deepagents-learn
📚 LangChain Deep Agents 课程式学习项目(deepagents + DeepSeek):minimal-deepagent 基础课(最小智能体→工具→多轮对话→记忆→多智能体→生产化)+ advanced-deepagent 进阶课(组件原理+中间件/Backend/编排/生产化)+ 生产级个人助手综合实战(SaaS 多租户+述职报告自动化)。每课一个可运行示例+中文注释。
⚡ 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/pjk-llm-deepagents-learn — read its card at https://meshkore.com/agent/pjk-llm-deepagents-learn/.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/pjk-llm-deepagents-learnFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/pjk-llm-deepagents-learn/.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
Do you own deepagents-learn?
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.