Ce qui s'est passé: OpenForgeRL: Train Harness-native Agents in Any Environment

OpenForgeRL is an open-source framework enabling end-to-end reinforcement learning training of AI agents within complex inference harnesses like Claude Code and Codex.

Pourquoi ça compte: OpenForgeRL: Train Harness-native Agents in Any Environment

Matters for engineers building or training agentic systems who need to train agents directly in production harnesses without rewriting infrastructure.

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OpenForgeRL: Train Harness-native Agents in Any Environment

arXiv cs.AI · Publié le 23 juillet 2026 · 3 min de lecture

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Ce qui s'est passé: OpenForgeRL is an open-source framework enabling end-to-end reinforcement learning training of AI agents within complex inference harnesses like Claude Code and Codex.
Pourquoi ça compte: Matters for engineers building or training agentic systems who need to train agents directly in production harnesses without rewriting infrastructure.
Vigilance: Framework is new research; error recovery remains weak, and practical deployment complexity with Kubernetes orchestration and proxy infrastructure is not fully detailed.

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agent
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