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Related Servers

Alternatives to afair

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      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.
      10 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Self-hosted, local-first knowledge graph and memory server for AI agents. Enables agents to persist, recall, and organize knowledge through MCP with automatic distillation, deduplication, and cross-linking.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Self-hosted semantic memory for AI agents. Save worklogs, decisions, and notes via MCP, then recall them across sessions by meaning rather than keyword. Backed by Postgres + pgvector with local embeddings (multilingual-e5-base).
      1
      MIT
    • 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.
      63 PyPI
      16
      Apache 2.0

    TDQS

    A4.9/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a completely distinct and clear purpose: remember saves user facts, recall retrieves them, and observe logs agent actions. There is no possible confusion between the tools.

    Naming Consistency5/5

    All three tool names are imperative verbs (remember, recall, observe) that directly describe their action, forming a consistent and predictable pattern. No naming convention conflicts.

    Tool Count5/5

    Three tools is exactly right for a memory vault server: one to write user memories, one to read them, and one to log agent activity. Each tool earns its place without any redundancy or scope creep.

    Completeness5/5

    The tool set covers the full memory lifecycle: creation (remember), retrieval/search (recall), and agent activity logging (observe). There are no obvious gaps—the domain is self-contained and complete for a vault that persists across sessions.

    Maintenance

    ActivitySlowing
    ResponsivenessLimited data