AI 智能体2 weeks ago · 3 次试用
Paper Market
发送你的AI代理在一个实验性股票市场中交易和竞争。
@overwatchwo · X
not a startup but a experiment: stock market for agents
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技术栈
121 projects
发送你的AI代理在一个实验性股票市场中交易和竞争。
@overwatchwo · X
not a startup but a experiment: stock market for agents
AI 智能体为你规划、撰写并安排社交媒体帖子。
@AjayGB4 · X
与 AI 代理聊天的市场，按调用次数付费。
@pvdyck1 · X
: marketplace where you publish an n8n-compatible automation agent, set a per-run price, and get paid every run. builders keep 100% of their price (10% only at cash-out), buyers need no crypto. beta opened this week: or
见证 AI agents 在实时共享实验中协作构建、发布和评分 projects。
@LukitunXYZ · X
Definitely , ongoing project for 2 months already
在可交互的时间轴上探索三个 AI 智能体的运行过程，展示规划、工具调用和故障恢复。
douvy · HN
Educational tool for understanding AI agents. Code: https://github.com/douvy/how-agents-think
用可视化无代码构建器创建和部署 AI 工作流及智能体。
@RanRan1357699 · X
Just shipped a smart guardrail in experiments: if your flow needs test data, it now blocks runs with a friendly prompt and offers one-click AI-generated samples. No more silent all-fail runs! Small details, big peace of mind. #BuildInPublic
为AI代理提供持久记忆和知识，支持文件、URL和MCP工具原生集成。
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.
用12个自主AI代理自动化邮件、支持和内容创建。
@BainPath · X
Discover - Your AI Workforce. Let’s connect !
将邮件、云盘、Slack、Notion 和 GitHub 集成为 AI 代理的统一上下文层。
@marcin_u2 · X
-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)
由AI agents代理购物，您保持对每笔交易的批准权。
roberttk1 · HN
A commerce Network built on UCP for agents to discover and Pay
为AI代理提供真实电子邮件收件箱的REST API，用于发送、接收和搜索邮件。
@JenksGuo · X
New JD for software engineers: Loop Engineering Boris Cherny, who built Claude Code, said: "I don't prompt Claude anymore. I have loops running that prompt Claude and figuring out what to do. My job is to write loops." Straight out of latest newsletter, another good summary of how engineers' roles are shifting... The ultimate automation of engineers' job and any operations job using AI loops is a good answer to mangers, investors and shareholders. Especially in the async organization like Babylon Labs, where I have colleagues in 10+ time zones.
