X @Avi Chawla

RT Avi Chawla (@_avichawla)OpenClaw meets RL!OpenClaw Agents adapt through memory files and skills, but the base model weights never actually change.OpenClaw-RL solves this!It wraps a self-hosted model as an OpenAI-compatible API, intercepts live conversations from OpenClaw, and trains the policy in the background using RL.The architecture is fully async. This means serving, reward scoring, and training all run in parallel.Once done, weights get hot-swapped after every batch while the agent keeps responding ...