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OpenForgeRL: Train Harness-native Agents in Any Environment
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
OpenForgeRL is an open-source framework designed to train AI agents that use complex, multi-turn inference harnesses like Claude Code or Codex.
Open sourceOneBench interpretation
Institutional assessment
So what
This framework addresses the current difficulty of fine-tuning sophisticated agentic workflows, which is critical for G-SIBs aiming for enterprise-grade autonomous agents.
Do what
Your agent development teams should evaluate OpenForgeRL as a potential tool to streamline the training and iteration of complex multi-turn AI agents, reducing development cycles.