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feat(skills): introduce Mem0 skill graph with dedicated CLI and Vercel AI SDK skills (#4725)

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Saket Aryan
2026-04-06 20:41:29 +05:30
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skills/mem0/SKILL.md
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---
name: mem0
description: >
Integrate Mem0 Platform into AI applications for persistent memory, personalization, and semantic search.
Use this skill when the user mentions "mem0", "memory layer", "remember user preferences",
"persistent context", "personalization", or needs to add long-term memory to chatbots, agents,
or AI apps. Covers Python and TypeScript SDKs, framework integrations (LangChain, CrewAI,
Vercel AI SDK, OpenAI Agents SDK, Pipecat), and the full Platform API. Use even when the user
doesn't explicitly say "mem0" but describes needing conversation memory, user context retention,
or knowledge retrieval across sessions.
Mem0 Platform SDK for adding persistent memory to AI applications.
TRIGGER when: user mentions "mem0", "MemoryClient", "memory layer",
"remember user preferences", "persistent context", "personalization",
or needs to add long-term memory to chatbots, agents, or AI apps.
Covers Python SDK (mem0ai), TypeScript SDK (mem0ai), and framework integrations
(LangChain, CrewAI, OpenAI Agents SDK, Pipecat, LlamaIndex, AutoGen, LangGraph).
Also covers the open-source self-hosted Memory class.
This is the DEFAULT mem0 skill for ambiguous queries.
DO NOT TRIGGER when: user asks about CLI commands, terminal usage, or shell
scripts (use mem0-cli), or Vercel AI SDK / @mem0/vercel-ai-provider / createMem0
(use mem0-vercel-ai-sdk).
license: Apache-2.0
metadata:
author: mem0ai
version: "1.0.0"
version: "2.0.0"
category: ai-memory
tags: "memory, personalization, ai, python, typescript, vector-search"
compatibility: Requires Python 3.10+ or Node.js 18+, pip install mem0ai or npm install mem0ai, MEM0_API_KEY env var, and internet access to api.mem0.ai
compatibility: Requires Python 3.10+ or Node.js 18+, pip install mem0ai or npm install mem0ai, MEM0_API_KEY env var (Platform), and internet access to api.mem0.ai
---
# Mem0 Platform Integration
Mem0 is a managed memory layer for AI applications. It stores, retrieves, and manages user memories via API — no infrastructure to deploy.
> **Skill Graph:** This skill is part of the Mem0 skill graph:
> - **mem0** (this skill) -- Platform Client SDK + OSS (Python + TypeScript)
> - **[mem0-cli](../mem0-cli/SKILL.md)** ([GitHub](https://github.com/mem0ai/mem0/tree/main/skills/mem0-cli)) -- Command-line interface
> - **[mem0-vercel-ai-sdk](../mem0-vercel-ai-sdk/SKILL.md)** ([GitHub](https://github.com/mem0ai/mem0/tree/main/skills/mem0-vercel-ai-sdk)) -- Vercel AI SDK provider
Mem0 is a managed memory layer for AI applications. It stores, retrieves, and manages user memories via API — no infrastructure to deploy. For self-hosted usage, see the OSS section in the client references below.
## Step 1: Install and authenticate
@@ -134,14 +143,24 @@ def chat(user_input: str, user_id: str) -> str:
For the latest docs beyond what's in the references, use the doc search tool:
```bash
python scripts/mem0_doc_search.py --query "topic"
python scripts/mem0_doc_search.py --page "/platform/features/graph-memory"
python scripts/mem0_doc_search.py --index
python ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.py --query "topic"
python ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.py --page "/platform/features/graph-memory"
python ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.py --index
```
No API key needed — searches docs.mem0.ai directly.
## References
## Client SDK References
Language-specific deep references (Platform + OSS):
| Language | File |
|----------|------|
| Python (MemoryClient + AsyncMemoryClient + Memory OSS) | [client/python.md](client/python.md) |
| TypeScript/Node.js (MemoryClient + Memory OSS) | [client/node.md](client/node.md) |
| Python vs TypeScript differences | [client/differences.md](client/differences.md) |
## Platform References
Load these on demand for deeper detail:
@@ -152,5 +171,12 @@ Load these on demand for deeper detail:
| API reference (endpoints, filters, object schema) | [references/api-reference.md](references/api-reference.md) |
| Architecture (pipeline, lifecycle, scoping, performance) | [references/architecture.md](references/architecture.md) |
| Platform features (retrieval, graph, categories, MCP, etc.) | [references/features.md](references/features.md) |
| Framework integrations (LangChain, CrewAI, Vercel AI, etc.) | [references/integration-patterns.md](references/integration-patterns.md) |
| Framework integrations (LangChain, CrewAI, OpenAI Agents, etc.) | [references/integration-patterns.md](references/integration-patterns.md) |
| Use cases & examples (real-world patterns with code) | [references/use-cases.md](references/use-cases.md) |
## Related Mem0 Skills
| Skill | When to use | Link |
|-------|-------------|------|
| mem0-cli | Terminal commands, scripting, CI/CD, agent tool loops | [local](../mem0-cli/SKILL.md) / [GitHub](https://github.com/mem0ai/mem0/tree/main/skills/mem0-cli) |
| mem0-vercel-ai-sdk | Vercel AI SDK provider with automatic memory | [local](../mem0-vercel-ai-sdk/SKILL.md) / [GitHub](https://github.com/mem0ai/mem0/tree/main/skills/mem0-vercel-ai-sdk) |