
Outside Agent
使用 Claude Code 构建可通过 SMS 与外部系统交互的 AI agent。
jacobgc · HN
Outside Agent – Build SMS Agents from Claude Code
完整作品展
技术栈
25 projects

使用 Claude Code 构建可通过 SMS 与外部系统交互的 AI agent。
jacobgc · HN
Outside Agent – Build SMS Agents from Claude Code

用无代码可视化构建器和250+集成创建和部署AI代理工作流。
@Otogent · X

AI agents that continuously audit your data footprint and prove your privacy is improving.
@PrivacyPulse4U · X
Most data privacy tools rely on slow manual requests. At our AI agents continuously scan, identify, and automatically remove personal data from data broker sites—then monitor 24/7 to block relistings. Automated pipeline = hyper-scalable protection. 🛡️⚡

ACME.BOT:采访式AI博客代理,研究网络后撰写并发布文章。
rohanrecommends · Product Hunt
ACME.BOT No-slop AI SEO agent that interviews you first

Acubic is a quant AI agent for investing. It screens assets, builds portfolios under your constraints, and monitors them through a broker connection.
@andrecmendes_ · X
Build Your AI Investing Agent at


一个Kanban看板,语音笔记化为卡片,AI代理协助完成工作。
u/EloWeld · Reddit
I got tired of copy-pasting tickets into Claude Code, so I built a Kanban board that hands cards to a local agent Just a delegate to local agent feature Upfront disclaimer: it's my own project, don't take it as an ad — I genuinely just want feedback. Why yet another kanban board? • First I got tired of sorting through a pile of messages from my boss and bugs the team found by hand -> made a Telegram bot you just forward stuff to, and it writes the task up properly and

通过追踪购买信号和评分潜在客户,在LinkedIn上自动预订演示会议的AI代理。
@nickventuri · X
building to book high intent demos on autopilot founders just show up to meetings

从项目描述生成AI甘特图,用自主智能体自动化项目规划。
@Gltchdctr · X
Hey I'm building it's an agentic project management platform to allow both planning and actual project completions through ai agents.

AI研究和外联代理,生成高度个性化的冷邮件。
@Aryan_2190 · X
Hyper Personalized Outreach for B2B

通过Markdown定义品牌来生成品牌一致的电子邮件和自动化。
@philipdotxyz · X

文档解析 API,准确提取表格、公式和结构化数据给 AI 代理。
g418572664 · V2EX
做了一个文档解析与记忆工具,专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的,就像大佬们说的,“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ,说要用 AI 赋能传统行业啥的,代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子,金融行业的“智能审计与尽调 Agent”。 过去,银行或投资机构想要给一家企业贷款或投资,需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ,但把文件一股脑全丢给它是不现实的,且不说烧 token 的问题,这些文档里有无数的跨行、跨列单元格表格,普通工具一拉,表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块,那得出的财务分析就完蛋了。 所以,现在要真想开发出一个能干活,还确保正确率的 agent ,就需要一个专业的、AI-native 的解析工具,把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的: https://knowhereto.ai/?utm_source=v2ex 它能把复