Gen-Verse/OpenClaw-RL

Summary

OpenClaw-RL is an open-source framework that enables anyone to train a custom Claude Skill agent simply by describing it in natural language. It combines reinforcement learning (RLHF/GRPO), on-policy distillation, and memory systems to turn conversational specifications into deployable, personalized AI skills.

Key features

• Train any agent by talking — no coding required
• Combines RLHF, GRPO, and on-policy distillation for efficient skill learning
• Built-in memory systems for long-term context retention
• Async and SGLang support for scalable inference
• GUI application for easy interaction and monitoring
• Open-source, community-driven with 5K+ stars

Use cases

• Personalized coding assistants tailored to your workflow
• Custom game-playing agents trained via natural language
• Long-memory chatbots for customer support or tutoring
• Rapid prototyping of RL-based AI skills without ML expertise
• Research in skill learning, distillation, and RLHF

Topics