HoloAgent is a unified embodied-agent framework for general-purpose robots, integrating closed-loop execution, 3D spatial memory, and robot skills for real-world tasks.

🔥 News

• [2026.12 (expected)] HoloAgent-1 is expected by the end of the year.
• [2026.06] HoloAgent-0 is released. Code is under preparation and will be released soon.
• [2025.09] FSR-VLN is released for fast-and-slow vision-language navigation.

✅ Release Status

• HoloAgent-1 code update
  • HoloBrain for general-purpose dexterous manipulation
  • HoloMotion for whole-body mobile manipulation
  • Active exploration Agent-Loop
  • Vision-only autonomy for mapping, localization, navigation, and obstacle avoidance
• HoloAgent-0 code update
  • FSR-VLN semantic mapping acceleration with OVO-Mapping replacing HOV-SG
  • Chatbot speech interaction upgraded with Doubao LLM
  • AgentOS Harness adapted to OpenClaw
  • Secure isolation for background processes and skill triggering via dimos-inspired Skill/Blueprint mechanisms with Harness
• HoloAgent-0 project page & paper
• FSR-VLN code

🧩 Components

• Embodied AgentOS: Coordinates high-level task planning, runtime feedback, and closed-loop robot execution.
• 3D Spatial Memory: Grounds robot reasoning in physical-world spatial representations for long-horizon tasks.
• Embodied Skills: Connects agent decisions to executable robot navigation and manipulation skills.
• FSR-VLN: Provides fast-and-slow vision-language navigation with a hierarchical multi-modal scene graph.

🧠 Framework for Closed-Loop Robot Execution

AgentOS turns language instructions into monitored skill graphs and closes the loop across spatial retrieval, execution, memory updates, and recovery.

🤖 Real-Robot Demonstrations

Compressed previews from real-hardware deployments. Full-resolution videos are available on the project page.

Navigation and Dance Coordination	Long-Horizon Mobile Manipulation
Coordinate navigation and humanoid motion across robots.	Decompose long-horizon manipulation into navigation, grasping, placement, and recovery.

Active Exploration in a New Environment	Interactive Humanoid Command Execution
Explore new spaces and update 3D memory online.	Follow open-ended commands with navigation and embodied actions.

A Day with a Robot Companion	A Day in the Life of a Robot Guide
Combine language, 3D reasoning, navigation, interaction, and action.	Guide users through workspaces with spatial-memory-aware routes.

🤖 FSR-VLN

FSR-VLN is the HoloAgent navigation component, combining a Hierarchical Multi-modal Scene Graph with Fast-to-Slow Navigation Reasoning for efficient long-range spatial reasoning.

🏗 Getting Started

For system introduction, repository layout, dependency preparation, layered build instructions, runtime configuration, and deployment notes, refer to:

• docs/user_guide/Intruduction.md

This guide is the recommended starting point for setting up the current agentic robot system repository.

📚 Publications & Citation

If you find our project useful, please consider citing it:

@misc{holoagent2026holoagent0,
      title={HoloAgent-0: A Unified Embodied Agent Framework with 3D Spatial Memory},
      year={2026},
      eprint={2606.23565},
      archivePrefix={arXiv},
      primaryClass={cs.RO},
      url={https://arxiv.org/abs/2606.23565},
}

@misc{zhou2025fsrvlnfastslowreasoning,
      title={FSR-VLN: Fast and Slow Reasoning for Vision-Language Navigation with Hierarchical Multi-modal Scene Graph}, 
      author={Xiaolin Zhou and Tingyang Xiao and Liu Liu and Yucheng Wang and Maiyue Chen and Xinrui Meng and Xinjie Wang and Wei Feng and Wei Sui and Zhizhong Su},
      year={2025},
      eprint={2509.13733},
      archivePrefix={arXiv},
      primaryClass={cs.RO},
      url={https://arxiv.org/abs/2509.13733}, 
}

🙏 Acknowledgements

This project is built upon and inspired by several outstanding open source projects: OVO、HOV-SG、rerun、dimos、openclaw.

---

⚖️ License

This project is licensed under the Apache License 2.0. See the LICENSE file for details.