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PhanthyMotus

Give Embodied AI a Real Soul

PhanthyMotus is a next-generation, open-source framework and platform for Embodied AI Agents. Built upon a robust ROS2 foundation, it seamlessly bridges diverse sensor inputs with advanced robot execution. By enabling flexible integration of World Models, LLMs, and VLMs, PhanthyMotus transforms traditional hardware into soulful, intelligent assistants capable of perceiving, thinking, and acting independently in the real world.

phanthy-motus
$
Version
$curl -fsSL https://motus.phanthy.com/status.sh | sudo bash查看状态 / 重置 token
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Why PhanthyMotus

From Remote Controller to Intelligent Decisions, Full-Stack Embodied AI

Drop the remote control. PhanthyMotus enables robots to understand their environment, plan actions, and execute tasks autonomously — truly becoming intelligent assistants in everyday life.

🌐

Open Source · Autonomy-Driven

  • Production-Ready ROS2 Core

    Native compatibility with mainstream robotic hardware ecosystems

  • Modular & Extensible Architecture

    Plug in custom perception and decision-making models effortlessly

  • User-Centric Autonomy

    Robots autonomously complete real-world tasks

🧠

Core Framework Capabilities

  • Pluggable Multi-Model Framework

    Flexible integration of World Models, LLMs, and VLMs

  • Full-Stack Agent Architecture

    Long-term memory, dynamic skill library, continuous Agent Loop

  • Unified Sensor & Actuator Interface

    Multi-sensor fusion and precise motor control

🚀

Three Dimensions of Scalability

  • Hardware Scalability

    Humanoids, quadrupeds, robotic arms, wheeled platforms, drones

  • Skill Scalability

    Continuously train, import, and stack new skills

  • AI Model Scalability

    Seamlessly upgrade to the latest perception and decision models

Architecture

PhanthyMotus Architecture

Platform Preview

Visual Orchestration, All-in-One Management

Canvas Visual Orchestration

Canvas Visual Orchestration

Add sensors and actuators onto the canvas, connect them to the Agent Loop — the framework handles data flow and execution automatically, like building blocks

Real-Time Data Monitoring

Real-Time Data Monitoring

Audio waveforms, battery status, 3D skeleton and point cloud visualization

Agent Definition

Agent Definition

Identity setup, system prompt, and long-term memory editing online

One-Click Deployment

One-Click Deployment

Deploy and manage Agent Core and hardware driver containers

GitHub Open Source Repository →

All Resources · 9 available

Drivers & Images

Production-grade images, reviewed and ARM64 ready.

Driver· x-humanoidtianyi2.0

Tianyi 2.0 Pro Bundle

:15707

天轶2.0 Pro — 35DOF 人形机器人 (轮式底盘 + 双臂 + 灵巧手 + 头部 + 导航)

+20

Published Jul 31, 2026

Core

Agent Core

+314

Published Jul 31, 2026

Driver· unitreeg1

Unitree G1 Bundle

:15701

Unitree G1 — 麦克风 + 内置TTS + LED + 运动控制 + 手臂动作 + 状态感知

+165

Published Jul 31, 2026

Driver· unitreer1

Unitree R1 Bundle

:15702

Unitree R1-EDU — 麦克风 + TTS + LED + 运动控制 + 双目摄像头 + 状态感知

+30

Published Jul 31, 2026

Perception

Perception Stack

+123

Published Jul 31, 2026

Driver· djimavic3e

DJI Mavic 3E/3T Bundle

:15702

DJI Mavic 3E/3T — 飞行控制 + 相机(广角/变焦/红外) + 云台 + 航点任务 + 遥测 + 感知 + 红外测温

+76

Published Jul 30, 2026

Driver· unitreego2

Unitree Go2 Bundle

:15703

Unitree Go2 — 运动控制 + 避障 + 语音 + 视频 + 导航

+45

Published Jul 28, 2026

Driver· unitreego1

Unitree Go1 Bundle (state + control)

:15715

Unitree Go1 (EDU) 状态+控制驱动（原始 unitree_legged_sdk）。卡片实现聚合在 sensors.py、controllers.py、ext_devices.py 与 camera.py 四个文件中；camera.py 向 AgentCore 独立注册 camera_rgb、camera_depth、camera_pointcloud 三张五机位视觉卡，分别输出 RGB、彩色深度、XYZ 点云（点云保留 JPEG 俯视预览）。三种流在同一物理机位互斥。其余卡提供 Go1 状态、运动控制、外设和 URDF 资源；beep/speaker 与视觉 Nano 后端由容器首启自动部署。

Published Jul 23, 2026

Driver· djimavic4e

DJI Mavic 4E/4T Bundle

:15703

DJI Mavic 4E/4T — 飞行控制 + 相机 + 云台 + 航点任务 + 遥测 + 感知

Published Jul 15, 2026