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RAGEN

Fine-Tuning 5.1/10 Solid

RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.

RAGEN scores 5.1/10 (Solid) in Fine-Tuning.

Language Python License MIT Stars 2.7k★ Type library Self-host Yes Repo RAGEN-AI/RAGEN Homepage https://ragen-ai.github.io

Quality

Solid 5.1
Adoption 36
Activity 39
Maturity 84
Community 35
Capability 50
Show the math
Overall 5.1/10
value = 5.1/10
score = value
Adoption 4.2/10
value = 35.9/100
score = 1 + 9 * value / 100
Activity 4.5/10
value = 39.1/100
score = 1 + 9 * value / 100
Maturity 8.5/10
value = 83.7/100
score = 1 + 9 * value / 100
Community 4.1/10
value = 34.9/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100

Key metrics

2.7k★ GitHub stars
10/90d Recent commits
2 devs/90d Recent contributors
1.4y Project age
3mo ago Last commit

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Labels

  • Self-hosted

    Self-hosted

    You deploy and operate it yourself; there is no hosted option here.

agent-rl reasoning multi-turn environments research