물리적 AI 에이전트에 대한 "Android"를 구축하고 있습니다.

Hermes, Claude Code, Codex 및 기타 AI 에이전트 눈, 귀, 목소리 및 신체를 제어 할 수 있습니다.

**AAI 에이전트를 물리적 세계에 넣으십시오. **

** 램프 시작 ** · 자신의 로봇 가져 오기 · 물리적 기술을 구축

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당신의 대리인을 선택하십시오

Hermes, Claude Code, Codex, OpenClaw, OpenCode 또는 PicoClaw를 실행하십시오. 호환 모델을 선택하고 음성, 개성 및 도구를 구성하십시오.

OS는 로봇과 좌표 하드웨어 및 에이전트 작업을 실행합니다. Model inference는 구성에 따라 원격 서비스를 사용할 수 있습니다.

몸짓

Lamp, Intern 또는 Reachy Mini로 시작하거나 자신의 로봇에 대한 지원을 추가하십시오. 물리적 AI 운영 체제는 신체가 제공하는 하드웨어에 에이전트를 연결합니다 : 카메라, 마이크, 스피커, 모터, 조명 및 센서.

물리적 기술

당신의 에이전트 새로운 방법을 느끼고 주위와 상호 작용.

• 카메라와 움직임을 가진 개체를 따르십시오.
• 제스처와 접촉하는 응답.
• 빛, 운동, 또는 연설으로 감지기 독서를 도십시오.

Physical AI Operating System

We’re building the “Android” for physical AI agents.

Give Hermes, Claude Code, Codex, and other AI agents eyes, ears, a voice, and a body they can control.

Bring your AI agents into the physical world.

Start with Lamp · Bring your own robot · Build a physical skill

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Choose your agent

Run Hermes, Claude Code, Codex, OpenClaw, OpenCode, or PicoClaw. Choose a compatible model and configure its voice, personality, and tools.

The OS runs on the robot and coordinates hardware and agent tasks. Model inference may use remote services, depending on your configuration.

Give it a body

Start with Lamp, Intern, or Reachy Mini—or add support for your own robot. Physical AI Operating System connects the agent to the hardware that body provides: cameras, microphones, speakers, motors, lights, and sensors.

Physical skills

Give your agent new ways to sense and interact with its surroundings.

• Follow an object with its camera and movement.
• Respond to touch with a gesture.
• Turn a sensor reading into light, movement, or speech.

Start with an existing physical skill, change its instructions, or connect your own tools. Use the skill creator to write a new skill, and see the contribution guide to share it.

Try saying

On a configured Lamp, try these in normal voice mode or text-only Web/MQTT chat. These are supported intent examples; selection depends on confidence and available device capabilities. Uncertain requests go to the main agent.

Context matters too: while working on an image or render, “Make it brighter” goes to the main agent to interpret the task context. It does not automatically brighten the Lamp. Explicit hardware requests such as “Turn off the lights” remain eligible for intent handling while a Harness task is pending.

Intent configuration and limits · Harness context routing

Work across your robot and computer