
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
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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

基础设施平台,连接 AI agents 到 800+ OAuth 集成,支持沙箱代码执行。
abskrj · Product Hunt
Velane Cloud for your AI Agent's tools and functions

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

AI代理24小时监控您的投资组合,提供漂移、收益和基准追踪警报。
@SigVestAI · X

为AI代理添加持久用户内存的SDK。
u/foric0 · Reddit
Built a memory layer so I stop re-explaining my project to every AI tool Every new Claude or Cursor session starts from zero. Same stack, same conventions, same things I already tried and dropped, explained again. Agent Magnet fixes that. Learns as you work, shares one memory across Claude, Cursor, and Codex. Team memory too, one person learns something, the rest of the team has it. Not the first tool trying to solve this, a few others take the retrieve-everything approach.