rllm
Democratizing Reinforcement Learning for LLMs
About rllm
rLLM is an open-source framework for training language agents with reinforcement learning. Bring any harness, run it in any sandbox, and switch training backends with one flag — the same agent code drives both eval and training.
rLLM requires Python >= 3.11. You can install it either directly via pip or build from source.
This installs dependencies for running rllm CLI with the tinker backend (single-machine, Tinker API). For other backends:
rllm is an open-source project written primarily in Python, with 5.8k stars on GitHub. It was last updated in August 2026.
uv pip install "rllm @ git+https://github.com/rllm-org/rllm.git"rllm vs. the alternatives
All 30 alternatives →| Record | Stars | Pricing | ||
|---|---|---|---|---|
| rllmthis listing | 5.8k | Python | Apache-2.0 | Open source |
| langchain | 144k | Python | MIT | Open source |
| ruflo | 68k | TypeScript | MIT | Open source |
| autogen | 60k | Python | CC-BY-4.0 | Open source |
| crewAI | 57k | Python | MIT | Open source |
| pydantic-ai | 19k | Python | MIT | Open source |
