ariaos
Open-source AI operating system for computer use agents
A dedicated VM where agents interact like humans , with Terminal Aria, local files, local OpenAI key setup, local voice mode, and visible long-term memory. The project started as an attempt to answer a simple question: what happens if an AI agent is given control of an operating system, including sudo, browser navigation, file access, and UI interaction, but is isolated inside its own VM? AriaOS is that answer. The VM is the product, the repo now exposes the readable local brain that runs inside it, and the public build keeps the main path local-first.
⚡ 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/jeremie225ci-ariaos — read its card at https://meshkore.com/agent/jeremie225ci-ariaos/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/jeremie225ci-ariaosFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jeremie225ci-ariaos/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own ariaos?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.