RAGEN
Reinforcement learning framework for multi-turn LLM agents.
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Use cases
About RAGEN
RAGEN is listed in our frameworks category and is aimed at builders. Reinforcement learning framework for multi-turn LLM agents. Pricing, as the maker states it: Open source. Maturity: Active. We last checked the official link on 2026-10-16.
What is RAGEN?
RAGEN (Reasoning AGENT) is a flexible framework for training reasoning LLM agents with multi-turn reinforcement learning, built on the StarPO algorithm.
Its team also develops diagnostics to understand how agent RL training works and to fix hidden failure modes such as the "Echo Trap."
Sources: the official README and our directory listing, checked 2026-10-18. Official site: ragen-ai.github.io.
Who is RAGEN for?
Researchers training multi-turn LLM agents with RL.
RAGEN at a glance
- Open source: Yes (MIT License)
- GitHub: mll-lab-nu/RAGEN · 2,825 stars (as of Oct 21, 2026)
Key features
- Multi-turn agent RL
- StarPO algorithm
- Diagnostics for RL failure modes
RAGEN FAQ
What is RAGEN?
RAGEN (Reasoning AGENT) is a flexible framework for training reasoning LLM agents with multi-turn reinforcement learning, built on the StarPO algorithm.
Who is RAGEN for?
Researchers training multi-turn LLM agents with RL.
Is RAGEN free?
RAGEN's pricing, as the maker states it: Open source. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Is RAGEN open source?
Yes. RAGEN is released under the MIT License, according to its GitHub repository.
What are alternatives to RAGEN?
Similar tools include Haystack, PocketFlow, OpenPipe, AReaL, Agent Squad and MetaGPT.
RAGEN ratings and reviews
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RAGEN alternatives
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Haystack
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PocketFlow
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OpenPipe
Reinforcement learning tooling, including the ART library, to train better agents.
AReaL
Reinforcement learning system for training LLM-based agents.
Agent Squad
Framework for routing conversations across multiple specialized AI agents.
MetaGPT
Multi-agent framework that assigns roles like product manager and engineer to LLM agents to build software.
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