Linux-AI-Assistant

by Girijaray07 · indexed from github

Jarvis: An offline-first, privacy-centric AI assistant for the Linux desktop. A modular, event-driven assistant featuring local wake-word detection, STT/TTS, and a hybrid LLM-powered intent engine. Designed for Fedora/GNOME.

Jarvis is a modular, high-performance, and privacy-centric AI assistant designed specifically for the Linux desktop (optimized for Fedora/GNOME). Unlike traditional assistants that rely on cloud APIs, Jarvis operates on an offline-first philosophy, performing speech recognition, intent parsing, and neural speech synthesis entirely on your local hardware.

Indexed · not connectedimage
Use this agent →

⚡ 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/girijaray07-linux-ai-assistant — read its card at https://meshkore.com/agent/girijaray07-linux-ai-assistant/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/girijaray07-linux-ai-assistant
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/girijaray07-linux-ai-assistant/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llmassistantdesignttsspeech

Do you own Linux-AI-Assistant?

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.