NamiAgent
零基础入门 AI Agent 的基础教程。不只是教程,也是一个能在本地跑起来的 Agent:读写文件、执行命令、MCP、长期记忆,自带网页端看清每一步。从 100 行最小循环开始,一课加一个能力,最后拆解 Claude Code、Codex 等主流 Agent
第 6 课起的 bot.py 还需要 TG_BOT_TOKEN 和 TG_ALLOWED_USERS,见第 6 课。第 8 课起可以接入 MCP 服务器,配置放在 ~/.nami-agent/mcp.json,格式见第 8 课。
⚡ 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/aa1143-namiagent — read its card at https://meshkore.com/agent/aa1143-namiagent/.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/aa1143-namiagentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aa1143-namiagent/.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 NamiAgent?
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.