
Paitify — Agent Spend Policy Engine
实时授权和政策执行,控制AI代理的支出。
rhmnkpc · Product Hunt
Paitify The authorization layer for AI agent spending
完整作品展
技术栈
60 projects

实时授权和政策执行,控制AI代理的支出。
rhmnkpc · Product Hunt
Paitify The authorization layer for AI agent spending

为AI代理提供托管服务,支持持久工作空间、记忆和自动备份。
@hijak01 · X
check out the demo

Orca是用于构建和部署AI代理的平台,提供隔离执行和成本计量。
@okiktech · X

用于 AI 代理的文档处理层,基于 Model Context Protocol。
dvcoolarun · HN
Solve your document workflows with AI agents

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

通过分层工具和目标安全地测试和改进AI代理。
btables · HN
Cadenya – An Agent Runtime

ARGUS:为AI代理流程的可观测性平台,检测故障并解释根本原因。
@VaraadDurgaay · X
Solving the prb of observability in ai agents

Agents that remember your workflows, run missions overnight, and show their work. Start free — or bring your own keys, forever.
@sbhooley · X
Personally tailored, meaningful AI. Sign up for free at | @ArmaraOS

AI 代理的统一上下文层,集成邮箱、Drive、Slack、Notion 和 GitHub。
@marcin_u2 · X
-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)

Monitor, govern, and optimize your AI agents at scale.
@AiShivam · X
AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed

为技术文档创建 AI 助手,立即回答用户问题。
@emilsnotes · X
Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig

控制 AI 代理与外部系统交互的防火墙界面。
@lucasaimaster · X
The Firewall between agents and the Real World. Try it for today!