Optimize AI Output with Hybrid Adaptive Memory System

Optimize AI Output with Hybrid Adaptive Memory System

The Hybrid Adaptive Memory System v5.2.2 is a standalone command-line interface (CLI) skill designed to improve the quality of AI-generated outputs by utilizing a dual-memory model. Without requiring any external services, it leverages local embeddings and a secondary FTS4 system via reciprocal rank fusion (RRF) to manage domain-specific strategies and error detection patterns.

What this skill does

• Operates a hybrid adaptive system with two complementary memory types: Cheatsheet for positive domain-specific strategies and Immune for detecting and managing known errors and potential threats.
• Utilizes Hot/Cold tiering to maintain a lean context while operating.
• Processes user input content by parsing required and optional parameters such as domain, domains array, and constraints.
• Supports different operational modes: `full` (default), `scan-only`, and `cheatsheet-only`.
• Executes all data access through an adapter CLI tool located at `node ~/.claude/skills/immune/immune-adapter.js`.
• Integrates seamlessly with Chimera for enhanced functionality.

Who it is for

This skill is suited for developers and technical teams utilizing AI coding agents like Claude Code, Cursor, and Codex. It aids these professionals in improving AI output quality and maintaining error-free content generation in various domains.

Use cases

• Enhancing AI-generated content in specific domains such as fitness, code, writing, research, strategy, and web design.
• Reducing error rates in automatically generated codes and content by using a comprehensive error-detection system.
• Streamlining the integration of domain-specific strategies directly into the generative process for more accurate and relevant outputs.

Technical details

• Version: 5.2.2 utilizing local embeddings and FTS4 systems.
• Standalone CLI tool; does not require any external services.
• Combines Cheatsheet and Immune systems for proactive and reactive memory operations.
• Efficiently manages inputs through the node-based adapter CLI.
• Compatible with Chimera for enhanced memory system integration.

For authorised security testing, defensive research and educational use only.

Source & Licence

This package is built on open-source work published by Mnemoclaw (Mnemoclaw/immune) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.