JarvisNano
Pocket AI agent hardware prototype
Inside the project
01 / 04Cockpit dashboard showing the project command surface.
The brief
A problem worth
building around.
Most AI assistant demos stay trapped in a chat window. JarvisNano explores what changes when a small physical device needs camera input, local controls, model-aware behavior, and a practical path to supervised agent workflows.
Our approach
Built a public hardware and firmware prototype around ESP32-S3 with a shared C/C++ firmware tree, on-device Lua skills that load without a reflash, an MCP server and client over LAN, OpenSCAD design notes, and lightweight integration patterns that can inform robotics, kiosks, voice assistants, and edge AI experiments.
The experience
What it lets
people do.
The capabilities that turn the underlying engineering into a usable product.
- 01
Pocket AI assistant concept
- 02
Camera-capable microcontroller target
- 03
Hardware enclosure experimentation
- 04
Agent control loop planning
- 05
Open-source project documentation
Project record
What came out of it.
Public GitHub project with active 2026 development
Combines embedded hardware, AI agent patterns, and physical prototyping
Creates a credible proof point for voice, device, and local assistant work
Documents a path from experimental hardware to client-facing automation ideas
Under the hood
Embedded AI prototype tying small hardware, local behavior, and agent infrastructure into one public proof point.
Embedded AI prototype tying small hardware, local behavior, and agent infrastructure into one public proof point.
Facing Similar Challenges?
Every business is different, but the problems tend to rhyme. Get in touch and tell us about yours.