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Aiden: a physical AI agent that controls phones over USB HID
AidenAgent
• • 1Natalie Y PRO
NatalieY
AI & ML interests
AI agents, edge AI, on-device LLM, embedded systems, autonomous agents
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upvoted an article 1 day ago
Aiden: a physical AI agent that controls phones over USB HID published an article 1 day ago
Aiden: a physical AI agent that controls phones over USB HID reacted to theirpost with 👀 3 days ago
Aiden: a physical AI agent that controls phones over USB HID
Most GUI agent work assumes the agent lives inside the device or
drives it through a debugging interface. We went the other way.
Aiden is a small board that sits outside the host. It captures the
screen over HDMI-to-CSI, runs the agent loop on-device, and sends
actions back as a standard USB HID device — the host sees a keyboard
and a mouse, nothing else. No app install, no root, no ADB, no cloud.
Runtime is Go. Frame capture, full-duplex audio with VAD, the agent
loop, and HID output all run as independent goroutines. There's no
backend — nothing leaves the device, which is the only defensible
design when the input is a live feed of someone's phone screen.
Open questions we haven't solved:
· Action verification — inferring success from a re-read of the
screen breaks when loading states lie
· Prompt injection — an agent that reads screens reads whatever an
attacker puts on them
· iOS pointer control requires AssistiveTouch
Repo, including the HID gadget config and capture pipeline:
github.com/AidenAI-IO/aiden-hardware-demo
Wrote up how this differs from cloud-based computer use agents here:
https://aidenai.io/blog/mobile-ai-agent-vs-computer-use-agent-whats-the-difference/
Note: current hardware is a dev board, not a finished product.
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upvoted an article 1 day ago
published an article 1 day ago
Article
Aiden: a physical AI agent that controls phones over USB HID
AidenAgent
• • 1 reacted to their post with 👀🔥 3 days ago
Post
2373
Aiden: a physical AI agent that controls phones over USB HID
Most GUI agent work assumes the agent lives inside the device or
drives it through a debugging interface. We went the other way.
Aiden is a small board that sits outside the host. It captures the
screen over HDMI-to-CSI, runs the agent loop on-device, and sends
actions back as a standard USB HID device — the host sees a keyboard
and a mouse, nothing else. No app install, no root, no ADB, no cloud.
Runtime is Go. Frame capture, full-duplex audio with VAD, the agent
loop, and HID output all run as independent goroutines. There's no
backend — nothing leaves the device, which is the only defensible
design when the input is a live feed of someone's phone screen.
Open questions we haven't solved:
· Action verification — inferring success from a re-read of the
screen breaks when loading states lie
· Prompt injection — an agent that reads screens reads whatever an
attacker puts on them
· iOS pointer control requires AssistiveTouch
Repo, including the HID gadget config and capture pipeline:
github.com/AidenAI-IO/aiden-hardware-demo
Wrote up how this differs from cloud-based computer use agents here:
https://aidenai.io/blog/mobile-ai-agent-vs-computer-use-agent-whats-the-difference/
Note: current hardware is a dev board, not a finished product.
Most GUI agent work assumes the agent lives inside the device or
drives it through a debugging interface. We went the other way.
Aiden is a small board that sits outside the host. It captures the
screen over HDMI-to-CSI, runs the agent loop on-device, and sends
actions back as a standard USB HID device — the host sees a keyboard
and a mouse, nothing else. No app install, no root, no ADB, no cloud.
Runtime is Go. Frame capture, full-duplex audio with VAD, the agent
loop, and HID output all run as independent goroutines. There's no
backend — nothing leaves the device, which is the only defensible
design when the input is a live feed of someone's phone screen.
Open questions we haven't solved:
· Action verification — inferring success from a re-read of the
screen breaks when loading states lie
· Prompt injection — an agent that reads screens reads whatever an
attacker puts on them
· iOS pointer control requires AssistiveTouch
Repo, including the HID gadget config and capture pipeline:
github.com/AidenAI-IO/aiden-hardware-demo
Wrote up how this differs from cloud-based computer use agents here:
https://aidenai.io/blog/mobile-ai-agent-vs-computer-use-agent-whats-the-difference/
Note: current hardware is a dev board, not a finished product.
- 3 replies
posted an update 4 days ago
Post
2373
Aiden: a physical AI agent that controls phones over USB HID
Most GUI agent work assumes the agent lives inside the device or
drives it through a debugging interface. We went the other way.
Aiden is a small board that sits outside the host. It captures the
screen over HDMI-to-CSI, runs the agent loop on-device, and sends
actions back as a standard USB HID device — the host sees a keyboard
and a mouse, nothing else. No app install, no root, no ADB, no cloud.
Runtime is Go. Frame capture, full-duplex audio with VAD, the agent
loop, and HID output all run as independent goroutines. There's no
backend — nothing leaves the device, which is the only defensible
design when the input is a live feed of someone's phone screen.
Open questions we haven't solved:
· Action verification — inferring success from a re-read of the
screen breaks when loading states lie
· Prompt injection — an agent that reads screens reads whatever an
attacker puts on them
· iOS pointer control requires AssistiveTouch
Repo, including the HID gadget config and capture pipeline:
github.com/AidenAI-IO/aiden-hardware-demo
Wrote up how this differs from cloud-based computer use agents here:
https://aidenai.io/blog/mobile-ai-agent-vs-computer-use-agent-whats-the-difference/
Note: current hardware is a dev board, not a finished product.
Most GUI agent work assumes the agent lives inside the device or
drives it through a debugging interface. We went the other way.
Aiden is a small board that sits outside the host. It captures the
screen over HDMI-to-CSI, runs the agent loop on-device, and sends
actions back as a standard USB HID device — the host sees a keyboard
and a mouse, nothing else. No app install, no root, no ADB, no cloud.
Runtime is Go. Frame capture, full-duplex audio with VAD, the agent
loop, and HID output all run as independent goroutines. There's no
backend — nothing leaves the device, which is the only defensible
design when the input is a live feed of someone's phone screen.
Open questions we haven't solved:
· Action verification — inferring success from a re-read of the
screen breaks when loading states lie
· Prompt injection — an agent that reads screens reads whatever an
attacker puts on them
· iOS pointer control requires AssistiveTouch
Repo, including the HID gadget config and capture pipeline:
github.com/AidenAI-IO/aiden-hardware-demo
Wrote up how this differs from cloud-based computer use agents here:
https://aidenai.io/blog/mobile-ai-agent-vs-computer-use-agent-whats-the-difference/
Note: current hardware is a dev board, not a finished product.
- 3 replies
posted an update 12 days ago
Post
170
This is a short office demo showing how Aiden works in practice.
Aiden is a physical mobile AI agent device that plugs into any phone or computer via USB. It sees the screen, hears your voice, and operates the device for you — no app install required.
In this video Aiden is receiving a voice command and completing a multi-step task
Built for the AI-Native Era. Works on the phone you already have.
AidenAgent
aidenai.io
Aiden is a physical mobile AI agent device that plugs into any phone or computer via USB. It sees the screen, hears your voice, and operates the device for you — no app install required.
In this video Aiden is receiving a voice command and completing a multi-step task
Built for the AI-Native Era. Works on the phone you already have.
aidenai.io
reacted to their post with 👍 12 days ago
Post
86
Launching Aiden Mobile Agent Prototype. Looks incredible. Thoughts?
https://github.com/AidenAI-IO/aiden-hardware-demo
https://github.com/AidenAI-IO/aiden-hardware-demo
posted an update 19 days ago
Post
86
Launching Aiden Mobile Agent Prototype. Looks incredible. Thoughts?
https://github.com/AidenAI-IO/aiden-hardware-demo
https://github.com/AidenAI-IO/aiden-hardware-demo
replied to their post 28 days ago
thanks for the feedback! let me know what kind of use cases you personally would like to have on such a device, we're trying to explore as many as possible
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Introducing AidenAgent
We built a physical AI agent device. It plugs into any phone or computer via USB. It watches the screen through HDMI. It listens, speaks, and controls the connected device autonomously. No app install, no API, no permissions required.
The host just sees a keyboard and a mouse, the intelligence is in the device.
Full builder story + technical architecture at huggingface.co/blog/NatalieY/aiden-hardware-ai-agent-device
We built a physical AI agent device. It plugs into any phone or computer via USB. It watches the screen through HDMI. It listens, speaks, and controls the connected device autonomously. No app install, no API, no permissions required.
The host just sees a keyboard and a mouse, the intelligence is in the device.
Full builder story + technical architecture at huggingface.co/blog/NatalieY/aiden-hardware-ai-agent-device
- 2 replies
upvoted an article about 1 month ago
Article
Aiden Hardware: The AI Agent Device That Plugs In and Acts
NatalieY
• • 1 published an article about 1 month ago
Article
Aiden Hardware: The AI Agent Device That Plugs In and Acts
NatalieY
• • 1 reacted to Jiaqi-hkust's post with ❤️ about 1 month ago
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Happy to introduce Response-G1 #ACL2026 — a proactive agent for streaming video understanding.
📄 Paper: http://arxiv.org/abs/2605.07575
📷 Code: http://github.com/kadmkbl/Response-G1
We are happy to have a further discussion!!!
#ACL2026 #AI #Multimodal #VideoUnderstanding #OpenSource #LLM
📄 Paper: http://arxiv.org/abs/2605.07575
📷 Code: http://github.com/kadmkbl/Response-G1
We are happy to have a further discussion!!!
#ACL2026 #AI #Multimodal #VideoUnderstanding #OpenSource #LLM
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