Agentic Muscle Memory is a self-evolving framework enabling agents to transform repeating patterns of work into permanent, high-quality skills. By mimicking the human process of building muscle memory through repetition, the framework ensures that once a complex task is solved twice, it becomes a reusable, audited, and standardized capability.

A high-performance Autonomous Agentic Framework using Groq LPU (120B Model) & ChromaDB for persistent 'Muscle Memory'. Self-coding, self-testing, and self-documenting.