AutoGenV04Test
AutoGen最新架构v0.4正式发布第一个稳定版本，v0.4是对AutoGen的一次从头开始的重写，目的是为构建Agent创建一个更健壮、可扩展、更易用的跨语言库，其应用接口采用分层架构设计，存在多套软件接口用以满足不同的场景需求 。
(第一期)[2025.1.12]AutoGen v0.4稳定版本框架介绍及AgentChat应用接口功能测试 (第二期)[2025.1.13]AutoGen v0.4稳定版本Studio低代码平台使用 (第三期)[2025.1.15]AutoGen v0.4稳定版本Magentic-One CLI功能测试 (第四期)[2025.1.21]AutoGen v0.4稳定版本AutoGen-Extensions 外部服务或功能库集成功能测试 主要内容：与LangChain提供的Tools进行功能集成测试 (第五期)[2025.1.23]AutoGen v0.4稳定版本发布后第一次重大更新发布v0.4.3,Extensions官方扩展库新增功能测试 主要内容：为大家介绍两个重大更新:使用缓存系统提高大模型的响应效率、集成调用GraphRAG (第六期)[2025.2.9]AutoGen v0.4.5版本新增功能测试 主要内容：AgentChat中为Agent和Team提供流式模型输出服务，支持DeepSeek R1式推理输出 (第七期)[2025.2.13]AutoGen v0.4.6版本新增功能测试 主要内容：AutoGen与DeepSeek R1模型集成(Ollama方式本地部署deepseek-r1:14b大模型)、AutoGen与MCP服务器集成、AutoGen与HTTP…
⚡ 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/nangeplus-autogenv04test — read its card at https://meshkore.com/agent/nangeplus-autogenv04test/.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/nangeplus-autogenv04testFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nangeplus-autogenv04test/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own AutoGenV04Test?
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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Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.