[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-autogpt":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"3b08f091-5234-4f2e-b14b-f2629fd8942d","AutoGPT","autogpt",3,"AutoGPT 代表早期 AI agent 自動化的實驗路線：讓模型自己拆解任務、呼叫工具、迭代執行，常見於研究原型、CLI 工具與工作流自動化。它的重要性在於把「對話」推向「可執行流程」，也暴露了可靠性、成本與狀態管理的核心問題。","AutoGPT sits in the early wave of AI agents that try to break tasks into steps, call tools, and iterate with little human input. It matters because it shifts AI from chat to executable workflows, while exposing the hard parts: reliability, cost, memory, and state handling.",[12],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"5e6fe517-45ce-4f99-af4b-e339215bba2d","superpowers-121k-stars-agents-get-structured-en","Superpowers Hits 121K Stars as Agents Get Structured","Superpowers hit 121K GitHub stars in five months by forcing AI agents into test-first, skill-based workflows that ship cleaner code.","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775093177722-xadl.png","en","2026-04-02T01:24:39.603134+00:00"]