Big release - Open Source Recursive Self Improvement from @hexoai
Rohan Paul Twitter · Rohan Paul (@rohanpaul_ai) · 2026-05-28
Hexo AI releases an open-source recursive self-improvement system where an AI agent iteratively enhances both its behavior and internal knowledge by training on feedback from its own completed tasks without human intervention.
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Extraction
Topics: recursive-self-improvementai-agentsopen-source-aiself-improving-systems
Claims
- Hexo AI has released an open-source recursive self-improvement framework for AI agents.
- The system enables an AI agent to improve both its processes and internal knowledge through feedback derived from its own task outputs.
- The approach does not require humans to hand-code improvements at each iteration.
- The agent learns by repeatedly training on its own task feedback in a closed loop.
Key quotes
Big release - Open Source Recursive Self Improvement from @hexoai. Shows AI agent can improve both how it works and what it internally knows after seeing its own task results. i.e. by repeatedly training on its own task feedback, not by relying on a human to hand-code every [improvement].