MCP Memory Service

Open-source persistent memory backend for AI agents that stores and retrieves context across sessions using hybrid BM25 + vector search, with optional Cloudflare sync for multi-device and multi-agent memory sharing.

Evaluated Mar 01, 2026 (51d ago) vlatest

Homepage ↗ Repo ↗ Ai Infrastructure memory persistence vector-search chromadb sqlite cloudflare multi-agent knowledge-graph python

⚙ Agent Friendliness

/ 100

Can an agent use this?

🔒 Security

/ 100

Is it safe for agents?

⚡ Reliability

N/A

Not evaluated

Does it work consistently?

Best When

You have long-running AI agent workflows or multi-session projects where context loss between sessions is a significant friction point, and you want local-first storage with optional cloud sync.

Avoid When

You need a fully managed cloud memory service with zero infrastructure setup, or you are on Python 3.13 and cannot downgrade. Also avoid if macOS system Python is your only option (requires Homebrew Python for sqlite extensions).

Use Cases

• Persisting project decisions and architectural context across Claude Code sessions without re-explaining
• Multi-agent pipelines where multiple AI agents share a common memory store with typed causal relationships
• Reducing token overhead by externalizing long-term context from the AI's context window
• Team collaboration scenarios where AI memory is synchronized across devices via Cloudflare Workers KV
• Ingesting and semantically searching across PDF, TXT, MD, and JSON knowledge documents

Not For

• Users on Python 3.13 (sqlite-vec compatibility issue; use Python 3.12)
• Simple single-session use cases where in-context memory is sufficient
• Teams needing a fully managed SaaS memory solution (requires self-hosting)

Alternatives

mem0 zep chromadb-direct mcp-knowledge-graph

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Scores are editorial opinions as of 2026-03-01.