feat(deepseek-plugin,mem0-strands): add usage telemetry (#7110 )

docs(integrations): add Vercel Marketplace (managed) integration page (#7100 )
refactor: replace custom validator with Pydantic extra="forbid" config (#7089 )
2026-08-27 13:48:30 +05:30 · 2026-08-24 22:22:04 +05:30 · 2026-08-24 21:17:57 +05:30 · 2026-08-24 19:21:23 +05:30
50 changed files with 1047 additions and 151 deletions
@@ -21,10 +21,10 @@ Package workflows keep their own push-to-main and manual triggers. Their `pull_r
 | Mem0 Plugin | `mem0-plugin-checks.yml` | Push to main (`integrations/mem0-plugin/`, excluding `.opencode-plugin/`), manual | pytest + hook exec bits + JSON manifest validation on Python 3.10, 3.11, 3.12 |
 | OpenCode Plugin | `opencode-plugin-checks.yml` | Push to main (`.opencode-plugin/`), manual | Bun: tsc + build + dist artifact check |
 | Pi Agent Plugin | `pi-agent-plugin-checks.yml` | Push to main (`integrations/pi-agent-plugin/`), manual | tsc + vitest + tsup on Node 20, 22 |
-| DeepSeek Harness Plugin | `dsh-mem0-checks.yml` | Push to main (`integrations/dsh-mem0/`), manual | tsc + vitest + tsup on Node 20, 22 |
+| DeepSeek Harness Plugin | `deepseek-plugin-checks.yml` | Push to main (`integrations/deepseek-plugin/`), manual | tsc + vitest + tsup on Node 20, 22 |
 | n8n Node | `n8n-nodes-mem0-checks.yml` | Push to main (`integrations/n8n-nodes-mem0/`), manual | ESLint + tsc build on Node 20 |
 | Zapier App | `zapier-mem0-checks.yml` | Push to main (`integrations/zapier-mem0/`), manual | tsc + `zapier validate` + offline unit tests on Node 22 |
-| strands-mem0 | `strands-mem0-checks.yml` | Push to main (`integrations/strands-mem0/`), manual | Ruff + mypy + pytest + hatch build on Python 3.10, 3.11, 3.12 |
+| mem0-strands | `mem0-strands-checks.yml` | Push to main (`integrations/mem0-strands/`), manual | Ruff + mypy + pytest + hatch build on Python 3.10, 3.11, 3.12 |
 | docs llms.txt | `docs-llms-txt-check.yml` | Manual | `docs/llms.txt` coverage |
 | GitHub Scripts | inline in `ci-gate.yml` | none | `node` over every `.github/scripts/*.test.js` |

@@ -60,9 +60,9 @@ Requiring `CI Gate` also means fork PRs from first-time contributors cannot merg
 | OpenClaw | `openclaw-cd.yml` | `openclaw-v*` | npm (`@mem0/openclaw-mem0`) |
 | OpenCode Plugin | `opencode-plugin-cd.yml` | `opencode-v*` | npm (`@mem0/opencode-plugin`) |
 | Pi Agent Plugin | `pi-agent-plugin-cd.yml` | `pi-agent-v*` | npm (`@mem0/pi-agent-plugin`) |
-| DeepSeek Harness Plugin | `dsh-mem0-cd.yml` | `dsh-mem0-v*` | npm (`@mem0/dsh-mem0`) |
+| DeepSeek Harness Plugin | `deepseek-plugin-cd.yml` | `deepseek-plugin-v*` | npm (`@mem0/deepseek-plugin`) |
 | n8n Node | `n8n-nodes-mem0-cd.yml` | `n8n-nodes-mem0-v*` | npm (`@mem0/n8n-nodes-mem0`) |
-| strands-mem0 | `strands-mem0-cd.yml` | `strands-mem0-v*` | PyPI (`strands-mem0`) |
+| mem0-strands | `mem0-strands-cd.yml` | `mem0-strands-v*` | PyPI (`mem0-strands`) |

 - Package CD workflows are `workflow_dispatch`-only, with `tag` and `prerelease` inputs. They check out and build the given tag.
 - All publishing uses **OIDC trusted publishing**. No tokens, no secrets.
@@ -41,10 +41,10 @@ jobs:
      mem0_plugin: ${{ steps.filter.outputs.mem0_plugin }}
      opencode_plugin: ${{ steps.filter.outputs.opencode_plugin }}
      pi_agent_plugin: ${{ steps.filter.outputs.pi_agent_plugin }}
-      dsh_mem0: ${{ steps.filter.outputs.dsh_mem0 }}
+      deepseek_plugin: ${{ steps.filter.outputs.deepseek_plugin }}
      n8n_nodes_mem0: ${{ steps.filter.outputs.n8n_nodes_mem0 }}
      zapier_mem0: ${{ steps.filter.outputs.zapier_mem0 }}
-      strands_mem0: ${{ steps.filter.outputs.strands_mem0 }}
+      mem0_strands: ${{ steps.filter.outputs.mem0_strands }}
      docs_llms_txt: ${{ steps.filter.outputs.docs_llms_txt }}
      github_scripts: ${{ steps.filter.outputs.github_scripts }}
    steps:
@@ -90,9 +90,9 @@ jobs:
              - 'integrations/pi-agent-plugin/**'
              - '.github/workflows/pi-agent-plugin-checks.yml'
              - '.github/workflows/ci-gate.yml'
-            dsh_mem0:
-              - 'integrations/dsh-mem0/**'
-              - '.github/workflows/dsh-mem0-checks.yml'
+            deepseek_plugin:
+              - 'integrations/deepseek-plugin/**'
+              - '.github/workflows/deepseek-plugin-checks.yml'
              - '.github/workflows/ci-gate.yml'
            n8n_nodes_mem0:
              - 'integrations/n8n-nodes-mem0/**'
@@ -101,9 +101,9 @@ jobs:
              - 'integrations/zapier-mem0/**'
              - '.github/workflows/zapier-mem0-checks.yml'
              - '.github/workflows/ci-gate.yml'
-            strands_mem0:
-              - 'integrations/strands-mem0/**'
-              - '.github/workflows/strands-mem0-checks.yml'
+            mem0_strands:
+              - 'integrations/mem0-strands/**'
+              - '.github/workflows/mem0-strands-checks.yml'
              - '.github/workflows/ci-gate.yml'
            docs_llms_txt:
              - 'docs/**/*.mdx'
@@ -176,11 +176,11 @@ jobs:
    uses: ./.github/workflows/pi-agent-plugin-checks.yml
    secrets: inherit

-  dsh-mem0:
+  deepseek-plugin:
    name: DeepSeek Harness Plugin
    needs: changes
-    if: needs.changes.outputs.dsh_mem0 == 'true'
-    uses: ./.github/workflows/dsh-mem0-checks.yml
+    if: needs.changes.outputs.deepseek_plugin == 'true'
+    uses: ./.github/workflows/deepseek-plugin-checks.yml
    secrets: inherit

  n8n-nodes-mem0:
@@ -195,11 +195,11 @@ jobs:
    uses: ./.github/workflows/zapier-mem0-checks.yml
    secrets: inherit

-  strands-mem0:
-    name: strands-mem0
+  mem0-strands:
+    name: mem0-strands
    needs: changes
-    if: needs.changes.outputs.strands_mem0 == 'true'
-    uses: ./.github/workflows/strands-mem0-checks.yml
+    if: needs.changes.outputs.mem0_strands == 'true'
+    uses: ./.github/workflows/mem0-strands-checks.yml
    secrets: inherit

  docs-llms-txt:
@@ -239,10 +239,10 @@ jobs:
      - mem0-plugin
      - opencode-plugin
      - pi-agent-plugin
-      - dsh-mem0
+      - deepseek-plugin
      - n8n-nodes-mem0
      - zapier-mem0
-      - strands-mem0
+      - mem0-strands
      - docs-llms-txt
      - github-scripts
    if: always()
@@ -1,13 +1,13 @@
-name: Publish @mem0/dsh-mem0 📦 to npm
+name: Publish @mem0/deepseek-plugin 📦 to npm

 # Dispatched by release.yml (Release Router) when a release tagged
-# dsh-mem0-v* is published. Can also be dispatched manually to re-publish
+# deepseek-plugin-v* is published. Can also be dispatched manually to re-publish
 # a tag.
 on:
  workflow_dispatch:
    inputs:
      tag:
-        description: 'Release tag to build and publish (e.g. dsh-mem0-v0.1.1)'
+        description: 'Release tag to build and publish (e.g. deepseek-plugin-v0.1.1)'
        required: true
        type: string
      prerelease:
@@ -18,14 +18,14 @@ on:

 jobs:
  build-n-publish:
-    name: Build and publish @mem0/dsh-mem0 📦 to npm
-    if: startsWith(inputs.tag, 'dsh-mem0-v')
+    name: Build and publish @mem0/deepseek-plugin 📦 to npm
+    if: startsWith(inputs.tag, 'deepseek-plugin-v')
    runs-on: ubuntu-latest
    permissions:
      id-token: write
    defaults:
      run:
-        working-directory: integrations/dsh-mem0
+        working-directory: integrations/deepseek-plugin
    steps:
      - uses: actions/checkout@v4
        with:
@@ -42,7 +42,7 @@ jobs:
          node-version: '22'
          registry-url: 'https://registry.npmjs.org'
          cache: 'pnpm'
-          cache-dependency-path: integrations/dsh-mem0/pnpm-lock.yaml
+          cache-dependency-path: integrations/deepseek-plugin/pnpm-lock.yaml

      - name: Install dependencies
        run: pnpm install --frozen-lockfile
@@ -1,4 +1,4 @@
-name: dsh-mem0 checks
+name: deepseek-plugin checks

 # On PRs this is invoked by ci-gate.yml (the single required check);
 # push-to-main and manual runs remain standalone.
@@ -7,8 +7,8 @@ on:
  push:
    branches: [main]
    paths:
-      - 'integrations/dsh-mem0/**'
-      - '.github/workflows/dsh-mem0-checks.yml'
+      - 'integrations/deepseek-plugin/**'
+      - '.github/workflows/deepseek-plugin-checks.yml'
  workflow_call:

 jobs:
@@ -27,13 +27,13 @@ jobs:
        with:
          node-version: 20
          cache: 'pnpm'
-          cache-dependency-path: integrations/dsh-mem0/pnpm-lock.yaml
+          cache-dependency-path: integrations/deepseek-plugin/pnpm-lock.yaml

      - name: Install dependencies
-        run: cd integrations/dsh-mem0 && pnpm install --frozen-lockfile
+        run: cd integrations/deepseek-plugin && pnpm install --frozen-lockfile

      - name: Type check
-        run: cd integrations/dsh-mem0 && pnpm exec tsc --noEmit
+        run: cd integrations/deepseek-plugin && pnpm exec tsc --noEmit

  test:
    runs-on: ubuntu-latest
@@ -53,13 +53,13 @@ jobs:
        with:
          node-version: ${{ matrix.node-version }}
          cache: 'pnpm'
-          cache-dependency-path: integrations/dsh-mem0/pnpm-lock.yaml
+          cache-dependency-path: integrations/deepseek-plugin/pnpm-lock.yaml

      - name: Install dependencies
-        run: cd integrations/dsh-mem0 && pnpm install --frozen-lockfile
+        run: cd integrations/deepseek-plugin && pnpm install --frozen-lockfile

      - name: Run tests
-        run: cd integrations/dsh-mem0 && pnpm exec vitest run
+        run: cd integrations/deepseek-plugin && pnpm exec vitest run

  build:
    runs-on: ubuntu-latest
@@ -76,15 +76,15 @@ jobs:
        with:
          node-version: 20
          cache: 'pnpm'
-          cache-dependency-path: integrations/dsh-mem0/pnpm-lock.yaml
+          cache-dependency-path: integrations/deepseek-plugin/pnpm-lock.yaml

      - name: Install dependencies
-        run: cd integrations/dsh-mem0 && pnpm install --frozen-lockfile
+        run: cd integrations/deepseek-plugin && pnpm install --frozen-lockfile

      - name: Build
-        run: cd integrations/dsh-mem0 && pnpm build
+        run: cd integrations/deepseek-plugin && pnpm build

      - name: Verify dist output exists
        run: |
-          test -f integrations/dsh-mem0/dist/index.js || (echo "Build output missing: dist/index.js" && exit 1)
-          test -f integrations/dsh-mem0/dist/index.d.ts || (echo "Build output missing: dist/index.d.ts" && exit 1)
+          test -f integrations/deepseek-plugin/dist/index.js || (echo "Build output missing: dist/index.js" && exit 1)
+          test -f integrations/deepseek-plugin/dist/index.d.ts || (echo "Build output missing: dist/index.d.ts" && exit 1)
@@ -1,15 +1,15 @@
-name: Publish strands-mem0 🐍 distribution 📦 to PyPI
+name: Publish mem0-strands 🐍 distribution 📦 to PyPI

 # Dispatched by release.yml (Release Router) when a release tagged
-# strands-mem0-v* is published. Can also be dispatched manually to re-publish
+# mem0-strands-v* is published. Can also be dispatched manually to re-publish
 # a tag. Publishing uses PyPI Trusted Publishing (OIDC), so no API token is
-# stored; the `strands-mem0` PyPI project must have a trusted publisher
+# stored; the `mem0-strands` PyPI project must have a trusted publisher
 # configured for mem0ai/mem0 + this workflow.
 on:
  workflow_dispatch:
    inputs:
      tag:
-        description: 'Release tag to build and publish (e.g. strands-mem0-v0.1.0)'
+        description: 'Release tag to build and publish (e.g. mem0-strands-v0.1.0)'
        required: true
        type: string
      prerelease:
@@ -20,14 +20,14 @@ on:

 jobs:
  build-n-publish:
-    name: Build and publish strands-mem0 📦 to PyPI
-    if: startsWith(inputs.tag, 'strands-mem0-v')
+    name: Build and publish mem0-strands 📦 to PyPI
+    if: startsWith(inputs.tag, 'mem0-strands-v')
    runs-on: ubuntu-latest
    permissions:
      id-token: write
    defaults:
      run:
-        working-directory: integrations/strands-mem0/python
+        working-directory: integrations/mem0-strands/python
    steps:
      - uses: actions/checkout@v4
        with:
@@ -47,4 +47,4 @@ jobs:
      - name: Publish distribution 📦 to PyPI
        uses: pypa/gh-action-pypi-publish@release/v1
        with:
-          packages-dir: integrations/strands-mem0/python/dist/
+          packages-dir: integrations/mem0-strands/python/dist/
@@ -1,4 +1,4 @@
-name: strands-mem0 CI
+name: mem0-strands CI

 # On PRs this is invoked by ci-gate.yml (the single required check);
 # push-to-main and manual runs remain standalone.
@@ -7,8 +7,8 @@ on:
  push:
    branches: [main]
    paths:
-      - 'integrations/strands-mem0/**'
-      - '.github/workflows/strands-mem0-checks.yml'
+      - 'integrations/mem0-strands/**'
+      - '.github/workflows/mem0-strands-checks.yml'
  workflow_call:

 jobs:
@@ -23,19 +23,19 @@ jobs:
          python-version: '3.12'

      - name: Install dev dependencies
-        working-directory: integrations/strands-mem0/python
+        working-directory: integrations/mem0-strands/python
        run: pip install -e ".[dev]"

      - name: Lint with ruff
-        working-directory: integrations/strands-mem0/python
+        working-directory: integrations/mem0-strands/python
        run: ruff check .

      - name: Check formatting
-        working-directory: integrations/strands-mem0/python
+        working-directory: integrations/mem0-strands/python
        run: ruff format --check .

      - name: Type-check with mypy
-        working-directory: integrations/strands-mem0/python
+        working-directory: integrations/mem0-strands/python
        run: mypy src

  test:
@@ -52,11 +52,11 @@ jobs:
          python-version: ${{ matrix.python-version }}

      - name: Install dev dependencies
-        working-directory: integrations/strands-mem0/python
+        working-directory: integrations/mem0-strands/python
        run: pip install -e ".[dev]"

      - name: Run tests
-        working-directory: integrations/strands-mem0/python
+        working-directory: integrations/mem0-strands/python
        run: pytest

  build:
@@ -73,10 +73,10 @@ jobs:
        run: pip install hatch

      - name: Build
-        working-directory: integrations/strands-mem0/python
+        working-directory: integrations/mem0-strands/python
        run: hatch build --clean

      - name: Verify dist output
        run: |
-          ls integrations/strands-mem0/python/dist/*.whl || (echo "Wheel file missing" && exit 1)
-          ls integrations/strands-mem0/python/dist/*.tar.gz || (echo "Source dist missing" && exit 1)
+          ls integrations/mem0-strands/python/dist/*.whl || (echo "Wheel file missing" && exit 1)
+          ls integrations/mem0-strands/python/dist/*.tar.gz || (echo "Source dist missing" && exit 1)
@@ -45,9 +45,9 @@ jobs:
            openclaw-v*)  workflow="openclaw-cd.yml" ;;
            opencode-v*)  workflow="opencode-plugin-cd.yml" ;;
            pi-agent-v*)  workflow="pi-agent-plugin-cd.yml" ;;
-            dsh-mem0-v*)  workflow="dsh-mem0-cd.yml" ;;
+            deepseek-plugin-v*)  workflow="deepseek-plugin-cd.yml" ;;
            n8n-nodes-mem0-v*) workflow="n8n-nodes-mem0-cd.yml" ;;
-            strands-mem0-v*)   workflow="strands-mem0-cd.yml" ;;
+            mem0-strands-v*)   workflow="mem0-strands-cd.yml" ;;
            v*)           workflow="cd.yml" ;;
            *)
              echo "::error::Release tag '$TAG' does not match any known package prefix — nothing will be published. See the tag prefix table in AGENTS.md."
@@ -192,6 +192,6 @@ testing.ipynb
 .weave/


-# TypeScript incremental build info and local, uncommitted e2e scripts (used by the integrations, e.g. integrations/dsh-mem0)
+# TypeScript incremental build info and local, uncommitted e2e scripts (used by the integrations, e.g. integrations/deepseek-plugin)
 *.tsbuildinfo
 *.local.mjs
@@ -8,14 +8,14 @@ mode: "wide"

 **DeepSeek Harness: Mem0 as a Native Cordis Plugin**

-The DeepSeek Harness agent forgets everything between sessions. [`@mem0/dsh-mem0`](https://www.npmjs.com/package/@mem0/dsh-mem0) gives it two Mem0-backed tools, so recall and writes persist across runs against the same memory bank you already use from Claude Code, Codex, and every other connected agent.
+The DeepSeek Harness agent forgets everything between sessions. [`@mem0/deepseek-plugin`](https://www.npmjs.com/package/@mem0/deepseek-plugin) gives it two Mem0-backed tools, so recall and writes persist across runs against the same memory bank you already use from Claude Code, Codex, and every other connected agent.

 - **Two agent-callable tools:** `search_memory` recalls facts relevant to a query, `add_memory` stores a fact for future sessions. Both accept per-call `userId` / `agentId` / `runId` scope overrides.
 - **Native Cordis lifecycle:** The plugin declares `inject = ['tools']` so it waits for the harness tool registry, then registers through `ctx.tools.register()`. Unmounting the plugin removes the tools automatically.
 - **Managed backend, not a memory file:** Server-side extraction, semantic dedup, and conflict resolution, rather than a Markdown file the agent has to maintain itself.
 - **Config:** `userId` is required, `apiKey` defaults to `$MEM0_API_KEY`, and `host` optionally targets a dedicated Mem0 Platform base URL.

-See [DeepSeek Harness](/integrations/dsh-mem0) for setup and [SDK & Tools](/changelog/sdk) for PR links.
+See [DeepSeek Harness](/integrations/deepseek-plugin) for setup and [SDK & Tools](/changelog/sdk) for PR links.

 <Note>
  Developer preview. Auto-capture and auto-recall, where memory reaches the context with no explicit tool call, are planned but not yet built.
@@ -27,7 +27,7 @@ See [DeepSeek Harness](/integrations/dsh-mem0) for setup and [SDK & Tools](/chan

 **Strands Agents: Mem0 as a Native MemoryStore**

-[`strands-mem0`](https://pypi.org/project/strands-mem0/) plugs Mem0 into AWS's [Strands Agents](https://strandsagents.com/) SDK as a native `MemoryStore`, so recall and writes happen inside the agent loop rather than as tool calls the model has to remember to make.
+[`mem0-strands`](https://pypi.org/project/mem0-strands/) plugs Mem0 into AWS's [Strands Agents](https://strandsagents.com/) SDK as a native `MemoryStore`, so recall and writes happen inside the agent loop rather than as tool calls the model has to remember to make.

 - **Automatic recall:** The `MemoryManager` drives the store on every turn, searching Mem0 and injecting the results into the prompt with no tool call required.
 - **Server-side extraction:** Because the store implements `add_messages`, enabling extraction routes raw conversation turns straight to Mem0's extraction pipeline, skipping the extra client-side model call needed to distill facts first.
@@ -2841,9 +2841,16 @@ Existing memories written by the previous versions are not rewritten. If your me

 <Tab title="Strands">

-<Update label="2026-08-24" description="strands-mem0 v0.1.0">
+<Update label="2026-08-25" description="mem0-strands v0.1.1">

-**Initial release** of [`strands-mem0`](https://pypi.org/project/strands-mem0/), a native `MemoryStore` that plugs Mem0 into the [Strands Agents](https://strandsagents.com/) `MemoryManager` ([#7021](https://github.com/mem0ai/mem0/pull/7021))
+**New Features:**
+- **Usage telemetry:** Anonymous usage events (`strands.store.init`, `strands.store.search`, `strands.store.add`, `strands.store.add_messages`) ride the Mem0 SDK's existing PostHog client, unsampled, with no new dependency. Events carry only counts, durations, booleans, and coarse failure kinds: never queries, memory text, message content, entity ids, metadata, or API keys. Opt out with `MEM0_TELEMETRY=false` ([#7110](https://github.com/mem0ai/mem0/pull/7110))
+
+</Update>
+
+<Update label="2026-08-24" description="mem0-strands v0.1.0">
+
+**Initial release** of [`mem0-strands`](https://pypi.org/project/mem0-strands/), a native `MemoryStore` that plugs Mem0 into the [Strands Agents](https://strandsagents.com/) `MemoryManager` ([#7021](https://github.com/mem0ai/mem0/pull/7021))

 **New Features:**
 - **Automatic recall and injection:** `Mem0MemoryStore.search()` runs every turn through the `MemoryManager`, so relevant memories are searched and prepended to the prompt with no explicit tool call required.
@@ -2863,9 +2870,16 @@ Existing memories written by the previous versions are not rewritten. If your me

 <Tab title="DeepSeek Harness">

-<Update label="2026-08-24" description="dsh-mem0 v0.1.0">
+<Update label="2026-08-25" description="deepseek-plugin v0.1.1">

-**Initial release** of [`dsh-mem0`](https://www.npmjs.com/package/@mem0/dsh-mem0), a native DeepSeek Harness (Cordis) plugin that registers Mem0 as two agent-callable tools ([#7027](https://github.com/mem0ai/mem0/pull/7027))
+**New Features:**
+- **Usage telemetry:** Anonymous usage events (`deepseek.plugin.mounted`, `deepseek.tool.search_memory`, `deepseek.tool.add_memory`) are batched to PostHog over native fetch and flushed in the background. Events carry only tool names, durations, counts, and coarse failure kinds: never queries, memory text, filters, or API keys. Opt out with `MEM0_TELEMETRY=false` ([#7110](https://github.com/mem0ai/mem0/pull/7110))
+
+</Update>
+
+<Update label="2026-08-24" description="deepseek-plugin v0.1.0">
+
+**Initial release** of [`deepseek-plugin`](https://www.npmjs.com/package/@mem0/deepseek-plugin), a native DeepSeek Harness (Cordis) plugin that registers Mem0 as two agent-callable tools ([#7027](https://github.com/mem0ai/mem0/pull/7027))

 **New Features:**
 - **`search_memory`:** Recalls facts relevant to a query, with an optional `limit` (default 10) and per-call `userId` / `agentId` / `runId` scope overrides.
@@ -2874,7 +2888,7 @@ Existing memories written by the previous versions are not rewritten. If your me
 - **Config:** `userId` is required; `apiKey` defaults to `$MEM0_API_KEY`; `host` optionally points at a dedicated Mem0 Platform base URL (not a switch to self-hosted Mem0 OSS).

 <Note>
-  Developer preview: auto-capture and auto-recall (memory injected into context automatically, without an explicit tool call) are planned but not yet built. The backend's `KNOWN_EVENT_SOURCES` allowlist also needs `"DEEPSEEK_HARNESS"` added before usage surfaces by name in telemetry rather than bucketing into "OTHERS". See [DeepSeek Harness](/integrations/dsh-mem0) for setup.
+  Developer preview: auto-capture and auto-recall (memory injected into context automatically, without an explicit tool call) are planned but not yet built. The backend's `KNOWN_EVENT_SOURCES` allowlist also needs `"DEEPSEEK_HARNESS"` added before usage surfaces by name in telemetry rather than bucketing into "OTHERS". See [DeepSeek Harness](/integrations/deepseek-plugin) for setup.
 </Note>

 </Update>
@@ -325,6 +325,7 @@
                      "integrations/google-ai-adk",
                      "integrations/mastra",
                      "integrations/vercel-ai-sdk",
+                      "integrations/vercel",
                      "integrations/chatdev",
                      "integrations/strands"
                    ]
@@ -383,7 +384,7 @@
                      "integrations/openclaw",
                      "integrations/hermes",
                      "integrations/pi-agent",
-                      "integrations/dsh-mem0"
+                      "integrations/deepseek-plugin"
                    ]
                  }
                ]
@@ -3,7 +3,7 @@ title: DeepSeek Harness
 description: "Add persistent Mem0 memory to the DeepSeek Harness (Cordis) agent with two native tools: search and add."
 ---

-Add persistent memory to the [**DeepSeek Harness**](https://github.com/deepseek-ai/deepseek-harness) with `@mem0/dsh-mem0`. The Harness agent forgets everything between sessions. This plugin gives it two Mem0-backed tools so recall and writes persist across runs, sharing the same memory bank you already use from Claude Code, Codex, and other agents.
+Add persistent memory to the [**DeepSeek Harness**](https://github.com/deepseek-ai/deepseek-harness) with `@mem0/deepseek-plugin`. The Harness agent forgets everything between sessions. This plugin gives it two Mem0-backed tools so recall and writes persist across runs, sharing the same memory bank you already use from Claude Code, Codex, and other agents.

 ## Overview

@@ -23,8 +23,8 @@ A Cordis plugin is a module exporting `apply(ctx, config)`. This one declares `i
 ## Prerequisites

 1. A Mem0 Platform account and API key:
-   - <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-dsh-mem0" rel="nofollow">Sign up at app.mem0.ai</a>
-   - <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-dsh-mem0" rel="nofollow">Get your API key</a> (starts with `m0-`)
+   - <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-deepseek-plugin" rel="nofollow">Sign up at app.mem0.ai</a>
+   - <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-deepseek-plugin" rel="nofollow">Get your API key</a> (starts with `m0-`)

 2. The DeepSeek Harness installed.

@@ -46,14 +46,14 @@ source ~/.bashrc

 1. Build the plugin:
   ```sh
-   cd integrations/dsh-mem0
+   cd integrations/deepseek-plugin
   pnpm install
   pnpm build
   ```

 2. Point the Harness at it. Copy `cordis.example.yml`, set the absolute path to `dist/index.js` and your `userId`, then load it:
   ```sh
-   pnpm dsh web --patch ./integrations/dsh-mem0/cordis.example.yml
+   pnpm dsh web --patch ./integrations/deepseek-plugin/cordis.example.yml
   ```

 3. Open the web UI and ask the agent to remember something, then recall it in a later turn.
@@ -65,7 +65,7 @@ The `cordis.yml` entry looks like this:
 - name: "@deepseek-ai/dsh-tools"
 - insert:
    - id: mem0
-      name: "/absolute/path/to/integrations/dsh-mem0/dist/index.js"
+      name: "/absolute/path/to/integrations/deepseek-plugin/dist/index.js"
      config:
        # apiKey is read from MEM0_API_KEY when omitted here.
        userId: "your-user-id"
@@ -3,7 +3,7 @@ title: Strands Agents
 description: "Add persistent long-term memory to AWS Strands agents with Mem0, as a native MemoryStore that plugs into the agent loop."
 ---

-Integrate [**Mem0**](https://github.com/mem0ai/mem0) with [Strands Agents](https://github.com/strands-agents/sdk-python), AWS's open-source SDK for building AI agents. The [`strands-mem0`](https://github.com/mem0ai/mem0/tree/main/integrations/strands-mem0) package ships a native `MemoryStore`, so recall and writes happen automatically inside the agent loop, not as tool calls the model has to remember.
+Integrate [**Mem0**](https://github.com/mem0ai/mem0) with [Strands Agents](https://github.com/strands-agents/sdk-python), AWS's open-source SDK for building AI agents. The [`mem0-strands`](https://github.com/mem0ai/mem0/tree/main/integrations/mem0-strands) package ships a native `MemoryStore`, so recall and writes happen automatically inside the agent loop, not as tool calls the model has to remember.

 ## Overview

@@ -17,7 +17,7 @@ Before setting up Mem0 with Strands, ensure you have:

 1. Installed the required packages:
 ```bash
-pip install strands-mem0
+pip install mem0-strands
 ```

 2. A valid API key:
@@ -31,7 +31,7 @@ Hand a `Mem0MemoryStore` to a `MemoryManager`, and the agent gets automatic reca
 import os
 from strands import Agent
 from strands.memory import MemoryManager
-from strands_mem0 import Mem0MemoryStore
+from mem0_strands import Mem0MemoryStore

 os.environ["MEM0_API_KEY"] = "your-mem0-api-key"

@@ -65,5 +65,5 @@ If you want the model to call memory explicitly instead of (or alongside) the au

 ## Learn more

- [strands-mem0 on GitHub](https://github.com/mem0ai/mem0/tree/main/integrations/strands-mem0)
+- [mem0-strands on GitHub](https://github.com/mem0ai/mem0/tree/main/integrations/mem0-strands)
 - [Strands Agents documentation](https://strandsagents.com)
@@ -0,0 +1,130 @@
+---
+title: Vercel
+description: "Add persistent memory to your Vercel apps with the Mem0 Vercel Marketplace integration. Install from the Marketplace, get an API key, and start building."
+---
+
+The **Mem0 Vercel integration** provisions managed Mem0 access directly from the [Vercel Marketplace](https://vercel.com/marketplace). Installing it creates a Mem0 account for you and injects a `MEM0_API_KEY` into your Vercel project, so you can add long-term memory to your AI apps and agents in minutes, with no separate signup and billing handled through Vercel.
+
+<Note type="info">
+  This is the managed Marketplace integration. If you instead want to use Mem0 with the Vercel AI SDK in code, see [Vercel AI SDK](/integrations/vercel-ai-sdk).
+</Note>
+
+## Overview
+
+When you install Mem0 from the Vercel Marketplace:
+
+- A Mem0 account and project are created for you (Vercel Native).
+- Mem0 environment variables (`MEM0_API_KEY`, `MEM0_ORG_ID`, `MEM0_PROJECT_ID`, `MEM0_BASE_URL`) are added to your connected Vercel project.
+- Billing is handled through your Vercel account, with no separate Mem0 subscription.
+
+You call Mem0 from your app with the injected key. There is nothing else to wire up.
+
+## Install
+
+<Steps>
+  <Step title="Add the integration">
+    From the [Vercel Marketplace](https://vercel.com/marketplace), find **Mem0** and click **Install**. Choose **Create New Mem0 Account** (Vercel Native).
+  </Step>
+  <Step title="Pick a plan">
+    Select **Hobby** (free) or **Starter** ($20/month). You can change this anytime from the installation settings in your Vercel dashboard.
+  </Step>
+  <Step title="Connect a project">
+    Connect the Mem0 resource to a Vercel project. Mem0 injects its environment variables into that project.
+  </Step>
+  <Step title="Redeploy">
+    Redeploy so the variables are available at runtime, or run `vercel env pull` to use them locally.
+  </Step>
+</Steps>
+
+## Environment variables
+
+The integration sets the following on your connected project:
+
+| Variable | Description |
+| --- | --- |
+| `MEM0_API_KEY` | Your Mem0 API key, scoped to the org and project created for this installation. This is what you authenticate with. |
+| `MEM0_ORG_ID` | The Mem0 organization id for this installation. |
+| `MEM0_PROJECT_ID` | The Mem0 project id for this installation. |
+| `MEM0_BASE_URL` | The Mem0 API base URL (`https://api.mem0.ai`). |
+
+The API key is scoped to your org and project, so the SDK needs only `MEM0_API_KEY` to get started.
+
+## Quickstart
+
+Install the SDK:
+
+<CodeGroup>
+```bash npm
+npm install mem0ai
+```
+
+```bash pip
+pip install mem0ai
+```
+</CodeGroup>
+
+Add and search memories using the injected key:
+
+<CodeGroup>
+```typescript JavaScript
+import MemoryClient from "mem0ai";
+
+const memory = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
+
+// Store a memory
+await memory.add(
+  [{ role: "user", content: "I'm a vegetarian and allergic to nuts." }],
+  { userId: "user123" },
+);
+
+// Retrieve relevant memories
+const results = await memory.search("What are my dietary restrictions?", {
+  filters: { user_id: "user123" },
+});
+console.log(results);
+```
+
+```python Python
+import os
+from mem0 import MemoryClient
+
+memory = MemoryClient(api_key=os.environ["MEM0_API_KEY"])
+
+# Store a memory
+memory.add(
+    [{"role": "user", "content": "I'm a vegetarian and allergic to nuts."}],
+    user_id="user123",
+)
+
+# Retrieve relevant memories
+results = memory.search("What are my dietary restrictions?", filters={"user_id": "user123"})
+print(results)
+```
+</CodeGroup>
+
+See the [platform quickstart](/platform/quickstart) for the full API.
+
+## Plans and billing
+
+| Plan | Price | Memories | Retrieval calls | Projects | Support |
+| --- | --- | --- | --- | --- | --- |
+| Hobby | Free | 10,000 | 1,000 / month | 1 | Community |
+| Starter | $20 / month | 50,000 | 5,000 / month | 1 | Community |
+
+Billing runs through your Vercel account; Mem0 never charges your card directly. You can upgrade or downgrade anytime from the installation's settings in the Vercel dashboard.
+
+## Managing the integration
+
+- **Change plan:** open the installation in your Vercel dashboard and update the billing plan.
+- **Open in Mem0:** use the **Open in Mem0** link to sign in to the Mem0 dashboard for this installation.
+- **Uninstall:** removing the integration deactivates the API key and tears down the resource. Any usage for the current period is invoiced before removal.
+
+## Notes
+
+- The integration creates a **new** Mem0 account for the installation. Linking an existing Mem0 account is not supported yet.
+- The injected `MEM0_API_KEY` is scoped to the org and project created for this installation, so you do not manage keys by hand.
+
+## Related
+
+- [Platform quickstart](/platform/quickstart)
+- [Vercel AI SDK integration](/integrations/vercel-ai-sdk)
@@ -257,12 +257,13 @@ If the user is on a pre-current major (Python < 2, TS < 3, or a Platform call st
 - [ChatDev](https://docs.mem0.ai/integrations/chatdev) [Platform]: Use when the user is on ChatDev.
 - [Hermes](https://docs.mem0.ai/integrations/hermes) [Both]: Use when the user is on Hermes.
 - [Pi Agent](https://docs.mem0.ai/integrations/pi-agent) [Platform]: Use when adding persistent memory to Pi Agent with the Mem0 plugin.
- [DeepSeek Harness](https://docs.mem0.ai/integrations/dsh-mem0) [Platform]: Use when adding persistent memory to the DeepSeek Harness (Cordis) agent via the Mem0 plugin.
+- [DeepSeek Harness](https://docs.mem0.ai/integrations/deepseek-plugin) [Platform]: Use when adding persistent memory to the DeepSeek Harness (Cordis) agent via the Mem0 plugin.
 - [OpenAI Agents SDK](https://docs.mem0.ai/integrations/openai-agents-sdk) [Platform]: Use when the user is on the OpenAI Agents SDK.
 - [Google AI ADK](https://docs.mem0.ai/integrations/google-ai-adk) [Platform]: Use when the user is on Google's Agent Development Kit.
 - [Mastra](https://docs.mem0.ai/integrations/mastra) [Platform]: Use when the user is on Mastra (TypeScript).
 - [OpenClaw](https://docs.mem0.ai/integrations/openclaw) [Both]: Use when wiring Mem0 into Claude Code or editors via OpenClaw.
 - [Vercel AI SDK](https://docs.mem0.ai/integrations/vercel-ai-sdk) [Both]: Use when the user is on the Vercel AI SDK.
+- [Vercel](https://docs.mem0.ai/integrations/vercel) [Platform]: Use when deploying on Vercel and installing Mem0 from the Vercel Marketplace.
 - [Strands Agents](https://docs.mem0.ai/integrations/strands) [Both]: Use when the user is on AWS Strands and wants a native MemoryStore.

 ### AI Coding Tools
@@ -9,12 +9,12 @@ Agent and editor integrations. Each subdirectory is self-contained: its own `pac
 | `mem0-plugin/` | Claude Code / Cursor / Codex plugin | none | none | pytest |
 | `mem0-plugin/.opencode-plugin/` | `@mem0/opencode-plugin` | Bun | none | tsc type-check |
 | `pi-agent-plugin/` | `@mem0/pi-agent-plugin` | tsup | none | vitest |
-| `dsh-mem0/` | `@mem0/dsh-mem0` | tsup (ESM) | none | vitest |
+| `deepseek-plugin/` | `@mem0/deepseek-plugin` | tsup (ESM) | none | vitest |
 | `n8n-nodes-mem0/` | `@mem0/n8n-nodes-mem0` | tsc | ESLint (n8n-nodes-base) | none |
 | `zapier-mem0/` | `@mem0/zapier` | tsc | none | offline unit tests + `zapier validate` |
-| `strands-mem0/` | `strands-mem0` (PyPI) | hatch | Ruff + mypy | pytest |
+| `mem0-strands/` | `mem0-strands` (PyPI) | hatch | Ruff + mypy | pytest |

-pnpm everywhere except `.opencode-plugin/` (Bun) and `strands-mem0/` (Python: pip / hatch). Never npm, never yarn.
+pnpm everywhere except `.opencode-plugin/` (Bun) and `mem0-strands/` (Python: pip / hatch). Never npm, never yarn.

 ## Commands

@@ -41,10 +41,10 @@ Run the type check after every TypeScript change: `pnpm run typecheck` or `tsc -

 - **`vercel-ai-sdk/`** wraps the Vercel AI SDK through a `createMem0` provider. Integrations for AI-SDK repos go through this wrapper, not raw `MemoryClient`.
 - **`mem0-plugin/`** connects Claude Code, Cursor, and Codex to the MCP server at `mcp.mem0.ai` and installs lifecycle hooks for automatic memory capture. Exposes 9 MCP tools: `add_memory`, `search_memories`, `get_memories`, `get_memory`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities`.
- **`openclaw/`**, **`pi-agent-plugin/`**, **`dsh-mem0/`** are editor and agent plugins with the same shape. `dsh-mem0/` registers Mem0 search/add tools as a native DeepSeek Harness (Cordis) plugin.
+- **`openclaw/`**, **`pi-agent-plugin/`**, **`deepseek-plugin/`** are editor and agent plugins with the same shape. `deepseek-plugin/` registers Mem0 search/add tools as a native DeepSeek Harness (Cordis) plugin.
 - **`n8n-nodes-mem0/`** is an n8n community node: add, search, get, update, delete.
 - **`zapier-mem0/`** is a Zapier Platform CLI app: add, search, get, delete. It deploys to Zapier, not npm, so it is **not** in the release router. Deploy it with `gh workflow run zapier-mem0-cd.yml --ref main` (needs the `ZAPIER_DEPLOY_KEY` secret).
- **`strands-mem0/`** is a native Strands `MemoryStore` (Python, published to PyPI as `strands-mem0`). It plugs into the Strands `MemoryManager` for automatic recall and server-side extraction, over the hosted Mem0 platform or self-hosted Mem0 OSS. The package lives under `strands-mem0/python/`.
+- **`mem0-strands/`** is a native Strands `MemoryStore` (Python, published to PyPI as `mem0-strands`). It plugs into the Strands `MemoryManager` for automatic recall and server-side extraction, over the hosted Mem0 platform or self-hosted Mem0 OSS. The package lives under `mem0-strands/python/`.

 ## Adding an integration

@@ -1,4 +1,4 @@
-# dsh-mem0
+# deepseek-plugin

 [Mem0](https://mem0.ai) long-term memory as a native [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) (Cordis) plugin.

@@ -18,7 +18,7 @@ A Cordis plugin is a module exporting `apply(ctx, config)`. This one declares `i
 ```
 [ mem0ai SDK ]  <-- managed memory, owned by Mem0
      |
-[ dsh-mem0: apply(ctx) -> ctx.tools.register(...) ]  <-- this package
+[ deepseek-plugin: apply(ctx) -> ctx.tools.register(...) ]  <-- this package
      |
 [ DeepSeek Harness ]  <-- the agent, loaded via cordis.yml
 ```
@@ -27,7 +27,7 @@ A Cordis plugin is a module exporting `apply(ctx, config)`. This one declares `i

 1. Build the plugin:
   ```sh
-   cd integrations/dsh-mem0
+   cd integrations/deepseek-plugin
   pnpm install
   pnpm build
   ```
@@ -37,7 +37,7 @@ A Cordis plugin is a module exporting `apply(ctx, config)`. This one declares `i
   ```
 3. Point Harness at it. Copy `cordis.example.yml`, set the absolute path to `dist/index.js` and your `userId`, then:
   ```sh
-   pnpm dsh web --patch ./integrations/dsh-mem0/cordis.example.yml
+   pnpm dsh web --patch ./integrations/deepseek-plugin/cordis.example.yml
   ```
 4. Open http://127.0.0.1:3080 and ask the agent to remember something, then recall it in a later turn.

@@ -55,6 +55,8 @@ For a Mem0 Platform on-prem or dedicated deployment, point `config.host` at that

 Writes are tagged `source="DEEPSEEK_HARNESS"` so Mem0's backend can attribute usage to this integration. For it to surface by name (rather than bucketing into `OTHERS`), `DEEPSEEK_HARNESS` must be present in the backend's `KNOWN_EVENT_SOURCES` allowlist, a one-line platform change matching the existing `ZAPIER` / `STRANDS` sources.

+The plugin also sends anonymous usage events (which tool ran, duration, result counts, coarse failure kind) so Mem0 can tell how the plugin is used and where it breaks. Queries, memory text, and entity ids are never sent. Turn it off with `MEM0_TELEMETRY=false`.
+
 ## Status

 Developer preview. Tracks the DeepSeek Harness v0.1 plugin API (`@deepseek-ai/cordis`, `@deepseek-ai/dsh-tools`), which is young and moving; pin versions once it stabilizes. Auto-capture (store turns without an explicit tool call) and auto-recall (inject memory into the prompt at assembly) are planned once the harness session/assembly event API is confirmed.
@@ -1,7 +1,7 @@
-# Example DeepSeek Harness config that loads dsh-mem0 alongside the built-in
+# Example DeepSeek Harness config that loads deepseek-plugin alongside the built-in
 # tools plugin. Load with:
 #
-#   pnpm dsh web --patch ./integrations/dsh-mem0/cordis.example.yml
+#   pnpm dsh web --patch ./integrations/deepseek-plugin/cordis.example.yml
 #
 # The tools plugin (and its system-prompt dependency) must be present, because
 # the memory tools contribute schemas the system prompt renders.
@@ -12,7 +12,7 @@
    - id: mem0
      # Absolute path to the built plugin (run `pnpm build` first), or point
      # at src/index.ts when running through tsx during development.
-      name: "/absolute/path/to/mem0/integrations/dsh-mem0/dist/index.js"
+      name: "/absolute/path/to/mem0/integrations/deepseek-plugin/dist/index.js"
      config:
        # apiKey is read from the MEM0_API_KEY env var when omitted here.
        userId: "your-user-id"
@@ -1,13 +1,13 @@
 {
-  "name": "@mem0/dsh-mem0",
-  "version": "0.1.0",
+  "name": "@mem0/deepseek-plugin",
+  "version": "0.1.1",
  "description": "Mem0 long-term memory as a native DeepSeek Harness (Cordis) plugin.",
  "type": "module",
  "license": "Apache-2.0",
  "repository": {
    "type": "git",
    "url": "https://github.com/mem0ai/mem0",
-    "directory": "integrations/dsh-mem0"
+    "directory": "integrations/deepseek-plugin"
  },
  "keywords": [
    "deepseek-harness",
@@ -1,5 +1,5 @@
 /**
- * dsh-mem0: Mem0 long-term memory as a native DeepSeek Harness (Cordis) plugin.
+ * deepseek-plugin: Mem0 long-term memory as a native DeepSeek Harness (Cordis) plugin.
 *
 * Registers two agent-callable tools backed by the Mem0 SDK:
 *   - `search_memory` recalls facts relevant to a query
@@ -16,6 +16,7 @@ import { MemoryClient } from "mem0ai";
 import { formatMemoryList, formatAddResult } from "./formatting.ts";
 import { truncateOutput } from "./output.ts";
 import { resolveSearchFilters, resolveAddParams } from "./scoping.ts";
+import { captureEvent, errorKind } from "./telemetry.ts";

 export const name = "mem0";
 export const inject = ["tools"];
@@ -69,11 +70,11 @@ const scopeParams = {
 export function apply(ctx: Context, config: Config): void {
  const apiKey = config.apiKey ?? process.env.MEM0_API_KEY;
  if (!apiKey) {
-    throw new Error("dsh-mem0: set config.apiKey or the MEM0_API_KEY env var");
+    throw new Error("deepseek-plugin: set config.apiKey or the MEM0_API_KEY env var");
  }
  const userId = config.userId;
  if (!userId) {
-    throw new Error("dsh-mem0: config.userId is required");
+    throw new Error("deepseek-plugin: config.userId is required");
  }

  const client = new MemoryClient({
@@ -81,6 +82,8 @@ export function apply(ctx: Context, config: Config): void {
    ...(config.host ? { host: config.host } : {}),
  });

+  captureEvent("deepseek.plugin.mounted", { has_host: Boolean(config.host) }, client);
+
  // Recall. The platform rejects top-level entity params on search, so scope
  // goes inside `filters` (unlike add below, which takes them top-level).
  ctx.tools.register(
@@ -99,11 +102,36 @@ export function apply(ctx: Context, config: Config): void {
      output: textOutput,
      async execute({ query, limit, userId: u, agentId, runId }) {
        const filters = resolveSearchFilters({ userId: u, agentId, runId }, userId);
+        const topK = limit && limit > 0 ? limit : DEFAULT_SEARCH_LIMIT;
+        const started = Date.now();
        try {
-          const topK = limit && limit > 0 ? limit : DEFAULT_SEARCH_LIMIT;
          const { results } = await client.search(query, { filters, topK });
+          captureEvent(
+            "deepseek.tool.search_memory",
+            {
+              success: true,
+              duration_ms: Date.now() - started,
+              top_k: topK,
+              result_count: results?.length ?? 0,
+              query_chars: query.length,
+              scope_overridden: Boolean(u && u !== userId),
+              has_agent_id: Boolean(agentId),
+              has_run_id: Boolean(runId),
+            },
+            client,
+          );
          return truncateOutput(formatMemoryList(results ?? []));
        } catch (err) {
+          captureEvent(
+            "deepseek.tool.search_memory",
+            {
+              success: false,
+              duration_ms: Date.now() - started,
+              top_k: topK,
+              error_kind: errorKind(err),
+            },
+            client,
+          );
          return `search_memory failed: ${err instanceof Error ? err.message : String(err)}`;
        }
      },
@@ -123,13 +151,37 @@ export function apply(ctx: Context, config: Config): void {
      output: textOutput,
      async execute({ text, userId: u, agentId, runId }) {
        const addParams = resolveAddParams({ userId: u, agentId, runId }, userId);
+        const started = Date.now();
        try {
          const result = await client.add([{ role: "user", content: text }], {
            ...addParams,
            source: SOURCE,
          });
+          captureEvent(
+            "deepseek.tool.add_memory",
+            {
+              success: true,
+              duration_ms: Date.now() - started,
+              text_chars: text.length,
+              memory_count: Array.isArray(result) ? result.length : 0,
+              scope_overridden: Boolean(u && u !== userId),
+              has_agent_id: Boolean(agentId),
+              has_run_id: Boolean(runId),
+            },
+            client,
+          );
          return truncateOutput(formatAddResult(result));
        } catch (err) {
+          captureEvent(
+            "deepseek.tool.add_memory",
+            {
+              success: false,
+              duration_ms: Date.now() - started,
+              text_chars: text.length,
+              error_kind: errorKind(err),
+            },
+            client,
+          );
          return `add_memory failed: ${err instanceof Error ? err.message : String(err)}`;
        }
      },
@@ -0,0 +1,173 @@
+/**
+ * Anonymous usage telemetry for the DeepSeek Harness plugin.
+ *
+ * Fire-and-forget PostHog events over native fetch, batched and flushed every
+ * 5 seconds, at 10 queued events, or on process exit. Never throws, never logs.
+ *
+ * Events carry only tool names, durations, counts, and coarse failure kinds:
+ * never queries, memory text, filters, or API keys.
+ *
+ * Disable with MEM0_TELEMETRY=false.
+ */
+import { randomUUID } from "node:crypto";
+import * as fs from "node:fs";
+import * as os from "node:os";
+import * as path from "node:path";
+
+const POSTHOG_API_KEY = "phc_hgJkUVJFYtmaJqrvf6CYN67TIQ8yhXAkWzUn9AMU4yX";
+const POSTHOG_BATCH_URL = "https://us.i.posthog.com/batch/";
+const FLUSH_INTERVAL_MS = 5_000;
+const FLUSH_THRESHOLD = 10;
+const SEND_TIMEOUT_MS = 3_000;
+
+const PLUGIN_VERSION = ((): string => {
+  try {
+    return JSON.parse(
+      fs.readFileSync(new URL("../package.json", import.meta.url), "utf-8"),
+    ).version;
+  } catch {
+    return "unknown";
+  }
+})();
+
+/** The Mem0 SDK resolves this to the account email once ping() lands, so events join other Mem0 surfaces. */
+export interface TelemetryIdentity {
+  telemetryId?: string;
+}
+
+let queue: Record<string, unknown>[] = [];
+let flushTimer: ReturnType<typeof setInterval> | undefined;
+let exitHandlerInstalled = false;
+let cachedAnonymousId: string | undefined;
+let identified = false;
+
+function identityPath(): string {
+  return path.join(os.homedir(), ".mem0", "deepseek-plugin-telemetry.json");
+}
+
+export function isTelemetryEnabled(): boolean {
+  const value = process.env.MEM0_TELEMETRY?.toLowerCase();
+  return value !== "false" && value !== "0" && value !== "no" && value !== "off";
+}
+
+function anonymousId(): string {
+  if (cachedAnonymousId) return cachedAnonymousId;
+  try {
+    const stored = JSON.parse(fs.readFileSync(identityPath(), "utf-8"));
+    if (typeof stored.anonymousId === "string" && stored.anonymousId) {
+      cachedAnonymousId = stored.anonymousId;
+      return cachedAnonymousId!;
+    }
+  } catch {
+    /* first run, or an unreadable identity file */
+  }
+  const created = `deepseek-anon-${randomUUID().replace(/-/g, "")}`;
+  try {
+    const target = identityPath();
+    fs.mkdirSync(path.dirname(target), { recursive: true });
+    fs.writeFileSync(target, JSON.stringify({ anonymousId: created }), "utf-8");
+  } catch {
+    /* an unwritable home directory must not break the plugin */
+  }
+  cachedAnonymousId = created;
+  return created;
+}
+
+/** Merge the pre-ping anonymous history into the account once the email resolves. */
+function identifyEvent(distinctId: string): Record<string, unknown> | undefined {
+  if (identified || distinctId.startsWith("deepseek-anon-")) return undefined;
+  identified = true;
+  let storedAnonymousId: string | undefined;
+  try {
+    storedAnonymousId = JSON.parse(fs.readFileSync(identityPath(), "utf-8")).anonymousId;
+    fs.unlinkSync(identityPath());
+  } catch {
+    return undefined;
+  }
+  cachedAnonymousId = undefined;
+  if (!storedAnonymousId) return undefined;
+  return {
+    event: "$identify",
+    distinct_id: distinctId,
+    properties: { $anon_distinct_id: storedAnonymousId, $lib: "posthog-node" },
+  };
+}
+
+export function flushEvents(): void {
+  if (queue.length === 0) return;
+  const batch = queue;
+  queue = [];
+  fetch(POSTHOG_BATCH_URL, {
+    method: "POST",
+    headers: { "Content-Type": "application/json" },
+    body: JSON.stringify({ api_key: POSTHOG_API_KEY, batch }),
+    signal: AbortSignal.timeout(SEND_TIMEOUT_MS),
+  }).catch(() => {
+    /* telemetry never surfaces its own failures */
+  });
+}
+
+function scheduleFlush(): void {
+  if (!flushTimer) {
+    flushTimer = setInterval(flushEvents, FLUSH_INTERVAL_MS);
+    flushTimer.unref?.();
+  }
+  if (!exitHandlerInstalled) {
+    exitHandlerInstalled = true;
+    process.on("beforeExit", flushEvents);
+  }
+}
+
+export function errorKind(error: unknown): string {
+  const text = (error instanceof Error ? error.message : String(error)).toLowerCase();
+  if (text.includes("timeout") || text.includes("aborted")) return "timeout";
+  if (text.includes("401") || text.includes("403") || text.includes("unauthor")) return "auth";
+  if (text.includes("429") || text.includes("rate limit")) return "rate-limited";
+  if (/50[0234]/.test(text)) return "server-error";
+  if (text.includes("400") || text.includes("422")) return "bad-request";
+  if (text.includes("fetch failed") || text.includes("enotfound")) return "network";
+  return error instanceof Error ? error.constructor.name : "other";
+}
+
+export function captureEvent(
+  event: string,
+  properties: Record<string, unknown>,
+  client: TelemetryIdentity,
+): void {
+  if (!isTelemetryEnabled()) return;
+  try {
+    const distinctId = client.telemetryId || anonymousId();
+    const identify = identifyEvent(distinctId);
+    if (identify) queue.push(identify);
+    queue.push({
+      event,
+      distinct_id: distinctId,
+      properties: {
+        source: "DEEPSEEK_HARNESS",
+        language: "node",
+        plugin_version: PLUGIN_VERSION,
+        node_version: process.version,
+        os: process.platform,
+        $process_person_profile: false,
+        $lib: "posthog-node",
+        ...properties,
+      },
+    });
+    scheduleFlush();
+    if (queue.length >= FLUSH_THRESHOLD) flushEvents();
+  } catch {
+    /* telemetry never breaks a tool call */
+  }
+}
+
+export function _queueForTesting(): Record<string, unknown>[] {
+  return queue;
+}
+
+export function _resetForTesting(): void {
+  queue = [];
+  clearInterval(flushTimer);
+  flushTimer = undefined;
+  cachedAnonymousId = undefined;
+  identified = false;
+}
@@ -35,9 +35,12 @@ function applyAndCollect(config: Config): Map<string, RegisteredTool> {
 }

 let savedKey: string | undefined;
+let savedTelemetry: string | undefined;

 beforeEach(() => {
  savedKey = process.env.MEM0_API_KEY;
+  savedTelemetry = process.env.MEM0_TELEMETRY;
+  process.env.MEM0_TELEMETRY = "false";
  mockSearch.mockReset();
  mockAdd.mockReset();
 });
@@ -45,6 +48,8 @@ beforeEach(() => {
 afterEach(() => {
  if (savedKey === undefined) delete process.env.MEM0_API_KEY;
  else process.env.MEM0_API_KEY = savedKey;
+  if (savedTelemetry === undefined) delete process.env.MEM0_TELEMETRY;
+  else process.env.MEM0_TELEMETRY = savedTelemetry;
 });

 describe("apply() config validation", () => {
@@ -0,0 +1,218 @@
+import { describe, it, expect, vi, beforeEach, afterEach } from "vitest";
+import * as fs from "node:fs";
+import * as os from "node:os";
+import * as path from "node:path";
+
+const mockSearch = vi.fn();
+const mockAdd = vi.fn();
+vi.mock("mem0ai", () => ({
+  MemoryClient: class {
+    telemetryId = "dev@example.com";
+    search = mockSearch;
+    add = mockAdd;
+  },
+}));
+vi.mock("@deepseek-ai/dsh-tools", () => ({ defineTool: (options: unknown) => options }));
+
+import { apply, type Config } from "../src/index.ts";
+import {
+  captureEvent,
+  errorKind,
+  flushEvents,
+  isTelemetryEnabled,
+  _queueForTesting,
+  _resetForTesting,
+} from "../src/telemetry.ts";
+
+interface RegisteredTool {
+  name: string;
+  execute(args: unknown, exec: unknown): Promise<unknown>;
+}
+
+function applyAndCollect(config: Config): Map<string, RegisteredTool> {
+  const tools = new Map<string, RegisteredTool>();
+  apply({ tools: { register: (t: RegisteredTool) => tools.set(t.name, t) } } as never, config);
+  return tools;
+}
+
+function queued(): Record<string, any>[] {
+  return _queueForTesting() as Record<string, any>[];
+}
+
+let home: string;
+let savedHome: string | undefined;
+let savedTelemetry: string | undefined;
+
+beforeEach(() => {
+  savedHome = process.env.HOME;
+  savedTelemetry = process.env.MEM0_TELEMETRY;
+  delete process.env.MEM0_TELEMETRY;
+  home = fs.mkdtempSync(path.join(os.tmpdir(), "mem0-deepseek-"));
+  process.env.HOME = home;
+  vi.stubGlobal("fetch", vi.fn().mockResolvedValue({ ok: true }));
+  mockSearch.mockReset();
+  mockAdd.mockReset();
+  _resetForTesting();
+});
+
+afterEach(() => {
+  _resetForTesting();
+  vi.unstubAllGlobals();
+  fs.rmSync(home, { recursive: true, force: true });
+  if (savedHome === undefined) delete process.env.HOME;
+  else process.env.HOME = savedHome;
+  if (savedTelemetry === undefined) delete process.env.MEM0_TELEMETRY;
+  else process.env.MEM0_TELEMETRY = savedTelemetry;
+});
+
+describe("opt-out", () => {
+  it("queues nothing for every documented off value", () => {
+    for (const value of ["false", "0", "no", "OFF"]) {
+      process.env.MEM0_TELEMETRY = value;
+      expect(isTelemetryEnabled()).toBe(false);
+      captureEvent("deepseek.tool.search_memory", {}, { telemetryId: "dev@example.com" });
+    }
+    expect(queued()).toHaveLength(0);
+  });
+
+  it("is on by default", () => {
+    expect(isTelemetryEnabled()).toBe(true);
+  });
+});
+
+describe("identity", () => {
+  it("keys events on the account email the SDK resolved", () => {
+    captureEvent("deepseek.tool.add_memory", {}, { telemetryId: "dev@example.com" });
+    expect(queued()[0].distinct_id).toBe("dev@example.com");
+  });
+
+  it("falls back to a persisted anonymous id before the SDK has pinged", () => {
+    captureEvent("deepseek.tool.add_memory", {}, {});
+    const first = queued()[0].distinct_id as string;
+    expect(first).toMatch(/^deepseek-anon-/);
+
+    _resetForTesting();
+    captureEvent("deepseek.tool.add_memory", {}, {});
+    expect(queued()[0].distinct_id).toBe(first);
+  });
+
+  it("aliases the anonymous history onto the email exactly once", () => {
+    captureEvent("deepseek.tool.add_memory", {}, {});
+    const anonymous = queued()[0].distinct_id;
+    _resetForTesting();
+
+    captureEvent("deepseek.tool.add_memory", {}, { telemetryId: "dev@example.com" });
+    const [identify, event] = queued();
+    expect(identify.event).toBe("$identify");
+    expect(identify.distinct_id).toBe("dev@example.com");
+    expect(identify.properties.$anon_distinct_id).toBe(anonymous);
+    expect(event.distinct_id).toBe("dev@example.com");
+
+    captureEvent("deepseek.tool.add_memory", {}, { telemetryId: "dev@example.com" });
+    expect(queued().filter((e) => e.event === "$identify")).toHaveLength(1);
+  });
+});
+
+describe("event shape", () => {
+  it("stamps every event with the integration source and runtime baseline", () => {
+    captureEvent("deepseek.tool.search_memory", { success: true }, { telemetryId: "d@e.com" });
+    const { properties } = queued()[0];
+    expect(properties.source).toBe("DEEPSEEK_HARNESS");
+    expect(properties.language).toBe("node");
+    expect(properties.$process_person_profile).toBe(false);
+    expect(properties.os).toBe(process.platform);
+    expect(properties.plugin_version).not.toBe("unknown");
+    expect(properties.success).toBe(true);
+  });
+
+  it("flushes one batch to PostHog and empties the queue", async () => {
+    captureEvent("deepseek.tool.search_memory", {}, { telemetryId: "d@e.com" });
+    flushEvents();
+
+    const [url, init] = (fetch as unknown as ReturnType<typeof vi.fn>).mock.calls[0];
+    expect(url).toContain("posthog.com");
+    expect(JSON.parse(init.body).batch).toHaveLength(1);
+    expect(queued()).toHaveLength(0);
+  });
+
+  it("never throws when the network is gone", () => {
+    vi.stubGlobal("fetch", vi.fn().mockRejectedValue(new Error("fetch failed")));
+    captureEvent("deepseek.tool.search_memory", {}, { telemetryId: "d@e.com" });
+    expect(() => flushEvents()).not.toThrow();
+  });
+});
+
+describe("errorKind", () => {
+  it("buckets failures without leaking the message", () => {
+    expect(errorKind(new Error("Request failed with status 429"))).toBe("rate-limited");
+    expect(errorKind(new Error("401 Unauthorized"))).toBe("auth");
+    expect(errorKind(new Error("503 Service Unavailable"))).toBe("server-error");
+    expect(errorKind(new Error("The operation was aborted due to timeout"))).toBe("timeout");
+    expect(errorKind(new Error("fetch failed"))).toBe("network");
+    expect(errorKind(new Error("token sk-abcdef is invalid"))).toBe("Error");
+  });
+});
+
+describe("tool instrumentation", () => {
+  it("records a mount, then a successful search with its shape but not its query", async () => {
+    mockSearch.mockResolvedValue({ results: [{ id: "m1", memory: "Likes tea" }] });
+    const tools = applyAndCollect({ apiKey: "k", userId: "u" });
+
+    await tools.get("search_memory")!.execute({ query: "what drink", limit: 3 }, {});
+
+    const [mounted, search] = queued();
+    expect(mounted.event).toBe("deepseek.plugin.mounted");
+    expect(mounted.properties.has_host).toBe(false);
+    expect(search.event).toBe("deepseek.tool.search_memory");
+    expect(search.properties).toMatchObject({
+      success: true,
+      top_k: 3,
+      result_count: 1,
+      query_chars: 10,
+      scope_overridden: false,
+      has_agent_id: false,
+      has_run_id: false,
+    });
+    expect(typeof search.properties.duration_ms).toBe("number");
+    expect(JSON.stringify(search)).not.toContain("what drink");
+    expect(JSON.stringify(search)).not.toContain("Likes tea");
+  });
+
+  it("records a failed search with a coarse error kind", async () => {
+    mockSearch.mockRejectedValue(new Error("429 rate limit exceeded"));
+    const tools = applyAndCollect({ apiKey: "k", userId: "u" });
+
+    await tools.get("search_memory")!.execute({ query: "x" }, {});
+
+    const search = queued().at(-1)!;
+    expect(search.properties).toMatchObject({ success: false, error_kind: "rate-limited" });
+  });
+
+  it("records a write with its size but not its text", async () => {
+    mockAdd.mockResolvedValue([{ id: "m1", memory: "Fact" }]);
+    const tools = applyAndCollect({ apiKey: "k", userId: "u" });
+
+    await tools.get("add_memory")!.execute({ text: "secret fact", userId: "alice" }, {});
+
+    const add = queued().at(-1)!;
+    expect(add.event).toBe("deepseek.tool.add_memory");
+    expect(add.properties).toMatchObject({
+      success: true,
+      text_chars: 11,
+      memory_count: 1,
+      scope_overridden: true,
+    });
+    expect(JSON.stringify(add)).not.toContain("secret fact");
+    expect(JSON.stringify(add)).not.toContain("alice");
+  });
+
+  it("records a failed write and still returns the graceful failure line", async () => {
+    mockAdd.mockRejectedValue(new Error("boom"));
+    const tools = applyAndCollect({ apiKey: "k", userId: "u" });
+
+    const out = await tools.get("add_memory")!.execute({ text: "x" }, {});
+
+    expect(out).toContain("add_memory failed");
+    expect(queued().at(-1)!.properties).toMatchObject({ success: false, error_kind: "Error" });
+  });
+});
@@ -1,4 +1,4 @@
-strands-mem0
+mem0-strands
 Copyright 2026 Mem0

 This product includes software developed at Mem0 (https://mem0.ai).
@@ -1,5 +1,5 @@
 <div align="center">
-  <h1>strands-mem0</h1>
+  <h1>mem0-strands</h1>
  <h3>Persistent long-term memory for Strands Agents, backed by Mem0</h3>
  <p>
    A community <a href="https://strandsagents.com/">Strands Agents</a> integration that plugs
@@ -9,7 +9,7 @@

 ---

-`strands-mem0` gives [Strands](https://github.com/strands-agents/sdk-python) agents durable memory
+`mem0-strands` gives [Strands](https://github.com/strands-agents/sdk-python) agents durable memory
 that survives across sessions, backed by [Mem0](https://mem0.ai). Where the
 `mem0_memory` tool is called explicitly by the model, `Mem0MemoryStore` plugs into the **agent loop**
 directly: the manager recalls context and injects it automatically, and writes new memories, either
@@ -22,7 +22,7 @@ verbatim or by extracting facts from the conversation.
 ## Install

 ```bash
-pip install strands-mem0
+pip install mem0-strands
 ```

 ## Usage
@@ -30,7 +30,7 @@ pip install strands-mem0
 ```python
 from strands import Agent
 from strands.memory import MemoryManager
-from strands_mem0 import Mem0MemoryStore
+from mem0_strands import Mem0MemoryStore

 # Recall + write, distilling facts from the conversation via Mem0's server-side extraction.
 store = Mem0MemoryStore(user_id="alex", writable=True, extraction=True)
@@ -77,6 +77,13 @@ For the model-called tool (`store` / `retrieve` / `get` / `delete`), use the
 [`mem0_memory`](https://github.com/strands-agents/tools) tool from `strands-agents-tools`. The store and
 the tool share one Mem0 backend and namespace.

+## Telemetry
+
+The store sends anonymous usage events (store configuration, operation, duration,
+result counts, coarse failure kind) over the Mem0 SDK's existing telemetry client,
+tagged `source="STRANDS"`. Queries, memory text, message content, entity ids, and
+metadata are never sent. Turn it off with `MEM0_TELEMETRY=false`.
+
 ## Development

 The package lives under [`python/`](python/) (monorepo-style layout matching the
@@ -1,4 +1,4 @@
-# strands-mem0 (Python)
+# mem0-strands (Python)

 Persistent long-term memory for [Strands Agents](https://github.com/strands-agents/sdk-python),
 backed by [Mem0](https://mem0.ai).
@@ -6,7 +6,7 @@ backed by [Mem0](https://mem0.ai).
 See the [repository README](../README.md) for full usage. Quick start:

 ```bash
-pip install strands-mem0
+pip install mem0-strands
 ```

 As a `MemoryStore` that plugs into the agent loop (Strands >= 1.45):
@@ -14,7 +14,7 @@ As a `MemoryStore` that plugs into the agent loop (Strands >= 1.45):
 ```python
 from strands import Agent
 from strands.memory import MemoryManager
-from strands_mem0 import Mem0MemoryStore
+from mem0_strands import Mem0MemoryStore

 store = Mem0MemoryStore(user_id="alex", writable=True, extraction=True)
 agent = Agent(memory_manager=MemoryManager(stores=[store]))
@@ -32,6 +32,6 @@ hatch run prepare     # format + lint + typecheck + test

 ## Release

-Publish a GitHub release tagged `strands-mem0-v*` (e.g. `strands-mem0-v0.1.0`). The
-release router (`.github/workflows/release.yml`) dispatches `strands-mem0-cd.yml`,
+Publish a GitHub release tagged `mem0-strands-v*` (e.g. `mem0-strands-v0.1.0`). The
+release router (`.github/workflows/release.yml`) dispatches `mem0-strands-cd.yml`,
 which builds the wheel and publishes it to PyPI via trusted publishing (OIDC).
@@ -3,8 +3,8 @@ requires = ["hatchling"]
 build-backend = "hatchling.build"

 [project]
-name = "strands-mem0"
-version = "0.1.0"
+name = "mem0-strands"
+version = "0.1.1"
 description = "Persistent long-term memory for Strands agents, backed by Mem0."
 readme = "README.md"
 requires-python = ">=3.10"
@@ -33,7 +33,7 @@ dependencies = [

 [project.urls]
 Homepage = "https://mem0.ai"
-Documentation = "https://github.com/mem0ai/mem0/tree/main/integrations/strands-mem0#readme"
+Documentation = "https://github.com/mem0ai/mem0/tree/main/integrations/mem0-strands#readme"
 Repository = "https://github.com/mem0ai/mem0"
 Issues = "https://github.com/mem0ai/mem0/issues"

@@ -47,7 +47,7 @@ dev = [
 ]

 [tool.hatch.build.targets.wheel]
-packages = ["src/strands_mem0"]
+packages = ["src/mem0_strands"]

 [tool.hatch.envs.default]
 dependencies = [
@@ -12,8 +12,8 @@ share one Mem0 backend and namespace.

 from importlib.metadata import PackageNotFoundError, version

-from strands_mem0.client import Mem0ServiceClient
-from strands_mem0.store import Mem0MemoryStore
+from mem0_strands.client import Mem0ServiceClient
+from mem0_strands.store import Mem0MemoryStore

 __all__ = [
    "Mem0MemoryStore",
@@ -21,6 +21,6 @@ __all__ = [
 ]

 try:
-    __version__ = version("strands-mem0")
+    __version__ = version("mem0-strands")
 except PackageNotFoundError:  # pragma: no cover - only when running from a source tree
    __version__ = "0.0.0+unknown"
@@ -1,4 +1,4 @@
-"""A thin wrapper around the Mem0 SDK used by :class:`~strands_mem0.store.Mem0MemoryStore`.
+"""A thin wrapper around the Mem0 SDK used by :class:`~mem0_strands.store.Mem0MemoryStore`.

 Both Mem0 backends -- the hosted platform (:class:`mem0.MemoryClient`) and
 self-hosted OSS (:class:`mem0.Memory`) -- expose the same call shape to the store:
@@ -95,7 +95,7 @@ class Mem0ServiceClient:
                from mem0 import Memory
            except ImportError as err:  # pragma: no cover - exercised via install docs
                raise ImportError(
-                    "The mem0ai package is required. Install it with: pip install 'strands-mem0'"
+                    "The mem0ai package is required. Install it with: pip install 'mem0-strands'"
                ) from err
            self.mem0 = Memory.from_config(config)
            self.is_platform = False
@@ -104,7 +104,7 @@ class Mem0ServiceClient:
        try:
            from mem0 import MemoryClient
        except ImportError as err:  # pragma: no cover - exercised via install docs
-            raise ImportError("The mem0ai package is required. Install it with: pip install 'strands-mem0'") from err
+            raise ImportError("The mem0ai package is required. Install it with: pip install 'mem0-strands'") from err
        api_key = api_key or os.environ.get("MEM0_API_KEY")
        # MemoryClient(host=None) would override the SDK default with None, so only
        # pass host when the caller actually set one.
@@ -21,7 +21,7 @@ Example:
    ```python
    from strands import Agent
    from strands.memory import MemoryManager
-    from strands_mem0 import Mem0MemoryStore
+    from mem0_strands import Mem0MemoryStore

    # Recall + write, with Mem0 extracting facts from the conversation server-side.
    store = Mem0MemoryStore(user_id="alex", writable=True, extraction=True)
@@ -36,12 +36,14 @@ environment variable, or pass a Mem0 OSS ``config`` dict for a self-hosted backe
 from __future__ import annotations

 import asyncio
+import time
 from typing import Any

 from strands.memory import AddMessagesContext, MemoryEntry, MemoryStore, SearchOptions
 from strands.types.content import Message

-from strands_mem0.client import Mem0ServiceClient
+from mem0_strands import telemetry
+from mem0_strands.client import Mem0ServiceClient

 DEFAULT_MAX_SEARCH_RESULTS = 5
 # Entity fields that scope a memory in Mem0. At least one must be set.
@@ -92,7 +94,7 @@ class Mem0MemoryStore(MemoryStore):
            api_key: Mem0 platform API key (defaults to ``$MEM0_API_KEY``).
            host: Mem0 platform base URL.
            config: Mem0 OSS config dict for a self-hosted backend.
-            client: A pre-built :class:`~strands_mem0.client.Mem0ServiceClient`
+            client: A pre-built :class:`~mem0_strands.client.Mem0ServiceClient`
                (for testing, or to wrap your own raw Mem0 client via
                ``Mem0ServiceClient(client=...)``); when omitted, one is
                constructed lazily on first use from ``api_key`` / ``config``.
@@ -134,6 +136,7 @@ class Mem0MemoryStore(MemoryStore):
        self._host = host
        self._config = config
        self._client = client
+        self._recorded_init = False

    @property
    def client(self) -> Mem0ServiceClient:
@@ -144,8 +147,22 @@ class Mem0MemoryStore(MemoryStore):
        stores), so first use is deferred and always happens inside a worker thread
        via :func:`asyncio.to_thread`, never on the event loop.
        """
+        client_injected = self._client is not None
        if self._client is None:
            self._client = Mem0ServiceClient(api_key=self._api_key, host=self._host, config=self._config)
+        if not self._recorded_init:
+            self._recorded_init = True
+            telemetry.record(
+                "store.init",
+                self._client,
+                scopes=sorted(self.scope),
+                writable=self.writable,
+                extraction_enabled=bool(self.extraction),
+                has_default_metadata=bool(self.metadata),
+                max_search_results=self.max_search_results,
+                host_overridden=bool(self._host),
+                client_injected=client_injected,
+            )
        return self._client

    async def search(self, query: str, options: SearchOptions | None = None) -> list[MemoryEntry]:
@@ -158,7 +175,13 @@ class Mem0MemoryStore(MemoryStore):

        # ``self.client`` is resolved inside the thread so lazy construction (a
        # blocking call) does not run on the event loop.
-        memories = await asyncio.to_thread(lambda: self.client.search_memories(query, self.scope, top_k))
+        started = time.perf_counter()
+        try:
+            memories = await asyncio.to_thread(lambda: self.client.search_memories(query, self.scope, top_k))
+        except Exception as exc:
+            self._record("store.search", started, False, top_k=top_k, error_kind=telemetry.error_kind(exc))
+            raise
+        self._record("store.search", started, True, top_k=top_k, result_count=len(memories))
        return [self._to_entry(memory) for memory in memories]

    async def add(self, content: str, metadata: dict[str, Any] | None = None) -> Any:
@@ -168,7 +191,14 @@ class Mem0MemoryStore(MemoryStore):
        Mem0 de-duplicates on the server.
        """
        merged = self._merge_metadata(metadata)
-        return await asyncio.to_thread(lambda: self.client.store_memory(content, self.scope, merged))
+        started = time.perf_counter()
+        try:
+            result = await asyncio.to_thread(lambda: self.client.store_memory(content, self.scope, merged))
+        except Exception as exc:
+            self._record("store.add", started, False, error_kind=telemetry.error_kind(exc))
+            raise
+        self._record("store.add", started, True, content_chars=len(content), has_metadata=bool(merged))
+        return result

    async def add_messages(self, messages: list[Message], context: AddMessagesContext | None = None) -> Any:
        """Ingest raw conversation turns for Mem0 server-side extraction (``infer=True``).
@@ -186,7 +216,33 @@ class Mem0MemoryStore(MemoryStore):
                payload.append({"role": message["role"], "content": text})
        if not payload:
            return None
-        return await asyncio.to_thread(lambda: self.client.store_messages(payload, self.scope))
+        started = time.perf_counter()
+        try:
+            result = await asyncio.to_thread(lambda: self.client.store_messages(payload, self.scope))
+        except Exception as exc:
+            self._record("store.add_messages", started, False, error_kind=telemetry.error_kind(exc))
+            raise
+        self._record(
+            "store.add_messages",
+            started,
+            True,
+            message_count=len(messages),
+            rendered_count=len(payload),
+            total_chars=sum(len(turn["content"]) for turn in payload),
+        )
+        return result
+
+    def _record(self, event: str, started: float, success: bool, **properties: Any) -> None:
+        """Send one store telemetry event, timed from ``started``."""
+        if self._client is None:
+            return
+        telemetry.record(
+            event,
+            self._client,
+            success=success,
+            duration_ms=round((time.perf_counter() - started) * 1000, 2),
+            **properties,
+        )

    @staticmethod
    def _render_content(content: Any) -> str:
@@ -0,0 +1,70 @@
+"""Anonymous usage telemetry for the Strands memory store.
+
+Events ride the Mem0 SDK's own PostHog client, so they need no extra dependency
+and join the account's other Mem0 usage: on the hosted platform the distinct id
+is the account email, and on a self-hosted OSS backend it is the machine-local
+anonymous id the SDK already keeps. Unlike the SDK's OSS hot-path events these
+are never sampled, because a store call is an agent-level action, not a loop.
+
+Only names, counts, durations, and coarse failure kinds are sent: never queries,
+memory text, message content, entity ids, metadata, or API keys.
+
+Opt out with MEM0_TELEMETRY=false.
+"""
+
+from __future__ import annotations
+
+from importlib.metadata import PackageNotFoundError, version
+from typing import TYPE_CHECKING, Any
+
+from mem0.memory.telemetry import client_telemetry
+
+if TYPE_CHECKING:
+    from mem0_strands.client import Mem0ServiceClient
+
+SOURCE = "STRANDS"
+
+try:
+    _VERSION = version("mem0-strands")
+except PackageNotFoundError:  # pragma: no cover - only when running from a source tree
+    _VERSION = "0.0.0+unknown"
+
+
+def error_kind(exc: BaseException) -> str:
+    """Coarse, content-free label for a failure, safe to send."""
+    text = f"{type(exc).__name__}: {exc}".lower()
+    if "timeout" in text or "timed out" in text:
+        return "timeout"
+    if "401" in text or "403" in text or "unauthor" in text or "forbidden" in text:
+        return "auth"
+    if "429" in text or "rate limit" in text:
+        return "rate-limited"
+    if any(code in text for code in ("500", "502", "503", "504")):
+        return "server-error"
+    if "400" in text or "422" in text:
+        return "bad-request"
+    return type(exc).__name__
+
+
+def _distinct_id(client: Mem0ServiceClient) -> str | None:
+    """The account email to attribute events to, or None to fall back to the SDK's anonymous id."""
+    email = getattr(client.mem0, "user_email", None)
+    return email if isinstance(email, str) and email else None
+
+
+def record(event: str, client: Mem0ServiceClient, **properties: Any) -> None:
+    """Send one strands.* usage event. Never raises."""
+    try:
+        client_telemetry.capture_event(
+            f"strands.{event}",
+            {
+                "source": SOURCE,
+                "language": "python",
+                "strands_store_version": _VERSION,
+                "backend": "platform" if client.is_platform else "oss",
+                **properties,
+            },
+            _distinct_id(client),
+        )
+    except Exception:
+        pass
@@ -0,0 +1,10 @@
+"""Keep the test suite from sending usage telemetry to the live PostHog project.
+
+Set before ``mem0`` is imported: the SDK reads ``MEM0_TELEMETRY`` once, at import.
+"""
+
+from __future__ import annotations
+
+import os
+
+os.environ["MEM0_TELEMETRY"] = "false"
@@ -8,7 +8,7 @@ what the earlier permissive fakes did not do.

 import pytest

-from strands_mem0.client import Mem0ServiceClient, _extract_results, _is_platform_client
+from mem0_strands.client import Mem0ServiceClient, _extract_results, _is_platform_client


 class FakeMemoryClient:
@@ -10,7 +10,7 @@ import pytest
 from strands.memory import MemoryEntry, MemoryStore
 from strands.memory.types import _has_method, _has_write_sink

-from strands_mem0 import Mem0MemoryStore
+from mem0_strands import Mem0MemoryStore


@pytest.fixture
@@ -241,7 +241,7 @@ def test_client_constructed_lazily(monkeypatch):
            calls["n"] += 1
            self.api_key = api_key

-    monkeypatch.setattr("strands_mem0.store.Mem0ServiceClient", FakeClient)
+    monkeypatch.setattr("mem0_strands.store.Mem0ServiceClient", FakeClient)

    store = Mem0MemoryStore(user_id="alex", api_key="m0-x")
    assert calls["n"] == 0  # not built yet
@@ -0,0 +1,172 @@
+"""Tests for the store's anonymous usage telemetry."""
+
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from mem0_strands import Mem0MemoryStore, telemetry
+
+
+@pytest.fixture
+def mock_client():
+    """A mocked Mem0ServiceClient that looks like the hosted platform."""
+    client = MagicMock()
+    client.is_platform = True
+    client.mem0.user_email = "dev@example.com"
+    return client
+
+
+@pytest.fixture
+def captured():
+    """Intercept the SDK PostHog client and collect (event, properties, distinct_id)."""
+    with patch.object(telemetry, "client_telemetry") as posthog:
+        events = []
+        posthog.capture_event.side_effect = lambda event, properties, distinct_id=None: events.append(
+            (event, properties, distinct_id)
+        )
+        yield events
+
+
+def make_store(mock_client, **kwargs):
+    kwargs.setdefault("user_id", "alex")
+    return Mem0MemoryStore(client=mock_client, **kwargs)
+
+
+# ---------------------------------------------------------------------------
+# Event shape
+# ---------------------------------------------------------------------------
+
+
+def test_every_event_carries_source_and_backend(mock_client, captured):
+    assert make_store(mock_client).client is mock_client
+
+    event, properties, distinct_id = captured[0]
+    assert event == "strands.store.init"
+    assert properties["source"] == "STRANDS"
+    assert properties["language"] == "python"
+    assert properties["backend"] == "platform"
+    assert properties["strands_store_version"]
+    assert distinct_id == "dev@example.com"
+
+
+def test_oss_backend_is_labelled_and_falls_back_to_the_sdk_anonymous_id(captured):
+    client = MagicMock()
+    client.is_platform = False
+    del client.mem0.user_email
+    assert make_store(client).client is client
+
+    _, properties, distinct_id = captured[0]
+    assert properties["backend"] == "oss"
+    assert distinct_id is None
+
+
+def test_init_is_recorded_once_per_store(mock_client, captured):
+    store = make_store(mock_client)
+    assert store.client is store.client
+
+    assert [event for event, _, _ in captured] == ["strands.store.init"]
+
+
+def test_init_describes_configuration_without_scope_values(mock_client, captured):
+    store = make_store(mock_client, agent_id="assistant", writable=False, extraction=True, metadata={"team": "core"})
+    assert store.client is mock_client
+
+    _, properties, _ = captured[0]
+    assert properties["scopes"] == ["agent_id", "user_id"]
+    assert properties["writable"] is False
+    assert properties["extraction_enabled"] is True
+    assert properties["has_default_metadata"] is True
+    assert "alex" not in str(properties)
+    assert "assistant" not in str(properties)
+    assert "core" not in str(properties)
+
+
+# ---------------------------------------------------------------------------
+# Per-operation events
+# ---------------------------------------------------------------------------
+
+
+async def test_search_records_counts_but_never_the_query(mock_client, captured):
+    mock_client.search_memories.return_value = [{"id": "m1", "memory": "Likes tea"}]
+
+    await make_store(mock_client).search("what does alex drink")
+
+    event, properties, _ = captured[-1]
+    assert event == "strands.store.search"
+    assert properties["success"] is True
+    assert properties["result_count"] == 1
+    assert properties["top_k"] == 5
+    assert properties["duration_ms"] >= 0
+    assert "drink" not in str(properties)
+    assert "tea" not in str(properties)
+
+
+async def test_add_records_size_but_never_the_content(mock_client, captured):
+    await make_store(mock_client).add("Alex prefers dark roast", metadata={"team": "core"})
+
+    event, properties, _ = captured[-1]
+    assert event == "strands.store.add"
+    assert properties["success"] is True
+    assert properties["content_chars"] == len("Alex prefers dark roast")
+    assert properties["has_metadata"] is True
+    assert "roast" not in str(properties)
+
+
+async def test_add_messages_records_turn_counts_but_never_the_turns(mock_client, captured):
+    messages = [
+        {"role": "user", "content": [{"text": "hello"}]},
+        {"role": "assistant", "content": [{"text": "hi there"}]},
+    ]
+
+    await make_store(mock_client).add_messages(messages)
+
+    event, properties, _ = captured[-1]
+    assert event == "strands.store.add_messages"
+    assert properties["message_count"] == 2
+    assert properties["rendered_count"] == 2
+    assert properties["total_chars"] == len("hello") + len("hi there")
+    assert "hello" not in str(properties)
+
+
+async def test_empty_add_messages_records_nothing(mock_client, captured):
+    assert await make_store(mock_client).add_messages([]) is None
+    assert [event for event, _, _ in captured] == []
+
+
+# ---------------------------------------------------------------------------
+# Failures
+# ---------------------------------------------------------------------------
+
+
+async def test_a_failed_search_records_a_coarse_error_kind_and_still_raises(mock_client, captured):
+    mock_client.search_memories.side_effect = RuntimeError("HTTP 429 rate limit exceeded for key sk-secret")
+
+    with pytest.raises(RuntimeError):
+        await make_store(mock_client).search("anything")
+
+    event, properties, _ = captured[-1]
+    assert event == "strands.store.search"
+    assert properties["success"] is False
+    assert properties["error_kind"] == "rate-limited"
+    assert "sk-secret" not in str(properties)
+
+
+@pytest.mark.parametrize(
+    ("message", "expected"),
+    [
+        ("request timed out", "timeout"),
+        ("401 Unauthorized", "auth"),
+        ("429 Too Many Requests", "rate-limited"),
+        ("503 Service Unavailable", "server-error"),
+        ("422 Unprocessable Entity", "bad-request"),
+        ("something else entirely", "ValueError"),
+    ],
+)
+def test_error_kind_buckets_failures(message, expected):
+    assert telemetry.error_kind(ValueError(message)) == expected
+
+
+def test_a_broken_telemetry_backend_never_breaks_the_store(mock_client):
+    with patch.object(telemetry, "client_telemetry") as posthog:
+        posthog.capture_event.side_effect = RuntimeError("posthog is down")
+        assert make_store(mock_client).client is mock_client
@@ -1,24 +1,9 @@
-from typing import Any, Dict
-
-from pydantic import BaseModel, ConfigDict, Field, model_validator
+from pydantic import BaseModel, ConfigDict, Field


-# TODO: Upgrade to latest pydantic version
 class RedisDBConfig(BaseModel):
+    model_config = ConfigDict(extra="forbid", arbitrary_types_allowed=True)
+
    redis_url: str = Field(..., description="Redis URL")
    collection_name: str = Field("mem0", description="Collection name")
    embedding_model_dims: int = Field(1536, description="Embedding model dimensions")
-
-    @model_validator(mode="before")
-    @classmethod
-    def validate_extra_fields(cls, values: Dict[str, Any]) -> Dict[str, Any]:
-        allowed_fields = set(cls.model_fields.keys())
-        input_fields = set(values.keys())
-        extra_fields = input_fields - allowed_fields
-        if extra_fields:
-            raise ValueError(
-                f"Extra fields not allowed: {', '.join(extra_fields)}. Please input only the following fields: {', '.join(allowed_fields)}"
-            )
-        return values
-
-    model_config = ConfigDict(arbitrary_types_allowed=True)
Author	SHA1	Message	Date
KartikandGitHub	0070e08e01	feat(deepseek-plugin,mem0-strands): add usage telemetry (#7110 )	2026-08-27 13:48:30 +05:30
HimanshuandGitHub	39bc023305	docs(integrations): add Vercel Marketplace (managed) integration page (#7100 )	2026-08-24 22:22:04 +05:30
krishna soniandGitHub	b1342a3408	refactor: replace custom validator with Pydantic extra="forbid" config (#7089 )	2026-08-24 21:17:57 +05:30
KartikandGitHub	b717e38785	refactor(integrations): rename dsh-mem0 to deepseek-plugin, strands-mem0 to mem0-strands (#7098 )	2026-08-24 19:21:23 +05:30