Komi-learn: Open-Source Continuous Memory and Self-Improvement Framework for Coding Agents Launches

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Komi-learn, a new open-source project from Kurikomi Labs (25 HN points), provides coding agents with persistent memory and self-improvement capabilities across sessions, enabling agents to learn from past interactions and refine their approaches over time. The framework addresses the fundamental limitation of stateless LLM interactions where agents start fresh each session. For builders deploying coding agents, this represents the emerging pattern of agents that accumulate institutional knowledge rather than relying solely on context windows.