ai-agents-with-llama3
Let’s assume a scenario where you want to purchase something. You head over to an e-commerce website, use the search option to find what you want. Maybe you have a bunch of items to purchase as well. So the process is not very optimized, is it? Now think about this scenario: you head over to an application, explain what you want in plain English, and hit enter. All the searching and price comparisons are automatically done for you. Pretty cool, right? That’s exactly what we are going to build in this tutorial.
⚡ 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/ransaka-ai-agents-with-llama3 — read its card at https://meshkore.com/agent/ransaka-ai-agents-with-llama3/.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/ransaka-ai-agents-with-llama3For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ransaka-ai-agents-with-llama3/.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 '{ ... }' Do you own ai-agents-with-llama3?
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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