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Rllm

Rllm

Train your AI agents with RL

Coding Agents
8.0 /10
Open Source

Last Updated

2026-06-15

GitHub Stars

5,618

About Rllm

**Agentic RL on any harness, with any backend, on any benchmark.**

Our Verdict

A coding agent that is open-source and self-hostable backed by 5.6k GitHub stars. Train your AI agents with RL. Any framework. Minimal code changes..

Features

Any harness
Any sandbox
Multiple training backends, one API
Multiple training methods
Battle-tested
Workflow Engine

Detailed Ratings

Ease of Use
7.7
Value for Money
8.2
Features
8.0
Support
7.4
Performance
8.1
Overall Rating
8.0 /10

Pros & Cons

Pros

  • Open-source β€” fully self-hostable and auditable
  • Active community with 5.6k GitHub stars
  • Any harness
  • Any sandbox

Cons

  • Requires technical setup; less hand-holding than managed alternatives
  • Limited third-party reviews and benchmarks

Use Cases

Code generationCode reviewDebuggingRefactoring

Who Is It For?

Teams and individuals looking for software development automation who value open-source flexibility and control.

#agent-framework#agentic-workflow#coding-agent#distributed-training#llm-reasoning#rllm

Frequently Asked Questions

What is Rllm?

**Agentic RL on any harness, with any backend, on any benchmark.**

How much does Rllm cost?

Rllm is open-source and free to self-host. See https://github.com/rllm-org/rllm for installation instructions.

Is Rllm open source?

Yes β€” Rllm is open source with 5.6k stars. The source code is on GitHub at https://github.com/rllm-org/rllm.

Who should use Rllm?

Teams and individuals looking for software development automation who value open-source flexibility and control.

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