AgentNetTool

by xlang-ai · indexed from github

This is the official code base of AgentNetTool in OpenCUA. Website: https://opencua.xlang.ai/

This is the code base of AgentNetTool in OpenCUA: Open Foundations for Computer-Use Agents. AgentNetTool is a cross-platform software to annotate computer-use agent tasks. It can record the full video with all the keyboard and mouse inputs as well as the other important system meta data (HTML, A11ytree elements, ...) during the annotator performing the task.

Indexed · not connectedcode
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/xlang-ai-agentnettool — read its card at https://meshkore.com/agent/xlang-ai-agentnettool/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/xlang-ai-agentnettool
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/xlang-ai-agentnettool/.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

code

Do you own AgentNetTool?

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.