MemDB
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PROJECT MEMDB / 0023 RELEASE v0.23.0 — 72.5% LoCoMo

Self-hosted AI memory · Apache-2.0

Your data stays yours.

Memory that runs on your machine. Drop-in for Claude.

Install adapter View on GitHub

Core capabilities

Memory that works like yours

Three primitives. Everything your agent needs to learn, recall, and comply.

Remember

Every conversation, preference, and decision — persisted automatically. MemDB extracts entities, classifies memory types, and deduplicates. Your agent gets smarter with every interaction.

Recall

Ask in natural language, get the right context back. Hybrid vector + fulltext search with temporal decay — recent memories rank higher. Results in under 50ms.

Forget

GDPR compliance built in. Delete a single memory, a user's entire history, or everything in a namespace. Instant. No reindex. No residual embeddings.

Three Claude integration surfaces

Plug MemDB into Claude. Pick your surface.

Same memory backend, three install paths. The Anthropic memory_20250818 adapter is a drop-in — no code changes for users already on the official tool spec.

Claude Code plugin

Auto-injects memories into your IDE context. Install via the Claude Code plugin manager and forget it exists.

MCP server

Built-in MCP at :8001 for Claude Desktop, Cursor, Windsurf, or any MCP-compatible host. stdio + HTTP transport.

Anthropic memory_20250818 adapter

Python drop-in for the official Claude memory tool. Swap one import — no SDK changes, no prompt rewrites.

Benchmarks

72.5%
LoCoMo LLM Judge
1.7ms
cached search p50
350ms
uncached search p50
System LoCoMo LLM Judge License
1. Memobase 75.78% Commercial cloud
2. Zep 75.14% Apache-2.0 + Cloud
3. MemOS 73.31% Apache-2.0
MemDB v0.23.0 72.50% Apache-2.0
5. Mem0 66.88% Commercial cloud

LoCoMo chat-50 stratified, LLM Judge by Gemini Flash, category 5 excluded. Methodology and raw results: MILESTONES.md.

Start in minutes

# Add a memory
curl -X POST https://api.memdb.ai/product/add \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "user_id": "agent-123",
    "messages": [{"role": "user", "content": "I prefer bullet points"}]
  }'

# Search memories
curl -X POST https://api.memdb.ai/product/search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"user_id": "agent-123", "query": "formatting preferences", "top_k": 5}'

# Delete memories
curl -X POST https://api.memdb.ai/product/delete_memory \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"user_id": "agent-123", "memory_ids": ["mem_abc"]}'

Built to run offline

No External APIs

ONNX embeddings run locally. LLM extractor works with Ollama, vLLM, or any OpenAI-compatible API — no cloud LLM required. Fully air-gappable.

One Database

Everything in PostgreSQL: vectors (pgvector HNSW), graph (Apache AGE), fulltext (tsvector). No separate graph DB, no managed vector service. One backup, one migration path.

MCP Native

Built-in MCP server with stdio + HTTP transport. Claude Code, Cursor, Windsurf — any MCP client connects instantly. No SDK integration needed. Your agent gets memory in one config line.

Frequently asked questions

MemDB runs entirely self-hosted with no external API calls. Embeddings are ONNX (local), not OpenAI. The MCP server is built in — no SDK needed. Everything runs in one PostgreSQL instance (pgvector + Apache AGE). And it's the only system on the LoCoMo leaderboard with a drop-in Anthropic memory_20250818 adapter.
v0.23.0 scores 72.5% on LoCoMo LLM Judge (chat-50 stratified, category 5 excluded, judged by Gemini Flash). That sits between MemOS (73.31%) and Mem0 (66.88%), with Memobase (75.78%) and Zep (75.14%) ahead. Methodology and raw results are in MILESTONES.md.
Yes. ONNX embeddings run locally, LLM uses Ollama or any local model, PostgreSQL stores everything. No phone-home, no telemetry. Fully air-gappable.
api.memdb.ai is live for teams who want zero-ops. Same API, same features, managed infrastructure. Self-hosted is free and always will be.
1.7ms for cached queries (Redis 30s TTL), 350ms uncached (ONNX embed + parallel DB). At 20 req/s sustained, 100% success rate. Numbers from real vegeta load tests on ARM64.
Any. MCP for Claude Code / Cursor / Windsurf. REST API for LangChain, CrewAI, custom agents. No vendor lock-in — it is a standard HTTP API with Bearer auth.
Yes — for Anthropic's official memory tool we ship `memdb-claude-memory-tool` (v0.1.0): a drop-in replacement for `memory_20250818` that points at MemDB instead of in-process state. `pip install git+https://github.com/anatolykoptev/memdb-claude-memory-tool@v0.1.0`. For other use-cases, the REST API and MCP server cover everything.

Join the waitlist

Be first to know when the hosted API opens. Self-hosted is available now on GitHub.