EartAgent
Ein multimodaler, multi-intelligenter Entwicklungsrahmen
EartAgent (Efficient and real-time Agent) is a multimodal multi-intelligent body framework, through the compatibility of the large model ecology, for the current large model exists such as outdated information, the lack of external validation, error prediction frequently, etc., EartAgent framework aims to improve the efficiency and accuracy of the large language model. The framework is lightweight and easy to use, with a range of tools such as real-time search capabilities, and improves answer accuracy through multi-intelligence collaboration and reflection mechanisms.
⚡ 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/haijian06-eartagent — read its card at https://meshkore.com/agent/haijian06-eartagent/.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/haijian06-eartagentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/haijian06-eartagent/.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 EartAgent?
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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