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RSIAgent

model1 events
papersTODAY 04:00 UTC

RSIAgent: Training-Free Multi-Agent Framework for Recursive Self-Improvement

A new arXiv preprint introduces RSIAgent, a multi-agent system that lets digital agents explore unfamiliar environments and iteratively improve themselves without any additional training. The approach is designed for settings where interfaces, tools, and failure patterns differ from what pretrained models have seen. The work appears under arXiv:2609.15364v1 in both cs.AI and cs.CL.

agents/self-improvement/multi-agent/arxiv