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    Related Servers

    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables AI coding agents and IDEs to capture conversations, extract structured knowledge into a queryable graph database, and recall past decisions, patterns, files, and errors across all projects and workspaces. Provides persistent memory tools for saving, searching, and cleaning up knowledge via MCP.
      2
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to capture, store, and retrieve durable learnings from projects via MCP tools, providing a queryable memory of product and technical lessons across repos.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to persistently remember, recall, and forget facts, preferences, and decisions through MCP, keeping project-scoped and personal memory available across sessions and clients.
      30 PyPI
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Gives AI coding agents a persistent memory that carries across sessions and projects, letting them save and search decisions, bug fixes, and discoveries through MCP tools. Each new session loads the recent memories of the current project so agents resume with the same context instead of re-explaining it.
      5
      MIT

    TDQS

    A4.2/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: capture (manual save), distill (automatic import), endorse (vouch), export_markdown (render), generalize (restate as cross-project rule), import_memory (ingest external exports), promote (graduate scopes), recall (search), record_need (record a need), review_promotions (list eligible items), setup (initial config), stale_report (find stale entries), status (check config), verify_entry (confirm entry). Only minor overlap between capture and distill, but descriptions clarify the difference.

    Naming Consistency5/5

    Tool names follow a consistent verb_noun pattern with underscores (e.g., record_need, review_promotions, export_markdown, verify_entry). Some are single verbs (capture, distill, endorse, generalize, promote, recall, setup, status), which is also consistent. No mixing of camelCase or other conventions.

    Tool Count5/5

    14 tools is well-scoped for a knowledge management server covering capture, import, search, promotion, verification, reporting, and configuration. The number feels appropriate—not too few to miss functionality, not too many to be overwhelming.

    Completeness4/5

    The tool set covers the knowledge lifecycle comprehensively: creation (capture, distill, import_memory), search (recall), promotion (promote, review_promotions), endorsement (endorse), verification (verify_entry, stale_report), rendering (export_markdown), generalization (generalize), and setup. Missing explicit delete or update tools, but the domain may not require them (items can become stale). Minor gap.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues