
daoco | AI marketing software
AI 智能体自动化营销任务,包括写作、社交媒体、研究、SEO 和营销活动。
@beninthehouse · X
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AI 智能体自动化营销任务,包括写作、社交媒体、研究、SEO 和营销活动。
@beninthehouse · X

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.

跨10+个平台监控品牌提及,支持API和MCP集成。
fmerian · Product Hunt
Octolens Social listening for the agent era

自主AI代理分析市场、设计品牌、生成登陆页面,快速启动创业。
@vivannpartani · X
yo check out its the worlds best ai startup incubator! everybody please help me get my first sale and boost me to 100 followers!

为AI代理构建数据库、看板和笔记进行协作。
@emir_ogz · X
Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly

为AI代理发行一次性虚拟Visa卡,带有可配置的消费预算。
keyserfaty · Product Hunt
Agentcard for companies Give your agent a debit card

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

监控AI代理的LLM调用、API和基础设施性能。
kirankgollu · HN
Oodle.ai – $10 per million agent traces

部署基于您业务数据训练的AI代理,用于回答客户问题和筛选潜在客户。
u/george_owen123 · Reddit
What I learned building an AI chatbot: the ecom tools are everywhere, but service businesses are completely underserved Spent the last few months building Chirpy, an AI receptionist for websites, with my co-founder. The biggest thing I've learned is a positioning one, and I think it applies well beyond my niche. When we started, we assumed we'd compete in the ecommerce chatbot space, because that's where all the money and attention is. But it's extremely saturated. Gorgias, Tidio, Intercom,

为AI编程代理提供共享项目大脑,让它们记住项目架构和决策。
u/Necessary_Drag_8031 · Reddit
After 6 months of building, here is AgentHelm – a shared Project Brain for AI coding agents Hey r/SideProject , I’ve been working on solving a problem I kept hitting while building with AI agents: agent amnesia . When you run autonomous agent fleets (or even single coding assistants), each agent operates in a silo. Agent A fixes an API edge case, but Agent B 10 minutes later makes the exact same bug because it has no memory of Agent A’s fix. AgentHelm acts as a mission control plane a

检查AI代理输出和操作是否符合策略,获得批准、拒绝、重写或升级决定。
u/danielbaker06072001 · Reddit
Most AI agent SaaS is just bad security with a nice dashboard Give a new employee access to Stripe, GitHub, Slack, and your CRM on day one, and you’d call it reckless. Give the same access to an AI agent, and we call it “autonomous.” That isn’t innovation. It’s skipping basic security because the demo looks cool. Full disclosure: I’m building TrustLoopGuard around this problem, so I’m obviously biased. While testing one MCP connection, I realized I had decided what the agent could a

Stormy 提供 REST API 和 MCP 服务器,跨平台查询社交媒体数据、创作者资料和验证邮箱。
OneInterface · GitHub
stormy-cookbook Open-source cookbook for the Stormy Social Data API and MCP server (Model Context Protocol) — one REST API for the TikTok API, YouTube API, Instagram API, LinkedIn API, X (Twitter) API and Reddit API. Search creators, resolve profiles, read posts and find verified emails from Claude, Cursor, Codex, ChatGPT or curl. One key, no scrapers.