rllm

rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.

rllm is currently grouped under Vision / Multimodal, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Open-source framework for reinforcement learning-based post-training of language agents. and Training powerful coding models for tasks like code generation and bug fixing.. The listed license is Apache-2.0, which is useful when adoption constraints matter. It also shows measurable community traction with 5.7k GitHub stars.