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title: Autonomous OS
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short_description: Open-source OS for physical AI agents
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<p style="font-size: 22px; font-weight: 400; text-align: center;">Open-source operating system for physical AI agents.</p>
<p>Autonomous OS turns edge hardware into a complete AI agent β€” one that sees, hears, speaks, moves, senses, remembers, and updates itself over the air. The OS handles <b>everything below the brain</b>: hardware drivers, WiFi provisioning, a web dashboard, OTA updates, MQTT bridge, multi-channel messaging (Telegram, Slack, Discord, WhatsApp), and a 2-second sensing loop that runs vision, motion, sound, and light detection in parallel.</p>
<p>The brain is a swappable <b>agentic runtime</b> β€” five built-in options (OpenClaw, Hermes, PicoClaw, Codex, Claude Code) covering Claude, GPT, Gemini, and Qwen backends. Each runtime reads plain-text <code>SKILL.md</code> files and calls device APIs directly β€” no MCP wrapper needed. Realtime voice runs natively via Gemini Live, OpenAI Realtime, or Qwen Omni for sub-second speech-to-speech; complex requests delegate back to the main agent.</p>
<p>Hardware is a plugin: missing peripherals are skipped at init, so the same OS image runs a 5-DOF desk lamp and a quadruped robot alike. Skills address <b>capabilities</b>, not hardware β€” a "come here" skill works on any device that can move.</p>
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<img src="https://cdn.autonomous.ai/production/ecm/260701/thinking2.webp" alt="Autonomous Lamp" style="max-width: 100%; max-height: 100%;">
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<p><b>Autonomous Lamp</b> β€” 5-DOF expressive desk robot. Audio, vision, motion, light, display, and sensing. The first reference device.</p>
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<p><b>Autonomous Intern</b> β€” always-on desk agent. Audio, sensing, and light. Pure voice + ambient intelligence.</p>
<p><b>Unitree Go2-W</b> β€” a different manufacturer's mobile robot running the identical OS. The Android playbook: same skills, different hardware.</p>
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<p><b>25 built-in skills</b> β€” guard, mood, habit, wellbeing, music, camera, LED, servo, display, emotion, sensing, face enrollment, voice, computer-use, connectors, and more. Each skill is a plain-text <code>SKILL.md</code> the runtime reads and executes via HTTP.</p>
<p><b>Realtime voice (S2S)</b> β€” native speech-to-speech via Gemini Live, OpenAI Realtime, or Qwen Omni. Sub-second casual chat on the realtime model; complex tasks auto-delegate to the main agent. Local VAD + intent matching bypass the LLM entirely for known commands (~50 ms).</p>
<p><b>5 agent runtimes</b> β€” OpenClaw (Claude, full-featured), Hermes (Claude, 50% less memory), PicoClaw (Haiku, runs on Pi Zero), Codex (GPT-4), Claude Code (CLI-native). Swap via one config field.</p>
<p><b>Full system, not just a runtime</b> β€” WiFi setup wizard, React web dashboard, OTA bootstrap worker, MQTT bridge, multi-channel messaging, JSONL session memory with auto-summarization, and a 2-second sensing loop (motion, face, light, sound) that routes events to the agent.</p>
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<a href="https://github.com/autonomous-ai/autonomous-os">GitHub</a> Β· <a href="https://www.autonomous.ai">Website</a>
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