AI 智能体1 week ago
The Internet for AI Agents | ZyndAI Open Agent Network
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.
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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.
为外包销售团队打造的AI线索智能CRM
@LeadForgeLLC · X
Building the operating system for outbound agencies. AI, territory discovery, team collaboration, and execution in one workspace.
用AI智能体创建动画视频作品的创作平台
@JOKEONE6666 · X
最近帮 Web2 的团队做了一个 AI 精品漫剧，在优酷签了独家，感对 AI 制作又找到了新的感觉。全程在 完成制作，感觉体验起来还是很棒的，接下来准备开始尝试用纯 AI 做 Web3 的内容了 #Seedance #RunNOW
人类和AI代理协作的工作平台，一起执行和管理项目。
@1T31062175 · X
JobClaw用AI帮助发现匹配的工作、评分职位、联系招聘方。
@prince_twets · X
JobClaw — AI job-hunting workspace for finding, tracking, and applying to better-fit roles.
实时仪表板展示 AI-agent 公司的 ARR、MRR、任务和活动。
pro_methe5 · HN
I scrape an $8.5M-ARR company run by AI agents and chart it live
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
AI代理的钱包，管理支出预算和API访问权限。
@ceoludera · X
Financial and governance for your agents
YouEx.ai 是面向 B2B 销售团队的 AI 原生 CRM 平台，自动捕获、丰富、评分和分配线索。
u/youex-ai · Reddit
Built a CRM w/ MCP -- Biggest misunderstanding on first look? We launched an MCP connector a few weeks ago that connects our CRM data. We're still working through our product market fit, so I asked Claude What is the biggest thing people misunderstand about YouEx.ai when they first see it? I was actually not even thinking about researching our actual CRM data, but that's what it did. The answer was actually really insightful: Your own data points at it: a large sha
用于在 git worktrees 中并行运行多个 AI coding agents 的桌面应用
vuphanse
使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db
