# rllm

> Democratizing Reinforcement Learning for LLMs

## Facts
- **Category:** [Agent Frameworks](https://agentsearchengine.app/category/agent-frameworks)
- **Type:** Framework
- **Pricing:** Open source
- **GitHub stars:** 5,755
- **Language:** Python
- **License:** Apache-2.0
- **Last repo activity:** 3 days ago (Jul 31, 2026)
- **Official site:** https://docs.rllm-project.com
- **Source code:** https://github.com/rllm-org/rllm
- **Listing on Agent Search Engine:** https://agentsearchengine.app/agents/rllm
- **Data verified:** July 2026

## 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:

_From the project's README._

## Install

```
uv pip install "rllm @ git+https://github.com/rllm-org/rllm.git"
```

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Source: [Agent Search Engine](https://agentsearchengine.app) — an independent, hand-curated index of AI agents, MCP servers, and frameworks. Rankings are never sold; sponsored placements are labeled and never numbered. Full directory: https://agentsearchengine.app/llms-full.txt