docs(integrations): add Zapier and n8n docs; align n8n toolchain and codex

- Add docs/integrations/zapier.mdx and n8n.mdx, register both in docs.json
  (Developer Tools) and docs/llms.txt
- Align n8n CD toolchain (pnpm 9 / Node 20) with the checks workflow so the
  published artifact is built on the toolchain CI validated
- Add Mem0.node.json codex and copy it into dist via gulp for nodes-panel
  discoverability
- Align search default limit to 50 across Zapier and n8n

.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": "0.2.14"
+      "version": "0.2.13"
     }
   ]
 }

.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": "0.2.14"
+      "version": "0.2.13"
     }
   ]
 }

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -9,10 +9,12 @@ body:
       label: Component
       description: Which part of mem0 is affected?
       options:
-        - Python SDK
+        - Core / Python SDK
         - TypeScript SDK
-        - Vector Store
-        - Plugin
+        - Vector Store (Qdrant, PGVector, Redis, Chroma, etc.)
+        - Graph Memory (Neo4j, Memgraph, etc.)
+        - Ollama / Local Models
+        - OpenClaw
         - REST API
         - Other
     validations:

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -9,11 +9,14 @@ body:
       label: Component
       description: Which part of mem0 does this relate to?
       options:
-        - Python SDK
+        - Core / Python SDK
         - TypeScript SDK
-        - Vector Store
-        - Plugin
+        - Vector Store (Qdrant, PGVector, Redis, Chroma, etc.)
+        - Graph Memory (Neo4j, Memgraph, etc.)
+        - Ollama / Local Models
+        - OpenClaw
         - REST API
+        - Benchmarks / Evals
         - Other
     validations:
       required: true

.github/advanced-issue-labeler.yml

@@ -1,15 +1,18 @@
-policy:
-  - section:
-      - id: ['component']
-        block-list: ['Other']
-        label:
-          - name: 'sdk-python'
-            keys: ['Python SDK']
-          - name: 'sdk-typescript'
-            keys: ['TypeScript SDK']
-          - name: 'vector-store'
-            keys: ['Vector Store']
-          - name: 'plugin'
-            keys: ['Plugin']
-          - name: 'rest-api'
-            keys: ['REST API']
+# Maps dropdown selections to GitHub labels
+# Used by the advanced-issue-labeler GitHub Action
+
+component:
+  - label: "sdk-python"
+    matcher: "Core / Python SDK"
+  - label: "sdk-typescript"
+    matcher: "TypeScript SDK"
+  - label: "vector-store"
+    matcher: "Vector Store"
+  - label: "graph-memory"
+    matcher: "Graph Memory"
+  - label: "ollama"
+    matcher: "Ollama"
+  - label: "openclaw"
+    matcher: "OpenClaw"
+  - label: "rest-api"
+    matcher: "REST API"

.github/component-keywords.json

@@ -1,40 +0,0 @@
-{
-  "language": {
-    "sdk-python": [
-      "python", "pip install", "pypi", "pyproject", "requirements.txt",
-      "from mem0", "import mem0", "traceback", "pydantic", "asyncmemory",
-      "poetry", "virtualenv", "venv", "conda", "pytest", "async def"
-    ],
-    "sdk-typescript": [
-      "typescript", "javascript", "pnpm", "yarn", "node.js", "nodejs",
-      "mem0-ts", "mem0ai/oss", "tsconfig", "await import",
-      "=> {", "undefined is not"
-    ]
-  },
-  "area": {
-    "plugin": [
-      "openclaw", "openclaw-mem0", "openclaw.json", "openclaw plugin",
-      "claude code", "opencode", "pi agent", "mem0-plugin",
-      "cursor plugin", "codex plugin", "editor plugin"
-    ],
-    "cli": ["mem0-cli", "@mem0/cli", "npx mem0", "command line"],
-    "vector-store": [
-      "pgvector", "pinecone", "chroma", "chromadb", "weaviate",
-      "milvus", "faiss", "vector store", "vectorstore",
-      "elasticsearch", "supabase", "azure ai search",
-      "s3 vectors", "mongodb"
-    ],
-    "integrations": [
-      "vercel ai", "vercel-ai-sdk", "@mem0/vercel-ai-provider",
-      "llamaindex", "crewai", "autogen", "langgraph"
-    ],
-    "rest-api": [
-      "rest api", "fastapi", "docker-compose", "/v1/memories",
-      "localhost:8000", "localhost:8888", "curl -x", "http endpoint"
-    ],
-    "documentation": [
-      "docs.mem0.ai", "documentation", "typo", "readme", "docstring", "broken link",
-      "issue on docs", "docs:", "link to the docs page", "issue with current documentation"
-    ]
-  }
-}

.github/labeler.yml

@@ -1,59 +0,0 @@
-sdk-python:
-  - changed-files:
-      - any-glob-to-any-file:
-          - 'mem0/**'
-          - 'tests/**'
-          - 'cli/python/**'
-          - 'pyproject.toml'
-          - 'poetry.lock'
-
-sdk-typescript:
-  - changed-files:
-      - any-glob-to-any-file:
-          - 'mem0-ts/**'
-          - 'cli/node/**'
-
-vector-store:
-  - changed-files:
-      - any-glob-to-any-file:
-          - 'mem0/vector_stores/**'
-          - 'mem0-ts/src/oss/src/vector_stores/**'
-
-rest-api:
-  - changed-files:
-      - any-glob-to-any-file: 'server/**'
-
-integrations:
-  - changed-files:
-      - any-glob-to-any-file: 'integrations/**'
-
-plugin:
-  - changed-files:
-      - all-globs-to-any-file:
-          - 'integrations/**'
-          - '!integrations/vercel-ai-sdk/**'
-      - any-glob-to-any-file:
-          - 'skills/**'
-          - '.agents/**'
-          - '.claude-plugin/**'
-          - '.codex-plugin/**'
-          - '.cursor-plugin/**'
-          - 'marketplace.json'
-
-cli:
-  - changed-files:
-      - any-glob-to-any-file: 'cli/**'
-
-documentation:
-  - changed-files:
-      - any-glob-to-any-file:
-          - 'docs/**'
-          - 'examples/**'
-          - '*.md'
-
-ci:
-  - changed-files:
-      - any-glob-to-any-file:
-          - '.github/**'
-          - 'scripts/**'
-          - '.pre-commit-config.yaml'

.github/scripts/infer-component-labels.js

@@ -1,44 +0,0 @@
-const fs = require('fs');
-
-function componentLabels(keywords) {
-  return Object.values(keywords).flatMap(Object.keys);
-}
-
-function toMatcher(term) {
-  const escaped = term.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
-  const prefix = /^[a-z0-9]/i.test(term) ? '\\b' : '';
-  return new RegExp(prefix + escaped, 'i');
-}
-
-function scoreGroup(text, group) {
-  let winner = null;
-  let best = 0;
-  for (const [label, terms] of Object.entries(group)) {
-    const score = terms.reduce((n, term) => n + (toMatcher(term).test(text) ? 1 : 0), 0);
-    if (score > best) {
-      winner = label;
-      best = score;
-    }
-  }
-  return winner;
-}
-
-const UMBRELLA = { plugin: 'integrations' };
-
-function inferComponentLabels(text, keywords) {
-  if (!text) return [];
-  const labels = [scoreGroup(text, keywords.language), scoreGroup(text, keywords.area)].filter(
-    Boolean,
-  );
-  for (const label of labels.slice()) {
-    const parent = UMBRELLA[label];
-    if (parent && !labels.includes(parent)) labels.push(parent);
-  }
-  return labels;
-}
-
-function loadKeywords(file) {
-  return JSON.parse(fs.readFileSync(file, 'utf8'));
-}
-
-module.exports = { componentLabels, inferComponentLabels, loadKeywords };

.github/scripts/infer-component-labels.test.js

@@ -1,102 +0,0 @@
-const assert = require('assert');
-const path = require('path');
-const { inferComponentLabels, loadKeywords } = require('./infer-component-labels.js');
-
-const keywords = loadKeywords(path.join(__dirname, '..', 'component-keywords.json'));
-
-const cases = [
-  {
-    number: 6210,
-    title: "but(anthropic): sampling parameters returns 400 error for new model",
-    body: "### Component\n\nCore / Python SDK\n\n### Description\n\n### Summary\n\nWhen using Anthropic latest models such as `claude-opus-4-7`, `claude-opus-4-8`, or `claude-sonnet-5`, Mem0 still sends sampling parameters like `temperature` / `top_p`. These models do not support those parameters, causing Anthropic API requests to fail.\n\nSee https://platform.claude.com/docs/en/about-claude/models/migration-guide\n\n### Steps to Reproduce\n\n```python\n  from mem0 import Memory\n\n  m = Memory.from_config({\n      \"llm\": {\n          \"provider\": \"anthropic\",\n          \"config\": {\n              \"model\": \"claude-opus-4-8\",\n              \"api_key\": \"your-anthropic-api-key\"\n          },\n      },\n      ...\n  })\n```\n\n### Expected Behavior\n\nMem0 should detect Anthropic models that do not support sampling parameters and omit temperature and top_p from the request.\n\nFor models that still support sampling parameters, such as claude-opus-4-6, claude-sonnet-4-6, and claude-haiku-4-5, Mem0 should continue sending supported sampling parameters till they're deprecated.\n\n### Actual Behavior\n\nMem0 includes temperature by default for Anthropic requests. With newer Anthropic models that do not support sampling parameters, the API request fails because unsupported parameters are sent.\n\n### Environment\n\n  - mem0 version: 2.0.11\n  - Python/Node version: Python 3.11\n  - OS: macOS\n",
-    expected: ["sdk-python"],
-  },
-  {
-    number: 5770,
-    title: "feat(ts-sdk): add FastEmbed embedding provider",
-    body: "## Summary\n\nThe Python SDK supports **FastEmbed** as an embedding provider, but the TypeScript OSS SDK (`mem0ai/oss`) does not. Add it to bring the TS SDK to parity.\n\n| | |\n|---|---|\n| Python reference | `mem0/embeddings/fastembed.py` |\n| Registered in (Python) | `mem0/utils/factory.py` (EmbedderFactory) |\n| Target file (TypeScript) | `mem0-ts/src/oss/src/embeddings/fastembed.ts` |\n| Suggested implementation | Use the `fastembed` npm package (ONNX local embeddings). |\n\n## Requirements\n\n- [ ] Implement `FastEmbedEmbedder` in `mem0-ts/src/oss/src/embeddings/fastembed.ts`, extending `Embedder` (`mem0-ts/src/oss/src/embeddings/base.ts`) and mirroring the Python provider's behavior (embed / embedBatch).\n- [ ] Register the `\"fastembed\"` provider in `mem0-ts/src/oss/src/utils/factory.ts` (EmbedderFactory).\n- [ ] Add config typing in `mem0-ts/src/oss/src/types/`.\n- [ ] Add a unit test under `mem0-ts/src/oss/src/tests/`.\n- [ ] Add `fastembed` to `mem0-ts/package.json` (optional/peer dependency, lazy-imported like other providers).\n- [ ] Update docs under `docs/` if this provider is user-facing.\n\n## Reference pattern\n\nMirror an existing TS provider: `embeddings/openai.ts`.\n\n## Notes\n\n`fastembed` (v2.x) is the JS port of Qdrant's FastEmbed — local/offline embeddings. Mirror the default model in `mem0/embeddings/fastembed.py`.\n\n---\n_Part of the TypeScript ↔ Python SDK provider-parity effort. One provider per issue (atomic)._\n",
-    expected: ["sdk-typescript"],
-  },
-  {
-    number: 3940,
-    title: "Milvus database will return distance not similarity score",
-    body: "### 🐛 Describe the bug\n\nMilvus database will return distance not similarity score\n\n## in milvus.py\n\ndef _parse_output(self, data: list):\n        \"\"\"\n        Parse the output data.\n\n        Args:\n            data (Dict): Output data.\n\n        Returns:\n            List[OutputData]: Parsed output data.\n        \"\"\"\n        memory = []\n\n        for value in data:\n            uid, score, metadata = (\n                value.get(\"id\"),\n                value.get(\"distance\"),  # here\n                value.get(\"entity\", {}).get(\"metadata\"),\n            )\n\n            memory_obj = OutputData(id=uid, score=score, payload=metadata)\n            memory.append(memory_obj)\n\n        return memory\n",
-    expected: ["vector-store"],
-  },
-  {
-    number: 5290,
-    title: "Recall search failed: Bad Request Using OpenAI Embedding Model",
-    body: "### Component\n\nOpenClaw\n\n### Description\n\n### Summary\nuse openclaw.json config:\n\n```json\n...\n\"embedder\": {\n              \"provider\": \"openai\",\n              \"config\": {\n                \"model\": \"bge-base-zh-v1.5\",\n                \"embedding_dims\": 1024,\n                \"embeddingDims\": 1024,\n                \"url\": \"https://xxxxxxxxx/v1\",\n                \"apiKey\": \"xxxxxxxxxxxx\"\n              }\n            },\n\"vectorStore\": {\n              \"provider\": \"qdrant\",\n              \"config\": {\n                \"url\": \"http://qdrant:6333\",\n                \"apiKey\": \"${QDRANT_API_KEY}\",\n                \"collectionName\": \"mem0\",\n                \"embeddingModelDims\": 1024\n              }\n            }\n```\n```\n\nopenclaw log info is：\n\n```\n23:14:20 Api key is used with unsecure connection.\n23:14:21 [mem0] Recall search failed: Bad Request\n23:14:21 [plugins] openclaw-mem0: skills-mode recall (strategy=smart) injecting 0 memories (~20 tokens)\n23:14:22 [ws] ⇄ res ✓ sessions.list 256ms conn=d1eb9bc4…17da id=201b8113…c9dc\n23:14:22 [ws] ⇄ res ✓ sessions.list 264ms conn=d1eb9bc4…17da id=4939f962…2f16\n23:14:34 [ws] ⇄ res ✓ sessions.list 250ms conn=d1eb9bc4…17da id=f7ad503f…baa6\n23:15:12 [mem0] **Recall search failed: Bad Request**\n23:15:12 [plugins] openclaw-mem0: skills-mode recall (strategy=smart) injecting 0 memories (~20 tokens)\n23:15:12 [ws] ⇄ res ✓ sessions.list 288ms conn=d1eb9bc4…17da id=9e20bb86…371e\n23:15:13 [ws] ⇄ res ✓ sessions.list 268ms conn=d1eb9bc4…17da id=3b49a2ad…7ada\n23:15:20 [ws] ⇄ res ✓ sessions.list 235ms conn=d1eb9bc4…17da id=a192da30…069f\n```\n\n### Actual Behavior\n\nembedding model response ok,response message has 1024 vectors,but the vectors are submitted to vector-db:qdrant with all zero vectors,and vectors has only 256 size.\n\n```http\nPOST /collections/mem0/points/search HTTP/1.1\nhost: qdrant:6333\nconnection: keep-alive\nuser-agent: qdrant-js/1.13.0\napi-key: xxxxxxxxxxxxxxxxxxxxxxxxxxxx\nContent-Type: application/json\nAccept: application/json\naccept-language: *\nsec-fetch-mode: cors\naccept-encoding: gzip, deflate\ncontent-length: 651\n\n{\"vector\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"limit\":120,\"offset\":0,\"filter\":{\"must\":[{\"key\":\"user_id\",\"match\":{\"value\":\"agent\"}}]},\"with_payload\":true,\"with_vector\":false}\n\n**HTTP/1.1 400 Bad Request**\ntransfer-encoding: chunked\ncontent-type: application/json\nvary: accept-encoding, Origin, Access-Control-Request-Method, Access-Control-Request-Headers\ncontent-encoding: gzip\n\n```\n\n### Expected Behavior\n\nembedding model response ok by tcpdump, response message has 1024 vectors,and this vectors are submitted to vector-db:qdrant with the same vectors,and vectors has also 1024 size.\n\n\n### Environment\n\n- openclaw-mem0 version: 1.0.11\n- qdrant: 1.13.6\n",
-    expected: ["plugin", "integrations"],
-  },
-  {
-    number: 3696,
-    title: "Cannot set expiration_date for memory in REST API server (Docker Compose)",
-    body: "### 🐛 Describe the bug\n\nI'm using docker compose to deploy a REST API server. When adding memory, I'm unable to set the expiration_date. Is this feature not supported?",
-    expected: ["rest-api"],
-  },
-  {
-    number: 6252,
-    title: "cursor: on_file_read_cursor.sh ignores auto_search / MEM0_AUTO_SEARCH",
-    body: "### Component\n\nCursor / mem0-plugin\n\n### Description\n\n`on_file_read_cursor.sh` never checks `MEM0_AUTO_SEARCH`. In Claude Code, #6065/#6071 added a guard on `on_file_read.sh`, but the Cursor PreToolUse variant still always calls `file_context.py` (and thus Platform search) once `MEM0_API_KEY` is set.\n\n### Expected\n\nWhen `auto_search: false` / `MEM0_AUTO_SEARCH=false`, `on_file_read_cursor.sh` should exit 0 without searching.\n\n### Actual\n\nTimeline search still runs.\n\n### Related\n\n#6065, #6071, #6250\n",
-    expected: ["plugin", "integrations"],
-  },
-  {
-    number: 6032,
-    title: "docs: fix typos and punctuation errors across docs",
-    body: "### Description\n\n### Page\nMultiple pages — see list below.\n\n### What's Wrong or Missing\n1. https://docs.mem0.ai/components/llms/overview — \"a llm\" should be \"an LLM\"\n2. https://docs.mem0.ai/components/vectordbs/dbs/azure — 2 comma splices + \"setup\" used as a verb (should be \"set up\")\n3. https://docs.mem0.ai/components/embedders/models/azure_openai — \"from the Azure.\" is an incomplete sentence\n4. https://docs.mem0.ai/components/llms/models/azure_openai — same incomplete \"from the Azure\" phrasing\n5. https://docs.mem0.ai/cookbooks/companions/voice-companion-openai — \"an important information\" (uncountable noun)\n6. https://docs.mem0.ai/cookbooks/essentials/exporting-memories — comma splice\n7. https://docs.mem0.ai/cookbooks/integrations/tavily-search — \"usecase\" should be \"use case\"\n8. https://docs.mem0.ai/cookbooks/overview — broken parallelism in bullet list\n9. README.md — \"Github App\" should be \"GitHub App\"\n10. https://docs.mem0.ai/platform/overview — table cell not capitalized like other rows\n\n### Suggested Fix\nApply the corrections listed above for each page. I will submit a PR soon addressing all of the issues mentioned.",
-    expected: ["documentation"],
-  },
-];
-
-const cliRegressionCase = {
-  number: 3144,
-  title: "Bug Report: Memory Score Does Not Match Expected Relevance in Local Search",
-  body: "### 🐛 Describe the bug\n\n#### Description\n\nWhen using the locally deployed `mem0` server, the returned memory `score` from the `search` interface does not align with the expected semantic relevance. In particular, irrelevant or less relevant memories sometimes receive higher scores than directly related ones.\n\n#### Reproduction Steps\n\n```python\nmem0 = mem0_client(mode=\"local\")\nprint(\"Mem0 client initialized successfully.\")\n\nprint(\"Adding memories...\")\nresult = mem0.add(messages=[\n    {\"role\": \"user\", \"content\": \"I like drinking coffee in the morning\"},\n    {\"role\": \"user\", \"content\": \"I enjoy reading books at night\"}\n], user_id=\"alice\")\nprint(\"Memory added:\", result)\n\nprint(\"Searching memories...\")\nsearch_result = mem0.search(query=\"coffee\", user_id=\"alice\", top_k=2)\nprint(\"Search results:\", search_result)\n```\n\n#### Actual Output\n\n```json\n{\n  \"results\": [\n    {\n      \"id\": \"5099b5be-c673-4f09-99de-a196f43b6476\",\n      \"memory\": \"Likes drinking coffee in the morning\",\n      \"score\": 0.5115111920687857\n    },\n    {\n      \"id\": \"08df5c51-c52b-4c45-a5b6-b3f864ea149a\",\n      \"memory\": \"Enjoys reading books at night\",\n      \"score\": 0.7755568273863331\n    }\n  ],\n  \"relations\": [\n    {\"source\": \"coffee\", \"relationship\": \"consumed_in\", \"destination\": \"morning\"},\n    {\"source\": \"user_id:_alice\", \"relationship\": \"likes\", \"destination\": \"coffee\"},\n    {\"source\": \"user_id:_alice\", \"relationship\": \"likes_drinking\", \"destination\": \"coffee\"},\n    {\"source\": \"user_id:_alice\", \"relationship\": \"in_time\", \"destination\": \"morning\"},\n    {\"source\": \"user_id:_alice\", \"relationship\": \"drinks_in\", \"destination\": \"morning\"}\n  ]\n}\n```\n\n#### Expected Behavior\n\nThe memory `\"Likes drinking coffee in the morning\"` should have a **higher score** than `\"Enjoys reading books at night\"` when querying for `\"coffee\"`, since it is directly semantically related.",
-};
-
-let failures = 0;
-
-function run(name, fn) {
-  try {
-    fn();
-    console.log(`PASS ${name}`);
-  } catch (err) {
-    failures++;
-    console.error(`FAIL ${name}: ${err.message}`);
-  }
-}
-
-for (const { number, title, body, expected } of cases) {
-  const text = `${title}
-
-${body}`;
-  run(`#${number}`, () => {
-    assert.deepStrictEqual(inferComponentLabels(text, keywords), expected);
-  });
-}
-
-run('#3144 cliKeywordPrefixSubstringRegression', () => {
-  const text = `${cliRegressionCase.title}
-
-${cliRegressionCase.body}`;
-  const inferred = inferComponentLabels(text, keywords);
-  assert.ok(!inferred.includes('cli'), `expected 'cli' absent (body contains 'Mem0 client', a substring of the removed 'mem0 cli' term), got ${JSON.stringify(inferred)}`);
-});
-
-run('noKeywordMatchReturnsEmptyArray', () => {
-  const text = 'The weather today is sunny and I went for a walk in the park with my dog.';
-  assert.deepStrictEqual(inferComponentLabels(text, keywords), []);
-});
-
-run('emptyStringReturnsEmptyArray', () => {
-  assert.deepStrictEqual(inferComponentLabels('', keywords), []);
-});
-
-if (failures > 0) {
-  console.error(`
-${failures} test(s) failed.`);
-  process.exit(1);
-}
-console.log(`
-All ${cases.length + 3} tests passed.`);

.github/workflows/ci-gate.yml

@@ -38,7 +38,6 @@ 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 }}
@@ -74,11 +73,6 @@ 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'
@@ -90,6 +84,7 @@ jobs:
             n8n_nodes_mem0:
               - 'integrations/n8n-nodes-mem0/**'
               - '.github/workflows/n8n-nodes-mem0-checks.yml'
+              - '.github/workflows/ci-gate.yml'
             zapier_mem0:
               - 'integrations/zapier-mem0/**'
               - '.github/workflows/zapier-mem0-checks.yml'
@@ -137,13 +132,6 @@ 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
@@ -163,6 +151,8 @@ jobs:
     needs: changes
     if: needs.changes.outputs.n8n_nodes_mem0 == 'true'
     uses: ./.github/workflows/n8n-nodes-mem0-checks.yml
+    secrets: inherit
+
   zapier-mem0:
     name: Zapier App
     needs: changes
@@ -186,7 +176,6 @@ jobs:
       - cli-python
       - cli-node
       - openclaw
-      - mem0-plugin
       - opencode-plugin
       - pi-agent-plugin
       - n8n-nodes-mem0

.github/workflows/ci.yml

@@ -106,7 +106,7 @@ jobs:
         run: |
           pip install --upgrade pip
           pip install -e ".[test,graph,vector_stores,llms,extras]"
-          pip install ruff==0.16.0
+          pip install ruff
       - name: Run Linting
         if: needs.check_changes.outputs.mem0_changed == 'true'
         run: make lint

.github/workflows/issue-labeler.yml

@@ -12,56 +12,28 @@ jobs:
   label:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
-
       - uses: stefanbuck/github-issue-parser@v3
         id: issue-parser
-        continue-on-error: true
         with:
           template-path: .github/ISSUE_TEMPLATE/bug_report.yml
 
       - uses: redhat-plumbers-in-action/advanced-issue-labeler@v3
-        continue-on-error: true
         with:
           issue-form: ${{ steps.issue-parser.outputs.jsonString }}
+          section: component
           token: ${{ secrets.GITHUB_TOKEN }}
           config-path: .github/advanced-issue-labeler.yml
 
-      - name: Infer component from text when the form was not used
-        uses: actions/github-script@v7
+      - uses: stefanbuck/github-issue-parser@v3
+        id: feature-parser
+        if: contains(github.event.issue.labels.*.name, 'enhancement')
         with:
-          script: |
-            const {
-              componentLabels,
-              inferComponentLabels,
-              loadKeywords,
-            } = require(`${process.env.GITHUB_WORKSPACE}/.github/scripts/infer-component-labels.js`);
+          template-path: .github/ISSUE_TEMPLATE/feature_request.yml
 
-            const { data: issue } = await github.rest.issues.get({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              issue_number: context.issue.number,
-            });
-
-            const keywords = loadKeywords(`${process.env.GITHUB_WORKSPACE}/.github/component-keywords.json`);
-            const known = componentLabels(keywords);
-            const existing = issue.labels.map((label) => label.name || label);
-            if (existing.some((name) => known.includes(name))) {
-              core.info(`Component label already present: ${existing.join(', ')}`);
-              return;
-            }
-
-            const labels = inferComponentLabels(`${issue.title}\n\n${issue.body || ''}`, keywords);
-
-            if (labels.length === 0) {
-              core.info('No component could be inferred from the issue text');
-              return;
-            }
-
-            core.info(`Inferred: ${labels.join(', ')}`);
-            await github.rest.issues.addLabels({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              issue_number: context.issue.number,
-              labels,
-            });
+      - uses: redhat-plumbers-in-action/advanced-issue-labeler@v3
+        if: contains(github.event.issue.labels.*.name, 'enhancement')
+        with:
+          issue-form: ${{ steps.feature-parser.outputs.jsonString }}
+          section: component
+          token: ${{ secrets.GITHUB_TOKEN }}
+          config-path: .github/advanced-issue-labeler.yml

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

@@ -1,58 +0,0 @@
-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

.github/workflows/n8n-nodes-mem0-checks.yml

@@ -35,29 +35,6 @@ jobs:
       - name: Lint
         run: cd integrations/n8n-nodes-mem0 && pnpm run lint
 
-  test:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Install pnpm
-        uses: pnpm/action-setup@v4
-        with:
-          version: 9
-
-      - name: Setup Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: 20
-          cache: 'pnpm'
-          cache-dependency-path: integrations/n8n-nodes-mem0/pnpm-lock.yaml
-
-      - name: Install dependencies
-        run: cd integrations/n8n-nodes-mem0 && pnpm install --frozen-lockfile --ignore-scripts
-
-      - name: Run tests
-        run: cd integrations/n8n-nodes-mem0 && pnpm test
-
   build:
     runs-on: ubuntu-latest
     steps:

.github/workflows/pr-labeler.yml

@@ -1,64 +0,0 @@
-name: PR Labeler
-
-on:
-  pull_request_target:
-    types: [opened, synchronize, reopened, edited]
-
-concurrency:
-  group: pr-labeler-${{ github.event.pull_request.number }}
-  cancel-in-progress: true
-
-permissions:
-  contents: read
-  pull-requests: write
-  issues: read
-
-jobs:
-  label:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/labeler@v5
-        with:
-          repo-token: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Propagate labels from linked issues
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const allowed = new Set([
-              'sdk-python', 'sdk-typescript', 'vector-store', 'plugin',
-              'rest-api', 'documentation', 'ci', 'cli', 'integrations',
-            ]);
-            const umbrella = { plugin: 'integrations' };
-            const { repository } = await github.graphql(
-              `query ($owner: String!, $repo: String!, $number: Int!) {
-                repository(owner: $owner, name: $repo) {
-                  pullRequest(number: $number) {
-                    closingIssuesReferences(first: 20) {
-                      nodes { labels(first: 50) { nodes { name } } }
-                    }
-                  }
-                }
-              }`,
-              { owner: context.repo.owner, repo: context.repo.repo, number: context.issue.number },
-            );
-
-            const labels = new Set();
-            for (const issue of repository.pullRequest.closingIssuesReferences.nodes) {
-              for (const label of issue.labels.nodes) {
-                if (allowed.has(label.name)) labels.add(label.name);
-              }
-            }
-
-            for (const label of [...labels]) {
-              if (umbrella[label]) labels.add(umbrella[label]);
-            }
-
-            if (labels.size > 0) {
-              await github.rest.issues.addLabels({
-                owner: context.repo.owner,
-                repo: context.repo.repo,
-                issue_number: context.issue.number,
-                labels: [...labels],
-              });
-            }

.github/workflows/zapier-mem0-cd.yml

@@ -33,9 +33,6 @@ jobs:
       - name: Install dependencies
         run: pnpm install --frozen-lockfile
 
-      - name: Build TypeScript
-        run: pnpm build
-
       - name: Push to Zapier
         env:
           ZAPIER_DEPLOY_KEY: ${{ secrets.ZAPIER_DEPLOY_KEY }}

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

@@ -3,10 +3,10 @@ name: zapier-mem0 checks
 # On PRs this is invoked by ci-gate.yml (the single required check);
 # push-to-main and manual runs remain standalone.
 #
-# CI compiles the TypeScript app, runs `zapier validate` (offline schema + style
-# checks) against the build, plus the offline jest unit suite (test/unit.test.ts —
-# mocked z.request, no network). The end-to-end jest suite is skipped here because
-# it hits the live Mem0 API — it runs locally with MEM0_API_KEY set (see README).
+# CI runs `zapier validate` (offline schema + style checks) plus the offline
+# jest unit suite (test/unit.test.js — mocked z.request, no network). The
+# end-to-end jest suite is skipped here because it hits the live Mem0 API — it
+# runs locally with MEM0_API_KEY set (see the package README).
 on:
   workflow_dispatch:
   push:
@@ -37,9 +37,6 @@ jobs:
       - name: Install dependencies
         run: cd integrations/zapier-mem0 && pnpm install --frozen-lockfile
 
-      - name: Build TypeScript
-        run: cd integrations/zapier-mem0 && pnpm build
-
       - name: Validate Zapier app definition
         run: cd integrations/zapier-mem0 && npx zapier-platform-cli@19 validate
 

.kimi-plugin/marketplace.json

@@ -1,15 +0,0 @@
-{
-  "name": "mem0-plugins",
-  "version": "1",
-  "plugins": [
-    {
-      "id": "mem0",
-      "displayName": "Mem0",
-      "version": "0.1.0",
-      "description": "Persistent memory for Kimi Code. Remembers decisions, patterns, and preferences across sessions.",
-      "homepage": "https://mem0.ai",
-      "keywords": ["memory", "personalization", "mcp", "semantic-search"],
-      "source": "https://github.com/mem0ai/mem0/tree/main/integrations/mem0-plugin"
-    }
-  ]
-}

AGENTS.md

@@ -27,9 +27,8 @@ This is a **polyglot monorepo** containing Python and TypeScript packages, CLIs,
 | `integrations/openclaw/` | `@mem0/openclaw-mem0` — OpenClaw plugin for Claude Code / AI editors |
 | `integrations/pi-agent-plugin/` | `@mem0/pi-agent-plugin` — Pi Agent plugin |
 | `integrations/vercel-ai-sdk/` | `@mem0/vercel-ai-provider` — Vercel AI SDK memory provider |
-| `integrations/n8n-nodes-mem0/` | `@mem0/n8n-nodes-mem0` — n8n community node; add / search / get / update / delete memories |
-| `integrations/zapier-mem0/` | `@mem0/zapier` — Zapier Platform CLI app (deploys to Zapier, not npm); add / search / get / delete memories |
 | `server/` | FastAPI REST server for self-hosted Mem0 (Docker: FastAPI + PostgreSQL/pgvector + Neo4j) |
+| `openmemory/` | Self-hosted memory platform — `api/` (FastAPI + Alembic + MCP server) and `ui/` (Next.js 15 + React 19) |
 | `skills/` | Claude Code skill definitions. Reference skills (SDK knowledge, always-on): `mem0/`, `mem0-cli/`, `mem0-vercel-ai-sdk/`. Pipeline skills (run on demand): `mem0-integrate/`, `mem0-test-integration/`, `mem0-oss-to-platform/` |
 | `docs/` | Documentation site (Mintlify) |
 | `tests/` | Python SDK tests (pytest) |
@@ -63,7 +62,7 @@ integrations/openclaw/ ──▶ mem0ai (npm)
 - **Node.js**: v18+ (v20 or v22 recommended)
 - **pnpm**: v10+ (`npm install -g pnpm@10`) — used for all TypeScript packages
 - **Hatch**: Python build/environment tool (`pip install hatch`)
-- **Docker**: Required for `server/` development
+- **Docker**: Required for `server/` and `openmemory/` development
 
 ### Initial Setup
 
@@ -215,6 +214,28 @@ docker-compose up                  # starts all 3 services
 - **Services:** PostgreSQL with pgvector, Neo4j 5.x with APOC plugin
 - **Hot reload:** Dev Dockerfile mounts `server/` and `mem0/` for live changes
 
+### OpenMemory (`openmemory/`)
+
+```bash
+# Full stack via Docker Compose
+cd openmemory
+docker-compose up
+# Qdrant: localhost:6333
+# API (MCP): localhost:8765
+# UI: localhost:3000
+
+# Individual development
+cd openmemory/api && uvicorn main:app --reload       # FastAPI backend
+cd openmemory/ui && npm run dev                       # Next.js frontend
+
+# Tests
+cd openmemory/api && pytest tests/                   # API tests (e.g., test_mcp_server.py)
+```
+
+- **API:** FastAPI + Alembic (DB migrations) + MCP server (Model Context Protocol)
+- **UI:** Next.js 15, React 19, Radix UI, Redux Toolkit, TailwindCSS, Recharts
+- **Vector store:** Qdrant
+
 ### Documentation (`docs/`)
 
 ```bash
@@ -310,6 +331,7 @@ python -m benchmarks.beam.run --project-name my-test --backend cloud --mem0-api-
   - Root SDK: line length **120**
   - Python CLI: line length **100** with extended rule set (UP, B, SIM, RUF)
 - **isort** with `profile = "black"` for import sorting.
+- Ruff excludes `openmemory/` from root config.
 
 ### TypeScript Conventions
 
@@ -360,6 +382,7 @@ Optional layer on top of vector memory for relationship-aware retrieval. Configu
 Model Context Protocol support in multiple places:
 
 - **Remote:** MCP server at `mcp.mem0.ai`
+- **Local:** MCP server in `openmemory/api/` (FastAPI-based)
 - **Plugin:** MCP tools in `integrations/mem0-plugin/` — 9 tools: `add_memory`, `search_memories`, `get_memories`, `get_memory`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities`
 
 ### Plugin & Skills System
@@ -406,11 +429,10 @@ 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 |
-| Zapier App | `zapier-mem0-checks.yml` | Push to main (on `integrations/zapier-mem0/`), manual | build (tsc) + `zapier validate` + offline unit tests on Node 22 |
+| Zapier App | `zapier-mem0-checks.yml` | Push to main (on `integrations/zapier-mem0/`), manual | `zapier validate` (schema + style checks) on Node 20 |
 | docs llms.txt | `docs-llms-txt-check.yml` | Manual | `docs/llms.txt` coverage check |
 
 When adding a new package CI workflow: give it `workflow_call` (plus `push`/`workflow_dispatch` as needed, but no `pull_request` trigger), then register it in `ci-gate.yml` — a path filter under the `changes` job, a call job, and an entry in the gate job's `needs` list.
@@ -430,7 +452,7 @@ Publishing is routed through a single entry point: **`release.yml` (Release Rout
 | 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`) |
-| n8n Node | `n8n-nodes-mem0-cd.yml` | `n8n-nodes-mem0-v*` | npm (`@mem0/n8n-nodes-mem0`) |
+| n8n Node | `n8n-nodes-mem0-cd.yml` | `n8n-nodes-mem0-v*` | npm (`n8n-nodes-mem0`) |
 
 - Package CD workflows are `workflow_dispatch`-only (inputs: `tag`, `prerelease`); they check out and build the given tag. Registry trusted-publisher settings stay pinned to each package's own workflow filename.
 - All publishing uses **OIDC trusted publishing** — no tokens or secrets required.
@@ -444,7 +466,6 @@ Publishing is routed through a single entry point: **`release.yml` (Release Rout
 | Workflow | File | Purpose |
 |----------|------|---------|
 | Issue Labeler | `issue-labeler.yml` | Automatic issue labeling |
-| PR Labeler | `pr-labeler.yml` | Path-based PR labeling plus propagating labels from linked issues |
 | Stale Bot | `stale.yml` | Marks stale issues and PRs |
 | llms.txt Check | `docs-llms-txt-check.yml` | Blocks PRs touching `docs/**/*.mdx` when `docs/llms.txt` is out of sync. Fix locally with `python scripts/check-llms-txt-coverage.py --write`. |
 
@@ -567,7 +588,7 @@ N/A
 
 - Follow existing code patterns — don't introduce new frameworks or abstractions without discussion.
 - Version bumps go in `pyproject.toml` (Python) or `package.json` (TypeScript).
-- For `server/` work, use Docker Compose for local development.
+- For `server/` and `openmemory/` work, use Docker Compose for local development.
 - Do NOT use `pip` or `conda` for dependency management — use `hatch` (see `docs/contributing/development.mdx`).
 
 ### Contributing Guides
@@ -590,4 +611,5 @@ N/A
 - Use npm or yarn in TypeScript packages — this repo uses pnpm exclusively.
 - Use `require()` for imports in TypeScript — use ES module `import` syntax.
 - Mix up linter configs: root Python SDK uses line-length 120, Python CLI uses 100, Node CLI uses Biome (not ESLint/Ruff).
+- Modify `openmemory/` database migrations without understanding the Alembic migration chain.
 - Change public APIs without updating documentation in `docs/`.

CONTRIBUTING.md

@@ -45,7 +45,7 @@ The two most common contribution targets are the SDKs:
 | TypeScript SDK (`mem0ai`) | `mem0-ts/` | TypeScript | `pnpm`        |
 
 Other packages include the CLIs (`cli/python/`, `cli/node/`), integrations
-(`integrations/`), the self-hosted `server/`, and the docs site
+(`integrations/`), the self-hosted `server/`, `openmemory/`, and the docs site
 (`docs/`). See [AGENTS.md](./AGENTS.md) for a full map of the repository.
 
 ## Development Workflow

Makefile

@@ -11,7 +11,7 @@ install:
 	hatch env create
 
 install_all:
-	pip install ruff==0.16.0 groq together boto3 litellm ollama chromadb weaviate weaviate-client sentence_transformers vertexai \
+	pip install ruff==0.6.9 groq together boto3 litellm ollama chromadb weaviate weaviate-client sentence_transformers vertexai \
 	            google-generativeai elasticsearch opensearch-py vecs "pinecone<7.0.0" pinecone-text faiss-cpu langchain-community \
 							upstash-vector azure-search-documents langchain-memgraph langchain-neo4j langchain-aws rank-bm25 pymochow pymongo psycopg kuzu databricks-sdk valkey
 

SECURITY.md

@@ -21,7 +21,7 @@ privately through one of the following channels:
 To help us triage and resolve the issue quickly, please include as much of the
 following as you can:
 
-- Affected component or package (e.g. Python SDK, TypeScript SDK, server, CLI)
+- Affected component or package (e.g. Python SDK, TypeScript SDK, server, OpenMemory)
 - Affected version, tag, or commit
 - Clear, step-by-step reproduction instructions
 - The security impact and a proof of concept, if available

cli/README.md

@@ -60,8 +60,9 @@ 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, or `mem0 --version` to print the CLI version.
+Run `mem0 <command> --help` for detailed usage on any command.
 
 ## Agent mode
 

cli/cli-spec.json

@@ -207,11 +207,7 @@
         { "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": "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": "categories", "flags": ["--categories"], "type": "string", "help": "Categories (JSON array or comma-separated)." },
         { "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" }
@@ -248,9 +244,6 @@
         { "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" }
@@ -303,8 +296,6 @@
         { "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" }
@@ -338,8 +329,6 @@
       ],
       "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"
@@ -367,7 +356,6 @@
         { "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/AGENTS.md

@@ -1,41 +0,0 @@
-# Node CLI (`cli/node/`)
-
-The `@mem0/cli` package on npm. Commander-based, entry point `mem0`.
-
-## Commands
-
-```bash
-pnpm install
-pnpm run build        # tsup (ESM)
-pnpm run lint         # biome check src/
-pnpm run lint:fix     # biome check --write src/
-pnpm run typecheck    # tsc --noEmit
-pnpm run test         # vitest run
-pnpm run test:watch
-pnpm run dev          # tsx src/index.ts
-```
-
-pnpm only. Never npm, never yarn.
-
-## Conventions
-
-> **Biome, not ESLint. vitest, not jest.** `mem0-ts/` uses Prettier + jest and
-> `integrations/vercel-ai-sdk/` uses ESLint + jest. Running those tools here produces
-> spurious diffs. Every toolchain in this repo is per-package.
-
-- **Node 18+** required.
-- **Build:** tsup, ESM output only.
-- **Linter and formatter:** Biome, configured in `biome.json`.
-- **Tests:** vitest.
-- **TypeScript strict mode.** ES module `import` syntax only, never `require()`.
-
-Run `pnpm run typecheck` after every change.
-
-## Dependencies
-
-Commander + Chalk + ora + cli-table3, and `mem0ai` (npm) for API calls.
-
-## CI and release
-
-- CI: `cli-node-ci.yml`, Biome + tsc + vitest + tsup build on Node 20 and 22.
-- Release: tag prefix `cli-node-v*` dispatches `cli-node-cd.yml`, publishing to npm over OIDC.

cli/node/CLAUDE.md

@@ -1 +0,0 @@
-AGENTS.md

cli/node/README.md

@@ -232,6 +232,14 @@ 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:
@@ -290,8 +298,6 @@ 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": "0.2.12",
+  "version": "0.2.11",
   "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",
-      "esbuild": ">=0.28.1",
-      "postcss@<8.5.18": ">=8.5.18 <9.0.0"
+      "postcss@<8.5.10": ">=8.5.10",
+      "esbuild": ">=0.28.1"
     }
   }
 }

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@8.5.23)(tsx@4.21.0)(typescript@5.9.3)
+        version: 8.5.1(postcss@8.5.15)(tsx@4.21.0)(typescript@5.9.3)
       tsx:
         specifier: ^4.7.0
         version: 4.21.0
@@ -78,28 +78,24 @@ packages:
     engines: {node: '>=14.21.3'}
     cpu: [arm64]
     os: [linux]
-    libc: [musl]
 
   '@biomejs/cli-linux-arm64@1.9.4':
     resolution: {integrity: sha512-fJIW0+LYujdjUgJJuwesP4EjIBl/N/TcOX3IvIHJQNsAqvV2CHIogsmA94BPG6jZATS4Hi+xv4SkBBQSt1N4/g==}
     engines: {node: '>=14.21.3'}
     cpu: [arm64]
     os: [linux]
-    libc: [glibc]
 
   '@biomejs/cli-linux-x64-musl@1.9.4':
     resolution: {integrity: sha512-gEhi/jSBhZ2m6wjV530Yy8+fNqG8PAinM3oV7CyO+6c3CEh16Eizm21uHVsyVBEB6RIM8JHIl6AGYCv6Q6Q9Tg==}
     engines: {node: '>=14.21.3'}
     cpu: [x64]
     os: [linux]
-    libc: [musl]
 
   '@biomejs/cli-linux-x64@1.9.4':
     resolution: {integrity: sha512-lRCJv/Vi3Vlwmbd6K+oQ0KhLHMAysN8lXoCI7XeHlxaajk06u7G+UsFSO01NAs5iYuWKmVZjmiOzJ0OJmGsMwg==}
     engines: {node: '>=14.21.3'}
     cpu: [x64]
     os: [linux]
-    libc: [glibc]
 
   '@biomejs/cli-win32-arm64@1.9.4':
     resolution: {integrity: sha512-tlbhLk+WXZmgwoIKwHIHEBZUwxml7bRJgk0X2sPyNR3S93cdRq6XulAZRQJ17FYGGzWne0fgrXBKpl7l4M87Hg==}
@@ -320,79 +316,66 @@ packages:
     resolution: {integrity: sha512-RzeBwv0B3qtVBWtcuABtSuCzToo2IEAIQrcyB/b2zMvBWVbjo8bZDjACUpnaafaxhTw2W+imQbP2BD1usasK4g==}
     cpu: [arm]
     os: [linux]
-    libc: [glibc]
 
   '@rollup/rollup-linux-arm-musleabihf@4.60.0':
     resolution: {integrity: sha512-Sf7zusNI2CIU1HLzuu9Tc5YGAHEZs5Lu7N1ssJG4Tkw6e0MEsN7NdjUDDfGNHy2IU+ENyWT+L2obgWiguWibWQ==}
     cpu: [arm]
     os: [linux]
-    libc: [musl]
 
   '@rollup/rollup-linux-arm64-gnu@4.60.0':
     resolution: {integrity: sha512-DX2x7CMcrJzsE91q7/O02IJQ5/aLkVtYFryqCjduJhUfGKG6yJV8hxaw8pZa93lLEpPTP/ohdN4wFz7yp/ry9A==}
     cpu: [arm64]
     os: [linux]
-    libc: [glibc]
 
   '@rollup/rollup-linux-arm64-musl@4.60.0':
     resolution: {integrity: sha512-09EL+yFVbJZlhcQfShpswwRZ0Rg+z/CsSELFCnPt3iK+iqwGsI4zht3secj5vLEs957QvFFXnzAT0FFPIxSrkQ==}
     cpu: [arm64]
     os: [linux]
-    libc: [musl]
 
   '@rollup/rollup-linux-loong64-gnu@4.60.0':
     resolution: {integrity: sha512-i9IcCMPr3EXm8EQg5jnja0Zyc1iFxJjZWlb4wr7U2Wx/GrddOuEafxRdMPRYVaXjgbhvqalp6np07hN1w9kAKw==}
     cpu: [loong64]
     os: [linux]
-    libc: [glibc]
 
   '@rollup/rollup-linux-loong64-musl@4.60.0':
     resolution: {integrity: sha512-DGzdJK9kyJ+B78MCkWeGnpXJ91tK/iKA6HwHxF4TAlPIY7GXEvMe8hBFRgdrR9Ly4qebR/7gfUs9y2IoaVEyog==}
     cpu: [loong64]
     os: [linux]
-    libc: [musl]
 
   '@rollup/rollup-linux-ppc64-gnu@4.60.0':
     resolution: {integrity: sha512-RwpnLsqC8qbS8z1H1AxBA1H6qknR4YpPR9w2XX0vo2Sz10miu57PkNcnHVaZkbqyw/kUWfKMI73jhmfi9BRMUQ==}
     cpu: [ppc64]
     os: [linux]
-    libc: [glibc]
 
   '@rollup/rollup-linux-ppc64-musl@4.60.0':
     resolution: {integrity: sha512-Z8pPf54Ly3aqtdWC3G4rFigZgNvd+qJlOE52fmko3KST9SoGfAdSRCwyoyG05q1HrrAblLbk1/PSIV+80/pxLg==}
     cpu: [ppc64]
     os: [linux]
-    libc: [musl]
 
   '@rollup/rollup-linux-riscv64-gnu@4.60.0':
     resolution: {integrity: sha512-3a3qQustp3COCGvnP4SvrMHnPQ9d1vzCakQVRTliaz8cIp/wULGjiGpbcqrkv0WrHTEp8bQD/B3HBjzujVWLOA==}
     cpu: [riscv64]
     os: [linux]
-    libc: [glibc]
 
   '@rollup/rollup-linux-riscv64-musl@4.60.0':
     resolution: {integrity: sha512-pjZDsVH/1VsghMJ2/kAaxt6dL0psT6ZexQVrijczOf+PeP2BUqTHYejk3l6TlPRydggINOeNRhvpLa0AYpCWSQ==}
     cpu: [riscv64]
     os: [linux]
-    libc: [musl]
 
   '@rollup/rollup-linux-s390x-gnu@4.60.0':
     resolution: {integrity: sha512-3ObQs0BhvPgiUVZrN7gqCSvmFuMWvWvsjG5ayJ3Lraqv+2KhOsp+pUbigqbeWqueGIsnn+09HBw27rJ+gYK4VQ==}
     cpu: [s390x]
     os: [linux]
-    libc: [glibc]
 
   '@rollup/rollup-linux-x64-gnu@4.60.0':
     resolution: {integrity: sha512-EtylprDtQPdS5rXvAayrNDYoJhIz1/vzN2fEubo3yLE7tfAw+948dO0g4M0vkTVFhKojnF+n6C8bDNe+gDRdTg==}
     cpu: [x64]
     os: [linux]
-    libc: [glibc]
 
   '@rollup/rollup-linux-x64-musl@4.60.0':
     resolution: {integrity: sha512-k09oiRCi/bHU9UVFqD17r3eJR9bn03TyKraCrlz5ULFJGdJGi7VOmm9jl44vOJvRJ6P7WuBi/s2A97LxxHGIdw==}
     cpu: [x64]
     os: [linux]
-    libc: [musl]
 
   '@rollup/rollup-openbsd-x64@4.60.0':
     resolution: {integrity: sha512-1o/0/pIhozoSaDJoDcec+IVLbnRtQmHwPV730+AOD29lHEEo4F5BEUB24H0OBdhbBBDwIOSuf7vgg0Ywxdfiiw==}
@@ -670,8 +653,8 @@ packages:
   mz@2.7.0:
     resolution: {integrity: sha512-z81GNO7nnYMEhrGh9LeymoE4+Yr0Wn5McHIZMK5cfQCl+NDX08sCZgUc9/6MHni9IWuFLm1Z3HTCXu2z9fN62Q==}
 
-  nanoid@3.3.16:
-    resolution: {integrity: sha512-bzlKTyNJ7+LdGIIwy8ijFpIqEQIvafahV7eYykJ8Cvh42EdJeODoJ6gUJXpQJvej1BddH8OqTXZNE/KfbWAu8Q==}
+  nanoid@3.3.12:
+    resolution: {integrity: sha512-ZB9RH/39qpq5Vu6Y+NmUaFhQR6pp+M2Xt76XBnEwDaGcVAqhlvxrl3B2bKS5D3NH3QR76v3aSrKaF/Kiy7lEtQ==}
     engines: {node: ^10 || ^12 || ^13.7 || ^14 || >=15.0.1}
     hasBin: true
 
@@ -712,7 +695,7 @@ packages:
     engines: {node: '>= 18'}
     peerDependencies:
       jiti: '>=1.21.0'
-      postcss: '>=8.5.18 <9.0.0'
+      postcss: '>=8.5.10'
       tsx: ^4.8.1
       yaml: ^2.4.2
     peerDependenciesMeta:
@@ -725,8 +708,8 @@ packages:
       yaml:
         optional: true
 
-  postcss@8.5.23:
-    resolution: {integrity: sha512-g50586zr4bZmwFiTlflMu8E0bDTb5I5gertgwAKmsdUlTQIhZtunzUlD1WSzwcVWPoAVpsrA6vlfCD7oXvRwgg==}
+  postcss@8.5.15:
+    resolution: {integrity: sha512-FfR8sjd4em2T6fb3I2MwAJU7HWVMr9zba+enmQeeWFfCbm+UOC/0X4DS8XtpUTMwWMGbjKYP7xjfNekzyGmB3A==}
     engines: {node: ^10 || ^12 || >=14}
 
   readdirp@4.1.2:
@@ -838,7 +821,7 @@ packages:
     peerDependencies:
       '@microsoft/api-extractor': ^7.36.0
       '@swc/core': ^1
-      postcss: '>=8.5.18 <9.0.0'
+      postcss: '>=8.5.10'
       typescript: '>=4.5.0'
     peerDependenciesMeta:
       '@microsoft/api-extractor':
@@ -1405,7 +1388,7 @@ snapshots:
       object-assign: 4.1.1
       thenify-all: 1.6.0
 
-  nanoid@3.3.16: {}
+  nanoid@3.3.12: {}
 
   object-assign@4.1.1: {}
 
@@ -1441,16 +1424,16 @@ snapshots:
       mlly: 1.8.2
       pathe: 2.0.3
 
-  postcss-load-config@6.0.1(postcss@8.5.23)(tsx@4.21.0):
+  postcss-load-config@6.0.1(postcss@8.5.15)(tsx@4.21.0):
     dependencies:
       lilconfig: 3.1.3
     optionalDependencies:
-      postcss: 8.5.23
+      postcss: 8.5.15
       tsx: 4.21.0
 
-  postcss@8.5.23:
+  postcss@8.5.15:
     dependencies:
-      nanoid: 3.3.16
+      nanoid: 3.3.12
       picocolors: 1.1.1
       source-map-js: 1.2.1
 
@@ -1571,7 +1554,7 @@ snapshots:
 
   ts-interface-checker@0.1.13: {}
 
-  tsup@8.5.1(postcss@8.5.23)(tsx@4.21.0)(typescript@5.9.3):
+  tsup@8.5.1(postcss@8.5.15)(tsx@4.21.0)(typescript@5.9.3):
     dependencies:
       bundle-require: 5.1.0(esbuild@0.28.1)
       cac: 6.7.14
@@ -1582,7 +1565,7 @@ snapshots:
       fix-dts-default-cjs-exports: 1.0.1
       joycon: 3.1.1
       picocolors: 1.1.1
-      postcss-load-config: 6.0.1(postcss@8.5.23)(tsx@4.21.0)
+      postcss-load-config: 6.0.1(postcss@8.5.15)(tsx@4.21.0)
       resolve-from: 5.0.0
       rollup: 4.60.0
       source-map: 0.7.6
@@ -1591,7 +1574,7 @@ snapshots:
       tinyglobby: 0.2.15
       tree-kill: 1.2.2
     optionalDependencies:
-      postcss: 8.5.23
+      postcss: 8.5.15
       typescript: 5.9.3
     transitivePeerDependencies:
       - jiti
@@ -1619,7 +1602,7 @@ snapshots:
       esbuild: 0.28.1
       fdir: 6.5.0(picomatch@4.0.4)
       picomatch: 4.0.4
-      postcss: 8.5.23
+      postcss: 8.5.15
       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

@@ -14,11 +14,7 @@ export interface AddOptions {
 	immutable?: boolean;
 	infer?: boolean;
 	expires?: string;
-	customInstructions?: string;
-	agentCustomInstructions?: string;
-	customCategories?: Record<string, string>[];
-	structuredDataSchema?: Record<string, unknown>;
-	timestamp?: number;
+	categories?: string[];
 }
 
 export interface SearchOptions {
@@ -32,9 +28,6 @@ export interface SearchOptions {
 	keyword?: boolean;
 	filters?: Record<string, unknown>;
 	fields?: string[];
-	showExpired?: boolean;
-	referenceDate?: string | number;
-	latestOnly?: boolean;
 }
 
 export interface ListOptions {
@@ -47,8 +40,6 @@ export interface ListOptions {
 	category?: string;
 	after?: string;
 	before?: string;
-	showExpired?: boolean;
-	latestOnly?: boolean;
 }
 
 export interface DeleteOptions {
@@ -57,12 +48,6 @@ export interface DeleteOptions {
 	agentId?: string;
 	appId?: string;
 	runId?: string;
-	deleteLinked?: boolean;
-}
-
-export interface UpdateOptions {
-	expirationDate?: string;
-	timestamp?: number;
 }
 
 export interface EntityIds {
@@ -92,7 +77,6 @@ export interface Backend {
 		memoryId: string,
 		content?: string,
 		metadata?: Record<string, unknown>,
-		opts?: UpdateOptions,
 	): Promise<Record<string, unknown>>;
 
 	delete(

cli/node/src/backend/platform.ts

@@ -15,7 +15,6 @@ import {
 	type ListOptions,
 	NotFoundError,
 	type SearchOptions,
-	type UpdateOptions,
 } from "./base.js";
 
 function encodePathSegment(value: unknown): string {
@@ -151,15 +150,7 @@ 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.customInstructions)
-			payload.custom_instructions = opts.customInstructions;
-		if (opts.agentCustomInstructions)
-			payload.agent_custom_instructions = opts.agentCustomInstructions;
-		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;
+		if (opts.categories) payload.categories = opts.categories;
 		payload.source = "CLI";
 
 		return (await this._request("POST", "/v3/memories/add/", {
@@ -220,10 +211,6 @@ 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/", {
@@ -278,8 +265,6 @@ 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/", {
@@ -295,13 +280,10 @@ 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",
@@ -327,12 +309,12 @@ 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 },
+				{
+					params: { source: "CLI" },
+				},
 			)) as Record<string, unknown>;
 		}
 		throw new Error("Either memoryId or --all is required");

cli/node/src/commands/memory.ts

@@ -21,19 +21,16 @@ import {
 	formatSingleMemory,
 	printResultSummary,
 } from "../output.js";
-import { isAgentMode, setCurrentCommand, stdinIsPiped } from "../state.js";
+import { isAgentMode, setCurrentCommand } from "../state.js";
 
-/** 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);
+/** 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;
 	}
 }
 
@@ -52,23 +49,10 @@ export async function cmdAdd(
 		infer?: boolean;
 		expires?: string;
 		categories?: string;
-		customInstructions?: string;
-		agentCustomInstructions?: 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;
 
@@ -94,7 +78,7 @@ 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();
 	}
 
@@ -109,6 +93,20 @@ 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 {
@@ -119,28 +117,15 @@ export async function cmdAdd(
 		}
 	}
 
-	let customCats: Record<string, string>[] | undefined;
-	if (opts.customCategories) {
+	let cats: string[] | undefined;
+	if (opts.categories) {
 		try {
-			customCats = JSON.parse(opts.customCategories);
+			cats = JSON.parse(opts.categories);
 		} catch {
-			printError("Invalid JSON in --custom-categories.");
-			process.exit(1);
+			cats = opts.categories.split(",").map((c) => c.trim());
 		}
 	}
 
-	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 () => {
@@ -153,11 +138,7 @@ export async function cmdAdd(
 				immutable: opts.immutable,
 				infer: opts.infer !== false,
 				expires: opts.expires,
-				customInstructions: opts.customInstructions,
-				agentCustomInstructions: opts.agentCustomInstructions,
-				customCategories: customCats,
-				structuredDataSchema: schema,
-				timestamp: opts.timestamp,
+				categories: cats,
 			});
 		});
 	} catch (e) {
@@ -242,9 +223,6 @@ export async function cmdSearch(
 		keyword: boolean;
 		filterJson?: string;
 		fields?: string;
-		showExpired?: boolean;
-		referenceDate?: string;
-		latestOnly?: boolean;
 		output: string;
 	},
 ): Promise<void> {
@@ -293,9 +271,6 @@ export async function cmdSearch(
 				keyword: opts.keyword,
 				filters,
 				fields: fieldList,
-				showExpired: opts.showExpired,
-				referenceDate: opts.referenceDate,
-				latestOnly: opts.latestOnly,
 			});
 		});
 	} catch (e) {
@@ -389,8 +364,6 @@ export async function cmdList(
 		category?: string;
 		after?: string;
 		before?: string;
-		showExpired?: boolean;
-		latestOnly?: boolean;
 		output: string;
 	},
 ): Promise<void> {
@@ -418,8 +391,6 @@ export async function cmdList(
 				category: opts.category,
 				after: opts.after,
 				before: opts.before,
-				showExpired: opts.showExpired,
-				latestOnly: opts.latestOnly,
 			});
 		});
 	} catch (e) {
@@ -479,12 +450,7 @@ export async function cmdUpdate(
 	backend: Backend,
 	memoryId: string,
 	text: string | undefined,
-	opts: {
-		metadata?: string;
-		expires?: string;
-		timestamp?: number;
-		output: string;
-	},
+	opts: { metadata?: string; output: string },
 ): Promise<void> {
 	setCurrentCommand("update");
 	let meta: Record<string, unknown> | undefined;
@@ -497,16 +463,11 @@ 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, {
-				expirationDate: opts.expires,
-				timestamp: opts.timestamp,
-			});
+			return backend.update(memoryId, text, meta);
 		});
 	} catch (e) {
 		printError(e instanceof Error ? e.message : String(e));
@@ -532,12 +493,7 @@ export async function cmdUpdate(
 export async function cmdDelete(
 	backend: Backend,
 	memoryId: string,
-	opts: {
-		output: string;
-		dryRun?: boolean;
-		force?: boolean;
-		deleteLinked?: boolean;
-	},
+	opts: { output: string; dryRun?: boolean; force?: boolean },
 ): Promise<void> {
 	setCurrentCommand("delete");
 	if (opts.dryRun) {
@@ -558,7 +514,7 @@ export async function cmdDelete(
 	let result: Record<string, unknown>;
 	try {
 		result = await timedStatus("Deleting...", async () => {
-			return backend.delete(memoryId, { deleteLinked: opts.deleteLinked });
+			return backend.delete(memoryId);
 		});
 	} catch (e) {
 		printError(e instanceof Error ? e.message : String(e));

cli/node/src/commands/utils.ts

@@ -1,5 +1,5 @@
 /**
- * Utility commands: status, import.
+ * Utility commands: status, version, import.
  */
 
 import fs from "node:fs";
@@ -8,6 +8,7 @@ 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;
 
@@ -81,6 +82,10 @@ 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

@@ -17,7 +17,6 @@ import {
 	isAgentMode,
 	setAgentMode,
 	setCurrentCommand,
-	stdinIsPiped,
 	takeNotice,
 } from "./state.js";
 import { captureEvent } from "./telemetry.js";
@@ -320,29 +319,7 @@ 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>",
-		"Not supported on add, use --custom-categories instead.",
-	)
-	.option(
-		"--custom-instructions <text>",
-		"Custom instructions for fact extraction.",
-	)
-	.option(
-		"--agent-custom-instructions <text>",
-		"Extraction instructions for agent-scoped memories, overriding the project setting.",
-	)
-	.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("--categories <value>", "Categories (JSON array or comma-separated).")
 	.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.")
@@ -389,16 +366,6 @@ 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.")
@@ -408,7 +375,7 @@ program
 	)
 	.action(async (query, opts) => {
 		let resolvedQuery = query;
-		if (!resolvedQuery && stdinIsPiped()) {
+		if (!resolvedQuery && !process.stdin.isTTY) {
 			resolvedQuery = fs.readFileSync(0, "utf-8").trim();
 		}
 		if (!resolvedQuery) {
@@ -431,9 +398,6 @@ program
 			keyword: opts.keyword,
 			filterJson: opts.filter,
 			fields: opts.fields,
-			showExpired: opts.showExpired,
-			referenceDate: opts.referenceDate,
-			latestOnly: opts.latestOnly,
 			output,
 		});
 	});
@@ -477,12 +441,6 @@ 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.")
@@ -506,8 +464,6 @@ program
 			category: opts.category,
 			after: opts.after,
 			before: opts.before,
-			showExpired: opts.showExpired,
-			latestOnly: opts.latestOnly,
 			output,
 		});
 	});
@@ -518,10 +474,6 @@ 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.")
@@ -531,7 +483,7 @@ program
 	)
 	.action(async (memoryId, text, opts) => {
 		let resolvedText = text;
-		if (!resolvedText && stdinIsPiped()) {
+		if (!resolvedText && !opts.metadata && !process.stdin.isTTY) {
 			resolvedText = fs.readFileSync(0, "utf-8").trim();
 		}
 		const { cmdUpdate } = await import("./commands/memory.js");
@@ -540,8 +492,6 @@ program
 		const output = isAgent ? "agent" : opts.output;
 		await cmdUpdate(backend, memoryId, resolvedText, {
 			metadata: opts.metadata,
-			expires: opts.expires,
-			timestamp: opts.timestamp,
 			output,
 		});
 	});
@@ -560,11 +510,6 @@ 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.")
@@ -618,7 +563,6 @@ program
 				output,
 				dryRun: opts.dryRun,
 				force: opts.force,
-				deleteLinked: opts.deleteLinked,
 			});
 			return;
 		}
@@ -862,8 +806,8 @@ 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/.agent is set when a root global flag was used first.
-		if (opts.json || program.opts().json || program.opts().agent) {
+		// program.opts().json is set when the root --json global flag was used first.
+		if (opts.json || program.opts().json) {
 			// 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

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

cli/node/src/state.ts

@@ -3,8 +3,6 @@
  * read by commands and branding functions.
  */
 
-import fs from "node:fs";
-
 let _agentMode = false;
 let _currentCommand = "";
 let _pendingNotice = "";
@@ -40,14 +38,3 @@ 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

@@ -44,25 +44,15 @@ describe("CLI Integration — help and version", () => {
     expect(result.stdout).toContain("search");
   });
 
-  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("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.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

@@ -1,164 +0,0 @@
-/**
- * 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"],
-	agent_custom_instructions: ["--agent-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

@@ -7,236 +7,94 @@ import { PlatformBackend } from "../src/backend/platform.js";
 import { createDefaultConfig } from "../src/config.js";
 
 function makeBackend(): PlatformBackend {
-	return new PlatformBackend(createDefaultConfig().platform);
+  // apiKey/baseUrl only build request headers; every test spies on _request,
+  // so no real network calls are made.
+  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" });
 
-		expect(result).toEqual({
-			user: { message: "user deleted" },
-			agent: { message: "agent deleted" },
-		});
-		expect(spy).toHaveBeenCalledTimes(2);
-	});
+    // Regression: previously only the last entity's response survived.
+    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",
-		);
-	});
-});
-
-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.",
-			agentCustomInstructions: "Extract only tool outcomes.",
-			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.agent_custom_instructions).toBe(
-			"Extract only tool outcomes.",
-		);
-		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("agent_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();
-	});
+  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 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/AGENTS.md

@@ -1,47 +0,0 @@
-# Python CLI (`cli/python/`)
-
-The `mem0-cli` package on PyPI. Typer-based, entry point `mem0`.
-
-## Commands
-
-```bash
-pip install -e ".[dev]"   # dev install: ruff + pytest
-ruff check .              # lint
-ruff format .             # format
-pytest                    # test
-hatch build               # build
-```
-
-## Conventions
-
-> **Line length is 100 here, not 120.** The root Python SDK uses 120. Running the root
-> `make format` over this directory reformats every file and fails CI. Use the local
-> `ruff` invocations above.
-
-- **Python 3.10+.** Not 3.9, unlike the root SDK.
-- **Ruff** with an extended rule set: `E`, `F`, `I`, `W`, `UP`, `B`, `SIM`, `RUF`.
-  Ignores `E501` (formatter handles it), `B008` (required by Typer's argument defaults),
-  and `SIM108`.
-- **Ruff format:** double quotes, space indent, `docstring-code-format = true`.
-- **isort** first-party is `mem0_cli` only.
-- **pytest** for tests.
-- Target version pinned to `py310`.
-
-## Layout
-
-```
-cli/python/
-├── src/mem0_cli/     package source (src layout)
-└── tests/
-```
-
-Entry point: `mem0 = "mem0_cli.app:main"`.
-
-## Dependencies
-
-Typer + Rich + httpx. `mem0ai` is **optional**, exposed through the `[oss]` extra for OSS mode. Do not promote it to a required dependency.
-
-## CI and release
-
-- CI: `cli-python-ci.yml`, ruff + pytest + `hatch build` on Python 3.10, 3.11, 3.12.
-- Release: tag prefix `cli-v*` dispatches `cli-python-cd.yml`, publishing to PyPI over OIDC.

cli/python/CLAUDE.md

@@ -1 +0,0 @@
-AGENTS.md

cli/python/README.md

@@ -241,6 +241,14 @@ 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:
@@ -299,8 +307,6 @@ 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 = "0.2.11"
+version = "0.2.10"
 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__ = "0.2.11"
+__version__ = "0.2.10"

cli/python/src/mem0_cli/app.py

@@ -273,26 +273,7 @@ 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="Not supported on add, use --custom-categories instead."
-    ),
-    custom_instructions: str | None = typer.Option(
-        None, "--custom-instructions", help="Custom instructions for fact extraction."
-    ),
-    agent_custom_instructions: str | None = typer.Option(
-        None,
-        "--agent-custom-instructions",
-        help="Extraction instructions for agent-scoped memories, overriding the project setting.",
-    ),
-    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."
+        None, "--categories", help="Categories (JSON array or comma-separated)."
     ),
     output: str = typer.Option(
         "text", "--output", "-o", help="Output format: text, json, quiet.", rich_help_panel="Output"
@@ -331,11 +312,6 @@ def add(
         no_infer=no_infer,
         expires=expires,
         categories=categories,
-        custom_instructions=custom_instructions,
-        agent_custom_instructions=agent_custom_instructions,
-        custom_categories=custom_categories,
-        structured_data_schema=structured_data_schema,
-        timestamp=timestamp,
         output=output,
     )
 
@@ -379,21 +355,6 @@ 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"
     ),
@@ -437,9 +398,6 @@ def search(
         keyword=keyword,
         filter_json=filter_json,
         fields=fields,
-        show_expired=show_expired,
-        reference_date=reference_date,
-        latest_only=latest_only,
         output=output,
     )
 
@@ -506,15 +464,6 @@ 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"
     ),
@@ -548,8 +497,6 @@ def list_cmd(
         category=category,
         after=after,
         before=before,
-        show_expired=show_expired,
-        latest_only=latest_only,
         output=output,
     )
 
@@ -562,10 +509,6 @@ 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"
     ),
@@ -594,15 +537,7 @@ def update(
         text = _read_stdin()
 
     backend = _get_backend(api_key, base_url)
-    cmd_update(
-        backend,
-        memory_id,
-        text,
-        metadata=metadata,
-        expires=expires,
-        timestamp=timestamp,
-        output=output,
-    )
+    cmd_update(backend, memory_id, text, metadata=metadata, output=output)
 
 
 # ── Memory: delete ────────────────────────────────────────────────────────
@@ -624,9 +559,6 @@ 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"
     ),
@@ -684,14 +616,7 @@ 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,
-            delete_linked=delete_linked,
-            output=output,
-        )
+        cmd_delete(backend, memory_id, dry_run=dry_run, force=force, output=output)
 
     elif all_:
         _fire_telemetry("delete", {"delete_mode": "all"})
@@ -1143,12 +1068,7 @@ def _build_help_json() -> dict:
                 "--immutable": "Prevent future updates.",
                 "--no-infer": "Skip inference, store raw.",
                 "--expires": "Expiration date (YYYY-MM-DD).",
-                "--categories": "Not supported on add, use --custom-categories instead.",
-                "--custom-instructions": "Custom instructions for fact extraction.",
-                "--agent-custom-instructions": "Extraction instructions for agent-scoped memories, overriding the project setting.",
-                "--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.",
+                "--categories": "Categories (JSON array or comma-separated).",
                 "--graph": "Enable graph memory extraction.",
                 "--no-graph": "Disable graph memory extraction.",
                 "--output, -o": "Output format: text, json, quiet.",
@@ -1167,9 +1087,6 @@ 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.",
@@ -1193,8 +1110,6 @@ 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.",
@@ -1209,8 +1124,6 @@ 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.",
             },
         },
@@ -1227,7 +1140,6 @@ 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.",
@@ -1357,10 +1269,8 @@ def help(
       mem0 help
       mem0 help --json
     """
-    from mem0_cli.state import is_agent_mode
-
-    if json or is_agent_mode():
-        console.print_json(_json.dumps(_build_help_json()))
+    if json:
+        console.print(_json.dumps(_build_help_json(), indent=2))
     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

@@ -25,11 +25,7 @@ class Backend(ABC):
         immutable: bool = False,
         infer: bool = True,
         expires: str | None = None,
-        custom_instructions: str | None = None,
-        agent_custom_instructions: str | None = None,
-        custom_categories: list[dict] | None = None,
-        structured_data_schema: dict | None = None,
-        timestamp: int | None = None,
+        categories: list[str] | None = None,
     ) -> dict: ...
 
     @abstractmethod
@@ -47,9 +43,6 @@ 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
@@ -68,19 +61,11 @@ 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,
-        *,
-        expiration_date: str | None = None,
-        timestamp: int | None = None,
+        self, memory_id: str, content: str | None = None, metadata: dict | None = None
     ) -> dict: ...
 
     @abstractmethod
@@ -93,7 +78,6 @@ 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

@@ -87,11 +87,7 @@ class PlatformBackend(Backend):
         immutable: bool = False,
         infer: bool = True,
         expires: str | None = None,
-        custom_instructions: str | None = None,
-        agent_custom_instructions: str | None = None,
-        custom_categories: list[dict] | None = None,
-        structured_data_schema: dict | None = None,
-        timestamp: int | None = None,
+        categories: list[str] | None = None,
     ) -> dict:
         payload: dict[str, Any] = {}
 
@@ -116,16 +112,8 @@ class PlatformBackend(Backend):
             payload["infer"] = False
         if expires:
             payload["expiration_date"] = expires
-        if custom_instructions:
-            payload["custom_instructions"] = custom_instructions
-        if agent_custom_instructions:
-            payload["agent_custom_instructions"] = agent_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
+        if categories:
+            payload["categories"] = categories
         payload["source"] = "CLI"
 
         return self._request("POST", "/v3/memories/add/", json=payload)
@@ -185,9 +173,6 @@ 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}
 
@@ -206,12 +191,6 @@ 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)
@@ -240,8 +219,6 @@ 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)}
@@ -264,10 +241,6 @@ 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)
@@ -278,23 +251,13 @@ class PlatformBackend(Backend):
         )
 
     def update(
-        self,
-        memory_id: str,
-        content: str | None = None,
-        metadata: dict | None = None,
-        *,
-        expiration_date: str | None = None,
-        timestamp: int | None = None,
+        self, memory_id: str, content: str | None = None, metadata: dict | 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",
@@ -311,7 +274,6 @@ 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"}
@@ -325,13 +287,10 @@ 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=params,
+                params={"source": "CLI"},
             )
         else:
             raise ValueError("Either memory_id or --all is required")

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

@@ -4,11 +4,9 @@ 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
@@ -49,18 +47,6 @@ 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,
@@ -76,11 +62,6 @@ def cmd_add(
     no_infer: bool,
     expires: str | None,
     categories: str | None,
-    custom_instructions: str | None = None,
-    agent_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."""
@@ -89,13 +70,6 @@ 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
 
@@ -134,24 +108,27 @@ def cmd_add(
             print_error(err_console, "Invalid JSON in --metadata.")
             raise typer.Exit(1) from None
 
-    custom_cats = None
-    if custom_categories:
+    cats = None
+    if categories:
         try:
-            custom_cats = json.loads(custom_categories)
+            cats = json.loads(categories)
         except json.JSONDecodeError:
-            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
+            cats = [c.strip() for c in categories.split(",")]
 
+    # Validate --expires
     if expires:
-        _validate_expires(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)
 
     with timed_status(err_console, "Adding memory...") as ts:
         try:
@@ -166,11 +143,7 @@ def cmd_add(
                 immutable=immutable,
                 infer=not no_infer,
                 expires=expires,
-                custom_instructions=custom_instructions,
-                agent_custom_instructions=agent_custom_instructions,
-                custom_categories=custom_cats,
-                structured_data_schema=schema,
-                timestamp=timestamp,
+                categories=cats,
             )
         except Exception as e:
             ts.error_msg = str(e)
@@ -251,9 +224,6 @@ 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."""
@@ -296,9 +266,6 @@ 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))
@@ -385,8 +352,6 @@ 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."""
@@ -415,8 +380,6 @@ 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))
@@ -483,8 +446,6 @@ def cmd_update(
     text: str | None,
     *,
     metadata: str | None,
-    expires: str | None = None,
-    timestamp: int | None = None,
     output: str,
 ) -> None:
     """Update a memory."""
@@ -501,19 +462,10 @@ 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,
-                expiration_date=expires,
-                timestamp=timestamp,
-            )
+            result = backend.update(memory_id, content=text, metadata=meta)
         except Exception as e:
             print_error(err_console, str(e))
             raise typer.Exit(1) from None
@@ -538,7 +490,6 @@ def cmd_delete(
     *,
     dry_run: bool = False,
     force: bool = False,
-    delete_linked: bool = False,
     output: str,
 ) -> None:
     """Delete a single memory by ID."""
@@ -561,7 +512,7 @@ def cmd_delete(
     _start = _time.perf_counter()
     with timed_status(err_console, "Deleting...") as _ts:
         try:
-            result = backend.delete(memory_id=memory_id, delete_linked=delete_linked)
+            result = backend.delete(memory_id=memory_id)
         except Exception as e:
             print_error(err_console, str(e))
             raise typer.Exit(1) from None

cli/python/src/mem0_cli/output.py

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

cli/python/tests/test_cli_integration.py

@@ -7,7 +7,6 @@ boundaries).
 
 from __future__ import annotations
 
-import json
 import os
 import re
 import subprocess
@@ -85,31 +84,6 @@ 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

@@ -252,13 +252,12 @@ class TestAddCommand:
             )
         mock_backend.add.assert_called_once()
 
-    def test_add_categories_rejected(self, mock_backend):
+    def test_add_categories_csv(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,
@@ -276,93 +275,7 @@ class TestAddCommand:
                 categories="health,prefs",
                 output="text",
             )
-        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"}]
+        mock_backend.add.assert_called_once()
 
 
 class TestAddDeduplicatesPending:
@@ -551,36 +464,6 @@ 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):
@@ -678,32 +561,6 @@ 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):
@@ -728,26 +585,6 @@ 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):
@@ -773,17 +610,6 @@ 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

@@ -1,103 +0,0 @@
-"""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"],
-    "agent_custom_instructions": ["agent_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

@@ -1,112 +0,0 @@
-"""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.",
-                agent_custom_instructions="Extract only tool outcomes.",
-                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["agent_custom_instructions"] == "Extract only tool outcomes."
-        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 "agent_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

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

docs/api-reference/organizations-projects.mdx

@@ -95,12 +95,6 @@ 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

@@ -4,23 +4,6 @@ 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

@@ -7,84 +7,6 @@ mode: "wide"
 <Tabs>
 <Tab title="Python">
 
-<Update label="2026-08-11" description="v2.0.18">
-
-**Bug Fixes:**
-- **Core:** Percent-escape `%`, `&`, and `=` in `user_id`, `agent_id`, and `run_id` when building the session scope key for the recent-conversation buffer, so the key stays unambiguous for ids containing those characters. Ordinary ids keep their existing key; an id already containing `%`, `&`, or `=` maps to a new key, so its buffer starts empty once and refills on the next `add()`. Stored memories are unaffected ([#6892](https://github.com/mem0ai/mem0/pull/6892))
-- **Vector Stores:** Raise `ValueError` when a PGVector `in`/`nin` filter value is not a list. A string value was previously iterated character by character into the generated `= ANY(...)` array (so `{"user_id": {"in": "alice"}}` matched `a`, `l`, `i`, `c`, `e`), and a non-iterable value raised a bare `TypeError` from deep inside filter building ([#6879](https://github.com/mem0ai/mem0/pull/6879))
-- **Vector Stores:** Reject `index_accuracy=0` in the Oracle AI Vector Search config. The range check sat behind a truthiness test, so `0` skipped validation entirely and was passed through to `WITH TARGET ACCURACY 0` instead of raising ([#6848](https://github.com/mem0ai/mem0/pull/6848))
-- **Vector Stores:** Close the Oracle connection or pool that Mem0 opened when initialization fails. A client version check, a database version check, or a `create_col()` error previously propagated with the connection still open, leaking it for the life of the process. A caller-supplied `client` is left untouched ([#6839](https://github.com/mem0ai/mem0/pull/6839))
-
-</Update>
-
-<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:**
-- **Vector Stores:** Add an Oracle AI Vector Search provider (`oracledb`) with connection pooling, `HNSW`/`IVF` indexes, JSON metadata filtering, and six selectable distance metrics ([#5358](https://github.com/mem0ai/mem0/pull/5358))
-
-**Bug Fixes:**
-- **Vector Stores:** Translate a `"*"` filter value in OpenSearch into an `exists` query for every key, not just identity keys. It was previously ignored or matched literally against the string `"*"`, so a wildcard filter returned nothing ([#6522](https://github.com/mem0ai/mem0/pull/6522))
-- **Vector Stores:** Re-raise errors from OpenSearch `search()` instead of returning `[]`, so a transport, auth, or index misconfiguration surfaces instead of looking like zero matches. `keyword_search()` still degrades on failure, since it is a best-effort BM25 signal ([#6519](https://github.com/mem0ai/mem0/pull/6519))
-- **Vector Stores:** Guard the `text` field in Milvus `update()` behind the `_has_bm25_schema` check, matching `insert()`, so updating a memory in a collection without the BM25 `text`/`sparse` schema no longer fails ([#5705](https://github.com/mem0ai/mem0/pull/5705))
-
-</Update>
-
-<Update label="2026-07-22" description="v2.0.13">
-
-**Bug Fixes:**
-- **Vector Stores:** Fix `reset()` silently leaving stale vectors behind on local (on-disk) Qdrant when the old collection directory could not be removed, for example an open file handle on Windows or NFS ([#6412](https://github.com/mem0ai/mem0/pull/6412))
-- **Core:** Stop `update()` metadata from overwriting or injecting `user_id`, `agent_id`, `run_id`, or `actor_id`. These identity fields are immutable after creation, so passing them in `metadata` can no longer move a memory into a different tenant's scope ([#6278](https://github.com/mem0ai/mem0/pull/6278))
-- **Vector Stores:** Scope Pinecone `delete_col()`/`reset()` to the configured namespace instead of deleting the whole index, so resetting a namespaced Pinecone store no longer wipes out the other namespaces sharing that index ([#6287](https://github.com/mem0ai/mem0/pull/6287))
-- **Vector Stores:** Convert Baidu Mochow's raw L2 distance into a similarity score in `search()` (`1 / (1 + distance)`), so closer matches rank higher instead of lower, matching the Milvus provider and the rest of the `VectorStoreBase` contract ([#6435](https://github.com/mem0ai/mem0/pull/6435))
-- **LLMs:** Read `OPENAI_BASE_URL` (was `OPENAI_API_BASE`) in `OpenAIStructuredLLM`, matching the official OpenAI SDK's environment variable and the rest of the OpenAI-compatible providers ([#6322](https://github.com/mem0ai/mem0/pull/6322))
-
-**Improvements:**
-- **LLMs:** Remove a dead, no-op `api_key` attribute check from `LLMBase.__init__` ([#6460](https://github.com/mem0ai/mem0/pull/6460))
-
-**Changes:**
-- **Client:** Remove the `retrieval_criteria` parameter from `MemoryClient.update_project()`/`AsyncMemoryClient.update_project()` and `Project.update()`/`AsyncProject.update()`. It was accepted and forwarded but never affected retrieval, so removing it is not a behavior change ([#6313](https://github.com/mem0ai/mem0/pull/6313))
-
-</Update>
-
 <Update label="2026-07-13" description="v2.0.12">
 
 **New Features:**
@@ -1206,91 +1128,6 @@ See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-
 
 <Tab title="TypeScript">
 
-<Update label="2026-08-11" description="v3.1.6">
-
-**New Features:**
-- **Vector Stores:** Add an Oracle AI Vector Search vector store (`oracledb`) to the OSS SDK, with pooled connections, `HNSW`/`IVF` indexes, an optional `indexAccuracy` target, JSON payload filtering, and six selectable distance metrics ([#6690](https://github.com/mem0ai/mem0/pull/6690))
-
-**Bug Fixes:**
-- **Core:** Percent-escape `%`, `&`, and `=` in `userId`, `agentId`, and `runId` when building the session scope key for the recent-conversation buffer, so the key stays unambiguous for ids containing those characters. Ordinary ids keep their existing key; an id already containing `%`, `&`, or `=` maps to a new key, so its buffer starts empty once and refills on the next `add()`. Stored memories are unaffected ([#6892](https://github.com/mem0ai/mem0/pull/6892))
-- **Vector Stores:** Close and clear the Oracle pool that Mem0 created when `initialize()` fails, and reset the cached init promise so the next call retries instead of replaying the rejection forever. A caller-supplied `client` is left untouched ([#6839](https://github.com/mem0ai/mem0/pull/6839))
-- **Vector Stores:** Validate Oracle `insert()` batches before touching the database: `ids` and `payloads` must match `vectors` in length, so a short array can no longer write rows with `undefined` ids or silently drop payloads ([#6839](https://github.com/mem0ai/mem0/pull/6839))
-
-**Improvements:**
-- **Vector Stores:** Cut Oracle round trips. `insert()` now sends the whole batch through one `executeMany()` with explicit `bindDefs` instead of one `INSERT` per vector, `list()` reads the total from a `COUNT(*) OVER ()` window in the same statement instead of issuing a second count query, and an unfiltered `search()` adds the `VECTOR_INDEX_TRANSFORM` hint so the vector index is used ([#6835](https://github.com/mem0ai/mem0/pull/6835))
-
-**Security:**
-- **Dependencies:** Patched 8 high and 18 medium severity dependency vulnerabilities across the pnpm workspace via `pnpm.overrides` (`undici`, `brace-expansion`, `ip-address`) ([#6847](https://github.com/mem0ai/mem0/pull/6847))
-
-</Update>
-
-<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:**
-- **Vector Stores:** Apply every operator in a Cassandra compound field filter (e.g. `{ age: { gte: 10, lte: 20 } }`) instead of stopping after the first, so the remaining bounds are no longer silently ignored ([#6511](https://github.com/mem0ai/mem0/pull/6511))
-- **Vector Stores:** Stop the Chroma where-clause translator from dropping filter conditions. Same-field ranges (`gte` + `lte`), multi-field conditions inside `$or`, and negated `contains`/`icontains` under `$not` each collapsed to a single clause or vanished, widening the search instead of narrowing it ([#6521](https://github.com/mem0ai/mem0/pull/6521))
-- **Vector Stores:** Skip `"*"` wildcard filter values in Milvus instead of matching them literally, so a filter like `{ user_id: "*" }` no longer returns zero memories ([#6508](https://github.com/mem0ai/mem0/pull/6508))
-- **Vector Stores:** Read `textLemmatized` for BM25 keyword search on Milvus, OpenSearch, and MongoDB, matching the field the memory layer actually writes, so hybrid search on those backends no longer loses the keyword signal ([#6497](https://github.com/mem0ai/mem0/pull/6497))
-- **LLMs:** Forward `responseFormat` to Gemini's `responseMimeType` in `generateResponse()`, so requesting `json_object` returns JSON instead of free-form text ([#6468](https://github.com/mem0ai/mem0/pull/6468))
-- **LLMs:** Find the Anthropic text block by type instead of indexing `content[0]`, so a thinking-enabled model whose `thinking` block comes first no longer throws `Unexpected response type from Anthropic API` ([#6506](https://github.com/mem0ai/mem0/pull/6506))
-
-</Update>
-
-<Update label="2026-07-22" description="v3.1.1">
-
-**New Features:**
-- **Embeddings:** Add an AWS Bedrock embedding provider ([#6185](https://github.com/mem0ai/mem0/pull/6185))
-
-**Bug Fixes:**
-- **Packaging:** Finish the lazy-loading work started in v3.1.0. The remaining LLMs (Anthropic, Google, Groq, LangChain, Mistral, Ollama), embedders (Google, LangChain, Ollama, Vertex AI), vector stores (Azure AI Search, Azure MySQL, Baidu, LangChain, Qdrant, Redis, Supabase, Valkey, Vectorize), and the Supabase history store still imported their SDKs at module load, so importing `mem0ai/oss` required every provider package to be installed ([#6389](https://github.com/mem0ai/mem0/pull/6389))
-- **Vector Stores:** Convert Baidu Mochow's raw L2 distance into a similarity score in `search()` (`1 / (1 + distance)`), so closer matches rank higher instead of lower. A row the backend returns without a score is now left `undefined` instead of being treated as the closest match ([#6485](https://github.com/mem0ai/mem0/pull/6485))
-- **Memory (OSS):** Coerce non-string entity IDs (e.g. a numeric `user_id`) to strings instead of crashing on `.trim()` ([#6263](https://github.com/mem0ai/mem0/pull/6263))
-- **Memory (OSS):** Stop `update()` metadata from overwriting or injecting `user_id`, `agent_id`, `run_id`, or `actor_id` (in either snake_case or camelCase). These identity fields are immutable after creation, so passing them in `metadata` can no longer move a memory into a different tenant's scope ([#6343](https://github.com/mem0ai/mem0/pull/6343))
-- **Vector Stores:** Scope Pinecone `deleteCol()`/`reset()` to the configured namespace instead of deleting the whole index, so resetting a namespaced Pinecone store no longer wipes out the other namespaces sharing that index ([#6287](https://github.com/mem0ai/mem0/pull/6287))
-
-**Changes:**
-- **Client:** Remove the unused `retrievalCriteria` field from `PromptUpdatePayload`. It was accepted and forwarded but never affected retrieval, so removing it is not a behavior change ([#6313](https://github.com/mem0ai/mem0/pull/6313))
-
-</Update>
-
 <Update label="2026-07-13" description="v3.1.0">
 
 The largest provider release for the TypeScript OSS SDK so far: 17 new vector stores, 5 new LLM providers, 4 new embedders, and reranking support. Importing `mem0ai/oss` no longer pulls in any provider SDK, so you only install what you actually configure.
@@ -1823,26 +1660,6 @@ 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:**
@@ -2008,25 +1825,12 @@ 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>
 
@@ -2280,13 +2084,6 @@ Initial release of the Mem0 plugin for Claude Code and Cursor, followed by Codex
 
 <Tab title="OpenCode">
 
-<Update label="2026-07-22" description="OpenCode plugin v0.2.2">
-
-**Fixes:**
-- **Shell-profile API key recovery:** When `MEM0_API_KEY` isn't set in the process environment, the plugin now falls back to reading it from `.zshrc`, `.bashrc`, `.zprofile`, `.bash_profile`, or `.profile`, fixing startup failures on clients (e.g. Desktop) that launch without shell-exported environment variables.
-
-</Update>
-
 <Update label="2026-06-30" description="OpenCode plugin v0.2.1">
 
 **Improvements:**
@@ -2360,25 +2157,12 @@ 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>
 
@@ -2429,16 +2213,6 @@ 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:**
@@ -2692,13 +2466,6 @@ 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:**
@@ -2751,13 +2518,6 @@ 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.
@@ -2839,80 +2599,6 @@ 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/embedders/config.mdx

@@ -97,4 +97,4 @@ Here's a comprehensive list of all parameters that can be used across different
 
 ## Supported Embedding Models
 
-For detailed information on configuring specific embedders, please visit the [Embedding Models](./overview) section. There you'll find information for each supported embedder with provider-specific usage examples and configuration details.
+For detailed information on configuring specific embedders, please visit the [Embedding Models](./models) section. There you'll find information for each supported embedder with provider-specific usage examples and configuration details.

docs/components/llms/config.mdx

@@ -133,4 +133,4 @@ Here's a comprehensive list of all parameters that can be used across different
 
 ## Supported LLMs
 
-For detailed information on configuring specific LLMs, please visit the [LLMs](./overview) section. There you'll find information for each supported LLM with provider-specific usage examples and configuration details.
+For detailed information on configuring specific LLMs, please visit the [LLMs](./models) section. There you'll find information for each supported LLM with provider-specific usage examples and configuration details.

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-5-mini"`        |
+| `model`          | LLM model to use for scoring               | `str`   | `"gpt-4o-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-5-mini` | `provider`, `model`, `apiKey`, `llm` (nested override), `topK` |
+| `llm_reranker` | None (uses your LLM provider's own SDK) | `openai` / `gpt-4o-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-5-mini",
+            "model": "gpt-4o-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-5-mini"}},
+    "llm": {"provider": "openai", "config": {"model": "gpt-4o-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-5-mini",
+            "model": "gpt-4o-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-5-mini"` | LLM model to use for reranking |
+| `model` | str | `"gpt-4o-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-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).
+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).
 
 ```typescript
 import { Memory } from "mem0ai/oss";
@@ -114,7 +114,7 @@ config = {
         "provider": "llm_reranker",
         "config": {
             "provider": "openai",
-            "model": "gpt-5-mini",
+            "model": "gpt-4o-mini",
             "api_key": "your-openai-api-key",
             "temperature": 0.0
         }
@@ -170,15 +170,15 @@ config = {
         "provider": "llm_reranker",
         "config": {
             "provider": "azure_openai",
-            "model": "gpt-5-mini",
+            "model": "gpt-4o-mini",
             "api_key": "your-azure-api-key",
             "llm": {
                 "provider": "azure_openai",
                 "config": {
-                    "model": "gpt-5-mini",
+                    "model": "gpt-4o-mini",
                     "api_key": "your-azure-api-key",
                     "azure_endpoint": "https://your-resource.openai.azure.com/",
-                    "azure_deployment": "gpt-5-mini-deployment"
+                    "azure_deployment": "gpt-4o-mini-deployment"
                 }
             }
         }
@@ -232,7 +232,7 @@ config = {
         "provider": "llm_reranker",
         "config": {
             "provider": "openai",
-            "model": "gpt-5-mini",
+            "model": "gpt-4o-mini",
             "api_key": "your-api-key",
             "scoring_prompt": custom_prompt
         }
@@ -351,7 +351,7 @@ fast_config = {
         "provider": "llm_reranker",
         "config": {
             "provider": "openai",
-            "model": "gpt-5-mini",
+            "model": "gpt-4o-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-5-mini",
+            "model": "gpt-4o-mini",
             "api_key": "your-api-key"
         }
     }

docs/components/rerankers/models/sentence_transformer.mdx

@@ -36,7 +36,7 @@ config = {
     "llm": {
         "provider": "openai",
         "config": {
-            "model": "gpt-5-mini"
+            "model": "gpt-4o-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-5-mini"}},
+    "llm": {"provider": "openai", "config": {"model": "gpt-4o-mini"}},
     "rerank": {
         "provider": "sentence_transformer",
         "config": {

docs/components/rerankers/models/zero_entropy.mdx

@@ -34,7 +34,7 @@ config = {
     "llm": {
         "provider": "openai",
         "config": {
-            "model": "gpt-5-mini"
+            "model": "gpt-4o-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-5-mini"}},
+    "llm": {"provider": "openai", "config": {"model": "gpt-4o-mini"}},
     "rerank": {"provider": "zero_entropy", "config": {"model": "zerank-1"}}
 }
 

docs/components/vectordbs/config.mdx

@@ -7,7 +7,7 @@ description: "Reference for vector database configuration options in Mem0, inclu
 
 The `config` is defined as an object with two main keys:
 - `vector_store`: Specifies the vector database provider and its configuration
-  - `provider`: The name of the vector database (e.g., "chroma", "pgvector", "qdrant", "milvus", "upstash_vector", "azure_ai_search", "vertex_ai_vector_search", "valkey", "oracledb")
+  - `provider`: The name of the vector database (e.g., "chroma", "pgvector", "qdrant", "milvus", "upstash_vector", "azure_ai_search", "vertex_ai_vector_search", "valkey")
   - `config`: A nested dictionary containing provider-specific settings
 
 
@@ -95,11 +95,6 @@ Here's a comprehensive list of all parameters that can be used across different
 | `connection_string` | PostgreSQL connection string (for Supabase/PGVector) |
 | `index_method` | Vector index method (for Supabase) |
 | `index_measure` | Distance measure for similarity search (for Supabase) |
-| `connection_params` | Connection settings for Oracle AI Vector Search |
-| `use_connection_pool` | Create an Oracle connection pool from `connection_params` |
-| `distance_metric` | Distance metric for Oracle vector indexing and search |
-| `index_type` | Oracle vector index type: `HNSW` or `IVF` |
-| `index_parameters` | Oracle vector-index parameters for the selected index type |
 </Tab>
 <Tab title="TypeScript">
 | Parameter | Description |
@@ -123,10 +118,10 @@ Here's a comprehensive list of all parameters that can be used across different
 
 Each vector database has its own specific configuration requirements. To customize the config for your chosen vector store:
 
-1. Identify the vector database you want to use from [supported vector databases](./overview).
+1. Identify the vector database you want to use from [supported vector databases](./dbs).
 2. Refer to the `Config` section in the respective vector database's documentation.
 3. Include only the relevant parameters for your chosen database in the `config` dictionary.
 
 ## Supported Vector Databases
 
-For detailed information on configuring specific vector databases, please visit the [Supported Vector Databases](./overview) section. There you'll find individual pages for each supported vector store with provider-specific usage examples and configuration details.
+For detailed information on configuring specific vector databases, please visit the [Supported Vector Databases](./dbs) section. There you'll find individual pages for each supported vector store with provider-specific usage examples and configuration details.

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

@@ -1,236 +0,0 @@
----
-title: "Oracle AI Vector Search"
-description: "Use Oracle Database AI Vector Search as a vector store in Mem0 for semantic and relational queries."
----
-
-{/* Copyright (c) 2026, Oracle and/or its affiliates. */}
-
-[Oracle AI Vector Search](https://www.oracle.com/database/ai-vector-search/) stores embeddings in an Oracle table using the native `VECTOR` data type, so you can combine semantic search over unstructured data with relational queries over business data in a single database.
-
-### Requirements
-
-- Oracle Database 23.4 or later, with a user that can create tables and vector indexes
-- The `python-oracledb` or `node-oracledb` driver. In thick mode, Oracle Client 23.4 or later is also required.
-
-<CodeGroup>
-```bash Python
-pip install oracledb
-```
-
-```bash TypeScript
-npm install oracledb
-```
-</CodeGroup>
-
-### Usage
-
-<CodeGroup>
-```python Python
-import os
-from mem0 import Memory
-
-os.environ["OPENAI_API_KEY"] = "sk-xx"
-
-config = {
-    "vector_store": {
-        "provider": "oracledb",
-        "config": {
-            "collection_name": "mem0",
-            "embedding_model_dims": 1536,
-            "connection_params": {
-                "user": "mem0_user",
-                "password": "your-password",
-                "dsn": "localhost:1521/FREEPDB1",
-            },
-        }
-    }
-}
-
-m = Memory.from_config(config)
-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."}
-]
-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 the connection parameters:
-
-<CodeGroup>
-```python Python
-import oracledb
-
-pool = oracledb.create_pool(user="mem0_user", password="your-password", dsn="localhost:1521/FREEPDB1")
-
-config = {
-    "vector_store": {
-        "provider": "oracledb",
-        "config": {"client": pool},
-    }
-}
-```
-
-```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:
-
-| 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 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`:
-
-<CodeGroup>
-```python Python
-config = {
-    "vector_store": {
-        "provider": "oracledb",
-        "config": {
-            "connection_params": {"user": "mem0_user", "password": "your-password", "dsn": "localhost:1521/FREEPDB1"},
-            "index_type": "HNSW",
-            "index_parameters": {"neighbors": 32, "efconstruction": 200},
-            "index_accuracy": 95,
-        }
-    }
-}
-```
-
-```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
-
-Oracle returns a distance from `VECTOR_DISTANCE`, which Mem0 converts to a `score` where higher means more similar. `COSINE` and the other non-negative metrics produce scores in the range `[0, 1]`. `DOT` returns the inner product, which can fall outside that range.
-
-### Metadata filters
-
-Filters run against the JSON `payload` column and support:
-
-| Filter type | Examples |
-| --- | --- |
-| Scalar equality | `{"user_id": "alice"}` |
-| Field existence | `{"agent_id": "*"}` |
-| 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": [...]}`, also `$and`, `$or`, `$not` |
-
-Multiple fields at the top level are combined with `AND`:
-
-<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

@@ -60,12 +60,6 @@ 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

@@ -115,27 +115,6 @@ $$;
 
 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/components/vectordbs/overview.mdx

@@ -1,6 +1,6 @@
 ---
 title: Overview
-description: "Overview of all supported vector databases in Mem0, including Qdrant, Chroma, PGVector, Pinecone, Oracle, and more."
+description: "Overview of all supported vector databases in Mem0, including Qdrant, Chroma, PGVector, Pinecone, and more."
 ---
 
 Mem0 includes built-in support for various popular databases. Memory can utilize the database provided by the user, ensuring efficient use for specific needs.
@@ -10,7 +10,7 @@ Mem0 includes built-in support for various popular databases. Memory can utilize
 See the list of supported vector databases below.
 
 <Note>
-  The following vector databases are supported in the Python implementation. The TypeScript implementation currently supports Qdrant, Redis, PGVector, Supabase, LangChain, Oracle AI Vector Search, Azure AI Search, Vectorize, Amazon S3 Vectors, Milvus, Neptune Analytics, and an in-memory store.
+  The following vector databases are supported in the Python implementation. The TypeScript implementation currently supports Qdrant, Redis, PGVector, Supabase, LangChain, Azure AI Search, Vectorize, Amazon S3 Vectors, Milvus, Neptune Analytics, and an in-memory store.
 </Note>
 
 <CardGroup cols={3}>
@@ -21,7 +21,6 @@ See the list of supported vector databases below.
   <Card title="Milvus" icon="/images/provider-icons/milvus.svg" href="/components/vectordbs/dbs/milvus"></Card>
   <Card title="Pinecone" icon="/images/provider-icons/pinecone.svg" href="/components/vectordbs/dbs/pinecone"></Card>
   <Card title="MongoDB" icon="/images/provider-icons/mongodb.svg" href="/components/vectordbs/dbs/mongodb"></Card>
-  <Card title="Oracle AI Vector Search" icon="/images/provider-icons/oracle.svg" href="/components/vectordbs/dbs/oracledb"></Card>
   <Card title="Azure" icon="/images/provider-icons/azure-color.svg" href="/components/vectordbs/dbs/azure"></Card>
   <Card title="Redis" icon="/images/provider-icons/redis.svg" href="/components/vectordbs/dbs/redis"></Card>
   <Card title="Valkey" icon="/images/provider-icons/valkey.svg" href="/components/vectordbs/dbs/valkey"></Card>

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

@@ -55,8 +55,9 @@ await addUserPreferences();
 
 ```json Output
 {
-  "event_id": "9f8c2b1a-4e7d-4c3a-9b21-1a2b3c4d5e6f",
-  "status": "PENDING"
+  "message": "Memory processing has been queued for background execution",
+  "status": "PENDING",
+  "event_id": "9f8c2b1a-4e7d-4c3a-9b21-1a2b3c4d5e6f"
 }
 ```
 </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 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).
+4. **Entity linking.** When configured, Mem0 links people, places, organizations, and concepts across memories.
 
 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, 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.
+Platform retrieval fuses these signals in the managed service. OSS retrieval depends on your configured vector store, optional reranker, and graph store.
 
 <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 store** | Entities extracted from memory text | Boosts memories sharing entities with the query. On Platform it also backs [Graph Memory](/platform/features/graph-memory) |
+| **Entity or graph store** | Entities and relationships | Relationship-aware retrieval when graph memory is enabled |
 
 On Mem0 Platform, these stores are managed for you. In OSS, you choose and operate the backing stores through your configuration.
 

docs/docs.json

@@ -85,8 +85,7 @@
                           "platform/features/advanced-retrieval",
                           "platform/advanced-memory-operations",
                           "platform/features/custom-instructions",
-                          "platform/features/memory-decay",
-                          "platform/features/dream"
+                          "platform/features/memory-decay"
                         ]
                       },
                       {
@@ -208,7 +207,6 @@
                               "components/vectordbs/dbs/milvus",
                               "components/vectordbs/dbs/pinecone",
                               "components/vectordbs/dbs/mongodb",
-                              "components/vectordbs/dbs/oracledb",
                               "components/vectordbs/dbs/azure",
                               "components/vectordbs/dbs/azure_mysql",
                               "components/vectordbs/dbs/redis",
@@ -637,7 +635,7 @@
     },
     {
       "source": "/platform/features/expiration-date",
-      "destination": "/platform/features/memory-expiration"
+      "destination": "/"
     },
     {
       "source": "/cookbooks/essentials/memory-expiration-short-and-long-term",
@@ -1035,10 +1033,6 @@
       "source": "/features/graph-memory",
       "destination": "/platform/features/graph-memory"
     },
-    {
-      "source": "/open-source/features/graph-memory",
-      "destination": "/platform/features/graph-memory"
-    },
     {
       "source": "/features/:slug",
       "destination": "/platform/features/:slug"
@@ -1242,10 +1236,6 @@
     {
       "source": "/platform/features/criteria-retrieval",
       "destination": "/platform/features/advanced-retrieval"
-    },
-    {
-      "source": "/integrations/keywords",
-      "destination": "/integrations/respan"
     }
   ]
 }

docs/images/provider-icons/oracle.svg

@@ -1 +0,0 @@
-<svg fill="#8F74E0" role="img" viewBox="0 0 93.9 59.4" xmlns="http://www.w3.org/2000/svg"><title>Oracle</title><path d="M30.5,59.4H65c16.4-0.4,29.3-14.1,28.9-30.4C93.5,13.1,80.7,0.4,65,0H30.5C14.1-0.4,0.4,12.5,0,28.9s12.5,30,28.9,30.4C29.4,59.4,29.9,59.4,30.5,59.4 M64.2,48.9h-33c-10.6-0.3-18.9-9.2-18.6-19.8C13,19,21.1,10.8,31.2,10.5h33c10.6-0.3,19.5,8,19.8,18.6c0.3,10.6-8,19.5-18.6,19.8C65,48.9,64.6,48.9,64.2,48.9"/></svg>

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

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

docs/integrations/n8n.mdx

@@ -3,147 +3,62 @@ title: n8n
 description: "Add long-term memory to n8n workflows and AI Agents with the Mem0 community node, no code required."
 ---
 
-Your n8n workflows start from zero on every run. The [`@mem0/n8n-nodes-mem0`](https://www.npmjs.com/package/@mem0/n8n-nodes-mem0) community node fixes that: store durable facts as memories, recall them in any later run, and hand the node to an [n8n AI Agent](https://docs.n8n.io/advanced-ai/) as a tool so it can remember and recall on its own.
+The [`n8n-nodes-mem0`](https://www.npmjs.com/package/n8n-nodes-mem0) community node brings [Mem0](https://mem0.ai) memory to [n8n](https://n8n.io). Add, search, and manage long-term memories inside any workflow, and use it as a tool for the n8n AI Agent.
 
 ## Overview
 
-1. Install the node from n8n's community nodes panel.
-2. Connect your Mem0 API key once as a credential.
-3. Drop a **Mem0** node into any workflow to add, search, or manage memories.
-4. Optionally attach it to an **AI Agent** node, where it becomes a tool the agent calls itself.
+The node wraps the hosted Mem0 REST API and supports six operations on the **Memory** resource:
 
-## Prerequisites
+| Operation | Endpoint |
+| --- | --- |
+| **Add** | `POST /v3/memories/add/` |
+| **Search** | `POST /v3/memories/search/` |
+| **Get** | `GET /v1/memories/{id}/` |
+| **Get Many** | `POST /v3/memories/` |
+| **Update** | `PUT /v1/memories/{id}/` |
+| **Delete** | `DELETE /v1/memories/{id}/` |
 
-1. A Mem0 API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-n8n" rel="nofollow">API Keys dashboard</a> (sign up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-n8n" rel="nofollow">app.mem0.ai</a> if you do not have an account).
-2. A **self-hosted** n8n instance. Installing community nodes from npm is a self-hosted feature; n8n Cloud only offers nodes that n8n has verified.
-3. Owner access to that instance, since only instance owners can install community nodes.
+It is marked `usableAsTool`, so the n8n AI Agent (Tools Agent) can call it directly to remember and recall information.
 
 ## Installation
 
-<Steps>
-  <Step title="Open the community nodes panel">
-    In n8n, go to **Settings → Community Nodes** and select **Install**.
-  </Step>
-  <Step title="Install the package">
-    Enter `@mem0/n8n-nodes-mem0`, tick the risk acknowledgement, and select **Install**.
-  </Step>
-  <Step title="Create the credential">
-    Add a new **Mem0 API** credential and paste your API key. Leave **Base URL** at `https://api.mem0.ai` unless you run Mem0 somewhere else.
-  </Step>
-</Steps>
+Install it like any n8n community node:
 
-<Info>
-  **Verify the install:** search the nodes panel for `Mem0`. The node should appear with a **Memory** resource offering Add, Search, Get, Get Many, Update, and Delete.
-</Info>
+1. In n8n, go to **Settings → Community Nodes → Install**.
+2. Enter `n8n-nodes-mem0` and confirm.
 
-## Quickstart
+The node then appears in the nodes panel under the AI category.
 
-A two-node workflow that writes a memory and reads it back:
+## Authentication
 
-```text
-Manual Trigger  →  Mem0 (Add)  →  Mem0 (Search)
-```
+Create a **Mem0 API** credential in n8n:
 
-<Steps>
-  <Step title="Add a memory">
-    Add a **Mem0** node, keep **Operation: Add**, set **User ID** to `alice`, and add one message with **Role** `user` and **Content**:
-
-    `I am vegetarian and I never eat mushrooms.`
-  </Step>
-  <Step title="Search for it">
-    Add a second **Mem0** node with **Operation: Search**, **User ID** `alice`, and **Query** `what does the user eat?`.
-  </Step>
-  <Step title="Run it">
-    Select **Test workflow**. The Search node returns the extracted dietary memory.
-  </Step>
-</Steps>
-
-<Note>
-  Extraction is asynchronous. The Add node's **Wait for Completion** option is on by default, so it polls until extraction finishes before the next node runs. If you turn it off, allow a few seconds before searching for what you just wrote.
-</Note>
-
-## Use it as an AI Agent tool
-
-The node is marked `usableAsTool`, so an n8n **AI Agent** (Tools Agent) can call it without any wiring on your side:
-
-```text
-Chat Trigger  →  AI Agent  ──tool──▶  Mem0 (Search)
-                          ──tool──▶  Mem0 (Add)
-```
-
-Attach one Mem0 node set to **Search** and one set to **Add**. The agent searches memory before answering and writes back durable facts after a meaningful exchange. Keep **User ID** the same on both.
+- **API Key**: from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-n8n" rel="nofollow">Mem0 API Key dashboard</a>. Sent as `Authorization: Token <key>`.
+- **Base URL**: defaults to `https://api.mem0.ai`.
 
 ## Operations
 
-The node wraps the hosted Mem0 REST API and supports six operations on the **Memory** resource:
-
-| Operation | What it does | Endpoint |
-| --- | --- | --- |
-| **Add** | Extract and store memories from messages | `POST /v3/memories/add/` |
-| **Search** | Semantic search over stored memories | `POST /v3/memories/search/` |
-| **Get Many** | List stored memories (one page, or **Return All**) | `POST /v3/memories/` |
-| **Get** | Fetch a single memory by ID | `GET /v1/memories/{id}/` |
-| **Update** | Change a memory's text or metadata | `PUT /v1/memories/{id}/` |
-| **Delete** | Delete a single memory by ID | `DELETE /v1/memories/{id}/` |
-
 ### Add
 
-Extracts and stores memories from one or more messages. Supply at least one entity id (**User ID**, or **Agent ID** / **App ID** / **Run ID** under Additional Fields); the node checks this before calling the API.
+Extracts and stores memories from one or more messages. Provide at least one entity id (**User ID**, **Agent ID**, **Run ID**, or **App ID** in Additional Fields); the node validates this before calling the API. Additional Fields also expose **Metadata (JSON)** and **Infer** (run LLM extraction, or store verbatim).
 
-**Additional Fields:**
-
-| Field | Purpose |
-| --- | --- |
-| **Agent ID** | Scopes the memory to an agent |
-| **App ID** | Scopes the memory to an app or project |
-| **Run ID** | Scopes the memory to a single session or run |
-| **Metadata (JSON)** | Arbitrary JSON attached to each extracted memory |
-| **Infer** | On by default. Turn off to store messages verbatim instead of running LLM extraction |
-| **Custom Instructions** | Free-text guidance steering what the extractor keeps or ignores, for this call |
-| **Custom Categories** | JSON array of `{category: description}` objects, replacing the project-level catalog for this call |
-| **Includes** | Only extract memories matching this description |
-| **Excludes** | Skip memories matching this description |
-
-**Includes** and **Excludes** narrow what extraction keeps. Sending *"I am vegetarian and I never eat mushrooms. I drive a blue Toyota Corolla and my parking spot is B12"* stores three memories by default; with `Includes: "only record food and diet preferences"` it stores just the dietary one.
+Extraction is asynchronous. **Wait for Completion** (on by default) polls the event until it finishes and returns the resulting memories; turn it off to return immediately with the event ID.
 
 ### Search
 
-Semantic search over stored memories. Takes a **Query**, at least one entity id, and an optional **Limit**.
+Semantic search over stored memories. Provide a **Query**, a **User ID** (required, the API needs an entity filter), and an optional **Limit**.
 
 ### Get Many
 
-Lists stored memories for the entity ids you supply. Turn on **Return All** to page through everything automatically, or leave it off to fetch a single **Page**. **Page Size** applies either way.
+Lists memories for a **User ID** with **Page** and **Page Size** controls.
 
-### Get, Update, Delete
+### Get / Update / Delete
 
-Operate on one memory by **Memory ID**. Update accepts new **Text** and/or **Metadata (JSON)**.
+Operate on a single memory by **Memory ID**. Update accepts new **Text** and/or **Metadata (JSON)**.
 
-## Entity filters on Search and Get Many
+## Choosing a `userId`
 
-Both operations take **User ID**, **Agent ID**, **App ID**, and **Run ID**. At least one is required, since the API rejects a query with no entity scope, and the node fails with a clear message before making the call if all four are empty.
-
-Supply several and they combine with **OR**, so the result is the union of those scopes:
-
-```json
-{ "OR": [{ "user_id": "alice" }, { "agent_id": "support-bot" }] }
-```
-
-<Warning>
-  This is deliberate, not a shortcut. Mem0 indexes each entity separately, so an `AND` across `user_id` and `agent_id` matches nothing even when a memory was written with both. To narrow rather than widen, run one operation per entity id.
-</Warning>
-
-## Choosing a User ID
-
-The **User ID** is a stable string you pick to identify whose memories these are. It is not looked up in the dashboard, so any consistent value works: your app's internal user ID, an email, or a UUID. Use the same value across Add, Search, and Get Many or recall returns nothing.
-
-## Troubleshooting
-
-- **The node does not appear in the panel**: community nodes install on self-hosted n8n only, and only instance owners can install them. On n8n Cloud, this node is not yet available.
-- **`401 Unauthorized`**: the API key is wrong or was revoked. Regenerate it in the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-n8n" rel="nofollow">API Keys dashboard</a> and update the credential.
-- **"Provide at least one of User ID, Agent ID, App ID, or Run ID"**: every Add, Search, and Get Many needs an entity scope. Fill in at least one.
-- **Search returns nothing right after an Add**: extraction is asynchronous. Leave **Wait for Completion** on, or add a short Wait node before searching.
-- **Searching two entity ids returns more than expected**: multiple ids are combined with OR by design. Run one operation per id to narrow.
-- **"Timed out waiting for memory event"**: the add was accepted and is likely still finishing on the server. A timeout here does not mean it failed.
+The `userId` is a stable string you choose to identify whose memories these are. It is not looked up in the dashboard. Common choices are your app's internal user ID, an email, or a UUID. Use the same value across Add, Search, and Get Many so recall works.
 
 <CardGroup cols={2}>
   <Card title="Zapier Integration" icon="bolt" href="/integrations/zapier">

docs/integrations/zapier.mdx

@@ -3,133 +3,51 @@ title: Zapier
 description: "Add, search, and manage Mem0 memories from any Zap using the Mem0 Zapier app, no code required."
 ---
 
-Zaps fire and forget. The [Mem0](https://mem0.ai) app gives them memory: store durable facts from a form submission, a support ticket, or a chat message, then recall them later from any of [Zapier's](https://zapier.com) thousands of apps. No code, no server.
+The [Mem0](https://mem0.ai) Zapier app lets you add, search, list, and delete long-term memories from any [Zapier](https://zapier.com) workflow. Wire "remember" and "recall" into thousands of apps without writing code.
 
 ## Overview
 
-1. Connect your Mem0 API key once as a Zapier connection.
-2. Use **Add Memory** to store what a Zap learns.
-3. Use **Search Memories** or **Get Memories** to pull that context back into a later step.
-4. Use **Delete Memory** to remove one by ID.
+The app wraps the hosted Mem0 REST API and exposes four actions:
 
-## Prerequisites
+| Type | Action | Endpoint |
+| --- | --- | --- |
+| Create | **Add Memory** | `POST /v3/memories/add/` |
+| Create | **Delete Memory** | `DELETE /v1/memories/{id}/` |
+| Search | **Search Memories** | `POST /v3/memories/search/` |
+| Search | **Get Memories** | `POST /v3/memories/` |
 
-1. A Mem0 API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-zapier" rel="nofollow">API Keys dashboard</a> (sign up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-zapier" rel="nofollow">app.mem0.ai</a> if you do not have an account).
-2. A Zapier account on any plan.
+## Authentication
 
-<Note>
-  The Mem0 app is not yet listed in Zapier's public App Directory, so you need an invite link to add it to a Zap. Email [support@mem0.ai](mailto:support@mem0.ai) to request one.
-</Note>
-
-## Setup
-
-<Steps>
-  <Step title="Add a Mem0 step">
-    In the Zap editor, search for **Mem0** and pick an action such as **Add Memory**.
-  </Step>
-  <Step title="Connect your account">
-    Select **Sign in**, paste your **Mem0 API Key** (it starts with `m0-`), and leave **Base URL** at `https://api.mem0.ai` unless you run Mem0 somewhere else.
-  </Step>
-  <Step title="Confirm the connection">
-    Zapier validates the key against Mem0 the moment you save it. A connection labelled **Mem0** means the key works.
-  </Step>
-</Steps>
-
-<Info>
-  The key is a password field, so Zapier masks it in the editor. It is sent to Mem0 as `Authorization: Token <key>`.
-</Info>
-
-## Quickstart
-
-Remember what a user tells you:
-
-```text
-Trigger (form, chat, ticket)  →  Mem0: Add Memory
-```
-
-Set **Content** to the message text and **User ID** to a stable identifier for that person, such as their email.
-
-Then recall it in a later Zap:
-
-```text
-Trigger (new message)  →  Mem0: Search Memories  →  Send reply
-```
-
-Set **Query** to the incoming message and **User ID** to the same value. The matched memories become available to every step after it.
-
-<Note>
-  Extraction is asynchronous. **Add Memory** returns immediately with an event ID by default, so a Search fired a second later may not see the new memory yet. See [Waiting for extraction](#waiting-for-extraction).
-</Note>
+The app uses API key authentication. Grab a key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-zapier" rel="nofollow">Mem0 API Key dashboard</a> and paste it when connecting your Mem0 account in Zapier. The key is sent as `Authorization: Token <key>` on every request.
 
 ## Actions
 
-| Type | Action | What it does | Endpoint |
-| --- | --- | --- | --- |
-| Create | **Add Memory** | Extract and store memories from a message | `POST /v3/memories/add/` |
-| Search | **Search Memories** | Semantic search over stored memories | `POST /v3/memories/search/` |
-| Search | **Get Memories** | List stored memories, one page at a time | `POST /v3/memories/` |
-| Create | **Delete Memory** | Delete a single memory by ID | `DELETE /v1/memories/{id}/` |
-
 ### Add Memory
 
-| Field | Required | Purpose |
-| --- | --- | --- |
-| **Content** | Yes | The message text to extract memories from |
-| **Role** | | `User` (default), `Assistant`, or `System` |
-| **User ID** | | Scopes the memory to a person |
-| **Agent ID** | | Scopes the memory to an agent |
-| **Run ID** | | Scopes the memory to a single session or run |
-| **Metadata (JSON)** | | Arbitrary JSON attached to each extracted memory |
-| **Custom Instructions** | | Free-text guidance steering what the extractor keeps or ignores, for this call |
-| **Custom Categories (JSON)** | | JSON array of `{category: description}` objects, replacing the project-level catalog for this call |
-| **Includes** | | Only extract memories matching this description |
-| **Excludes** | | Skip memories matching this description |
-| **Infer** | | On by default. Turn off to store the message verbatim instead of running LLM extraction |
-| **Wait for Completion** | | Off by default. Turn on to poll until extraction finishes and return the resulting memories |
+Extracts and stores memories from a message. Fields:
 
-**Includes** and **Excludes** narrow what extraction keeps. Sending *"I am vegetarian and I never eat mushrooms. I drive a blue Toyota Corolla and my parking spot is B12"* stores three memories by default; with `Includes: "only record food and diet preferences"` it stores just the dietary one.
-
-#### Waiting for extraction
-
-Extraction runs asynchronously, so **Add Memory** returns an event ID and moves on unless you turn on **Wait for Completion**. When you do, the step polls for up to 60 seconds and returns the extracted memories instead.
-
-<Warning>
-  Extraction can take longer than Zapier allows a single step to run, which is why waiting is opt-in. If the step times out, the add was still accepted and typically completes on Mem0's side, so do not retry it blindly.
-</Warning>
+- **Content** (required): the message text to extract memories from.
+- **Role**: `user`, `assistant`, or `system`.
+- **User ID / Agent ID / Run ID**: entity the memory belongs to.
+- **Metadata (JSON)**: optional structured metadata.
+- **Infer**: run LLM extraction (default) or store the message verbatim.
+- **Wait for Completion**: off by default. Extraction is asynchronous, so the action returns immediately with an event ID. Turn this on to poll until extraction finishes and return the resulting memories. Extraction can take longer than a single Zapier step is allowed to run, so a timeout here does not mean the add failed; it usually still completes on the server.
 
 ### Search Memories
 
-| Field | Required | Purpose |
-| --- | --- | --- |
-| **Query** | Yes | Natural-language search text |
-| **User ID** | Yes | Whose memories to search. The API needs an entity filter |
-| **Limit** | | Maximum results, default `50` |
+Semantic search over stored memories. Provide a **Query**, a **User ID** (required, the API needs an entity filter), and an optional **Limit**.
 
 ### Get Memories
 
-| Field | Required | Purpose |
-| --- | --- | --- |
-| **User ID** | Yes | Whose memories to list |
-| **Limit** | | Memories per page, default `50` |
-| **Page** | | Which page to return, 1-based, default `1` |
-
-Returns one page per run. Raise **Page** to walk through larger result sets.
+Lists stored memories for a user. Provide a **User ID** (required), a **Limit** (page size), and a **Page** (1-based) to page through larger result sets.
 
 ### Delete Memory
 
-Takes a **Memory ID** and deletes that memory. Pair it with **Search Memories** or **Get Memories** to get the ID first.
+Deletes a single memory by its **Memory ID**.
 
-## Choosing a User ID
+## Choosing a `userId`
 
-The **User ID** is a stable string you pick to identify whose memories these are. It is not looked up in the dashboard, so any consistent value works: your app's internal user ID, an email, or a UUID. Use the same value on Add, Search, and Get Memories or recall returns nothing.
-
-## Troubleshooting
-
-- **Mem0 does not appear in the Zap editor**: the app is not yet in the public App Directory. Email [support@mem0.ai](mailto:support@mem0.ai) for an invite link.
-- **The connection fails when you paste the key**: check that it starts with `m0-` and has not been revoked in the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-zapier" rel="nofollow">API Keys dashboard</a>.
-- **Search returns nothing right after an Add**: extraction is asynchronous. Turn on **Wait for Completion**, or put a Zapier **Delay** step before the Search.
-- **"Metadata must be valid JSON" or "Custom Categories must be valid JSON"**: those fields take raw JSON. Check for smart quotes and trailing commas.
-- **The Add step times out**: the memory was still accepted and is likely finishing server-side. Confirm with **Get Memories** before re-running.
+The `user_id` is a stable string you choose to identify whose memories these are. It is not looked up in the dashboard. Common choices are your app's internal user ID, an email, or a UUID. Use the same value across Add, Search, and Get so recall works.
 
 <CardGroup cols={2}>
   <Card title="n8n Integration" icon="diagram-project" href="/integrations/n8n">

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">
-    Mem0 gives your AI agents long-term memory that persists across sessions, tools, and runs.
+    Universal, self-improving memory layer for LLM applications.
   </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">
-          Store your first memory
+          Add memory to your app
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Five-minute quickstart: get an API key, then save and search a memory in Python or JavaScript.
+          Start with the quickstart and store your first memory in minutes.
         </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 coding agent
+          Add memory to your agent
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Plugins that let Claude Code, Cursor, Codex, and other harnesses remember your project. Opens the Claude Code guide.
+          Give Claude Code, Cursor, and Codex memory that persists across sessions. A drop-in plugin, no code to write.
         </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">
-          Let an AI agent sign itself up
+          Sign up for Mem0 as an agent
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Four terminal commands create an account and API key. No email, no dashboard. Claim it as owner later.
+          Let an AI agent mint a Mem0 API key, claim ownership later, and write its first memory from the terminal.
         </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">
-          Use Mem0 with your framework
+          Explore Mem0 integrations
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Setup guides for 22 tools, including LangChain, CrewAI, LlamaIndex, and the Vercel AI SDK.
+          Connect Mem0 to LangChain, CrewAI, Vercel AI SDK, and 20+ partner frameworks.
         </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">
-          Copy a working example
+          See memory-app examples
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Full walkthroughs for companion chatbots, support agents, voice agents, and research tools.
+          Browse cookbooks for companions, support agents, voice agents, research tools, and more.
         </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">
-          Run Mem0 on your own servers
+          Self-host Mem0
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          The open-source version. Run it as a library or a Docker stack, with your data on your infrastructure.
+          Use Open Source when you want memory without the hosted platform.
         </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, no infra to run. 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, sub-50ms retrieval, no infra. 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, hosted API, dashboard.
+- [Platform Overview](https://docs.mem0.ai/platform/overview) [Platform]: Use when the user picks the managed product - 4-line integration, sub-50ms retrieval, 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, reranker.
+- [Open Source Configuration](https://docs.mem0.ai/open-source/configuration) [OSS]: Use when configuring `Memory` - LLM, embedder, vector store, graph store.
 - [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/entity/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/graph/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.
@@ -207,7 +207,6 @@ 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
@@ -419,6 +418,7 @@ Editor-specific setup docs (already listed above under `## Integrations > AI Cod
 ### MCP Endpoints
 
 - Hosted MCP server: `https://mcp.mem0.ai` - requires Platform API key. See `platform/mem0-mcp`.
+- Self-hosted MCP server: ships with `openmemory/api/` (FastAPI) - runs against your own Qdrant + LLM stack.
 
 ## Community & Support
 
@@ -474,7 +474,6 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
 - [Milvus](https://docs.mem0.ai/components/vectordbs/dbs/milvus) [OSS]: Use for large-scale Milvus deployments.
 - [Pinecone](https://docs.mem0.ai/components/vectordbs/dbs/pinecone) [OSS]: Use when the user is on Pinecone managed.
 - [MongoDB](https://docs.mem0.ai/components/vectordbs/dbs/mongodb) [OSS]: Use when Mongo Atlas Vector Search is the backing store.
-- [Oracle AI Vector Search](https://docs.mem0.ai/components/vectordbs/dbs/oracledb) [OSS]: Use when Oracle Database AI Vector Search is the backing store.
 - [Azure AI Search](https://docs.mem0.ai/components/vectordbs/dbs/azure) [OSS]: Use when the user is on Azure AI Search.
 - [Azure MySQL](https://docs.mem0.ai/components/vectordbs/dbs/azure_mysql) [OSS]: Use when vector search runs on Azure Database for MySQL.
 - [Redis](https://docs.mem0.ai/components/vectordbs/dbs/redis) [OSS]: Use when Redis Stack is the backing store.

docs/logo/openmemory-icon.svg

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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-aware retrieval."
+description: "Guide for self-hosted Mem0 users to upgrade to the new memory algorithm with ADD-only extraction, hybrid search, and entity linking."
 icon: "arrow-right"
 iconType: "solid"
 ---
@@ -15,8 +15,7 @@ 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 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)
+- **Entity linking**: Automatic entity extraction and cross-memory linking
 - **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()`
 
@@ -38,7 +37,7 @@ 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 memory is removed from OSS. It's a built-in, always-on [Mem0 Platform feature](/platform/features/graph-memory) |
+| Graph memory | `enable_graph` + `graph_store` in config | Removed | Graph store support has been removed entirely |
 | Qdrant client | `>=1.9.1` | `>=1.12.0` | Update dependency |
 | Upstash client | `>=0.1.0` | `>=0.6.0` | Update dependency |
 
@@ -54,8 +53,8 @@ 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 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 |
+| 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 |
 
 ### Python Client SDK
 
@@ -105,7 +104,7 @@ 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 matching, 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 linking, no BM25 lemmatization).
 </Info>
 
 <Warning>
@@ -136,7 +135,7 @@ 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 memory is now a Mem0 Platform feature
+        # enable_graph and graph_store removed: graph store support has been removed
     }
     ```
   </Tab>
@@ -155,7 +154,7 @@ pip install fastembed
     // After
     const config = {
       customInstructions: "Focus on user preferences",  // [OK] New name
-      // enableGraph and graphStore removed: graph memory is now a Mem0 Platform feature
+      // enableGraph and graphStore removed: graph store support has been removed
     };
     ```
   </Tab>
@@ -321,31 +320,35 @@ pip install "qdrant-client>=1.12.0"
 pip install "upstash-vector>=0.6.0"
 ```
 
-### 6. Entity Matching Store Setup
+### 6. Entity Store Setup
 
-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.
+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.
 
 <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: Platform Only
+## Graph Memory: Now Built-In
 
-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.
+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.
 
-**What was removed from OSS:**
+**What was removed:**
 - `enable_graph` / `enableGraph` config flag
-- `graph_store` / `graphStore` configuration block
-- All external graph store drivers (Neo4j, Memgraph, Kuzu, Apache AGE, Neptune) and their code paths (~4000 lines)
+- `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.
 
 **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
-- If you need graph memory, use [Mem0 Platform](/platform/features/graph-memory) instead of self-hosted OSS
+- No data migration is required. Built-in graph memory activates automatically on the next `add()` call.
 
 <Warning>
-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.
+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.
 </Warning>
 
 ## How the New Algorithm Works
@@ -359,7 +362,7 @@ Input conversation
     → Batch embed extracted memories
     → Hash-based deduplication (MD5, prevents exact duplicates)
     → Batch insert into vector store
-    → Entity extraction (for entity matching)
+    → Entity extraction + linking
 ```
 
 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.
@@ -372,7 +375,7 @@ Query
     → Parallel scoring:
         1. Semantic search (vector similarity)
         2. BM25 keyword search (normalized term matching)
-        3. Entity matching (entity overlap boost)
+        3. Entity matching (entity graph boost)
     → Score fusion → Top-K selection
 ```
 
@@ -405,8 +408,8 @@ 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 matching) |
-| Entity matching store unavailable | No entity matching boost | Yes (semantic + BM25) |
+| `fastembed` (Qdrant) | No BM25 keyword search | Yes (semantic + entity) |
+| Entity store unavailable | No entity boosting | Yes (semantic + BM25) |
 
 You always get semantic search. Hybrid search features layer on top when available.
 
@@ -446,13 +449,13 @@ 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 memory is now a [Mem0 Platform feature](/platform/features/graph-memory))
+**Config:** `enable_graph` + `graph_store` → removed (graph store support removed entirely)
 
 ### TypeScript OSS: Removed/renamed parameters
 
 **Config:** `customPrompt` → renamed to `customInstructions`
 
-**Config:** `enableGraph` + `graphStore` → removed (graph memory is now a [Mem0 Platform feature](/platform/features/graph-memory))
+**Config:** `enableGraph` + `graphStore` → removed (graph store support removed entirely)
 
 **search():** `limit` → renamed to `topK`
 
@@ -518,9 +521,9 @@ If spaCy is not installed at all, install the NLP extras:
 pip install "mem0ai[nlp]"
 ```
 
-### Entity matching store collection creation fails
+### Entity store collection creation fails
 
-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.
+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.
 
 ### Score values are different from before
 

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

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

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, vector store, and reranker by passing a config when you create `Memory`.
+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.
 
 <Info>
   **Prerequisites**
@@ -90,11 +90,11 @@ Set your provider keys as environment variables:
 
 ```bash
 export OPENAI_API_KEY="..."
-export COHERE_API_KEY="..."   # Cohere reranker only
+export COHERE_API_KEY="..."   # Python reranker only
 ```
 
 <Note>
-  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).
+  The TypeScript OSS SDK configures the LLM, embedder, vector store, and history store. Reranker and graph memory are Python-only today.
 </Note>
 
 Prefer a config file? Load YAML into Python's `from_config`:
@@ -148,7 +148,7 @@ See the full catalog in <Link href="/components/llms/overview">Components</Link>
 - Qdrant connection errors: confirm port `6333` is exposed and the API key (if set) matches.
 - Empty search results: verify the embedder model name. A mismatch causes dimension errors.
 - `Unknown reranker` (Python): upgrade the SDK with `pip install --upgrade mem0ai` to load the latest provider registry.
-- `Cannot find module` (Node): two common causes. First, import from the OSS entry point, `import { Memory } from "mem0ai/oss"`, not `"mem0ai"`. Second, provider SDKs are optional peer dependencies loaded on demand, so install the one for the provider you configured (for example `npm install @qdrant/js-client-rest` for Qdrant). Installing `mem0ai` alone only pulls in the providers used by default; you do not need SDKs for providers you never select.
+- `Cannot find module` (Node): import from the OSS entry point, `import { Memory } from "mem0ai/oss"`, not `"mem0ai"`.
 
 <CardGroup cols={2}>
   <Card

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-5-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-4o-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-5-mini` | `provider`, `model`, `apiKey`, `llm` (nested override), `topK` |
+| `llm_reranker` | `openai` / `gpt-4o-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

@@ -35,7 +35,8 @@ pip install mem0ai
 from mem0 import Memory
 
 m = Memory()
-```
+
+````
 </Step>
 
 <Step title="Add a memory">
@@ -45,7 +46,7 @@ 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="m0-..."
+export MEM0_API_KEY="sk-platform-..."
 ```
 </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="m0-..."
+export MEM0_API_KEY="sk-platform-..."
 ```
 </Step>
 <Step title="Instantiate the client">
@@ -158,8 +158,6 @@ 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

@@ -1,19 +1,13 @@
 ---
 title: Sign up as an agent
-description: "Let an AI agent create its own Mem0 account and API key in four commands, with no email or dashboard needed."
+description: "Zero-friction signup for AI agents: mint a working Mem0 API key in under five seconds. No email, no dashboard, no OTP."
 icon: "robot"
 iconType: "solid"
 ---
 
-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.
+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.
 
-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
+## The 4-command demo
 
 <CodeGroup>
 ```bash npm
@@ -23,11 +17,11 @@ 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. Store a memory
-mem0 add "Prefers TypeScript over JavaScript for new projects"
+# 3. Push a memory
+mem0 add "I am using mem0"
 
-# 4. Search it back
-mem0 search "what language should I use"
+# 4. Verify
+mem0 search "am I using mem0"
 ```
 
 ```bash pip
@@ -37,22 +31,14 @@ pip install mem0-cli
 # 2. Sign up as an agent (replace `claude-code` with your name)
 mem0 init --agent --agent-caller claude-code
 
-# 3. Store a memory
-mem0 add "Prefers TypeScript over JavaScript for new projects"
+# 3. Push a memory
+mem0 add "I am using mem0"
 
-# 4. Search it back
-mem0 search "what language should I use"
+# 4. Verify
+mem0 search "am I using mem0"
 ```
 </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`
@@ -60,17 +46,17 @@ 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` 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.
+**Forgot `--agent-caller` on init?** Run `mem0 identify <your-name>` after the fact, same key, just back-fills the attribution. Idempotent.
 </Tip>
 
 ## What happened when you ran `mem0 init --agent`?
 
-- 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.
+- 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.
 
-Every command run with this key prints a one-line reminder to pass the claim instructions on to your human.
+Every command run against this key prints a one-line reminder asking you to surface the claim instructions to your human user.
 
 ## Claiming the account (for the human owner)
 
@@ -80,7 +66,7 @@ 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 spots the existing Agent Mode setup, emails a verification code, and upgrades the account in place:
+The CLI detects the existing Agent Mode config, sends a verification code, and upgrades the shadow account in-place:
 
 - **The API key never changes**, so the agent isn't disrupted.
 - **All memories transfer** to the human's account.
@@ -90,33 +76,31 @@ Pass `--code 123456` to skip the interactive code prompt for fully non-interacti
 
 ## Rate limits and quotas
 
-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:
+Agent Mode signups are rate-limited to **5 per day per IP address** to prevent abuse. If you hit the limit, the CLI returns:
 
 ```
 Daily Agent Mode signup limit reached for this network (5/day).
 Try again from a different IP or after midnight UTC.
 ```
 
-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.
+Unclaimed agent accounts get 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">
-Every command in full: `mem0 add`, `mem0 search`, `mem0 list`, and the rest.
+<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>
 
-<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">
-Give your agent memory as a set of tools instead of shell commands.
+Connect agents to Mem0 via the Model Context Protocol, as an alternative integration path.
 </Card>
 
-<Card title="Platform overview" icon="star" href="/platform/overview">
-Everything the account unlocks once a human claims it.
+<Card title="Platform Overview" icon="star" href="/platform/overview">
+The full Mem0 Platform feature set once you claim your account.
 </Card>
 </CardGroup>