AntNest
AntNest 是一个采用蚁后 / 工蚁架构（或蜂后 / 工蜂）的 AI 编程助手。你可以把它想象成一个蚁群： 蚁后（本体）：只负责思考、规划、决策。蚁后从不亲自执行任何命令。 工蚁（复制体）：蚁后需要干活时，会生成一只工蚁——把自身代码复制一份，派到隔离的临时目录里执行命令。工蚁干完活把结果交回来，然后被立即销毁。
源码自带 Inno Setup 安装脚本（installer/AntNest.iss）。打包策略是小包 + uv 前置：不把 Python 运行时打进去，安装时自动装 uv 和 WebView2，首次启动 uv run 建环境并装 pywebview。单用户安装到 %LOCALAPPDATA%\AntNest，无需管理员权限。装完后开始菜单 / 桌面会出现 AntNest.exe 快捷方式（原生启动器，双击即开，无控制台）。该产物作为 GitHub Release 的附加下载（AntNest-Setup.exe），不在主推之列。
⚡ 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/llxpy-antnest — read its card at https://meshkore.com/agent/llxpy-antnest/.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/llxpy-antnestFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/llxpy-antnest/.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 AntNest?
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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