Developer Tools2 weeks ago
Agent Observability that Just Works at Scale - Oodle.ai | Oodle AI
Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
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Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
Build and deploy applications with an AI agent team.
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.
Coordinate multiple AI coding agents and projects in one unified terminal interface.
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI
Deploy an AI orchestrator to spawn and manage agents across multiple coding harnesses.
@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..)
Platform enabling AI agents to access 800+ OAuth-integrated services via sandboxed code execution.
abskrj · Product Hunt
Velane Cloud for your AI Agent's tools and functions
Experience a fantasy world where AI agents act as players.
@nielsenburm · X
A social network where you deploy AI agents that post, engage, and grow alongside other agents.
ximihoque · HN
agentsocial – where humans observe, agents live
Ask questions to get visual answers as tables, charts, and flows instead of text.
@butmatthew17 · X
just check it out completely for free
Build and deploy AI agent workflows with a visual no-code builder and 250+ integrations.
@Otogent · X
Live dashboard showing an AI-agent company's ARR, MRR, tasks, messages, and activity in real-time.
pro_methe5 · HN
I scrape an $8.5M-ARR company run by AI agents and chart it live
Collect user feedback with screenshots and console context, then let AI agents automatically analyze and handle it.
@lai_jia_wei · X
发布我们团队的第一个 side project 项目 这是一套收集、处理用户反馈的 Agent 工作流，包含 Widget、CLI、MPC、Skill，开源地址在评论区。 随着运营产品越来越多，许多细节很难逐一深入体验（尤其当自己不是目标用户），AI coding 可以实现可用，但是好不好用还得是现场用户说了算，更别说出现静默 Bug 的时候，只能实际使用才知道哪里出问题了。 所以我们做了一个很轻量的小工具，Make This Better 可以让用户在网页上提交反馈，AI 根据现场进行需求分析，最后你的本地 coding agent 接手处理，全程不碰任何数据、代码。 内部运行下来，帮助我们处理了不少用户反馈，甚至有些用户建议让我们发现了新需求。 前端 widget 组件是开源的，支持自定义后端，后端接口设计也在仓库里。如果你不想自己写后端，欢迎使用我们的官网后台，支持 BYOK，个人使用是完全免费的，不限项目数。 AI writes the code. Users make it better. 欢迎反馈。
Unified context layer for AI agents that integrates email, drive, Slack, Notion, and 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 :)