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VAGEN
Python

VAGEN

World model reasoning RL for multi-turn VLM agents

by mll-lab-nu · GitHub
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agentembodied-aimulti-turn-reinforcement-learningMITPython
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Train AI agents to understand and reason about their environment using visual information over multiple interactions.

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📈 Star history
487486
2026-07-202026-08-31
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📄 About

World model reasoning RL for multi-turn VLM agents

VAGEN has 486 stars on GitHub. It has been forked 60 times. VAGEN is written mainly in Python. It has been in active development since 2025. VAGEN is available under the MIT license. Its main topics are agent, embodied-ai, multi-turn-reinforcement-learning, reinforcement-learning.

❓ Frequently asked questions

What is VAGEN?

World model reasoning RL for multi-turn VLM agents

Is VAGEN open source?

VAGEN is an open-source project. It is released under the MIT license.

Is VAGEN free?

Yes. VAGEN is free and open source — you can use, modify and self-host it.

What license does VAGEN use?

VAGEN is available under the MIT license.

What language is VAGEN written in?

VAGEN is written mainly in Python.

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