A flexible, efficient, and production-ready post-training reinforcement learning framework for LLMs

OtherDeep LearningMultimodal

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Flexible and scalable reinforcement learning training infrastructure for embodied and agentic AI post-training, decoupling logical workflow composition from efficient physical execution via the M2Flow paradigm.

MultimodalAI AgentsReinforcement Learning

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An open-source framework for building, evaluating, and training general multi-agent systems. Features natural language agent creation, distributed reinforcement learning training pipeline, and complex environment interactions. Ranks top on authoritative benchmarks including GAIA, OSWorld, and VisualWebArena.

OtherMultimodalLarge Language Models

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AI-Compass is a comprehensive open-source project that provides learning paths and practical guidelines for AI technologies, helping users from beginners to professionals build a complete AI knowledge system from fundamental theory to cutting-edge applications.

Docs, Tutorials & ResourcesPythonNext.js

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A curated list of research on Embodied AI or robots with Large Language Models that tracks the latest developments in this field.

Docs, Tutorials & ResourcesPythonPyTorch

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Open-source infrastructure for Computer-Use Agents providing sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops across macOS, Linux, and Windows.

Agent & ToolingDockerPython

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