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OpenForgeRL: Train Harness-native Agents in Any Environment

7 upvotes · 23 JUL 2026 · Xiao Yu, Baolin Peng, Ruize Xu et al.

This paper creates a new framework, OpenForgeRL, that allows researchers to train AI agents in complex environments using real harnesses, rather than relying on simplified inference systems. Practitioners might care because it enables more realistic testing and training of agents in real-world settings.

harness-based agentscontinual learningmulti-turn reasoningtool useopen infrastructurereinforcement learning