Memstate AI - MCP
Versioned memory for AI agents. Store facts, detect conflicts, and track how decisions change over time — exposed as a hosted MCP server.
Why Memstate?
| RAG (most other memory systems) | Memstate AI | |
|---|---|---|
| Token usage per conversation | ~7,500 | ~1,500 |
| Agent visibility | Black box | Full transparency |
| Memory versioning | None | Full history |
| Token growth as memories scale | O(n) | O(1) |
| Infrastructure required | Yes | None — hosted SaaS |
Other memory systems dump everything into your context window and hope for the best. Memstate gives your agent a structured, versioned knowledge base it navigates precisely — load only what you need, know what changed, know when facts conflict.
Benchmarks
We built an open-source benchmark suite that tests what actually matters for agent memory: can your system store facts, recall them accurately across sessions, detect conflicts when things change, and maintain context as a project evolves?
Head-to-Head: Memstate AI vs Mem0
Both systems were tested under identical conditions using the same agent (Claude Sonnet 4.6, temperature 0), the same scenarios, and the same scoring rubric.






