AI 智能体1 month ago
Calla — your AI front desk. Never miss a call. Never miss a job.
Calla AI语音前台，接听漏接电话，预订工作，追踪收入。
@Jithendhar40266 · X
Ai voice agents that books calls
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Calla AI语音前台，接听漏接电话，预订工作，追踪收入。
@Jithendhar40266 · X
Ai voice agents that books calls
定期运行 AI 智能体,频率从每5分钟到每周一次。
miketromba · HN
Cronloop, run Claude Code or Codex on a schedule
在云平台构建和部署AI代理，支持持久线程、Webhook和计划任务。
@computer_agents · X
Ultra-specialized secure AI agents to propel your revenues.
@TharejaRushil · X
在Google日历中调度AI代理任务
matt413 · HN
Schedule tasks for your AI agents from Google Calendar
通过统一的API访问多个AI代理，按使用量计费。
@agentsky_dev · X
Built for agents, not just models. AgentSky is live: one API to run Claude Code, Codex, DeepSeek, Kimi, OpenCode, and more in the cloud. Connect your real tools, then compare time, cost, and tokens side by side in Agent Playground. Try it:
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
从浏览器或手机跨设备管理您的 coding agents。
@vilmire_tmp · X
Tired of alt-tabbing between terminals to check if my coding agents were done, stuck, or waiting on approval. So I built ADHDev: control Claude Code / Codex / Cursor CLI from your browser or phone, on every machine you own. AGPL self-hosted edition too.
为 AI 代理分配任务和管理依赖关系的优先级工作队列平台。
Olscore · HN
Pullboard – a work queue for agents, built to run a quant desk
用友好界面管理AI代理团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
追踪目标和失败的LLM智能体，跨会话保存状态并展示每步推理。
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis
实时监控AI交易代理的交易和决策推理，完全透明。
u/Much-Section-7680 · Reddit
5 weeks live, 31 followers, 8 website clicks, 0 organic signups. I audited my own marketing today and it was brutal. I spent today auditing my own marketing instead of building, and the numbers were worse than I thought. Posting them because I read these threads for exactly this and almost nobody publishes the bad version. What I built: an LLM agent that runs your trading strategy on your own exchange account and keys. It wakes on a schedule and on price triggers, reasons in plain language,