contactjccoaching-wq/immune

Hybrid adaptive memory system for Claude Code — Cheatsheet (positive patterns) + Immune (negative patterns)

25
/ 100
Experimental

This system helps improve the reliability and quality of AI-generated content by acting like a self-improving memory. It takes your raw AI outputs and learns from both successful patterns and common mistakes. What comes out is refined AI content, with fewer errors and more consistent adherence to best practices, ideal for anyone who regularly uses AI to generate text, code, or other content.

Use this if you frequently work with AI agents and want to systematically reduce errors and encourage specific best practices in their outputs over time.

Not ideal if you rarely use AI agents or if you only need a simple, one-off correction for AI-generated text.

AI-content-generation prompt-engineering quality-assurance content-refinement AI-assisted-workflows
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 11 / 25
Community 0 / 25

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Stars

8

Forks

Language

JavaScript

License

MIT

Last pushed

Mar 09, 2026

Commits (30d)

0

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