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MetaBrain

Provides a durable, searchable local store for notes, source snippets, task context, metadata, tags, links, and version history, with CLI and optional server.

metaBrain is a local-first document memory system for AI tools, coding agents, and humans. It solves the problem of scattered notes and context by providing a durable, searchable store with predictable paths, tags, metadata, and version history. It targets developers, ops, and IT professionals in small to large companies, as well as individual users. It is positioned as a local-first, open-source alternative to cloud-based memory tools, with a CLI and optional local server for concurrent access.

Key features

  • Durable local store with predictable paths
  • Searchable content with tag and metadata filters
  • Version history with snapshots
  • Apply unified diffs to stored documents
  • Optional local server for concurrent access
  • Multi-store support via daemon
  • Auto-probing for server availability
  • Local-only with Unix sockets or loopback HTTP
  • Open source under BSD 3-Clause
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