Mem0 (Autonomous Memory)
The mem0 MCP server provides a memory capabilities layer for AI assistants, enabling them to store, retrieve, and utilize information across conversations. Built with FastAPI and the mem0ai library, it features an autonomous memory system that automatically extracts user information from conversations without requiring explicit commands, categorizes it appropriately, and injects relevant memories into future interactions. The implementation supports multiple LLM providers including OpenAI, Anthropic, Google, and Ollama, with configurable embedding models for semantic search. This server is particularly valuable for applications requiring persistent user context, personalized interactions, and long-term memory capabilities that enhance the natural flow of AI conversations.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/pinkpixel-dev/mem0-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Mem0 (Autonomous Memory) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.