Hi, I'm Cavan, co-founder of LegoX, open-source agentic intelligence
I'm Cavan Tao, co-founder of LegoX. LegoX is a series of open-source projects covering agentic data pipelines, training frameworks, evaluation benchmarks and foundation models. Our aim is to connect these pieces into reproducible, extensible systems. Recent releases include Lego-RL, a framework for harness-native reinforcement learning of coding agents, and LegoFlow, with LegoFlow-SWE offering 5,000 open-source tasks and 2,780 successful trajectories filtered from 12M PRs.
What's working: our SWE-Lego models and datasets passed 200K downloads on Hugging Face. What we're figuring out: how coding-agent RL generalizes across harnesses, namely OpenHands SDK, Claude Code and OpenCode, and whether mixed-harness training beats single-harness training or model merging.
I'd love to meet anyone who trains or evaluates coding agents and would be willing to try our releases and give me candid feedback.
