Supermemory drops persistent agent memory engine
Supermemory is an open-source memory engine and API that provides AI agents with persistent, evolving context. By extracting facts and maintaining structured user profiles, it solves the "amnesia" problem in standard RAG implementations while offering seamless integration via the Model Context Protocol (MCP).
Supermemory shifts the paradigm from static vector search to dynamic, stateful memory that actually understands temporal changes.
- –Outperforms standard RAG on benchmarks like LongMemEval and LoCoMo by focusing on fact extraction over simple text chunking.
- –Native MCP support allows the memory hub to function as a universal gateway for tools like Claude Desktop, Cursor, and VS Code.
- –Automatically resolves contradictions and updates user preferences (e.g., location or tech stack) without manual database management.
- –Open-source and self-hostable architecture addresses critical privacy requirements for developers building long-term AI context layers.
- –Backed by $3M in seed funding from industry heavyweights including Google's Jeff Dean and OpenAI executives.
DISCOVERED
64d ago
2026-03-24
PUBLISHED
64d ago
2026-03-24
RELEVANCE