
Agent Observability that Just Works at Scale - Oodle.ai | Oodle AI
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
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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

发送真实AI代理测试网站,找出它们卡住的地方并获得修复方案。
@louiswharmby · X
It's funny how that happens! My dog vibe coded and managed to achieve 500 users in the first month! 🤣

Constellation Gate AI为AI代理提供网关,防止提示词注入、扫描密钥并节省token
benjamin_jorgensen1 · Product Hunt
Constellation Gate AI Prompt injection and token savings - #1 in benchmarks

通过REST API在云端运行Claude Code代理,流式获取执行结果。
karakanb · HN
Epho – run Claude Code with a curl

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

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

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

在3D中探索AI代理编排,实时监控项目健康和日志。
@patologico · 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.

用友好界面管理AI代理团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans