mmry – local-first memory system for humans and AI agents

mmry is a local-first memory system for humans and AI agents. Store any text and find it again with multiple search strategies, pipe it anywhere with JSON.

Everything runs locally. No API keys, no cloud services, all data stays on your own machine.

mmry includes an optional background service that keeps the embedding model loaded in memory for near-instant embeddings

This is free and open source software.

Features include:

• Search modes: Pick what works for your query.
  • hybrid – Combines everything (default, usually best).
  • keyword – Exact matching.
  • fuzzy – Typo-tolerant.
  • semantic – Finds similar concepts using embeddings.
  • bm25 – Statistical relevance (like a search engine).
  • sparse – Neural sparse embeddings (SPLADE++).
• Memory types: Three types (auto-guessed or specify with --memory-type).
  • Episodic (events and experiences) – default.
  • Semantic (facts and knowledge) – if it contains “is” or “are”.
  • Procedural (how-to and instructions) – if it contains “step” or “how to”.
• Categories & Tags: Organize your memories.
  • Each memory belongs to one category (like a folder) and can have multiple tags:
• JSON all the way: Every command supports --json for scripting.

Website: github.com/byteowlz/mmry
Support:
Developer: byteowlz
License: MIT License

mmry is written in Rust. Learn Rust with our recommended free books and free tutorials.

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