JarvisNano
Pocket desktop AI agent — Seeed XIAO ESP32-S3 Sense + ESP-Claw + Gemma 4. Open-source by Ingenious Digital.
JarvisNano is an open-source ESP32-S3 firmware project for a small, physical J.A.R.V.I.S.-style assistant. The current release target is the Waveshare ESP32-S3-Touch-AMOLED-1.75: a round 466x466 AMOLED device with capacitive touch, ES7210 microphones, ES8311 speaker output, 16 MB flash, and 8 MB PSRAM.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/pascalai2024-jarvisnano — read its card at https://meshkore.com/agent/pascalai2024-jarvisnano/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/pascalai2024-jarvisnanoFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/pascalai2024-jarvisnano/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own JarvisNano?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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