice, most exact or near-duplicate restatements of a fact you already have are recognised and deduplicated as the memory is added. No second copy is created, so you simply keep the one memory. A distinct `merged` record appears when a fuller version of an existing fact arrives and folds the barer one in.
+
+**Example.** The user has an existing memory *"User has a dog named Rex."* Later they mention *"My dog Rex is a 3-year-old golden retriever."* The richer statement is stored and Dream marks the barer *"User has a dog named Rex"* as **merged** into it. A default read returns the single canonical memory *"User's dog Rex is a 3-year-old golden retriever"*, and `include_merged=true` also returns the merged original.
+
+<Info>
+  **Nothing Dream does is destructive.** Superseded and merged memories are retained, never erased. Every change is recorded and reviewable, so you always know why a memory was retired or combined.
+</Info>
+
+## How reads change with Dream
+
+Dream doesn't change the shape of your `add`, `search`, or `get` calls, so you don't touch your application code. What it changes is *which* memories a read returns by default, and it gives you two flags to widen or narrow that set:
+
+| Read mode | Active | Superseded | Merged |
+|---|:---:|:---:|:---:|
+| **Default** (`search` / `get`) | ✓ | ✓ | ✗ |
+| **`latest_only=true`** | ✓ | — | — |
+| **`include_merged=true`** | ✓ | ✓ | ✓ |
+
+- **By default**, a read returns active plus superseded memories (superseded ones are still there, labelled as history) and hides merged duplicates. Synthesized pattern memories are returned alongside these too.
+- **`latest_only=true`** narrows the result to active memories only, meaning the current truth, with superseded and merged both excluded. Use this when you want the cleanest possible snapshot of the user right now.
+- **`include_merged=true`** returns everything, including the merged duplicates, when you need the complete picture.
+
+## Enabling Dream
+
+Supersede and Merge require no setup. They're always on for every project on every plan.
+
+Synthesis is opt-in per project:
+
+1. Open the **[Dream settings for your project](https://app.mem0.ai/dashboard/dream)** in the Mem0 dashboard.
+2. Toggle **Synthesis** on.
+
+Synthesis is a per-project setting, so you can enable it for one project and compare against another with it off. You can turn it off at any time. Doing so is fully reversible and leaves every existing memory (including already-synthesized patterns) untouched.
+
+From the [Dream page](https://app.mem0.ai/dashboard/dream) you can also review what Dream has done: recent synthesis runs, the patterns produced and their source memories, and the memories that were superseded or merged.
+
+## Plan availability
+
+| Capability | Free | Starter | Pro | Enterprise |
+|---|:---:|:---:|:---:|:---:|
+| **Supersede** (outdated facts flagged) | ✓ | ✓ | ✓ | ✓ |
+| **Merge** (duplicates folded, hidden by default) | ✓ | ✓ | ✓ | ✓ |
+| **Synthesis** (pattern memories written) | — | — | ✓ | ✓ |
+| **Dream dashboard** (runs, activity) | — | — | ✓ | ✓ |
+
+Synthesis requires a **Pro plan or higher**. Enterprise plans also get a faster, configurable schedule (see below).
+
+## How often Dream runs, and what delay to expect
+
+Different actions run on different clocks, so the delay you should expect depends on which action.
+
+### Supersede & Merge, as memories are added
+
+Supersede and Merge are part of the memory-addition pipeline. They're evaluated when a memory is added, so an outdated fact is superseded or a duplicate is merged as part of that add being processed, on the same timescale as the memory becoming searchable. There's no separate schedule to wait for.
+
+### Synthesis, on a schedule in the background
+
+Synthesis runs as a scheduled background job per user, not on every add. Two conditions gate it:
+
+- **Enough to work with:** a user must have at least **20** memories before Synthesis considers them. Below that threshold there isn't a meaningful pattern to distill yet.
+- **Cadence elapsed:** each user is re-synthesized at most once per cadence window.
+
+| Plan | Synthesis cadence (per user) |
+|---|---|
+| Pro | Every **7 days** |
+| Enterprise | **Daily** (and configurable) |
+
+Because Synthesis is processed in batches in the background, **expect new pattern memories to appear within roughly 24 hours of a scheduled run**, not instantly. In practice, the end-to-end delay from crossing a cadence window to seeing new patterns is up to about a day. This background design is deliberate: it keeps Synthesis from adding any latency to your live `add` and `search` calls.
+
+<Warning>
+  Synthesis is **not** real-time. If you enable it today, the first pattern memories for an eligible user will appear on the next scheduled run for that user (governed by the cadence above), and can take up to ~24 hours to complete once that run starts. Supersede and Merge, by contrast, keep pace with your adds.
+</Warning>
+
+## FAQ
+
+**Does Dream delete any of my memories?**
+No. Nothing Dream does is destructive. Superseded memories stay visible in default reads (labelled as history), merged duplicates are hidden by default but retained, and synthesized patterns are added alongside your existing memories, never in place of them. Every change is reviewable from the dashboard.
+
+**How do I get only the current facts, without the superseded ones?**
+Pass `latest_only=true` on your read. Superseded and merged memories are both excluded, leaving only active memories. By default (no flag) superseded memories are included so you keep the full history.
+
+**Do I need to change my code to use Dream?**
+No. Supersede and Merge are always on, and enabling Synthesis is a project setting. Your `add`, `search`, and `get` calls are unchanged. Dream shapes the memory set behind the same API.
+
+**Will Synthesis reprocess all my old memories when I turn it on?**
+No. Enabling Synthesis sets a forward boundary, so only memories created after you turn it on are eligible. This avoids a bulk reprocess of your entire history on day one.
+
+**Why don't I see pattern memories immediately after enabling Synthesis?**
+Synthesis runs on a schedule (every 7 days on Pro, daily on Enterprise) and only for users with at least 20 memories. Patterns appear on the next scheduled run for an eligible user and can take up to ~24 hours to complete once that run starts.
+
+**Which memories does Synthesis include?**
+Only memories scoped to a `user_id` on its own. If a memory also carries an `agent_id`, `run_id`, or `app_id`, it's excluded from that user's synthesis run. This keeps each run confined to a single user's memories and prevents any cross-referencing across agents, runs, or apps. Supersede and Merge are not affected by this and run across your memories as usual.
+
+**Are synthesized pattern memories traceable?**
+Yes. Every pattern memory links back to the specific source memories it was distilled from, so you can always see the evidence behind an insight from the Dream dashboard.
+
+**Can I turn Synthesis off?**
+Yes, at any time, per project. Turning it off is fully reversible and leaves all existing memories, including already-synthesized patterns, untouched.

docs/platform/features/entity-scoped-memory.mdx

@@ -36,11 +36,11 @@ Call `client.project.get()` to verify your connection. It should return your pro
 | User        | `user_id`  | Persistent persona or account                    | `"customer_6412"`   |
 | Agent       | `agent_id` | Distinct agent persona or tool                   | `"meal_planner"`    |
 | Application | `app_id`   | White-label app or product surface               | `"ios_retail_demo"` |
-| Session     | `run_id`   | Short-lived flow, ticket, or conversation thread | `"ticket-9241"`     |
+| Run         | `run_id`   | Short-lived flow, ticket, or session thread      | `"ticket-9241"`     |
 
-- **Writes** (`client.add`) accept any combination of these fields. Absent fields default to `null`.
-- **Reads** (`client.search`, `client.get_all`, exports, deletes) accept the same identifiers inside the `filters` JSON object.
-- **Implicit null scoping**: Passing only `{"user_id": "alice"}` automatically restricts results to records where `agent_id`, `app_id`, and `run_id` are `null`. Add wildcards (`"*"`), explicit lists, or additional filters when you need broader joins.
+- **Writes** (`client.add`) accept any combination of these fields. `app_id` and `run_id` are stored on every memory the call produces. `user_id` and `agent_id` behave differently on the default extraction path: each extracted fact is attributed to whoever stated it, so a record carries `user_id` or `agent_id`, not both. Absent fields default to `null`.
+- **Reads** (`client.search`, `client.get_all`, exports) accept the same identifiers inside the `filters` JSON object. Deletes (`client.delete_all`) scope via query parameters instead; the SDK builds these for you when you pass `user_id=...`, `run_id=...`, and so on.
+- **Unmentioned entities are not constrained**: Passing only `{"user_id": "alice"}` matches on `user_id` alone. It does not require `agent_id`, `app_id`, or `run_id` to be `null`, so records that also have those fields set are still returned.
 
 <Warning>
   **Common Pitfall**: If you create a memory with `user_id="alice"` but the other fields default to `null`, then search with `{"AND": [{"user_id": "alice"}, {"agent_id": "bot"}]}` will return nothing because you're looking for a memory where `agent_id="bot"`, not `null`.
@@ -78,10 +78,12 @@ client.add(
 The response will include one or more memory IDs. Check the dashboard → Memories to confirm the entry appears under the correct user, agent, app, and run.
 
 <Warning>
-Platform writes that include both `user_id` and `agent_id` (or other combinations) are persisted as separate records per entity so we can enforce privacy boundaries. Each record carries exactly one primary entity, which is why `{"AND": [{"user_id": ...}, {"agent_id": ...}]}` never returns results. Plan searches per entity scope or combine scopes with `OR`.
+Passing both `user_id` and `agent_id` to `client.add` does **not** produce records with both fields set. On the default extraction path, each extracted fact is attributed to the speaker who stated it: facts from `user` messages are stored with `user_id` set and `agent_id` null, facts from `assistant` messages with `agent_id` set and `user_id` null. `app_id` and `run_id` are carried on every record either way.
+
+As a result, `{"AND": [{"user_id": ...}, {"agent_id": ...}]}` returns nothing for memories created this way. Use `OR` to match either scope. Records with both fields populated only come from [Direct Import](/platform/features/direct-import) (`infer=False`), which writes your text verbatim without attribution splitting.
 </Warning>
 
-The HTTP equivalent uses `POST /v1/memories/` with the same identifiers in the JSON body. See the Add Memories API reference for REST details.
+The HTTP equivalent uses `POST /v3/memories/add/` with the same identifiers in the JSON body. See the [Add Memories](/api-reference/memory/add-memories) API reference for REST details.
 
 ## See it in action
 
@@ -130,7 +132,7 @@ print(agent_results)
 ```
 
 <Tip icon="compass">
-Writes can include multiple identifiers, but searches resolve one entity space at a time. Query user scope *or* agent scope in a given call: combining both returns an empty list today.
+A search that `AND`s `user_id` **and** `agent_id` only matches records that have both fields set, which the default extraction path never produces. Use `OR` when you want either scope to match on its own.
 </Tip>
 
 <Tip icon="sparkles">
@@ -141,11 +143,11 @@ Want to experiment with AND/OR logic, nested operators, or wildcards? The <Link
 ```python
 app_scope = {
     "AND": [
-        {"app_id": "concierge_portal"}
-    ],
-    "OR": [
-        {"user_id": "*"},
-        {"agent_id": "*"}
+        {"app_id": "concierge_portal"},
+        {"OR": [
+            {"user_id": "*"},
+            {"agent_id": "*"}
+        ]}
     ]
 }
 

docs/platform/features/feedback-mechanism.mdx

@@ -150,7 +150,7 @@ Handle potential errors when submitting feedback:
 
 ```python Python
 from mem0 import MemoryClient
-from mem0.exceptions import MemoryNotFoundError, NetworkError
+from mem0.exceptions import MemoryError, ValidationError
 
 client = MemoryClient(api_key="your_api_key")
 
@@ -161,12 +161,10 @@ try:
         feedback_reason="Helpful context for user query"
     )
     print("Feedback submitted successfully")
-except MemoryNotFoundError:
-    print("Memory not found")
-except NetworkError as e:
-    print(f"Network error: {e}")
-except Exception as e:
-    print(f"Unexpected error: {e}")
+except ValidationError:
+    print("memory_id is not a valid UUID")
+except MemoryError as e:
+    print(f"memory_id was not found or not accessible ({e.error_code})")
 ```
 
 ```javascript JavaScript
@@ -182,16 +180,23 @@ try {
     });
     console.log("Feedback submitted successfully");
 } catch (error) {
-    if (error.status === 404) {
-        console.log("Memory not found");
+    if (error.errorCode === "HTTP_400") {
+        console.log("memory_id is not a valid UUID");
+    } else if (error.errorCode === "HTTP_500") {
+        console.log("Server error - the memory_id may not exist or be inaccessible, or it may be transient; retry if it persists");
     } else {
-        console.log(`Error: ${error.message}`);
+        console.log(`Unexpected error: ${error.message}`);
     }
 }
 ```
 
 </CodeGroup>
 
+### Handling an unknown or malformed `memory_id`
+
+- A malformed `memory_id` (not a valid UUID) returns a clean `400` with `{"error": "Invalid memory_id"}`.
+- A well-formed but non-existent `memory_id` (or one that doesn't belong to your org or project) currently returns a `500 Internal Server Error` instead of a `404`. This is a server-side bug being tracked in [MEM-5745](https://linear.app/mem0/issue/MEM-5745). A `5xx` can also be a transient server error, so don't treat it as a definitive "not found"; to avoid the case entirely, only call `feedback` with a `memory_id` you just read from a `get_all` or `search` response.
+
 ## Feedback Analytics
 
 Track the impact of your feedback by monitoring memory performance over time. Consider implementing:

docs/platform/features/graph-memory.mdx

@@ -90,7 +90,7 @@ results = client.search(
 Earlier versions of Mem0 offered graph memory by connecting an **external graph database** (Neo4j, Memgraph, Kuzu, Apache AGE, or Neptune) through an `enable_graph` flag and a `graph_store` configuration block. That integration has been replaced by **native, built-in Graph Memory**:
 
 - **No external graph store.** The graph is built inside Mem0 from your memories. There is nothing to provision or connect.
-- **Always on, all plans.** The `enable_graph` flag is no longer needed; Graph Memory is automatic. (If you still send the parameter, it is ignored.)
+- **Always on, all plans.** The `enable_graph` flag is no longer needed: Graph Memory is automatic, and `relations` is always an empty list regardless of whether you send it. On non-paginated `get_all` (v1.1 format), sending `enable_graph=True` still adds an empty `"relations": []` key to the response for backward compatibility; it does not restore the old graph behavior.
 - **Connections power retrieval directly.** Entity connections are folded into the combined `score` on each result. The standalone `relations` field that the external graph store returned is no longer populated. If your application read that field, see the migration guide below.
 
 <Card title="Platform Migration Guide" icon="arrow-right" href="/migration/platform-v2-to-v3">

docs/platform/features/group-chat.mdx

@@ -1,45 +1,33 @@
 ---
 title: Group Chat
-description: 'Enable multi-participant conversations with automatic memory attribution to individual speakers'
+description: 'Enable multi-participant conversations and scope each speaker with user_id or agent_id'
 ---
 
 ## Overview
 
-The Group Chat feature enables Mem0 to process conversations involving multiple participants and automatically attribute memories to individual speakers. This allows for precise tracking of each participant's preferences, characteristics, and contributions in collaborative discussions, team meetings, or multi-agent conversations.
+The Group Chat feature helps you use Mem0 with conversations involving multiple participants, such as team meetings or multi-agent conversations. You control which speaker a memory belongs to by scoping each `add()` call with `user_id`, `agent_id`, and `run_id`; Mem0 does not infer that scope automatically from the conversation.
 
-When you provide messages with participant names, Mem0 automatically:
-- Extracts memories from each participant's messages separately
-- Attributes each memory to the correct speaker using their name as the `user_id` or `agent_id`
-- Maintains individual memory profiles for each participant
+When you scope conversations correctly, Mem0:
+- Extracts memories from each participant's messages
+- Keeps each participant's memories in a separate profile, addressed by the `user_id` or `agent_id` you assigned them
+- Lets you retrieve any participant's memories independently using filters
 
 ## How Group Chat Works
 
-Mem0 automatically detects group chat scenarios when messages contain a `name` field:
+Mem0 does not automatically split a multi-participant conversation into separate memories per speaker. A `name` field on a message is stored as context for extraction, but it does not change which `user_id` or `agent_id` the resulting memories are scoped to: that scope is always whatever `user_id`, `agent_id`, or `run_id` you pass to `add()`.
 
-```json
-{
-  "role": "user",
-  "name": "Alice",
-  "content": "Hey team, I think we should use React for the frontend"
-}
-```
-
-When names are present, Mem0:
-- Formats messages as `"Alice (user): content"` for processing
-- Extracts memories with proper attribution to each speaker
-- Stores memories with the speaker's name as the `user_id` (for users) or `agent_id` (for assistants/agents)
+To keep separate memory profiles per participant, scope each participant's messages explicitly: call `add()` once per participant with their own `user_id`, or use `run_id` to group the conversation and filter by participant in your own message metadata.
 
 ### Memory Attribution Rules
 
-- **User Messages**: The `name` field becomes the `user_id` in stored memories
-- **Assistant/Agent Messages**: The `name` field becomes the `agent_id` in stored memories
-- **Messages without names**: Fall back to standard processing using role as identifier
+- Memories are always scoped to the `user_id`, `agent_id`, and `run_id` you pass to `add()`, not to the `name` field on individual messages.
+- If you need per-participant memories, call `add()` separately for each participant's messages with that participant's `user_id`.
 
 ## Using Group Chat
 
 ### Basic Group Chat
 
-Add memories from a multi-participant conversation:
+Scope each participant's messages with their own `user_id` and a shared `run_id` for the session. Call `add()` once per participant:
 
 <CodeGroup>
 
@@ -48,46 +36,60 @@ from mem0 import MemoryClient
 
 client = MemoryClient(api_key="your-api-key")
 
-# Group chat with multiple users
-messages = [
-    {"role": "user", "name": "Alice", "content": "Hey team, I think we should use React for the frontend"},
-    {"role": "user", "name": "Bob", "content": "I disagree, Vue.js would be better for our use case"},
-    {"role": "user", "name": "Charlie", "content": "What about considering Angular? It has great enterprise support"},
-    {"role": "assistant", "content": "All three frameworks have their merits. Let me summarize the pros and cons of each."}
-]
-
+# Each participant gets their own user_id; run_id ties them to one session
+client.add(
+    [{"role": "user", "content": "Hey team, I think we should use React for the frontend"}],
+    user_id="alice", run_id="group_chat_1",
+)
+client.add(
+    [{"role": "user", "content": "I'd prefer Vue.js for our use case"}],
+    user_id="bob", run_id="group_chat_1",
+)
 response = client.add(
-    messages,
-    run_id="group_chat_1",
-    infer=True
+    [{"role": "user", "content": "Consider Angular, it has great enterprise support"}],
+    user_id="charlie", run_id="group_chat_1",
 )
 print(response)
 ```
 
 ```json Output
 {
-  "results": [
-    {
-      "id": "4d82478a-8d50-47e6-9324-1f65efff5829",
-      "event": "ADD",
-      "memory": "prefers using React for the frontend"
-    },
-    {
-      "id": "1d8b8f39-7b17-4d18-8632-ab1c64fa35b9",
-      "event": "ADD",
-      "memory": "prefers Vue.js for our use case"
-    },
-    {
-      "id": "147559a8-c5f7-44d0-9418-91f53f7a89a4",
-      "event": "ADD",
-      "memory": "suggests considering Angular because it has great enterprise support"
-    }
-  ]
+  "event_id": "4d82478a-8d50-47e6-9324-1f65efff5829",
+  "status": "PENDING"
 }
 ```
 
 </CodeGroup>
 
+`add()` is asynchronous: it queues extraction and returns immediately. Poll `get_all` (see below) once processing completes to see the extracted memories. Each participant's memory is scoped to the `user_id` you passed, so filtering by `run_id` returns all three, and filtering by a single `user_id` returns just that participant.
+
+### The `name` field does not change scope
+
+The `name` field is stored as extraction context only. Attribution follows the `user_id`/`agent_id`/`run_id` you pass to `add()`, never the `name`. Passing two different names in one `add()` call does **not** split the memories across two profiles:
+
+<CodeGroup>
+
+```python Python
+# BOTH messages are scoped to user_id="team_session", NOT to "alice"/"bob"
+client.add(
+    [
+        {"role": "user", "name": "Alice", "content": "I strongly prefer React"},
+        {"role": "user", "name": "Bob", "content": "I strongly prefer Vue"},
+    ],
+    user_id="team_session", run_id="group_chat_2",
+)
+
+# Every extracted memory lands under user_id="team_session"
+client.get_all(filters={"AND": [{"user_id": "team_session"}]})
+
+# Nothing is stored under user_id="alice" or user_id="bob"
+client.get_all(filters={"AND": [{"user_id": "alice"}]})  # -> no results from this call
+```
+
+</CodeGroup>
+
+To keep Alice's and Bob's memories in separate profiles, call `add()` once per participant with their own `user_id`, as shown in [Basic Group Chat](#basic-group-chat) above.
+
 ## Retrieving Group Chat Memories
 
 ### Get All Memories for a Session
@@ -224,33 +226,15 @@ print(search_response)
 
 </CodeGroup>
 
-## Async Mode Support
-
-Group chat supports async processing for improved performance. Memory additions are processed asynchronously by default.
-
-<CodeGroup>
-
-```python Python
-# Group chat: async processing is the default
-response = client.add(
-    messages,
-    run_id="groupchat_async",
-    infer=True,
-)
-print(response)
-```
-
-</CodeGroup>
-
 ## Message Format Requirements
 
 ### Required Fields
 
-Each message in a group chat must include:
+Each message must include:
 
 - `role`: The participant's role (`"user"`, `"assistant"`, `"agent"`)
 - `content`: The message content
-- `name`: The participant's name (required for group chat detection)
+- `name` (optional): The participant's name, stored as context for extraction. It does not change which `user_id` or `agent_id` a memory is scoped to.
 
 ### Example Message Structure
 
@@ -261,14 +245,14 @@ Each message in a group chat must include:
   "content": "I think we should use React for the frontend"
 }
 ```
-### Supported Roles
+### Roles
 
-- **`user`**: Human participants (memories stored with `user_id`)
-- **`assistant`**: AI assistants (memories stored with `agent_id`)
+- **`user`**: Human participants
+- **`assistant`**: AI assistants
 
 ## Best Practices
 
-1. **Consistent Naming**: Use consistent names for participants across sessions to maintain proper memory attribution.
+1. **Consistent Scoping**: Use a consistent `user_id` (or `agent_id`) per participant across sessions so their memories stay in one profile.
 
 2. **Clear Role Assignment**: Ensure each participant has the correct role (`user`, `assistant`, or `agent`) for proper memory categorization.
 

docs/platform/features/memory-decay.mdx

@@ -43,7 +43,7 @@ At search time the pipeline:
 5. Truncates to the `top_k` you requested.
 6. Records a fire-and-forget reinforcement against each returned memory: its access history grows by one, capped at the most recent 20 touches.
 
-Memories created before decay was enabled don't yet have an access history. They use a sensible fallback: their `updated_at` is treated as a single past touch, so the same scale above applies based on how stale that update is: a recently-updated legacy memory enters near the neutral band, a long-stale one sits closer to the floor. Once surfaced in a search after decay is on, they accumulate access history naturally and behave like any other memory.
+Memories created before decay was enabled don't yet have an access history. They use a sensible fallback: a memory's `event_date` (if it has one) is treated as its single past touch; only when `event_date` is absent does `updated_at` stand in instead. A future `event_date` gets a fresh/full activation, a past one decays from when the event happened. Once surfaced in a search after decay is on, they accumulate access history naturally and behave like any other memory.
 
 ## Configure access
 
@@ -81,26 +81,26 @@ curl -X PATCH https://api.mem0.ai/api/v1/orgs/organizations/$ORG_ID/projects/$PR
 
 ### 2. Confirm the state
 
-`decay` is returned on every project read. To fetch only this field, use `?fields=decay`.
+`decay` is returned on every project read; there is currently no way to narrow the response to just this field, so read the full project object and pick out `decay`.
 
 <CodeGroup>
 ```python Python
-response = client.project.get(fields=["decay"])
+response = client.project.get()
 print(response["decay"])
 ```
 
 ```javascript JavaScript
-const response = await client.project.get({ fields: ["decay"] });
+const response = await client.project.get();
 console.log(response.decay);
 ```
 
 ```bash cURL
-curl "https://api.mem0.ai/api/v1/orgs/organizations/$ORG_ID/projects/$PROJECT_ID/?fields=decay" \
+curl "https://api.mem0.ai/api/v1/orgs/organizations/$ORG_ID/projects/$PROJECT_ID/" \
   -H "Authorization: Token $MEM0_API_KEY"
 ```
 
 ```json Response
-{ "decay": true }
+{ "decay": true, "...": "full project object" }
 ```
 </CodeGroup>
 
@@ -154,7 +154,7 @@ curl -X PATCH https://api.mem0.ai/api/v1/orgs/organizations/$ORG_ID/projects/$PR
 | Reinforced on a recent search | 1.2 – 1.5× | Sustains its boost for the next several searches. |
 | Idle for a few days | 0.6 – 1.0× | Falls back into the neutral band. |
 | Idle for weeks | 0.4 – 0.6× | Mild dampening: can still surface for strong matches. |
-| Pre-decay legacy memory (no access history) | 0.3 – 1.0× | Falls back to `updated_at`: recently-updated entries land near 1.0×, long-stale entries approach the 0.3× floor. |
+| Pre-decay legacy memory (no access history) | 0.3 – 1.0× | Falls back to `event_date` if set (future dates land near 1.0×, past dates decay from the event); falls back further to `updated_at` only when `event_date` is absent. |
 
 The reinforcement is bounded: each memory tracks at most the last 20 access timestamps, so the boost stays well-behaved no matter how many times a memory is retrieved.
 
@@ -170,7 +170,7 @@ The threshold is applied to the candidate pool pre-decay; the scaling factor the
 No. The `client.add(...)` path is unchanged. Decay is a search-time ranking adjustment.
 
 **What if I had memories before turning decay on?**
-They use a fallback: the memory's `updated_at` is treated as a single historical touch, so the same scaling applies based on how stale that update is: a recently-updated legacy memory enters near the neutral band (~1.0×), a long-stale one closer to the floor (~0.3×). Once retrieved they accumulate access history and behave like any other memory.
+They use a fallback: a memory's `event_date`, if it has one, is treated as its single historical touch; `updated_at` only stands in when `event_date` is absent. A memory with a future `event_date` enters near the neutral band (~1.0×); one with a past `event_date` decays from when the event happened, closer to the floor (~0.3×) the further back it is. Once retrieved they accumulate access history and behave like any other memory.
 
 **Can I tune how aggressively decay scales scores?**
 Not in this version. The current scaling is calibrated to be conservative: wide enough to meaningfully reorder candidates, narrow enough to never dominate the underlying relevance score. Per-project tuning is on the roadmap.

docs/platform/features/memory-export.mdx

@@ -141,7 +141,7 @@ console.log(responseWithInstructions);
 ```
 
 ```bash cURL
-curl -X POST "https://api.mem0.ai/v1/memories/export/" \
+curl -X POST "https://api.mem0.ai/v1/exports/" \
      -H "Authorization: Token your-api-key" \
      -H "Content-Type: application/json" \
      -d '{
@@ -185,6 +185,13 @@ const response = await client.getMemoryExport({
 console.log(response);
 ```
 
+```bash cURL
+curl -X POST "https://api.mem0.ai/v1/exports/get/" \
+     -H "Authorization: Token your-api-key" \
+     -H "Content-Type: application/json" \
+     -d '{"memory_export_id": "550e8400-e29b-41d4-a716-446655440000"}'
+```
+
 ```json Output
 {
     "full_name": "John Doe",
@@ -231,6 +238,20 @@ const response = await client.getMemoryExport({
 console.log(response);
 ```
 
+```bash cURL
+curl -X POST "https://api.mem0.ai/v1/exports/get/" \
+     -H "Authorization: Token your-api-key" \
+     -H "Content-Type: application/json" \
+     -d '{
+         "filters": {
+             "AND": [
+                 {"created_at": {"gte": "2024-07-10", "lte": "2024-07-20"}},
+                 {"user_id": "alex"}
+             ]
+         }
+     }'
+```
+
 ```json Output
 {
     "full_name": "John Doe",

docs/platform/features/multimodal-support.mdx

@@ -9,6 +9,10 @@ Mem0 extends its capabilities beyond text by supporting multimodal data, includi
 
 When a user submits an image or document, Mem0 processes it to extract textual information and other pertinent details. These details are then added to the user's memory, enhancing the system's ability to understand and recall multimodal inputs.
 
+<Warning>
+Multimodal content (`image_url`, `pdf_url`, `txt_url`, `mdx_url`) requires the default `infer=True`. Do not combine structured multimodal `content` with `infer=False` (Direct Import): the Direct Import path expects plain-text `content` and rejects structured multimodal messages with a `400`.
+</Warning>
+
 <CodeGroup>
 ```python Python
 import os
@@ -172,20 +176,18 @@ await client.add([imageMessage], { userId: "alice" })
 
 ### 2. Text Documents (MDX/TXT)
 
-Mem0 supports both online and local text documents in MDX or TXT format.
+Mem0 supports both online and local text documents in MDX or TXT format. Use `"type": "mdx_url"` for Markdown/MDX content and `"type": "txt_url"` for plain text; both accept the same shape (`{"url": ...}`, either an HTTP(S) URL or a base64-encoded string).
 
 #### Using a Document URL
 
 ```python
-# Define the document URL
 document_url = "https://www.w3.org/TR/2003/REC-PNG-20031110/iso_8859-1.txt"
 
-# Create the message dictionary with the document URL
 document_message = {
     "role": "user",
     "content": {
-        "type": "mdx_url",
-        "mdx_url": {
+        "type": "txt_url",
+        "txt_url": {
             "url": document_url
         }
     }

docs/platform/features/temporal-reasoning.mdx

@@ -1,143 +1,80 @@
 ---
 title: Temporal Reasoning
-description: "Time-aware memory retrieval for Mem0 Platform v3 so queries like 'last week', 'upcoming', and 'right now' return the right memories."
+description: "Boost memories whose dates match the time in a search."
 badge: "v3"
 ---
 
-Some memories matter because of **when** they happened, not just because they sound similar. Temporal Reasoning lets Mem0 Platform v3 understand time-aware queries and return the most contextually appropriate results.
+Temporal Reasoning gives a ranking boost to memories whose event dates match the time in a search. Event dates are when something described in a memory happened or will happen. It runs automatically on Mem0 Platform v3.
 
-<Info>
-  **Use Temporal Reasoning when…**
-  - Users ask questions like "what happened last week?" or "what do I have coming up?"
-  - Your app stores both past events and future plans for the same person
-  - You want time-aware retrieval without building your own date-parsing layer
-</Info>
+It is not available in the OSS SDK.
 
-<Warning>
-  Temporal Reasoning is a **Mem0 Platform v3** feature. It is not available on OSS memory stores or older Platform endpoints.
-</Warning>
+Dates from new memories usually affect search within a few seconds.
 
-## Configure access
+## Time-aware searches
 
-Confirm your `MEM0_API_KEY` is set and that you are using the v3 Platform client:
+Queries can include expressions such as `yesterday`, `last week`, `tomorrow`, `currently`, and `as of March 2025`. Mem0 compares them with dates and date ranges found in stored memories.
 
-```python
-from mem0 import MemoryClient
+## Example
 
-client = MemoryClient(api_key="your-api-key")
-```
+Suppose a user has these memories:
 
-## How it works
+- "Yesterday I met Maya at the Orion conference in Paris."
+- "Last week I met Maya at the Orion conference in Tokyo."
+- "Last year I met Maya at the Orion conference in Lisbon."
 
-When a memory describes an event, a future plan, or an ongoing state, Temporal Reasoning recognizes the time context so the right results surface at search time.
-
-A query like `what did I do last week?` should return a completed past event: not an upcoming appointment and not a stable fact that hasn't changed. Temporal Reasoning handles that distinction automatically.
-
-### Memory types Temporal Reasoning handles
-
-| Type | What it represents | Example |
-| --- | --- | --- |
-| Dated occurrence | Something that happened at a known time | "I finished the Q1 review on March 10, 2025." |
-| Future plan | A future commitment or scheduled item | "I have a dentist appointment on March 18, 2025." |
-| Ongoing state | A fact that remains true over time | "I am the product lead at Acme Corp." |
-| Relationship | A durable connection between people or entities | "Priya manages Jordan." |
-| Preference | A stable preference or habit | "I prefer morning meetings." |
-
-Results come back in the normal search response shape: Temporal Reasoning affects ranking, not the response format.
-
-## Configure it
-
-Temporal Reasoning is enabled by default for all v3 searches and writes. There is no per-request toggle.
-
-Two parameters give you precise control when you need it:
-
-- `timestamp` on `add()`: anchors an imported memory to the time it actually happened, rather than the time it was added to Mem0
-- `reference_date` on `search()`: resolves relative phrases like `last week` against a fixed point in time
+Searching for `Which city did I meet Maya in at the Orion conference last week?` gives the Tokyo memory a temporal boost and ranks it first.
 
 <CodeGroup>
 ```python Python
-from datetime import datetime, timezone
-from mem0 import MemoryClient
-
-client = MemoryClient(api_key="your-api-key")
-
-# Import a historical memory anchored to when it happened
-client.add(
-    [{"role": "user", "content": "I finished the Q1 review on March 10, 2025."}],
-    user_id="jordan",
-    timestamp=int(datetime(2025, 3, 10, tzinfo=timezone.utc).timestamp()),
-)
-
-# Search with a relative query anchored to a known date
 results = client.search(
-    "what did I do last week?",
-    filters={"user_id": "jordan"},
+    "Which city did I meet Maya in at the Orion conference last week?",
+    filters={"user_id": "maya-demo"},
+)
+```
+
+```javascript JavaScript
+const results = await client.search(
+  "Which city did I meet Maya in at the Orion conference last week?",
+  { filters: { user_id: "maya-demo" } }
+);
+```
+</CodeGroup>
+
+Search returns the usual memory results, reordered using the temporal boost.
+
+## Search from a specific time
+
+Use `reference_date` to simulate searching at a specific date and time. Mem0 treats it as the current time for that search.
+
+<CodeGroup>
+```python Python
+results = client.search(
+    "What happened last week?",
+    filters={"user_id": "user-123"},
     reference_date="2025-03-21T00:00:00Z",
 )
 ```
 
 ```javascript JavaScript
-import { MemoryClient } from "mem0ai";
-
-const client = new MemoryClient({ apiKey: "your-api-key" });
-
-// Import a historical memory anchored to when it happened
-await client.add(
-  [{ role: "user", content: "I finished the Q1 review on March 10, 2025." }],
-  {
-    userId: "jordan",
-    timestamp: Math.floor(new Date("2025-03-10T00:00:00Z").getTime() / 1000),
-  }
-);
-
-// Search with a relative query anchored to a known date
-const results = await client.search("what did I do last week?", {
-  filters: { user_id: "jordan" },
+const results = await client.search("What happened last week?", {
+  filters: { user_id: "user-123" },
   referenceDate: "2025-03-21T00:00:00Z",
 });
 ```
 </CodeGroup>
 
-<Tip>
-  `reference_date` is especially useful in automated tests and demos because it makes relative phrases like `last week` resolve consistently every time.
-</Tip>
+## Parameters
 
-## Supported query patterns
+| Action | Python | TypeScript | Purpose |
+| --- | --- | --- | --- |
+| Add memories | `timestamp` | `timestamp` | Preserve the original time of an imported conversation. |
+| Search memories | `reference_date` | `referenceDate` | Simulate searching at a specific date and time. |
 
-<AccordionGroup>
-  <Accordion title="Historical questions">
-    Examples: `last week`, `last month`, `in March 2025`, `on 2025-03-10`
-  </Accordion>
-  <Accordion title="Upcoming questions">
-    Examples: `upcoming`, `next week`, `tomorrow`, `what do I have coming up?`
-  </Accordion>
-  <Accordion title="Current-state questions">
-    Examples: `right now`, `currently`, `where do I work now?`
-  </Accordion>
-  <Accordion title="As-of questions">
-    Examples: `as of March 2025`, `where was I living as of 2024?`
-  </Accordion>
-  <Accordion title="Duration questions">
-    Examples: `how long have I lived here?`, `since when have I worked there?`
-  </Accordion>
-</AccordionGroup>
-
-## Verify the feature is working
-
-- Run a temporal search with a time-aware query (e.g., "what did I do last week?") and confirm the memory that fits the time window ranks first.
-- Use `reference_date` in test queries so relative phrases resolve consistently across runs.
-- For backfilled data, pass `timestamp` on `add()` to confirm the memory reflects the right point in time.
-
-## Best practices
-
-- Use explicit dates in source conversations when events or plans matter temporally.
-- Pass `timestamp` during historical imports so the ingestion time does not become the only time anchor.
-- Scope searches with `filters` so time-aware ranking operates inside the right user boundary.
-- Use `reference_date` in automated tests and reproducible demos.
+For all search inputs and returned fields, see the [Search Memories API reference](/api-reference/memory/search-memories).
 
 <CardGroup cols={1}>
   <Card title="Memory Timestamps" icon="calendar" href="/platform/features/timestamp">
-    Anchor imported memories to when they actually happened.
+    Preserve the original time of imported memories.
   </Card>
 </CardGroup>
 

docs/platform/features/v2-memory-filters.mdx

@@ -49,9 +49,9 @@ Filters use a nested JSON structure with logical operators at the root:
 ### Content fields
 | Field | Operators | Example |
 |-------|-----------|---------|
-| `categories` | `eq`, `ne`, `in`, `contains` | `{"categories": {"in": ["finance"]}}` |
+| `categories` | `eq`, `ne`, `in` (matches any category in the list), `contains` (case-insensitive) | `{"categories": {"in": ["finance"]}}` |
 | `metadata` | `eq`, `ne`, `contains` | `{"metadata": {"key": "value"}}` |
-| `keywords` | `contains`, `icontains` | `{"keywords": {"icontains": "invoice"}}` |
+| `keywords` | `contains` (case-sensitive), `icontains` (case-insensitive) | `{"keywords": {"icontains": "invoice"}}` |
 
 ### Special fields
 | Field | Operators | Example |
@@ -120,24 +120,23 @@ filters = {
 Find memories containing specific text, categories, or metadata values.
 
 <AccordionGroup>
-  <Accordion title="Text search">
+  <Accordion title="Text search (keywords)">
     ```python
-    # Case-insensitive match
+    # Substring match on memory text via get_all
     filters = {
         "AND": [
             {"user_id": "user_123"},
-            {"keywords": {"icontains": "pizza"}}
-        ]
-    }
-
-    # Case-sensitive match
-    filters = {
-        "AND": [
-            {"user_id": "user_123"},
-            {"keywords": {"contains": "Invoice_2024"}}
+            {"keywords": {"icontains": "invoice"}}
         ]
     }
+    memories = client.get_all(filters=filters)
     ```
+
+    Use `contains` for case-sensitive matching and `icontains` for case-insensitive.
+
+    <Callout type="warning" icon="exclamation-triangle" color="#E74C3C">
+    A `keywords` filter works on `get_all`, but passing it to `search()` currently returns a `500` ([MEM-5746](https://linear.app/mem0/issue/MEM-5746)). For text relevance during a search, pass the text to the `query` argument instead of filtering on `keywords`.
+    </Callout>
   </Accordion>
 
   <Accordion title="Categories">
@@ -254,10 +253,8 @@ Combine various filters for complex queries across different dimensions.
     ```
   </Accordion>
 
-  <Accordion title="All entities populated (single entity scope)">
+  <Accordion title="All entities populated">
     ```python
-    # Require user_id plus non-null run/app IDs
-    # (Memories are stored separately per entity, so scope one dimension at a time.)
     filters = {
         "AND": [
             {"user_id": "user_123"},
@@ -266,6 +263,7 @@ Combine various filters for complex queries across different dimensions.
         ]
     }
     ```
+    Matches records where `user_id` equals `user_123` and `run_id`/`app_id` are both non-null. It does not require other entity fields to be null.
   </Accordion>
 </AccordionGroup>
 
@@ -276,16 +274,16 @@ Level up foundational patterns with compound filters that coordinate entity scop
 <AccordionGroup>
   <Accordion title="Multi-dimensional filtering">
     ```python
-    # Invoice memories in Q1 2024
     filters = {
         "AND": [
             {"user_id": "user_123"},
-            {"keywords": {"icontains": "invoice"}},
             {"categories": {"in": ["finance"]}},
+            {"keywords": {"icontains": "invoice"}},
             {"created_at": {"gte": "2024-01-01T00:00:00Z"}},
             {"created_at": {"lt": "2024-04-01T00:00:00Z"}}
         ]
     }
+    memories = client.get_all(filters=filters)
     ```
   </Accordion>
 
@@ -330,7 +328,7 @@ Level up foundational patterns with compound filters that coordinate entity scop
 ## Best practices
 
 <Callout type="tip" icon="lightbulb" color="#26A17B">
-The root must be `AND`, `OR`, or `NOT` with an array of conditions.
+The root does not have to be `AND`, `OR`, or `NOT`. A bare filter like `{"user_id": "alice"}` works on its own; wrap conditions in a logical operator only when you need to combine more than one.
 </Callout>
 
 <Callout type="tip" icon="lightbulb" color="#26A17B">
@@ -338,7 +336,9 @@ Use `"*"` to match any non-null value for a field.
 </Callout>
 
 <Callout type="warning" icon="exclamation-triangle" color="#E74C3C">
-Memories are stored per-entity (user, agent, app, run). Combining `user_id` **and** `agent_id` in the same `AND` clause returns no results because no record contains both values at once. Query one entity scope at a time or use `OR` logic for parallel lookups.
+Combining `user_id` **and** `agent_id` in the same `AND` clause only returns records that have both values set. Memories created by a normal `client.add` never do: each extracted fact is attributed to its speaker, so it carries `user_id` or `agent_id`, not both. Use `OR` to match either scope. Only [Direct Import](/platform/features/direct-import) (`infer=False`) writes both fields on one record.
+
+A filter object with both an `AND` key and a sibling `OR` key at the same level silently drops the `OR` branch today. Nest the `OR` inside the `AND` array instead of placing them as siblings.
 </Callout>
 
 ## Troubleshooting
@@ -347,7 +347,7 @@ Memories are stored per-entity (user, agent, app, run). Combining `user_id` **an
   <Accordion title="Missing results with agent_id">
     **Problem**: Filtered by `user_id` but don't see agent memories.
 
-    **Solution**: User and agent memories are stored as separate records. Use OR to query both scopes:
+    **Solution**: A `user_id` filter only matches records that have that `user_id` set; it won't surface memories written with only `agent_id`. Use OR to query both scopes:
     ```python
     {"OR": [{"user_id": "user_123"}, {"agent_id": "agent_name"}]}
     ```
@@ -362,8 +362,12 @@ Memories are stored per-entity (user, agent, app, run). Combining `user_id` **an
     ```
   </Accordion>
 
-  <Accordion title="Case-insensitive search">
-    **Solution**: Swap to `icontains` to normalize casing.
+  <Accordion title="Case-insensitive text match">
+    **Solution**: Use `keywords` with `icontains` on `get_all`:
+    ```python
+    {"AND": [{"user_id": "user_123"}, {"keywords": {"icontains": "invoice"}}]}
+    ```
+    This works on `get_all`. It is not supported on `search()` yet (returns a `500`, [MEM-5746](https://linear.app/mem0/issue/MEM-5746)) - for search, pass the text to the `query` argument instead.
   </Accordion>
 
   <Accordion title="Date range between two dates">
@@ -388,7 +392,7 @@ Memories are stored per-entity (user, agent, app, run). Combining `user_id` **an
 
 <AccordionGroup>
   <Accordion title="Do I need AND/OR/NOT?">
-    Yes. The root must be a logical operator with an array.
+    No. A bare filter like `{"user_id": "u1"}` works on its own. Add `AND`, `OR`, or `NOT` only when you need to combine more than one condition.
   </Accordion>
 
   <Accordion title="What does * match?">
@@ -408,7 +412,7 @@ Memories are stored per-entity (user, agent, app, run). Combining `user_id` **an
   </Accordion>
 
   <Accordion title="How to search text?">
-    Use `keywords` with `contains` (case-sensitive) or `icontains` (case-insensitive).
+    For a substring match, use the `keywords` filter with `contains`/`icontains` on `get_all`. For relevance-ranked search, pass the text to the `query` argument on `search()`. Note: `keywords` is not supported inside `search()` filters yet (returns a `500`, [MEM-5746](https://linear.app/mem0/issue/MEM-5746)).
   </Accordion>
 
 <Accordion title="Can I nest AND/OR?">
@@ -428,6 +432,6 @@ Memories are stored per-entity (user, agent, app, run). Combining `user_id` **an
 
 ## Known limitations
 
-- Entity filters operate on a single scope per record. Use separate queries or `OR` logic to compare users vs agents.
+- Filters only constrain the fields you mention; unmentioned entity fields are not required to be null. A record carries `user_id` or `agent_id` (never both) unless it came from Direct Import, plus whatever `app_id` and `run_id` were passed.
 - Metadata supports only bare/`eq`, `contains`, and `ne` comparisons.
 - Wildcards (`"*"` ) match only records where the field is already non-null.

docs/platform/features/webhooks.mdx

@@ -51,6 +51,7 @@ console.log(webhook);
   "webhook_id": "wh_123",
   "name": "Memory Logger",
   "url": "https://your-app.com/webhook",
+  "owner": "john",
   "event_types": ["memory_add"],
   "project": "default-project",
   "is_active": true,
@@ -63,7 +64,7 @@ console.log(webhook);
 
 ### Get Webhooks
 
-Retrieve all webhooks for your project:
+Retrieve all webhooks for your project. Each webhook includes an `owner` field: the username of the account that created it. This is set automatically and cannot be changed via the API.
 
 <CodeGroup>
 
@@ -168,6 +169,10 @@ Mem0 supports the following event types for webhooks:
 - `memory_update`: Triggered when an existing memory is updated.
 - `memory_delete`: Triggered when a memory is deleted.
 - `memory_categorize`: Triggered when a memory is categorized.
+- `ingest_job_completed`: Triggered when an ingest job finishes successfully.
+- `ingest_job_partially_completed`: Triggered when an ingest job finishes with some items failed.
+- `ingest_job_failed`: Triggered when an ingest job fails entirely.
+- `ingest_job_cancelled`: Triggered when an ingest job is cancelled.
 
 ## Webhook Payload
 

docs/platform/mem0-mcp.mdx

@@ -8,18 +8,20 @@ estimatedTime: "~2 minutes"
 <Info>
   **Prerequisites**
   - Mem0 Platform account (<a href="https://app.mem0.ai?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Sign up here</a>)
-  - API key (<a href="https://app.mem0.ai/settings/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Get one from dashboard</a>)
-  - Node.js 14+ (for npx)
+  - API key (<a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Get one from dashboard</a>)
+  - Node.js 18+ (for npx)
   - An MCP-compatible client (Claude, Claude Code, Codex, Cursor, Windsurf, VS Code, OpenCode)
 </Info>
 
 ## What is Mem0 MCP?
 
-Mem0 MCP Server exposes Mem0's memory capabilities as MCP tools, letting AI agents decide when to save, search, or update information. The cloud-hosted MCP server requires no local installation: just connect and start using memory.
+MCP (Model Context Protocol) is a standard way for AI clients to call external tools. The Mem0 MCP server hands your agent a set of memory tools, so it can decide for itself when to save something, look something up, or update what it already knows. Nothing runs on your machine: the server is hosted by Mem0, and your client connects to it over HTTPS.
 
-## Quick Setup
+Memories you store this way live in your Mem0 account, not on your computer.
 
-Add Mem0 MCP to your preferred clients with a single command:
+## Quick setup
+
+Point your clients at the hosted server with a single command:
 
 ```bash
 npx mcp-add \
@@ -29,9 +31,31 @@ npx mcp-add \
   --clients "claude,claude code,cursor,windsurf,vscode,opencode"
 ```
 
-This automatically configures Mem0 MCP for all supported clients at once.
+`mcp-add` is a helper that writes the Mem0 server into each client's own MCP config file, so you do not have to edit them by hand. Name only the clients you actually use. If you would rather see the change yourself, every client's manual config is under [Client-specific setup](#client-specific-setup).
 
-## Available Tools
+Restart each client afterwards so it picks up the new server.
+
+## Signing in
+
+The server is authenticated, so connecting is not enough on its own. There are two ways in:
+
+<Tabs>
+  <Tab title="Sign in through the client">
+    Most clients handle this for you. The first time your agent uses a Mem0 tool, the client opens a browser window asking you to authorize access to your Mem0 account. Approve it once and the client stores the token, refreshing it as needed.
+
+    This is the easier path, and it is what happens by default if you followed the quick setup above.
+  </Tab>
+
+  <Tab title="Use your API key">
+    For clients without browser sign-in, or for headless environments like CI, send your API key as a bearer token instead. Where you put it depends on the client; see [Client-specific setup](#client-specific-setup) for the exact syntax.
+
+    Get a key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Mem0 dashboard</a>, and keep it out of any file you commit.
+  </Tab>
+</Tabs>
+
+If neither is set up, the server replies `401 Authentication required` and your client reports the connection as failed.
+
+## Available tools
 
 The MCP server exposes these memory tools to your AI client:
 
@@ -41,7 +65,7 @@ The MCP server exposes these memory tools to your AI client:
 | `search_memories` | Semantic search across existing memories with filters |
 | `get_memories` | List memories with structured filters and pagination |
 | `get_memory` | Retrieve one memory by its `memory_id` |
-| `update_memory` | Overwrite a memory's text after confirming the ID |
+| `update_memory` | Overwrite a memory's text and/or metadata after confirming the ID |
 | `delete_memory` | Delete a single memory by `memory_id` |
 | `delete_all_memories` | Bulk delete all memories in scope |
 | `delete_entities` | Delete a user/agent/app/run entity and its memories |
@@ -51,7 +75,7 @@ The MCP server exposes these memory tools to your AI client:
 
 ---
 
-## Client-Specific Setup
+## Client-specific setup
 
 You can also configure individual clients:
 
@@ -170,43 +194,44 @@ You can also configure individual clients:
 
 ---
 
-## Verify Your Setup
+## Check that it worked
 
-Once configured, your AI client can:
-- Automatically save information with `add_memory`
-- Search memories with `search_memories`
-- Update memories with `update_memory`
-- Delete memories with `delete_memory`
-
-**Sample Interactions:**
+Restart your client, then ask it to store something and read it back in a later message:
 
 ```
-User: Remember that I love tiramisu
-Agent: Got it! I've saved that you love tiramisu.
+You:   Remember that I prefer TypeScript over JavaScript for new projects.
+Agent: Saved.
 
-User: What do you know about my food preferences?
-Agent: Based on your memories, you love tiramisu.
-
-User: Update my project: the mobile app is now 80% complete
-Agent: Updated your project status successfully.
+You:   What language do I prefer for new projects?
+Agent: You prefer TypeScript over JavaScript.
 ```
 
-<Info icon="check">
-  If you get "Connection failed", ensure you have a valid API key from <a href="https://app.mem0.ai/settings/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Mem0 Dashboard</a>.
-</Info>
+The second answer only works if the memory was really stored, so this is a genuine round-trip test rather than the model repeating itself.
+
+Two things to look for while you do it:
+
+- Your client should show the Mem0 tools among its available tools. Most clients list them in a tools or MCP panel.
+- The first tool call should trigger the browser sign-in described above, unless you configured an API key.
+
+To confirm from outside the client, open the <a href="https://app.mem0.ai/dashboard?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Mem0 dashboard</a>: anything the agent saved appears there.
 
 ---
 
-## Quick Recovery
+## Troubleshooting
 
-- **"Connection refused"** → Check your internet connection and ensure the MCP client is correctly configured
-- **"Invalid API key"** → Get a new key from <a href="https://app.mem0.ai/settings/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Mem0 Dashboard</a>
-- **"npx command not found"** → Install Node.js from [nodejs.org](https://nodejs.org)
+| What you see | What it means | What to do |
+|---|---|---|
+| `401` or "Authentication required" | The client connected but is not signed in | Complete the browser sign-in, or set your API key as a bearer token |
+| "Connection refused" or "failed to connect" | The client cannot reach the server | Check your internet connection, then confirm the URL is exactly `https://mcp.mem0.ai/mcp` |
+| The agent has no Mem0 tools | The config was written but the client has not reloaded it | Restart the client. If the tools are still missing, check that `mcp-add` wrote to the config file your client actually reads |
+| `npx: command not found` | Node.js is not installed | Install it from [nodejs.org](https://nodejs.org) |
+| "Invalid API key" | The key is wrong, revoked, or from a different account | Get a new one from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Mem0 dashboard</a> |
 
 ---
 
 ## Next steps
 
-- [Platform Quickstart](/platform/quickstart) - direct SDK/API integration guide
-- [MCP Specification](https://modelcontextprotocol.io) - the Model Context Protocol standard
-- [Gemini with Mem0 MCP](/cookbooks/frameworks/gemini-3-with-mem0-mcp) - example integration cookbook
+- [Platform quickstart](/platform/quickstart): call Mem0 from your own code instead of through an agent
+- [Mem0 CLI](/platform/cli): the same operations from your terminal
+- [MCP specification](https://modelcontextprotocol.io): the Model Context Protocol standard
+- [Gemini with Mem0 MCP](/cookbooks/frameworks/gemini-3-with-mem0-mcp): a worked example

docs/platform/overview.mdx

@@ -50,7 +50,7 @@ For the full pipeline, see [How Mem0 works](/core-concepts/how-it-works).
     Get an API key and save your first memory.
   </Card>
   <Card title="Understand memory types" icon="brain" href="/core-concepts/memory-types">
-    How user, agent, run, and session memory differ.
+    How user, agent, app, and run memory differ.
   </Card>
   <Card title="Add, search, and update" icon="layer-group" href="/core-concepts/memory-operations/add">
     The core memory operations, end to end.

docs/platform/quickstart.mdx

@@ -5,31 +5,42 @@ icon: "bolt"
 iconType: "solid"
 ---
 
-Get started with Mem0 Platform's hosted API in under 5 minutes. This guide shows you how to authenticate and store your first memory.
+In about five minutes you will get an API key, store your first memory, and search it back. Follow along in Python, JavaScript, cURL, or the terminal.
 
 <Note>
-**Are you an AI agent?** See [Sign up as an agent](/platform/agent-signup): mint a working API key in four commands, no email or dashboard required.
+**Are you an AI agent?** See [Sign up as an agent](/platform/agent-signup): create a working API key in four commands, with no email or dashboard.
 </Note>
 
 ## Prerequisites
 
 - Mem0 Platform account (<a href="https://app.mem0.ai?utm_source=oss&utm_medium=platform-quickstart" rel="nofollow">Sign up here</a>)
 - API key (<a href="https://app.mem0.ai/dashboard/settings?tab=api-keys&subtab=configuration" rel="nofollow">Get one from dashboard</a>)
-- Python 3.10+, Node.js 18+, or cURL
+- Python 3.10+, Node.js 18+, or cURL. The CLI needs either Node.js 18+ or Python 3.10+.
 
-## Installation
+## Store your first memory
 
 <Steps>
-<Step title="Install SDK">
+<Step title="Install">
+Pick a tab and use the same one for every step below.
+
 <CodeGroup>
-```bash pip
+```bash Python
 pip install mem0ai
 ```
 
-```bash npm
+```bash JavaScript
 npm install mem0ai
 ```
 
+```bash cURL
+# Nothing to install. cURL ships with macOS and most Linux distributions.
+```
+
+```bash CLI
+npm install -g @mem0/cli
+# or, if you prefer Python: pip install mem0-cli
+```
+
 </CodeGroup>
 </Step>
 
@@ -39,12 +50,12 @@ npm install mem0ai
 from mem0 import MemoryClient
 
 client = MemoryClient(api_key="your-api-key")
-````
+```
 
 ```javascript JavaScript
 import MemoryClient from 'mem0ai';
 const client = new MemoryClient({ apiKey: 'your-api-key' });
-````
+```
 
 ```bash cURL
 export MEM0_API_KEY="your-api-key"
@@ -65,7 +76,7 @@ messages = [
     {"role": "assistant", "content": "Got it! I'll remember your dietary preferences."}
 ]
 client.add(messages, user_id="user123")
-````
+```
 
 ```javascript JavaScript
 const messages = [
@@ -73,7 +84,7 @@ const messages = [
     {"role": "assistant", "content": "Got it! I'll remember your dietary preferences."}
 ];
 await client.add(messages, { userId: "user123" });
-````
+```
 
 ```bash cURL
 curl -X POST https://api.mem0.ai/v3/memories/add/ \
@@ -93,6 +104,17 @@ mem0 add "I'm a vegetarian and allergic to nuts." --user-id user123
 ```
 
 </CodeGroup>
+
+Mem0 pulls the individual facts out of the conversation and stores each one separately:
+
+```json
+{
+  "results": [
+    {"id": "0f2c1b6e-9a3d-4b18-8f77-1c2d3e4f5a6b", "memory": "Is a vegetarian", "event": "ADD"},
+    {"id": "14e1b28a-2014-40ad-ac42-69c9ef42193d", "memory": "Allergic to nuts", "event": "ADD"}
+  ]
+}
+```
 </Step>
 
 <Step title="Search memories">
@@ -100,12 +122,12 @@ mem0 add "I'm a vegetarian and allergic to nuts." --user-id user123
 ```python Python
 results = client.search("What are my dietary restrictions?", filters={"user_id": "user123"})
 print(results)
-````
+```
 
 ```javascript JavaScript
 const results = await client.search("What are my dietary restrictions?", { filters: { user_id: "user123" } });
 console.log(results);
-````
+```
 
 ```bash cURL
 curl -X POST https://api.mem0.ai/v3/memories/search/ \
@@ -123,7 +145,7 @@ mem0 search "What are my dietary restrictions?" --user-id user123
 
 </CodeGroup>
 
-**Output:**
+Both facts come back, ranked by how well they match the question:
 
 ```json
 {
@@ -132,37 +154,65 @@ mem0 search "What are my dietary restrictions?" --user-id user123
       "id": "14e1b28a-2014-40ad-ac42-69c9ef42193d",
       "memory": "Allergic to nuts",
       "user_id": "user123",
+      "agent_id": null,
+      "app_id": null,
+      "run_id": null,
       "categories": ["health"],
+      "metadata": {},
       "created_at": "2025-10-22T04:40:22.864647-07:00",
-      "score": 0.30
+      "updated_at": "2025-10-22T04:40:22.864647-07:00",
+      "expiration_date": null,
+      "score": 0.87
+    },
+    {
+      "id": "0f2c1b6e-9a3d-4b18-8f77-1c2d3e4f5a6b",
+      "memory": "Is a vegetarian",
+      "user_id": "user123",
+      "agent_id": null,
+      "app_id": null,
+      "run_id": null,
+      "categories": ["food_preferences"],
+      "metadata": {},
+      "created_at": "2025-10-22T04:40:22.864647-07:00",
+      "updated_at": "2025-10-22T04:40:22.864647-07:00",
+      "expiration_date": null,
+      "score": 0.81
     }
   ]
 }
 ```
 
+Pass these memories to your model as context, and it answers with what it already knows about the user instead of asking again.
+
 </Step>
 </Steps>
 
-<Callout type="tip" icon="plug">
-  **Pro Tip**: Want AI agents to manage their own memory automatically? Use <Link href="/platform/mem0-mcp">Mem0 MCP</Link> to let LLMs decide when to save, search, and update memories.
-</Callout>
+<Tip>
+  Rather than calling `add` and `search` yourself, you can hand Mem0 to your agent as a set of tools and let it decide when to save and look things up. See [Mem0 MCP](/platform/mem0-mcp).
+</Tip>
 
 ## What's next?
 
-You stored and searched your first memory. Keep going:
+You stored and searched your first memory. Start with scoping, since every call you make from here needs it:
 
-<CardGroup cols={3}>
-<Card title="How it works" icon="diagram-project" href="/core-concepts/how-it-works">
-  See how Mem0 extracts, stores, and retrieves memories under the hood.
+<CardGroup cols={2}>
+<Card title="Scope memories to users and agents" icon="users" href="/platform/features/entity-scoped-memory">
+  What `user_id` actually does, plus the `agent_id`, `app_id`, and `run_id` fields that came back empty above.
 </Card>
 
-<Card title="Memory operations" icon="database" href="/core-concepts/memory-operations/add">
-  Go beyond add and search: update, delete, and the full memory lifecycle.
+<Card title="How Mem0 works" icon="diagram-project" href="/core-concepts/how-it-works">
+  Why one sentence became two memories, and how Mem0 decides what to keep.
 </Card>
 
-<Card title="Build an AI companion" icon="users" href="/cookbooks/essentials/building-ai-companion">
-  Put it to work in a real app, end to end, in about 10 minutes.
+<Card title="Update and delete memories" icon="database" href="/core-concepts/memory-operations/add">
+  The operations beyond add and search, for when stored facts change or go stale.
+</Card>
+
+<Card title="Use Mem0 with your agent framework" icon="plug" href="/integrations">
+  Wire memory into LangChain, CrewAI, LangGraph, or the OpenAI Agents SDK.
 </Card>
 </CardGroup>
 
-Stuck on setup? See the [FAQs and troubleshooting](/platform/faqs).
+<Note>
+  Something not working? The [FAQs and troubleshooting](/platform/faqs) page covers the common setup errors.
+</Note>

docs/vibecoding.mdx

@@ -5,13 +5,15 @@ description: "Agent skills, starter prompts, and setup for building with Mem0 us
 icon: "wand-magic-sparkles"
 ---
 
-These docs are designed to be easily consumable by LLMs. Each page has a button that lets you copy the page as Markdown or paste directly into ChatGPT, Claude, or any AI coding tool.
+Vibecoding means building software by describing what you want to an AI coding assistant and letting it write the code. The catch is that assistants guess at unfamiliar libraries, and a wrong guess about Mem0 costs you a debugging session.
 
-We follow the llms.txt standard:
+This page fixes that three ways: skills that teach your assistant the Mem0 SDKs, an MCP connection so it can read and write memories itself, and a starter prompt you can paste into any tool.
 
-- [llms.txt](https://docs.mem0.ai/llms.txt)
+<Note>
+Every page in these docs has a button to copy it as Markdown or send it straight to ChatGPT or Claude, so you can hand your assistant any page it needs. We follow the [llms.txt](https://docs.mem0.ai/llms.txt) standard.
+</Note>
 
-## Agent Skills
+## Agent skills
 
 Mem0 ships two kinds of skills for AI coding assistants. Both work with Claude Code, Codex, Cursor, Windsurf, OpenCode, OpenClaw, and any assistant that supports the skills standard.
 
@@ -45,7 +47,7 @@ npx skills add https://github.com/mem0ai/mem0 --skill mem0-oss-to-platform
 
 See the [skills index](https://github.com/mem0ai/mem0/tree/main/skills) for the full catalog.
 
-## MCP Server Setup
+## MCP server setup
 
 Connect Claude, Claude Code, Cursor, Windsurf, VS Code, OpenCode, or any MCP-compatible client to Mem0.
 
@@ -61,13 +63,13 @@ npx mcp-add \
 
 For per-client setup and advanced options, see [Mem0 MCP Setup](/platform/mem0-mcp).
 
-## Universal Starter Prompt
+## Universal starter prompt
 
 Copy this into any AI tool to start building with Mem0:
 
 ```text
-I want to start building with Mem0, a self-improving memory layer for LLM
-applications that gives agents persistent context across sessions.
+I want to start building with Mem0, which gives AI agents long-term memory
+that persists across sessions, tools, and runs.
 
 ## Mem0 Resources
 
@@ -86,10 +88,10 @@ applications that gives agents persistent context across sessions.
 - Cookbooks: https://docs.mem0.ai/cookbooks/overview
 
 **What Mem0 Does:**
-Mem0 is a memory layer for AI apps, managed (Mem0 Platform) or self-hosted
-(Open Source). It stores, retrieves, and manages user memories so agents
-remember preferences, learn from interactions, and personalize over time.
-Sub-50ms retrieval. Storage: vector embeddings.
+Mem0 gives AI agents long-term memory, either managed (Mem0 Platform) or
+self-hosted (Open Source). It stores, retrieves, and manages memories so
+agents remember preferences, learn from past runs, and personalize over
+time. Storage: vector embeddings.
 
 **Architecture Overview:**
 - Memory is scoped by user_id, agent_id, or run_id
@@ -109,7 +111,7 @@ Sub-50ms retrieval. Storage: vector embeddings.
   import MemoryClient from 'mem0ai';
   const client = new MemoryClient({ apiKey: 'm0-xxx' });
   await client.add([{ role: "user", content: "I prefer dark mode." }], { userId: "user1" });
-  const results = await client.search("What editor?", { filters: { userId: "user1" } });
+  const results = await client.search("What editor?", { filters: { user_id: "user1" } });
 
 **Quick Usage (Python Open Source):**
   from mem0 import Memory
@@ -121,10 +123,10 @@ Help me integrate Mem0 into my project. Start by asking what I'm building,
 what language/framework I'm using, and whether I want managed or self-hosted.
 ```
 
-## Go Deeper
+## Go deeper
 
 <CardGroup cols={2}>
-  <Card title="Platform Quickstart" icon="cloud" href="/platform/quickstart">
+  <Card title="Platform quickstart" icon="cloud" href="/platform/quickstart">
     Get started with the managed API
   </Card>
   <Card title="Open Source" icon="code-branch" href="/open-source/overview">
@@ -133,7 +135,7 @@ what language/framework I'm using, and whether I want managed or self-hosted.
   <Card title="Cookbooks" icon="book" href="/cookbooks/overview">
     Production-ready tutorials and examples
   </Card>
-  <Card title="API Reference" icon="code" href="/api-reference">
+  <Card title="API reference" icon="code" href="/api-reference">
     Explore every REST endpoint
   </Card>
 </CardGroup>

examples/mem0-demo/package.json

@@ -28,7 +28,7 @@
     "clsx": "^2.1.1",
     "js-cookie": "^3.0.6",
     "lucide-react": "^0.477.0",
-    "next": "15.5.18",
+    "next": "15.5.21",
     "react": "^19.0.0",
     "react-dom": "^19.0.0",
     "react-markdown": "^10.0.1",

integrations/mem0-plugin/plugin.json

@@ -1,7 +1,7 @@
 {
   "id": "mem0",
   "name": "mem0",
-  "version": "0.1.5",
+  "version": "0.1.6",
   "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",

integrations/mem0-plugin/scripts/load_settings.py

@@ -27,24 +27,45 @@ def load_settings() -> dict:
         try:
             with open(SETTINGS_PATH) as f:
                 user = json.load(f)
-            settings.update({k: v for k, v in user.items() if k in DEFAULTS})
         except (json.JSONDecodeError, OSError):
-            pass
+            return settings
+        if isinstance(user, dict):
+            settings.update({k: v for k, v in user.items() if k in DEFAULTS})
     return settings
 
 
-def create_default_settings() -> None:
+def create_default_settings() -> bool:
+    """Write the default settings file if absent. Returns True if it was created."""
     SETTINGS_PATH.parent.mkdir(parents=True, exist_ok=True)
+    if SETTINGS_PATH.exists():
+        return False
+    with open(SETTINGS_PATH, "w") as f:
+        json.dump(DEFAULTS, f, indent=2)
+        f.write("\n")
+    return True
+
+
+def unknown_keys() -> list[str]:
+    """Keys present in the user's settings file that no code reads."""
     if not SETTINGS_PATH.exists():
-        with open(SETTINGS_PATH, "w") as f:
-            json.dump(DEFAULTS, f, indent=2)
-            f.write("\n")
+        return []
+    try:
+        with open(SETTINGS_PATH) as f:
+            user = json.load(f)
+    except (json.JSONDecodeError, OSError):
+        return []
+    if not isinstance(user, dict):
+        return []
+    return sorted(k for k in user if k not in DEFAULTS)
 
 
 if __name__ == "__main__":
     import sys
     if len(sys.argv) > 1 and sys.argv[1] == "init":
-        create_default_settings()
-        print(f"Created {SETTINGS_PATH}")
+        if create_default_settings():
+            print(f"Created {SETTINGS_PATH}")
+        ignored = unknown_keys()
+        if ignored:
+            print(f"Ignoring unrecognized settings in {SETTINGS_PATH}: {', '.join(ignored)}")
     else:
         print(json.dumps(load_settings()))

integrations/mem0-plugin/tests/conftest.py

@@ -23,15 +23,14 @@ def _scripts_on_path():
 
 
 @pytest.fixture(autouse=True)
-def _clean_project_map(monkeypatch):
-    """Remove project_map.json and clear MEM0_PROJECT_ID before each test."""
+def _isolated_home(tmp_path, monkeypatch):
+    """Point HOME at a tmp dir so ~/.mem0 writes never touch the real home."""
+    home = tmp_path / "home"
+    home.mkdir()
+    monkeypatch.setenv("HOME", str(home))
+    monkeypatch.setenv("USERPROFILE", str(home))
     monkeypatch.delenv("MEM0_PROJECT_ID", raising=False)
-    map_path = os.path.expanduser("~/.mem0/project_map.json")
-    if os.path.isfile(map_path):
-        os.remove(map_path)
-    yield
-    if os.path.isfile(map_path):
-        os.remove(map_path)
+    yield home
 
 
 @pytest.fixture()

integrations/mem0-plugin/tests/test_load_settings.py

@@ -0,0 +1,86 @@
+"""Tests for scripts/load_settings.py."""
+
+from __future__ import annotations
+
+import json
+import os
+import subprocess
+import sys
+
+import pytest
+
+
+@pytest.fixture()
+def settings(tmp_path, monkeypatch):
+    import load_settings
+
+    path = tmp_path / ".mem0" / "settings.json"
+    monkeypatch.setattr(load_settings, "SETTINGS_PATH", path)
+    return load_settings
+
+
+def test_creates_file_when_absent(settings):
+    assert settings.create_default_settings() is True
+    assert settings.SETTINGS_PATH.exists()
+    assert json.loads(settings.SETTINGS_PATH.read_text()) == settings.DEFAULTS
+
+
+def test_does_not_recreate_or_overwrite_existing(settings):
+    settings.SETTINGS_PATH.parent.mkdir(parents=True)
+    settings.SETTINGS_PATH.write_text('{"search_limit": 42}')
+
+    assert settings.create_default_settings() is False
+    assert json.loads(settings.SETTINGS_PATH.read_text()) == {"search_limit": 42}
+
+
+def test_user_values_override_defaults(settings):
+    settings.SETTINGS_PATH.parent.mkdir(parents=True)
+    settings.SETTINGS_PATH.write_text('{"search_limit": 3, "auto_save": false}')
+
+    loaded = settings.load_settings()
+    assert loaded["search_limit"] == 3
+    assert loaded["auto_save"] is False
+    assert loaded["global_search"] == settings.DEFAULTS["global_search"]
+
+
+def test_unknown_keys_are_dropped_but_reported(settings):
+    settings.SETTINGS_PATH.parent.mkdir(parents=True)
+    settings.SETTINGS_PATH.write_text('{"skip_tools": ["Read"], "output_style": "compact"}')
+
+    assert "skip_tools" not in settings.load_settings()
+    assert settings.unknown_keys() == ["output_style", "skip_tools"]
+
+
+def test_unknown_keys_empty_for_clean_file(settings):
+    settings.create_default_settings()
+    assert settings.unknown_keys() == []
+
+
+@pytest.mark.parametrize("body", ["{not json", '["a", "list"]'])
+def test_malformed_file_falls_back_to_defaults(settings, body):
+    settings.SETTINGS_PATH.parent.mkdir(parents=True)
+    settings.SETTINGS_PATH.write_text(body)
+
+    assert settings.load_settings() == settings.DEFAULTS
+    assert settings.unknown_keys() == []
+
+
+def test_init_announces_creation_only_once(_isolated_home):
+    import load_settings
+
+    home = _isolated_home
+
+    def run_init():
+        return subprocess.run(
+            [sys.executable, load_settings.__file__, "init"],
+            capture_output=True,
+            text=True,
+            check=True,
+            env={**os.environ, "HOME": str(home)},
+        ).stdout
+
+    first = run_init()
+    second = run_init()
+
+    assert "Created" in first
+    assert "Created" not in second

integrations/n8n-nodes-mem0/LICENSE

@@ -1,201 +1,21 @@
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+MIT License
 
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integrations/n8n-nodes-mem0/credentials/Mem0Api.credentials.ts

@@ -11,7 +11,7 @@ export class Mem0Api implements ICredentialType {
 
 	displayName = 'Mem0 API';
 
-	icon: Icon = 'file:mem0.svg';
+	icon: Icon = { light: 'file:mem0-light.svg', dark: 'file:mem0.svg' };
 
 	documentationUrl = 'https://docs.mem0.ai/platform/quickstart';
 

integrations/n8n-nodes-mem0/credentials/mem0-light.svg

@@ -0,0 +1,19 @@
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integrations/n8n-nodes-mem0/nodes/Mem0/Mem0.node.ts

@@ -21,7 +21,7 @@ export class Mem0 implements INodeType {
 	description: INodeTypeDescription = {
 		displayName: 'Mem0',
 		name: 'mem0',
-		icon: 'file:mem0.svg',
+		icon: { light: 'file:mem0-light.svg', dark: 'file:mem0.svg' },
 		group: ['transform'],
 		version: 1,
 		subtitle: '={{$parameter["operation"] + ": " + $parameter["resource"]}}',

integrations/n8n-nodes-mem0/nodes/Mem0/mem0-light.svg

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integrations/n8n-nodes-mem0/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mem0/n8n-nodes-mem0",
-  "version": "0.1.0",
+  "version": "0.1.4",
   "description": "n8n community node for Mem0 — the memory layer for AI agents. Add, search, get, update, and delete long-term memories.",
   "keywords": [
     "n8n-community-node-package",
@@ -10,11 +10,11 @@
     "agents",
     "llm"
   ],
-  "license": "Apache-2.0",
+  "license": "MIT",
   "homepage": "https://mem0.ai",
   "author": {
     "name": "Mem0",
-    "email": "founders@mem0.ai"
+    "email": "integrations@mem0.ai"
   },
   "repository": {
     "type": "git",