Skip to main content
Glama
r-darwish

daruma

by r-darwish
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to daruma

No user-submitted related servers found.

    Related Servers

    • Lessons Learned MCP Server

      ashwinmram
      F
      license
      Not graded
      quality
      C
      maintenance
      Central MCP server for storing and querying lessons learned and project-specific implementation details, compatible with MCP-capable AI clients like Cursor, Claude Code, and Google Antigravity.
      -

    • apex-memory

      JJerryChoi
      A
      license
      Not graded
      quality
      C
      maintenance
      Persistent memory for AI coding agents. Enables agents to save and recall decisions, patterns, bugs, and context across sessions via an MCP server with local SQLite storage.
      13 npm
      2
      MIT

    • regret-mcp

      yulinlina
      A
      license
      Not graded
      quality
      C
      maintenance
      A tiny local MCP memory server that stores lessons learned and resurfaces them before your AI agent repeats the same mistake. It provides tools for adding, searching, listing, forgetting, and inspecting lessons via MCP stdio.
      MIT

    • coster

      savai15
      A
      license
      Not graded
      quality
      A
      maintenance
      MCP server that provides offline-first, persistent memory for AI coding assistants. It captures project decisions and conventions into a local SQLite database and syncs them to tool-specific memory files like CLAUDE.md and AGENTS.md.
      12 npm
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: workspace context, recent changes, lesson listing, reading, searching, and storing. No two tools could be confused even with less-than-perfect descriptions.

    Naming Consistency5/5

    All tools use consistent verb_noun patterns with underscores (e.g., get_current_context, list_context_lessons, store_lesson). No mixing of cases or styles.

    Tool Count5/5

    Six tools is well-scoped for the server's domain of context-aware lesson management. Each tool earns its place without being excessive or insufficient.

    Completeness3/5

    Covers core CRUD for lessons (create via store_lesson, read via list/read/search) but lacks update and delete operations. Context and history tools are read-only, which is acceptable, but lesson lifecycle is incomplete.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources