Show HN: Komi-learn – continuous memory and self-improvement for coding agents (github.com)

Komi-learn has been introduced as a groundbreaking tool designed to enhance coding agents like Claude Code and Codex by enabling continuous memory and self-improvement. This innovative system automates the recall of your coding style and effective solutions without the need for manual commands. By observing and analyzing coding sessions, it distills valuable lessons that are applied automatically in subsequent sessions. This capability allows agents to learn from past experiences, making them more adept at providing relevant assistance tailored to individual coding preferences. The significance of Komi-learn lies in its potential to revolutionize the way developers interact with AI coding assistants by eliminating the need for tedious command inputs and manual data saving. The tool features a community-supported pool where lessons can be shared, enhancing the collaborative learning experience. Furthermore, it utilizes deterministic checks to filter out irrelevant or erroneous information, ensuring that the learning process remains efficient and focused on genuine improvement. Early feedback is sought as the tool undergoes testing, and while it's still in the development phase, its architecture and ease of integration signal a promising future for adaptive AI in development environments.