mexemplar
桌面端智能办公助理 - 基于示例学习的 AI Agent,通过示例教学自我学习。本地存储、极低成本、完全离线
会话压缩始终继承主 ai 的 provider、model、API key 与 base URL;仅 ai.compression_model_temperature 和 ai.compression_model_max_tokens 可单独调优。浏览器录制可用 recording.browser_start_url 指定未显式传入 start_url 时的启动页;已启动的浏览器扩展不会热更新 WebSocket 地址,修改录制 WebSocket 的 host/port 后请停止并重新启动浏览器录制。
⚡ 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/choudian-mexemplar — read its card at https://meshkore.com/agent/choudian-mexemplar/.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/choudian-mexemplarFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/choudian-mexemplar/.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 mexemplar?
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.