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Related Servers

Alternatives to ChatCrystal

Related Servers

  • A
    license
    A
    quality
    B
    maintenance
    Local memory of your coding-agent sessions. Imports Claude Code, Codex, opencode and Copilot transcripts, extracts decisions and learnings with a link back to the session turn, and lets agents search them over MCP.
    9
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  • F
    license
    Not graded
    quality
    D
    maintenance
    Persistent memory server for AI assistants with semantic search and three-layer context (global, project, personality). Works with MCP-compatible AI tools like Claude Code, Cursor, Continue, Cline, and more.
    1
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  • A
    license
    Not graded
    quality
    A
    maintenance
    A local markdown memory and cross-agent context engine for AI coding assistants. It provides an MCP server with tools to search, add, retrieve, and distill persistent memory across tools like Claude Code, Cursor, and Zed.
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  • A
    license
    A
    quality
    C
    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.
    11
    415 npm
    2
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  • A
    license
    A
    quality
    A
    maintenance
    Persistent memory MCP server for AI coding agents (Claude Code, Codex, Gemini CLI). Hybrid retrieval (vector + BM25), cross-encoder reranking, knowledge graph, session checkpoint/resume, and multi-scope isolation. Local-first with LanceDB.
    30
    50 npm
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  • A
    license
    A
    quality
    A
    maintenance
    Semantic codebase search + persistent working memory for AI code editors. Local, zero-config, MCP. No API key.
    23
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TDQS

A3.9/5.0

Scored across 7 tools

Disambiguation5/5

Each tool serves a clearly distinct purpose: getting full notes, listing summaries, semantic search, task-specific recall, relation retrieval, validation, and writing. No overlapping functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using lowercase and underscores, e.g., get_note, list_notes, write_task_memory, ensuring predictability.

Tool Count5/5

With 7 tools, the set is well-scoped for a knowledge base server, covering creation, retrieval, search, and validation without being overwhelming or sparse.

Completeness3/5

The tool surface covers core operations but lacks update and delete capabilities for notes, which may create dead ends if an agent needs to modify or remove a memory.

Maintenance

ActivityMaintained
ResponsivenessResponsive