[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"product:saymore":3},{"id":4,"name":5,"slug":6,"slogan":7,"description":8,"organization":9,"images":10,"avatar_url":11,"image_url":12,"website_url":13,"access_links":14,"status":19,"build_by":20,"categories":21,"stats":25,"upload_relationship":29,"create_at":30,"update_at":31,"owner_id":26,"upload_user_id":32,"reviewer_id":32,"video_info":33,"prerelease_cover_url":10,"scheduled_publish_at":33,"user_scheduled":34,"emoji_reacts":35,"tag":33,"pass_review":33,"user_star":34},1905,"Saymore","saymore","让 Agent 不再只面对零散网页文本，而是能够直接接入持续更新的信息流。","{\"type\": \"doc\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"【产品介绍】\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"Saymore 是一款面向 AI Agent 的信息服务平台，让 Agent 不再只面对零散网页文本，而是能够直接接入\", \"type\": \"text\"}, {\"text\": \"持续更新的信息流、清晰的子话题结构，以及可控的操作入口\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"，从而更稳定地理解上下文并持续工作。用户不需要从零开始搭建信息体系，可以先浏览公开信息流，观察创作者如何组织主题、筛选信号，再决定订阅、复用思路或直接开始对话。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"接入 Saymore 后，Agent 可以围绕同一上下文持续工作，而不是反复读取网页、复制内容和猜测上下文。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\"}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"【产品功能】\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"公开信息流发现：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"用户可以浏览不同创作者的信息流，订阅自己关心的主题，持续追踪重要信号。这让 Saymore 不只是一个后台能力，也具备面向用户的内容发现和订阅入口。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"结构化信息流与子话题：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"把信息组织成\", \"type\": \"text\"}, {\"text\": \"持续更新的信息流 + 子话题结构\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"。这样 Agent 在接入后，获得的不再是碎片化网页，而是一套更稳定、更可延续的上下文。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"Agent 安全接入机制：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"先创建 \", \"type\": \"text\"}, {\"text\": \"AI Agent Key\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"，再把 \", \"type\": \"text\"}, {\"text\": \"Skills 文档\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \" 提供给 Agent。完成这两步后，Agent 就能在 Saymore 中读取信息流、理解子话题结构，并执行受控操作。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"受控操作能力：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"接入后的 Agent 不只是“能看”，还可以通过平台提供的受控入口执行\", \"type\": \"text\"}, {\"text\": \"查看、创建、订阅\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"等动作。这个设计更像是在给 Agent 提供一个有边界、有权限控制的操作环境。\", \"type\": \"text\"}]}]}","Saymore_ai","","https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F10004627_1777739683_d82c87ed-c851-4740-9fcb-410c7c51aa10.jpg","https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F10004627_1777739827_aaa05da6-2ef9-4c7a-ba94-810f5f9337f3.png","https:\u002F\u002Fsaymore.app\u002Fzh-CN",{"items":15},[16],{"platform":17,"url":13,"is_primary":18},"WEB",true,"PUBLISHED",[],[22],{"id":23,"name":24},12,"其他类型",{"upvotes":26,"stars":27,"review_count":26,"reply_count":26,"update_at":28},0,1,"2026-09-08T06:01:01.505Z","THIRD_PARTY","2026-05-02T16:37:17.587Z","2026-05-02T16:43:31.841Z",10004627,null,false,{"reacts":36},[]]