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MemMesh v0.1.0

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@rrader26 rrader26 released this 22 Jul 20:51
· 14 commits to main since this release
2792d43

Persistent, self-improving memory for AI agents — a local-first memory engine in Rust. One binary that runs as a desktop component (SQLite) or a server backend (Postgres), speaks the Model Context Protocol, and wires into your AI tools with a single command.

Highlights

  • Uncapped and open — Apache-2.0, no memory limits in the self-hosted engine.
  • Local-first — your data never leaves your machine; no external vector DB or search cluster required.
  • Typed, scoped, bi-temporal memory — facts, contacts, and relationships with valid_from/valid_to and provenance; records when something happened in the world vs when it was stored.
  • MCP-nativeobserve, save, recall, search, and more, exposed as MCP tools for Claude Code, Cursor, and any MCP client.
  • Zero-LLM knowledge graph — entities and edges built deterministically, no per-memory LLM calls.
  • Sync — push/pull between local and server.

Install

See the README for install options. Source archives are attached below.

Prebuilt binaries (macOS / Linux / Windows) and a Homebrew tap are coming in a follow-up release.