
YAGNI. Proactive agent Teams you manage like humans.
通过类似人类管理方式的界面来管理多个AI agent团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
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通过类似人类管理方式的界面来管理多个AI agent团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans

在多个AI编程环境中部署编排器生成和管理代理。
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)

自动在招聘网站查找并投递职位申请的AI智能体。
@obus4040 · X
Building My Role Rover . It solves the problem of job hunting. It’s end to end AI Job agent that finds & auto-apply for jobs on company career page & Job boards. @myrolerover

在浏览器中持续运行和监控编码代理。
sakuraiben · HN
Reachpad – Run all your coding agents from anywhere from the browser

从浏览器或手机管理编码代理,支持多台机器同步。
@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.

Convertize AI 自动发现合适的客户并预约销售电话,无需手动跟进。
@abhishek_gadhia · X

用AI驱动的个性化指挥中心管理项目、任务和文档。
@asredoblado · X
Bonsaii - Your personal command center with an AI assistant. #bonsaii #personalai #app #vibecoding #lifemanagement

查找、复制和分享AI工作流 — 可复用的自动化系统,包含工具、提示和步骤。
@softlaunched_io · X
Hey Jack! We've just recently launched, we're a marketplace for sharing AI workflows. We're also big fans of quick-to-launch vibe coding, our entire build process workflow is public and free to check out and copy!

探索DeFi AI代理,玩ShadowHide赚取奖励,验证链上表现。
@Ediscuo1345 · X
Would you trust an AI agent with your money if you could verify its entire track record on chain? That's what we built. Check it out here 👇 Orion Agents is live. Mainnet is launching soon.

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

Fountible 可将 Figma 设计转换为 React 和 Tailwind 代码,支持 AI 设计和 3D 功能。
@onuro · X

长上下文对话、代理规划和代码部署的独立 AI 工作台
david082321 · V2EX
我做了一个 Kimi K3 的工作台,把成本、部署、评测和使用场景整理到一起 最近看大家聊 Kimi K3 、Claude 、GPT 在 coding 和长上下文任务里的差异,发现很多信息散在不同地方:API 成本、上下文窗口、本地部署、硬件需求、评测表现、适合的使用场景,都要来回翻。 所以我整理了一个偏“导航仪”的 Kimi K3 站点: https://kimi3.org/?utm_source=v2ex&utm_medium=post&utm_campaign=kimi3_org&utm_content=create_topic 它不是单纯的介绍页,更像一个给开发者用的参考工作台。你可以快速看 Kimi K3 适合做什么、部署前要准备什么、和其他模型相比大概强在哪里,以及 API 成本怎么估算。 如果你最近也在比较 Kimi K3 、Claude 、GPT 或 GLM 这类模型,欢迎看看,也欢迎提建议。