RLinf/RLinf
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
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RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
A unified framework for training, fine-tuning, and evaluating World Action Models
[ICML 2026] RoboTwin 2.0 Offical Code Repo
preview of PhysicalRSI infra an engine
🏔️ ALPS: Visual State Encoders for World Models
PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.
The AI agent that physically operates a phone — the way you do.
PhyAI is a high-performance framework for running Physical AI models (VLA, WAM, and beyond), supporting both cloud-based serving and on-device deployment.
Cross-Cluster Embodied Intelligence Cloud-Native Platform. Manage cross-cluster embodied AI workloads with Kubernetes-native CRDs, unified job scheduling, cross-cluster Pod networking, and multi-runtime support.
An Open-World Foundation Model for General-Purpose Embodied Intelligence.
BEHAVIOR-1K: a platform for accelerating Embodied AI research. Join our Discord for support: https://discord.gg/bccR5vGFEx
One CLI for all your robots. Connect them, command them, and let them work together, each with an LLM for a brain (Claude, OpenAI, Gemini, Grok, or local via Ollama or vLLM), VLAs for arms and decision LLMs (Jev, Laya, Kev). Drives Microduck, Open Duck Mini, LeRobot, XLeRobot, AlohaMini, ToddlerBot, or any ROS 2 base from a laptop, offboard.
The Agentic Operating System for Robots
EVA-Client: A Unified Framework for Deployment, Evaluation, and Data Collection on Real Robots
Open source evals for physical AI. Run any LLM/VLA on any arm/humanoid against any real/sim benchmark.
[ECCV 2026] Habitat-GS: A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting
Your real-life buddy duck: an open-source embodied AI robot duck that walks, hears, sees, and has a life of its own. 让 DuckBuddy 成为你真正的生活伙伴鸭：开源具身智能小鸭机器人，运动、语音、视觉与生命层全部跑在机器人自己身上。Feetech servos + Orange Pi Zero 3W, built on Pollen Robotics' Microduck (unofficial).
A brain that learns from live experience. System 1 by default: perception, memory, plasticity and action. Optional System 2 for self-observation and slow corrections.
An end-to-end, GPU-accelerated, and modular platform for building generalized Embodied Intelligence.
Official codebase for Spotter: Let the Embodied Model Lead, and the VLM Reflect for It
Physical AI runtime for embodied agents — governed action, verified experience, physical memory, and skill evolution.
A mind built around a local 27B model on one Mac: lasting memory, affect and drives, offline Wikipedia, voice and screen, procedures she writes and keeps, and a receipt for every consequential action. Claims are preregistered and failures stay in the record. Activation steering is built, not yet qualified for user turns.
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
That's all 23 repositories in this period.