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ChatCrystal
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ChatCrystal

Active·★ 22·Apache-2.0·Updated 2026-05-29
★ Trending★ Memory & Context★ Dev Tooling

Crystallize knowledge from AI conversations. Import from Claude Code / Cursor / Codex CLI, summarize with LLM, search by semantics.

ChatCrystal collects conversations from AI coding tools, distills them into structured notes with LLMs, and builds a local searchable knowledge base from your real problem-solving history. It supports multiple sources like Claude Code, Cursor, Codex CLI, Trae, and GitHub Copilot, and offers desktop app, CLI, and Docker deployment options.

#agent-skills#ai-memory#ai-tools#claude-code#codex#cursor#electron#knowledge-graph
$ Install
$ npm install -g chatcrystal
↗ Visit site★ GitHub
01

Features

01Import AI coding conversations from local tool data directories.
02Distill conversations into structured notes with titles, summaries, conclusions, snippets, and tags.
03Search knowledge semantically with embeddings and relation-aware result expansion.
04Build a knowledge graph across related notes and decisions.
05Expose CLI and MCP tools so agents can recall and write back reusable experience.
02

Compatibility

Windows
Windows Desktop
Verified via docs
macOS
macOS CLI
Verified via docs
Linux
Linux CLI
Verified via docs
03

Quick start

1
$ npm install -g chatcrystal
04

Use cases

↳Personal knowledge management for developers to revisit AI-assisted problem-solving experiences.
↳Team knowledge sharing by importing conversations from multiple tools and building a shared knowledge base.
↳Enhancing AI agents with memory of past solutions via CLI and MCP integrations.
05

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Related searches

ChatCrystal AlternativesBest Memory & Context Tools 2026Open Source Memory & ContextChatCrystal TutorialChatCrystal Vs Competitorsagent-skillsai-memoryai-tools

Comments

Log in to leave a comment
  • C
    Corey AndersonMar 25, 2026

    Import from Claude Code, Cursor, and others — multi-source knowledge consolidation.

  • E
    Elliot ThompsonMar 17, 2026

    Crystallizing knowledge from AI conversations into persistent memory is a smart workflow.

  • A
    Avery NguyenMar 15, 2026

    Query interface makes the crystallized knowledge retrievable, not just stored.

  • S
    Sasha JacksonMar 6, 2026

    Good for developers who want to preserve insights generated during AI coding sessions.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 22
Last commit1d ago
StatusActive
LicenseApache-2.0
CategoryMemory & Context
Trend (30d)
+0.8↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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