A unified RL harness can swap in Kimi Code, Claude Code, Codex, and more
stochasticchasm · x · 2026-07-28
- The discussion highlights a unified white-box RL environment that treats an agent harness as a composable set of modules: tool interfaces, system prompts, context management, skills, memories, and subagents.
- By dynamically reconfiguring these modules, the framework can instantiate existing harnesses such as Kimi Code, Claude Code, Codex, OpenClaw, and Hermes, and also support entirely new ones.
- The core point is that training with a single fixed harness can overfit a model to one tool schema; a configurable setup exposes the model to diverse harness combinations and makes RL training more general-purpose.
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