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Graft – semantic memory for AI agents, without the LLM

Graft is a lightweight, local-first semantic memory tool for AI agents. It persists knowledge across sessions, machines, and agents using a single binary and SQLite database, with millisecond retrieval. It features verified semantic cache, graph-based memory, multi-tenant profiles, and seamless integration with major AI tools like Claude Code, Codex, ChatGPT, and more.

SourceHacker News AIAuthor: AEndrix03
Graft – semantic memory for AI agents, without the LLM
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Key points and analysis

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Key points

  • Local-first: single binary + SQLite, no network or API key required.
  • Semantic cache: verified top-1 hits return in milliseconds, reducing LLM costs.
  • Graph memory: memories linked via keywords and semantic edges, enabling graph walks.
  • Multi-agent sharing: multiple AI tools on the same machine share the same memory graph.

Highlights and analysis are generated automatically and may contain errors. Check the original source.