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ZengLiangYi/ChatCrystal

by Various

Local-first AI PKM for coding conversations: import Claude Code/Cursor/Codex, distill notes, semantic search, tag graph, MCP memory.

Z

MCP

ZengLiangYi/ChatCrystal

Added 16 June 2026

#agent-skills #ai-memory #ai-tools #claude-code #codex #cursor #electron #knowledge-base

Overview

ChatCrystal is a local-first personal knowledge management tool for developers. It imports conversations from Claude Code, Cursor, and Codex, then distills notes, enables semantic search, and visualizes connections with a tag graph and MCP memory.

Best for

Best for
Developers who want to archive and search their AI coding conversations locally

Use cases

  • Import and organize coding conversations from multiple AI coding assistants
  • Search past discussions semantically to find solutions or context
  • Build a personal knowledge graph of tags and memories from chat history

How to use

Install

npm install -g chatcrystal

Tools exposed

  • crystal

Tested with

Claude Code, Cursor, Codex CLI, Trae, GitHub Copilot

Notes

ChatCrystal is a local-first personal knowledge management tool for developers. It imports conversations from Claude Code, Cursor, and Codex, then distills notes, enables semantic search, and visualizes connections with a tag graph and MCP memory.

32 stars on GitHub. Last updated 2026-06-15. Licensed Apache-2.0.

Use cases

  • Import and organize coding conversations from multiple AI coding assistants
  • Search past discussions semantically to find solutions or context
  • Build a personal knowledge graph of tags and memories from chat history

Pros

  • Runs locally, keeping your data private and offline accessible
  • Supports multiple popular coding assistant platforms
  • Semantic search and tag graph help retrieve relevant information quickly

Cons

  • Small community with only 32 GitHub stars, limited support
  • Requires manual import of conversations from each tool
  • May lack polish or features of more mature PKM tools

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Runs locally, keeping your data private and offline accessible
  • Supports multiple popular coding assistant platforms
  • Semantic search and tag graph help retrieve relevant information quickly

Cons

  • Small community with only 32 GitHub stars, limited support
  • Requires manual import of conversations from each tool
  • May lack polish or features of more mature PKM tools
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