MenteDB
An open-source Rust database engineered from scratch for AI agent memory, featuring semantic search, contradiction detection, and transformer-optimized context assembly.
At a Glance
About MenteDB
MenteDB is an open-source, Apache 2.0-licensed Rust database built from the ground up as a cognitive memory engine for AI agents. Unlike vector database wrappers, it implements a purpose-built storage engine with HNSW indexing, graph-based belief propagation, and transformer-optimized context assembly. It ships a production MCP server with 32 tools across 6 categories, enabling Claude, Cursor, ChatGPT, and any MCP-compatible client to gain persistent memory with a single URL or CLI command.
- Sleeptime Enrichment — Background pipeline extracts semantic facts, links entities, detects communities, and builds user profiles from raw conversations automatically.
- Hybrid Search (BM25 + HNSW + RRF) — Combines keyword precision with semantic vector search for best-of-both-worlds memory retrieval.
- Contradiction Detection — Flags conflicting beliefs the moment they appear, preventing stale or inconsistent memories from polluting AI context.
- Pain Signals — Records negative feedback and past mistakes, surfacing anti-patterns before the AI repeats them.
- Bi-Temporal Validity — Memories carry valid_from/valid_until timestamps, enabling point-in-time queries and temporal invalidation instead of deletion.
- Phantom Memories — Detects knowledge gaps and creates placeholder memories so the AI knows what it does not know.
- Speculative Pre-Assembly — Predicts upcoming queries and pre-builds context windows, reducing latency and token waste.
- MCP Integration (32 tools) — Connect via stdio locally or Streamable HTTP remotely; setup takes one CLI command:
npx mentedb-mcp@latest setup copilot. - Native SDKs — Rust, Python, and TypeScript bindings available via
cargo add,pip install, ornpm install. - Cross-Device Cloud Sync — Cloud mode keeps every device synchronized to the same memory store instantly.
- API Key Management & Webhooks — Dashboard-based key scoping, HMAC-signed webhook payloads, delivery logs, and automatic retries for production deployments.
- Token Efficiency — Compact format delivers 2.3x fewer tokens than raw JSON; delta savings of ~80% over 20 turns.
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Pricing
Free
Get started with persistent memory for your AI agents.
- 100 memories
- 200 turns per month
- 1 project
- Cloud sync across devices
- All MCP tools
Pro
For power users and teams who need more capacity.
- Unlimited memories
- 50,000 turns per month
- Unlimited projects
- Everything in Free
Capabilities
Key Features
- Sleeptime enrichment pipeline
- Hybrid BM25 + HNSW + RRF search
- Contradiction detection
- Pain signals for mistake prevention
- Bi-temporal memory validity
- Phantom memory gap detection
- Speculative context pre-assembly
- Stream processing with real-time belief updates
- Write inference at write time
- Trajectory tracking across topic space
- Interference shielding
- LLM cognitive inference for belief compatibility
- 32-tool MCP server
- Cross-device cloud sync
- Native Rust, Python, TypeScript SDKs
- API key management
- Webhooks with HMAC signing and delivery logs
- Graph-based belief propagation
- Delta savings (~80% over 20 turns)
- Point-in-time temporal queries