Skip to main content
Glama
ZengLiangYi

ChatCrystal

by ZengLiangYi
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Related Servers

Alternatives to ChatCrystal

Related Servers

  • MCP Memory

    TWFBusiness
    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
    -

  • agents-memory

    Lolaplex
    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.
    38 PyPI
    5
    MIT

  • contextforge-mcp

    alfredoizdev
    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
    258 npm
    2
    MIT

  • RecallNest

    AliceLJY
    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
    55 npm
    15
    MIT

  • Vectr

    swapnanil
    A
    license
    A
    quality
    A
    maintenance
    Semantic codebase search + persistent working memory for AI code editors. Local, zero-config, MCP. No API key.
    23
    73 PyPI
    2
    MIT
Deploy Server
Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

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

Resources