mem0-integration
Mem0 memory layer integration for AI agents. Implement persistent, semantic memory for long-term context retention and personalization.
npx skills add a5c-ai/babysitter --skill mem0-integration --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# mem0-integration Integrate Mem0 (formerly MemGPT) as a universal memory layer for AI agents. Enable persistent memory storage, semantic search across memories, and personalized context retrieval. ## Overview Mem0 provides intelligent memory management for AI applications: - Persistent storage of conversation history and facts - Semantic search across stored memories - User-specific memory isolation - Automatic memory extraction from conversations - Support for local and cloud deployments ## Capabilities ### Memory Operations - Add memories from text or conversations - Search memories semantically - Retrieve relevant context by user/agent - Update and delete memories - Get memory history with timestamps ### Memory Types - Conversation memories (dialogue history) - Fact memories (extracted information) - Preference memories (user preferences) - Entity memories (people, places, things) ### Storage Backends - Local SQLite/JSON storage - PostgreSQL for production - Qdrant vector database integration - Cloud-hosted Mem0 platform ### Integration Patterns - LangChain memory integration - Direct API usage - MCP server connectivity - CrewAI and AutoGen compatibility ## Usage ### Basic Setu
- Overview
- Capabilities
- Memory Operations
- Memory Types
- Storage Backends
- Integration Patterns
- Usage
- Basic Setup
- Adding Memories
- Searching Memories
- Getting All Memories
- Memory History
- LangChain Integration
- MCP Server Usage
What does the mem0-integration skill do?
Mem0 memory layer integration for AI agents. Implement persistent, semantic memory for long-term context retention and personalization.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill mem0-integration --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.