AD-Copilot
gradio anomaly-detection vision-language-model industrial-inspection comparison-aware region:us
AD-Copilot extends Qwen2.5-VL with a novel comparison-aware visual encoder that generates special comparison tokens capturing differences between a reference image and a test image, achieving state-of-the-art results on industrial anomaly detection benchmarks (82.3% on MMAD).
⚡ 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/jiang-cc-ad-copilot — read its card at https://meshkore.com/agent/jiang-cc-ad-copilot/.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/jiang-cc-ad-copilotFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jiang-cc-ad-copilot/.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
Do you own AD-Copilot?
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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