Show HN: A framework that makes your AI coding agent learn from every session (github.com)

A new framework, oh-my-claude-code, has been unveiled that enables AI coding agents to learn from every session, evolving into a personalized super-intelligence. Unlike traditional setups where agents start each session from scratch, this framework allows agents to capture valuable interactions, correct mistakes, and retain preferences automatically. It implements a closed-loop self-evolution system whereby corrections made by users are not only noted but also rewired into the agent's instruction set for future sessions. This leads to a significant reduction in user corrections over time, effectively transforming the agent from a generic assistant into one that deeply understands the user's coding style and preferences. This development is significant for the AI/ML community as it enhances the utility and efficiency of AI coding agents, marking a shift towards more intelligent, adaptive systems. Built on principles derived from the workflows of top AI engineers, the framework employs a three-layer architecture for knowledge management, ensuring that important information is captured and organized without losing context. Key features include automated checks to enforce coding rules, structured documentation for knowledge retention, and a tiered research strategy that optimizes resource usage. Overall, oh-my-claude-code aims to make AI tools more effective by turning them into knowledgeable partners that evolve alongside their users.