ChatCrystal

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/zengliangyi-chatcrystal

About

Use cases: agent-memory, knowledge-base

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.

Tools

6 read · 1 write · 0 delete

Secrets

1 (API keys, tokens or passwords)

Install scripts

None found

Runs as

Node.js package

Tools (7)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• get_note

  Get the full content of a note including title, summary, key conclusions, code snippets, and tags.

• get_relations

  Get related notes for a given note, including relationship type and confidence score.

• list_notes

  List note summaries for browsing and narrowing the ChatCrystal knowledge base. Use this when you need paginated notes filtered by tag or title/summary keyword. Use search_knowledge instead for semantic relevance ranking, and get_note when you already have an id and need the full note body. Returns note metadata and summaries, not full note content.

• recall_for_task

  Retrieve reusable task memories before starting substantive coding work. Use this at the beginning of implementation, debugging, migration, configuration, investigation, refactor, or optimization tasks to load project-scoped memories first and optional global lessons second. Use mode="debug" when the user reports an error, failing command, regression, or incident; include error_signatures and related_files when available. Use search_knowledge instead for ad hoc semantic note search that is not tied to the current task. This tool is read-only and returns ranked memories plus optional related-no…

• search_knowledge

  Semantic search across your AI conversation knowledge base. Returns matching notes ranked by relevance.

• validate_task_memory

  Dry-run validation for a candidate task memory before calling write_task_memory. Use this after meaningful work and before persisting a lesson to check whether the candidate is durable, specific, reusable, and shaped like a high-quality ChatCrystal note. It has no side effects and never writes to the knowledge base. Returns acceptance, rejection reason, warnings, and materialized note fields so agents can revise the candidate or skip weak work logs.

• write_task_memory

  Persist a task memory only when it can become a high-quality ChatCrystal note: specific title, concrete summary, meaningful key conclusions, and a durable reusable lesson such as a pitfall, fix, decision, pattern, or symptom-to-resolution mapping. Do not write one-time environment checks, version/status reports, ordinary progress logs, or vague robustness claims. Weak auto writebacks are skipped by core validation and recorded only as receipts.

Signals

Stars

61

Forks

5

Open issues

0

Contributors

2

Last commit (this folder)

Oct 23, 2026 (8 days ago)

Last release

Oct 23, 2026 (8 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name

io.github.ZengLiangYi/chatcrystal

Version

0.6.2

Auth

API key

Packages

npm chatcrystal

License

Apache-2.0

Repository

github.com/ZengLiangYi/ChatCrystal

Website

zengliangyi.github.io/ChatCrystal/

First seen

Oct 24, 2026

Last checked

Oct 24, 2026

Source

Official MCP Registrygithub-graphql