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Uni-Agent: Train Long-Horizon Agents at Scale

Uni-Agent is a framework for training long-horizon agents.

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  • Pluggable

    Connect any existing agent harness to RL.

  • Extensible

    Customize agents, tasks, tools, and sandboxes through modular interfaces.

  • Scalable

    Run thousands of stateful sessions and turn them into training-ready data (for both SFT and RL).

  • Reproducible

    Reproduce results with runnable recipes, complete configs, curves, and benchmarks.

Uni-Agent architecture overview