2026-08-18
We are happy to announce Lego-RL: an open-source framework for harness-native reinforcement learning of coding agents. All code, data, and models are available on GitHub and Hugging Face.
An open-source collection advancing frontier agentic intelligence
LegoX is a series of open-source projects spanning agentic data pipelines, training frameworks, evaluation benchmarks and foundation models. Our mission is to connect these pieces into reproducible and extensible systems that advance frontier intelligence.
2026-08-18
We are happy to announce Lego-RL: an open-source framework for harness-native reinforcement learning of coding agents. All code, data, and models are available on GitHub and Hugging Face.
2026-08-01
Congratulations! SWE-Lego models and datasets have surpassed 200K cumulative downloads on Hugging Face.

An agentic code-review system that diagnoses repository-level problems and closes the generate–review–revise loop.
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A study of interaction trajectories and environment-grounded supervision for building more capable terminal agents.
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A supervised fine-tuning recipe and model family for resolving real software issues with carefully validated trajectories.
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