#3333rd of 67 in MCP servers for developers
mcp-memory-service
Self-hosted memory service for AI agents with REST API and MCP
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- Stars
- 2k
- License
- Apache-2.0
- Last commit
- Oct 2026
- Last release
- Oct 2026
- Language
- Python
1,549 on 31 Mar 20262,031 on 20 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Python service that stores and retrieves agent memories through a REST API, MCP, a CLI and a web dashboard on port 8000. It combines local ONNX embeddings with BM25 search, a typed knowledge graph, and scheduled consolidation, on SQLite by default. Hybrid (Cloudflare or another instance) and Milvus backends are optional.
Who it is for: Developers giving coding assistants or agent pipelines persistent shared memory
Strengths
- Same store reachable via REST, MCP, CLI and dashboard; no MCP client needed for LangGraph or CrewAI
- Embeddings run locally with ONNX and SQLite; core operations stay on your machine
- Backends: SQLite, Cloudflare, Hybrid sync, Milvus; also imports mem0 exports
- Binds to 127.0.0.1 by default; OAuth 2.0 supported for remote claude.ai and ChatGPT use
Weaknesses
- Maintained by one person, per the README
- No Docker or compose file detected in the repository
- Summaries, bootstrap profiles and quality scoring need extra env flags or an LLM endpoint
- Bootstrap profiles are not isolated by project
What it needs
- no GPU
- Needs SQLite, Cloudflare (optional), Milvus (optional), OpenAI-compatible LLM endpoint (optional)
- Models: ONNX embeddings (local), OpenAI-compatible endpoints (Ollama, LiteLLM, vLLM) for quality scoring
- port 8000
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