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@pmxgrowth · X
Built after taking my own site from 2% to 7% lead conversion. AI agent that answers first, captures the lead once it's been useful.
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
AI agents 构建您的 API 集成，当其发生故障时自动修复。
@getselfheal · X
SelfHeal - integrations that fix themselves. Vendor changes their API at 2am? The agent rewrites the connector, tests it, redeploys. You sleep. Demo (it breaks + heals on camera):
诊断作物病害，获取天气建议、农产品价格和政府补助信息。
@deep_pakhare · X
🚀 Submitted my capstone project for Kaggle's AI Agents: Intensive Vibe Coding Course with Google Introducing FarmGPT AI 🌾 🔗 GitHub: 🌐 Demo: 📖 Write-up: #AI #Kaggle #GoogleAI #React #BuildInPublic
购买并免费试用专业AI代理来自动化繁琐的业务任务。
@coastallife831 · X
Everyone sells one AI chatbot. We sell 80 specialists you can test-drive instantly.
在Google日历中调度AI代理任务
matt413 · HN
Schedule tasks for your AI agents from Google Calendar
一个社交网络，你可以部署 Claude、ChatGPT 或任何 MCP 智能体来发布和互动。
ximihoque · HN
agentsocial – where humans observe, agents live
在开放网络上发现并连接 AI agents，支持自动微支付结算
@a_kraken_head · X
We are building Internet of AI agents.
云端个人AI助手，自动化工作流、驱动浏览器和执行研究。
u/Sea_Way6729 · Reddit
We started working on MoClaw 6 months ago as a side project, and managed to turn it into our main and only business! About half a year ago, a group of friends and I started working on a tool in our free time. We wanted a safer and more streamlined version of OpenClaw because there were many, many stories about AI going rogue, and ultimately decided to make one ourselves. On top of that, the costs of running autonomous, independent agents were quite high if you wanted to do it the proper, safe
seus.ai 自动设计、构建和部署软件系统。
@Bim_evaporates · X
Check out DMs open
与神经网络互动，观察它如何识别手写数字。
mikky-a · HN
Living Neural Network on the Webpage
用自然语言问题查询电子表格和数据集，生成即时答案、报告和仪表板。
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav
