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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Open memory standard for AI agents. Local-first, MCP-native, lives in your Obsidian vault. Bi-temporal markdown, hybrid retrieval, reproducible benchmark.
      32 PyPI
      16
      Apache 2.0
    • 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.
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Local-first, file-based memory layer for AI agents — one shared Markdown vault across Claude, Codex, Gemini, Cursor and any MCP client. Provides read/write memory tools with an audit trail, per-agent trust levels, and Git sync; no cloud and no lock-in.
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Gives every AI agent a shared, persistent memory by ingesting Obsidian vaults, code, transcripts, bookmarks and terminal sessions into a three-tier SQLite FTS5 store, then serving token-optimized hybrid retrieval, classification, promotion and cross-source synthesis over MCP and REST. This lets multiple agents read from and write to one compounding brain so each session starts with better context than the last.
      14 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Self-hosted MCP-native agent memory server. Gives AI agents persistent, decay-weighted memory via 83 MCP tools — no cloud, full control. RocksDB+HNSW backend. Works with Claude Code, Cursor, and any MCP-compatible agent.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Local-first knowledge backend for AI agents that connects MCP hosts to an Obsidian-compatible vault with indexed retrieval, token-budgeted memory recall, and secure ingestion.
      1
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    TDQS

    B3.3/5.0

    Scored across 5 tools

    Disambiguation4/5

    search and recall are similar but their outputs differ (index vs full text). build_context, recent, and remember are clearly distinct. No two tools appear to do the exact same thing.

    Naming Consistency3/5

    Naming mixes single verbs (search, recall, remember), a verb_noun (build_context), and an adjective (recent). All lowercase and readable, but no consistent pattern.

    Tool Count5/5

    5 tools is well-scoped for a memory vault: search, recall, context building, recent listing, and writing. Each tool earns its place without redundancy.

    Completeness4/5

    Core operations are covered: create (remember), search, retrieve, list, and context expansion. Missing update/delete but these may be out of scope for a memory vault.

    Maintenance

    ActivityMaintained
    ResponsivenessWithin a week