Komi-learn – continuous memory and self-improvement for coding agents

Komi-learn is a framework that equips coding agents with a persistent, continuously updating memory, enabling them to learn from past coding sessions and improve their performance on future tasks without retraining. It is designed for developers and researchers building autonomous coding assistants, offering a solution to the common problem of agents repeating mistakes or forgetting context. This is interesting because it moves beyond stateless AI interactions toward agents that can accumulate and apply long-term experience, making them more efficient and reliable for complex software development.