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brain

brain

by Lautaro005
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Python
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    • Make0 Brain

      Make0 Brainofficial

      make0-official
      A
      license
      A
      quality
      B
      maintenance
      Gives every AI agent you use one shared, versioned memory in a local SQLite file, so a fact saved from one app is found by all the others. Runs fully offline with no API key, records which agent wrote each change, and keeps every prior version so nothing is silently overwritten.
      7
      964 npm
      8
      MIT

    • SharedBrain

      awictor
      A
      license
      Not graded
      quality
      B
      maintenance
      Local-first, multi-user shared memory for AI agents with semantic search, offline support, and team synchronization.
      MIT

    • shyn

      shyn-labs
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to search and retrieve memories from your Mac, including screen captures, meeting transcripts, and browsing history, all locally and privately.
      1
      Elastic 2.0

    • Sugar

      larry9154
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to store and retrieve persistent project and cross-project memories via semantic search, so decisions, preferences, error patterns, and guidelines survive across sessions. Optionally supports autonomous task execution built on the same local-first knowledge store.
      -

    • MeMCP

      haitham72
      A
      license
      Not graded
      quality
      C
      maintenance
      Gives AI agents a durable, locally hosted temporal memory built from a markdown vault you own, exposing hybrid semantic/lexical/entity search over events, threads, transcripts, entity relationships with validity dates, and patterns with confidence decay. Writes are approval-gated, so agents can draft, commit, and sync new memories while keeping every index rebuildable and nothing leaving your machine.
      MIT

    • Link

      gowtham0992
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to capture, structure, remember, and retrieve source-backed memory as local Markdown files, with reviewable writes and no cloud dependency.
      218
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.6/5.0

    Scored across 31 tools

    Disambiguation4/5

    Despite many search-ish tools (web_search, search_knowledge, openblocks_search, lumina_search, fact_check, read_url), each targets a clearly distinct source or action and descriptions explicitly cross-reference when to use which (read_url vs save_url, fact_check vs web_search). A few pairs like read_url/save_url and search_knowledge/openblocks_search could still be misread at a glance, keeping it just below perfect clarity.

    Naming Consistency4/5

    Names are uniformly snake_case and mostly verb_noun (save_url, read_file, list_sources, add_memory, refresh_sources). Minor deviations exist in noun-first or ambiguous forms like web_search, fact_check, memory_history, and vault_overview, but the convention remains predictable overall.

    Tool Count3/5

    31 tools is on the heavy side (25+), with several near-clustered search/URL/file variants. The app genuinely spans vault, knowledge, memory, skills, graph, and connections, so most tools earn their place, but the surface is borderline unwieldy for a single server.

    Completeness4/5

    File lifecycle (read/write/append/str_replace/set_frontmatter/move/delete/history/restore) and memory (add_memory/memory_history with supersede) are well covered, plus search, sources, skills, and graph. Minor gaps remain: no explicit remove/disconnect connection tool (only list/refresh/propose) and no memory deletion, but these are workable.

    Maintenance

    ActivityActive
    ResponsivenessNo recent community issues

    Resources