quicksand
Quickly sandbox your AI agent.
Quicksand is an async Python API to launch, control, and snapshot QEMU virtual machines with a particular focus on sandboxing AI agents. Quicksand provides pre-built Linux VMs for Ubuntu and Alpine distros. It works on x86_64 and ARM64 across macOS, Linux, and Windows with no root privileges, no Docker, and no system dependencies. Just pip install quick-sandbox.
⚡ 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/microsoft-quicksand — read its card at https://meshkore.com/agent/microsoft-quicksand/.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/microsoft-quicksandFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/microsoft-quicksand/.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 quicksand?
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.