ChatCrystal
Converts scattered AI-assisted coding sessions into searchable, reusable knowledge artifacts.
Crystallize knowledge from AI conversations. Import from Claude Code / Cursor / Codex CLI, summarize with LLM, search by semantics.
- Search past Claude conversations for similar bug fixes by semantic meaning
- Extract and summarize architecture decisions from coding session transcripts
- Build internal knowledge base from AI pair-programming sessions
Converts scattered AI-assisted coding sessions into searchable, reusable knowledge artifacts. Reduces time spent re-explaining context or re-solving similar problems across projects.
Development teams using Claude/Cursor who need to retain and retrieve solutions from past conversations without manual documentation.
https://github.com/ZengLiangYi/ChatCrystal
By ZengLiangYi
How to Get It
claude plugins install ZengLiangYi/ChatCrystal
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me search past Claude conversations for similar bug fixes by semantic meaning
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 51 GitHub stars; 1 contributors; last commit 28d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- Single maintainer. Consider the risk if this person stops maintaining the project.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 51 GitHub stars; 1 contributors; last commit 28d ago; license Apache-2.0.