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Related Servers

Alternatives to ContextOS

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Standardize Context, Not Intelligence. An open protocol and native MCP server for preserving, organizing, and serving structured project context (architecture, decision logs, domain rules, and roadmap) to AI coding assistants (Cursor, Claude Desktop, Antigravity) with built-in CLI verification
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Persistent memory MCP server for Claude Code that captures and recalls project context across sessions, eliminating the need to re-explain architecture and decisions daily.
      73 npm
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Semantic search, Git sync, project-based, Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Semantic search, Git sync, project-based organization, and team collaboration via Model Context Protocol.
      15
      342 npm
      2
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Local MCP server giving AI coding agents (Claude Code, Cursor, VS Code/JetBrains Copilot) a shared, persistent memory of your projects and every bug/issue faced during development. Stateless, plain-file storage (AGENTS.md + issues.jsonl) — no database.
      16
      91 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Persistent project memory and task management for AI coding agents through MCP. Lets Claude Code, Cursor, Codex and other MCP clients save decisions and bug fixes, search relevant context, and reuse it across sessions.
      1
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI coding agents to maintain persistent project context, including rules, decisions, environment intelligence, and Git history, using a local-first MCP server with automatic project detection and token-efficient retrieval.
      13
      MIT

    TDQS

    A3.7/5.0

    Scored across 4 tools

    Disambiguation4/5

    The four tools have mostly distinct purposes: read summary, save memory, save reusable skill, and search. The only possible confusion is between remember and remember_skill, but the descriptions clearly separate decaying memories from permanent procedures.

    Naming Consistency3/5

    All names are lowercase with underscores, but the conventions are mixed: context is a noun, recall and remember are bare verbs, and remember_skill is verb_noun. The set is readable but lacks a predictable naming pattern.

    Tool Count5/5

    Four tools is a well-scoped surface for a memory context server: one for summary, one for search, and two for persistence. Each tool earns its place without bloat.

    Completeness3/5

    The surface covers creating memories/skills, reading a summary, and searching, but lacks update, delete/forget, and targeted retrieval by ID. Agents cannot manage or correct stored memories beyond adding new ones.

    Maintenance

    ActivityActive
    ResponsivenessNo recent community issues