[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-langchain":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"5c28003b-7cce-469d-afad-9ca65f2d2b29","LangChain","langchain",14,"LangChain 是用來串接模型、工具、記憶與工作流程的開發框架，常見於 RAG、agent、函式呼叫與多步驟任務。它的重要性在於把原型快速推進到可測試、可維護的產品架構。","LangChain is a framework for wiring models to tools, memory, retrieval, and multi-step workflows. It shows up in RAG, function calling, and agent systems, where the key challenge is turning LLM prototypes into testable, maintainable product code.",[12,21,28,36,43,51,58,65,72,79,86,93],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"a8e2e21f-b0d2-4f4f-89bb-1936d5fe8fd5","how-to-build-agentic-rag-with-langgraph-zh","如何用 LangGraph 打造 Agentic RAG","這篇教你用 LangGraph 建立一個會路由、檢索、驗證並回答問題的 Agentic RAG 工作流。","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778120450823-zxhl.png","zh","2026-05-07T02:20:28.380469+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":17,"image_url":26,"cover_image":26,"language":19,"created_at":27},"e133ed69-fb56-495d-96f6-1e14d7ac3242","how-to-build-a-rag-pipeline-in-5-steps-zh","5 步完成 RAG 管線","這篇教你用 5 個步驟做出 RAG 管線，讓模型先檢索你的文件，再根據內容產生有依據的答案。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777959047822-j4yr.png","2026-05-05T05:30:30.368078+00:00",{"id":29,"slug":30,"title":31,"summary":32,"category":33,"image_url":34,"cover_image":34,"language":19,"created_at":35},"3851a445-06d0-40b6-a3b7-ae900ce52a2d","free-ai-agent-resources-bookmark-guide-zh","值得收藏的 AI Agent 資源庫","一個 GitHub 彙整頁收進 Microsoft、LangChain、OpenAI 等 AI agent 教學與框架。適合想從入門課、Notebook 到實作框架，一次整理學習路線的開發者。","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776906244057-umwy.png","2026-04-23T01:03:39.387934+00:00",{"id":37,"slug":38,"title":39,"summary":40,"category":17,"image_url":41,"cover_image":41,"language":19,"created_at":42},"2e3a7869-d773-4c82-a8ab-d992934e0e47","hermes-agent-agent-harness-framework-zh","Hermes Agent：代理測試框架怎麼看","Hermes Agent 想把 agent 的工具呼叫、追蹤、評測和流程控制收進同一套框架。對要把 LLM 做進產品的團隊來說，這種 harness 比炫技 demo 更實用。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775207571413-ex0h.png","2026-04-03T09:12:32.90367+00:00",{"id":44,"slug":45,"title":46,"summary":47,"category":48,"image_url":49,"cover_image":49,"language":19,"created_at":50},"6314295c-10ee-4387-9820-edc88cadccd8","what-agentic-workflows-actually-do-enterprise-ai-zh","企業 AI 的 agentic workflow 在做什麼","agentic workflow 讓 AI 能規劃、執行、修正步驟，適合客服、營運、財務與軟體團隊處理多步驟、常出錯的工作。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775149806382-2b9o.png","2026-04-02T17:09:38.567517+00:00",{"id":52,"slug":53,"title":54,"summary":55,"category":17,"image_url":56,"cover_image":56,"language":19,"created_at":57},"a93a9f12-827d-47a3-a2cc-9a602450b5ba","bytedance-deerflow-2-0-47k-stars-zh","ByteDance DeerFlow 2.0 衝上 47.…","ByteDance 的 DeerFlow 2.0 在 GitHub 衝到 47.3K stars。它想把 agent 的規劃、工具呼叫與多步驟工作流程，做成開發者更好接上的框架。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775142408400-om8u.png","2026-04-02T15:06:32.612652+00:00",{"id":59,"slug":60,"title":61,"summary":62,"category":17,"image_url":63,"cover_image":63,"language":19,"created_at":64},"e69f860c-dee7-4831-9ebd-c4485a6fb56f","ai-agent-workflows-context-actions-verification-zh","AI Agent 工作流怎麼運作","AI Agent 不是靠一句提示詞就能跑。真正好用的系統靠的是「收集上下文、執行動作、驗證結果、重試」的工作流。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775116338426-p13x.png","2026-04-02T07:03:33.780133+00:00",{"id":66,"slug":67,"title":68,"summary":69,"category":17,"image_url":70,"cover_image":70,"language":19,"created_at":71},"73667438-2619-4c6a-8737-c9de0699e2c3","top-open-source-agentic-ai-frameworks-2026-zh","2026 最強 5 款開源 Agentic AI 框架","2,000 次測試顯示，LangGraph 最快、LangChain 最省 Token、AutoGen 最能扛錯、CrewAI 最耗資源。選框架前，先看你的失敗模式。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775093655940-wso1.png","2026-04-02T01:33:31.847537+00:00",{"id":73,"slug":74,"title":75,"summary":76,"category":17,"image_url":77,"cover_image":77,"language":19,"created_at":78},"2d99f1d9-86b5-4c8b-a1ea-4b212fd363f2","superpowers-121k-stars-agents-get-structured-zh","Superpowers 破 12.1 萬星的原因","Superpowers 在 5 個月內拿下 12.1 萬 GitHub stars。它靠的是把 AI agent 綁進技能、測試先行與固定流程，讓程式碼更乾淨、回頭修 bug 的成本更低。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775093181136-ss2q.png","2026-04-02T01:24:39.069101+00:00",{"id":80,"slug":81,"title":82,"summary":83,"category":17,"image_url":84,"cover_image":84,"language":19,"created_at":85},"367128a2-5c5f-4d39-a51f-9cedd4d538a5","agent-memory-framework-analysis-zh","AI Agent 記憶怎麼設計","AI agent 要能跨任務保持狀態，記憶設計就很重要。本文拆解短期、長期與外部記憶，並比較框架、資料庫與向量檢索的取捨。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775058021870-r6l5.png","2026-04-01T10:21:33.242276+00:00",{"id":87,"slug":88,"title":89,"summary":90,"category":33,"image_url":91,"cover_image":91,"language":19,"created_at":92},"042a73a2-18a2-433d-9e8f-9802b9559aac","github-ai-projects-to-watch-in-2026-zh","2026 必看 20 個 GitHub AI 專案","OpenClaw 衝到約 30.2 萬 GitHub stars 很吸睛，但 2026 年更大的變化其實是另一件事：開源 AI 焦點正從聊天介面，轉向 agents、工作流程、RAG 與多模態工具。這份名單反映的，是 AI 正在變成可部署的軟體基礎層。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774519972047-6tx9.png","2026-03-26T08:28:09.619964+00:00",{"id":94,"slug":95,"title":96,"summary":97,"category":48,"image_url":98,"cover_image":98,"language":19,"created_at":99},"418192da-88ae-4126-b586-bf079402c91e","prompt-engineering-2026-skill-tool-or-job-zh","2026 提示工程：技能、工具，還是工作？","提示工程還有用，但已經不是單靠幾句 Prompt 就能拿高薪的神話。從工具鏈、評估流程到職缺變化，2026 年更像是把 Prompt 納進產品、軟體與營運流程的一項實用技能。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774517431347-1wth.png","2026-03-26T08:10:10.548201+00:00"]