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  • A
    license
    A
    quality
    C
    maintenance
    Exposes the Hermes Atlas ecosystem catalog of 100+ community-built tools, skills, and plugins for Nous Research's Hermes Agent to any MCP-aware client, enabling natural language queries and searches.
    5
    76 npm
    13
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Transforms internal Hermes documents (PRDs, RFCs, specs) into agent tools for relevance search, metadata, and full content retrieval, plus a skill to cross-check specs against code.
    8
    80 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables persistent project memory for Hermes Agent by storing and retrieving wiki, code, and learning layers locally, with tools to recall, learn, retire, and ingest information beyond the context window.
    6
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables agents to run cross-runtime, cross-machine BM25 full-text search over historical conversations from Hermes, Google Antigravity, OpenClaw, Codex, and Claude Code, and to retrieve any past session's full transcript by ID. Queries return only ranked matching snippets, so recall costs no extra tokens or embeddings.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Hybrid RAG over Claude Code and Hermes session history via MCP tools for search, ingest, and context injection.
    -
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables multiple Hermes agents to persist and retrieve shared knowledge via a local graph-based memory system, supporting hybrid search, entity context exploration, and memory management.
    -
  • A
    license
    Not graded
    quality
    A
    maintenance
    Local-first memory for AI agents: one store shared by Claude Code, Codex CLI, Cursor, Pi, Hermes, OpenClaw, and any MCP client. Plain markdown with YAML frontmatter on your disk, hybrid BM25 + vector recall with per-result provenance (Recall X-ray), a correction contract, and the MemCorrect benchmark.
    223
    MIT