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Related Servers

Alternatives to context-ledger

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to persistently store, semantically search, and recall project-specific and cross-project knowledge across sessions, with everything kept local in SQLite. It also exposes project context, guidelines, and preferences as MCP resources for agents to read and write directly.
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides AI agents with persistent, local, and shareable project memory by storing decisions and code context in a searchable SQLite index, supporting keyword and semantic search via MCP.
      3
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Gives coding agents a local, SQLite-backed memory of a codebase, enabling them to query symbol impact, change history, and task scope through MCP while recording what actually changed after edits.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides persistent, searchable memory for AI agents across any MCP-compatible client, storing project context, user preferences, and session learnings locally in SQLite with tools to save, retrieve, search, and manage them.
      12
      9 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides coding agents with persistent, queryable repository memory over MCP, enabling code search, cited question answering, repo maps, decision logs, and cross-session notes through local-first tools.
      394 npm
      MIT

    TDQS

    B3.4/5.0

    Scored across 5 tools

    Disambiguation4/5

    The four memory tools (search, record, supersede, dispute) each map to a clearly distinct lifecycle action, and descriptions reinforce the boundaries. The only mild overlap is between search_memory and get_file_context, both being retrieval tools, but the file-scoped/parent-directory semantics of get_file_context make them distinguishable.

    Naming Consistency5/5

    All names follow a clean snake_case verb_noun pattern (search_memory, record_memory, supersede_memory, dispute_memory, get_file_context) with no mixing of conventions or vague verbs. The pattern is fully predictable.

    Tool Count5/5

    Five tools is well-scoped for a memory ledger: one create, two retrieval paths, and two state-transition operations. Each tool earns its place without redundancy or obvious bloat.

    Completeness4/5

    The surface covers the core ledger lifecycle: recording, searching, retiring (supersede), and flagging (dispute), plus file-scoped retrieval. Minor gaps exist, such as retrieving a single record by id or listing all memories, but these are workarounds via search rather than hard dead ends.

    Maintenance

    ActivityStale
    ResponsivenessNo issues