<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Agent框架 on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/categories/agent%E6%A1%86%E6%9E%B6/</link><description>Recent content in Agent框架 on AI 实战派 · 从技术到赚钱</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Fri, 23 Oct 2026 11:18:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/categories/agent%E6%A1%86%E6%9E%B6/index.xml" rel="self" type="application/rss+xml"/><item><title>2026 轻量级 Agent 框架选型：从零到可用</title><link>https://guijiagi.com/posts/2026-10-23-78-lightweight-agent-framework-2026/</link><pubDate>Fri, 23 Oct 2026 11:18:00 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12:48:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-09-19-semantickernel-plugins-net/</guid><description>Python 团队有 LangChain，.NET 团队有微软 Semantic Kernel。本文记录其插件机制与把企业现有 API 暴露给模型的实操。</description></item><item><title>Pydantic AI：用类型注解写一个不会乱出 JSON 的 Agent</title><link>https://guijiagi.com/posts/2026-10-09-18-pydantic-ai-typed-agent/</link><pubDate>Fri, 09 Oct 2026 12:42:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-09-18-pydantic-ai-typed-agent/</guid><description>函数调用最怕模型吐出半截 JSON。Pydantic AI 把 Pydantic 模型当工具 schema，从类型层保证输出可解析。本文记录最小可用写法。</description></item><item><title>Microsoft AutoGen v0.4 上手：事件驱动的多智能体和角色分工不是一回事</title><link>https://guijiagi.com/posts/2026-10-09-17-autogen-v04-event-driven/</link><pubDate>Fri, 09 Oct 2026 12:36:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-09-17-autogen-v04-event-driven/</guid><description>LangGraph、CrewAI 之外，微软 AutoGen v0.4 是另一套事件驱动多智能体范式。本文记录其核心抽象与第一个可跑的协作示例。</description></item><item><title>从 Agents API 到 dots 云电脑：OpenAI 的智能体范式换了</title><link>https://guijiagi.com/posts/2026-10-08-20-openai-agents-api-dots/</link><pubDate>Thu, 08 Oct 2026 16:54:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-08-20-openai-agents-api-dots/</guid><description>9 月 10 日 Agents API 公测、9 月 29 日 DevDay 推出带云电脑的 dots。本文拆解从编排 SDK 到托管沙箱的范式转移。</description></item><item><title>用 Vercel AI SDK 把 Agent 塞进 Next.js 前端：流式输出与工具调用实战</title><link>https://guijiagi.com/posts/2026-10-08-vercel-ai-sdk-agent-nextjs/</link><pubDate>Thu, 08 Oct 2026 12:48:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-08-vercel-ai-sdk-agent-nextjs/</guid><description>GPT-6 智能界面要落地，前端得会流式渲染、会处理工具回调。Vercel AI SDK 把这两件事封装成 React 里的几个钩子。</description></item><item><title>LlamaIndex Workflows 上手：用事件驱动把 RAG 和 Agent 串成状态机</title><link>https://guijiagi.com/posts/2026-10-08-llamaindex-workflows-event-driven/</link><pubDate>Thu, 08 Oct 2026 12:06:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-08-llamaindex-workflows-event-driven/</guid><description>普通链式调用在多分支 Agent 里很快失控。LlamaIndex Workflows 用「事件 + 步骤」模型，把复杂流程显式编排成状态机。</description></item><item><title>用 Google ADK 把 Agent 部署到 Agent Engine：从本地调试到云端托管</title><link>https://guijiagi.com/posts/2026-10-08-google-adk-agent-engine-deploy/</link><pubDate>Thu, 08 Oct 2026 11:42:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-08-google-adk-agent-engine-deploy/</guid><description>Google ADK 是谷歌官方的智能体开发套件，配合 Agent Engine 可把本地调试好的 Agent 一键托管到云端。本文讲这条部署链路。</description></item><item><title>自托管 Dify 搭一个内部审批助手：从 Docker 部署到第一个工作流</title><link>https://guijiagi.com/posts/2026-10-08-dify-selfhost-workflow-app/</link><pubDate>Thu, 08 Oct 2026 11:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-08-dify-selfhost-workflow-app/</guid><description>Dify 是把 LLM 工作流可视化编排的开源平台。本文给出自托管部署、接模型供应商、再跑通一个审批摘要助手的最短路径。</description></item><item><title>LangGraph 拆解：为什么 Agent 编排从链式调用走向有状态图</title><link>https://guijiagi.com/posts/2026-10-07-langgraph-agent-orchestration/</link><pubDate>Wed, 07 Oct 2026 17:12:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-07-langgraph-agent-orchestration/</guid><description>LangChain 出身的 LangGraph 把 Agent 流程建成有状态、可循环、可中断的图。拆解它的节点、边与检查点机制。</description></item><item><title>半小时写一个 MCP Server：把内部工具包成模型能调的服务</title><link>https://guijiagi.com/posts/2026-10-07-build-mcp-server-python-template/</link><pubDate>Wed, 07 Oct 2026 11:36:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-07-build-mcp-server-python-template/</guid><description>用官方 Python SDK，一个计算器或数据库查询工具，二十多行代码就能跑通。这篇给最小可运行模板和三个必踩的坑。</description></item><item><title>Agent 记不住事？短期记忆、长期记忆、向量记忆三层账本</title><link>https://guijiagi.com/posts/2026-10-07-agent-memory-three-layer-ledger/</link><pubDate>Wed, 07 Oct 2026 11:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-07-agent-memory-three-layer-ledger/</guid><description>对话历史是短期记忆，摘要压缩是中层，向量库存长期事实。三层不分层，Agent 要么忘事要么把上下文撑爆。</description></item><item><title>Agent 工具调用的幻觉补丁：function calling 参数怎么写才不跑偏</title><link>https://guijiagi.com/posts/2026-10-07-agent-function-calling-schema-pitfalls/</link><pubDate>Wed, 07 Oct 2026 11:24:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-07-agent-function-calling-schema-pitfalls/</guid><description>模型不是不调工具，是参数瞎填。工具描述写得像说明书还是像合同，直接决定 function calling 的成功率。</description></item><item><title>多智能体别堆人：CrewAI 角色分工的真实边界与踩坑</title><link>https://guijiagi.com/posts/2026-10-07-multi-agent-crewai-role-collaboration/</link><pubDate>Wed, 07 Oct 2026 11:18:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-07-multi-agent-crewai-role-collaboration/</guid><description>一个任务派五个 Agent 听起来酷，实际是幻觉放大器。CrewAI 上手快，但角色边界、任务交接、死循环这三个坑不踩过不算会用。</description></item><item><title>OpenAI Agents API 9月10日公测：托管Codex harness，沙箱+并行子Agent+MCP</title><link>https://guijiagi.com/posts/2026-09-17-openai-agents-api-public-beta/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://guijiagi.com/posts/2026-09-17-openai-agents-api-public-beta/</guid><description>9月10日OpenAI Agents API进入公测，提供托管式Codex harness：沙箱环境、上下文压缩、并行子Agent、MCP协议、可恢复会话。与Claude Code和Cursor Projects形成三足鼎立。</description></item><item><title>腾讯WorkBuddy开放平台：硬件、应用、开发者三层打通的Agent生态</title><link>https://guijiagi.com/posts/tencent-workbuddy-open-platform-agent/</link><pubDate>Fri, 11 Sep 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/tencent-workbuddy-open-platform-agent/</guid><description>2026年9月，腾讯WorkBuddy开放平台正式上线，首批超百家生态伙伴接入，接入30余品牌硬件，覆盖金融、法律等20多个行业领域，成为国内首个同时打通硬件、应用、开发者三层的AI Agent开放平台。</description></item><item><title>OpenClaw 2.0发布：575毫秒启动、SQLite会话、chat-first控制界面</title><link>https://guijiagi.com/posts/openclaw-20-release-upgrade/</link><pubDate>Mon, 31 Aug 2026 09:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/openclaw-20-release-upgrade/</guid><description>2026年8月31日，开源AI Agent框架OpenClaw发布2.0版本：安装流程重做，浏览器端Control UI重构为chat-first，启动时间降至575毫秒，会话存储迁入SQLite，新增共享云会话能力。这是开源Agent框架在开发者体验上的一次重大升级。</description></item></channel></rss>