rllm-org/rllm
Democratizing Reinforcement Learning for LLMs
This tool helps AI engineers enhance their language model agents using reinforcement learning, making them more effective at tasks like complex problem-solving. You provide your existing agent code and a way to measure its success (a reward function), and it outputs a more capable, finely-tuned agent ready for deployment. This is for AI engineers and researchers working on building and optimizing sophisticated AI agents.
5,219 stars. Actively maintained with 64 commits in the last 30 days.
Use this if you are developing AI agents with existing frameworks (like LangGraph or OpenAI's SDK) and want to apply reinforcement learning to improve their performance with minimal code changes.
Not ideal if you are new to developing AI agents or do not have a clear way to define a reward signal for your agent's performance.
Stars
5,219
Forks
515
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
64
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