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Gen-Verse·Oct 13, 2026·v1·open source

RSI-Anything

RSI-Anything is a domain-general framework designed to facilitate recursive self-improvement in AI systems by leveraging world-model predictions and interaction feedback. It connects candidate generation, prediction-guided selection, and external evaluation to improve performance across diverse fields such as code repair, GUI interaction, and scientific laboratory planning.

Recursive Self-ImprovementWorld ModelsAI AgentsMachine Learning
overview

RSI-Anything is a domain-general framework designed to facilitate recursive self-improvement in AI systems by leveraging world-model predictions and interaction feedback. It connects candidate generation, prediction-guided selection, and external evaluation to improve performance across diverse fields such as code repair, GUI interaction, and scientific laboratory planning.

key features
  • 01Recursive self-improvement cycle: Propose, Predict, Select, Evaluate, Learn, and Retain
  • 02Domain-general architecture supporting code repair, GUI interaction, and scientific planning
  • 03Built on the JEPA-Anything predictive foundation
  • 04Feedback-driven policy and world-model adaptation
  • 05Modular CLI workflow for experiment management and reporting
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