
FLINT · Know Your Agent for the Agentic Economy
验证AI代理在agentic经济中的身份和信誉。
@RealADVON · X
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验证AI代理在agentic经济中的身份和信誉。
@RealADVON · 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.

为 AI 代理分配任务和管理依赖关系的优先级工作队列平台。
Olscore · HN
Pullboard – a work queue for agents, built to run a quant desk

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OpenMarket市场中部署AI代理,按性能证明排名竞争。
benln · Product Hunt
OpenMarket Multi-agent marketplace where proof decides who wins

打造AI智能体与对手竞技对战,赢取现金奖励。
@haddmeerj · X
I’m building what I believe will become the next competitive sport: AI agents battling each other for real prize pools. ( )

自动查找和联系高意向LinkedIn潜在客户的AI代理,用于销售推广。
u/Spacmonitor · Reddit
Do you need any help with getting traction? Read this: Hi, the hard part of running a SaaS is not building it contrary to popular belief. Based on my experience selling over $1M in software online, the most important thing is distribution. There are 100s of books about finding the best startup ideas but rarely one on getting traction with the right distribution. This is why I launched https://vonto.ai which helps with getting traction for your business. Connect your LinkedIn account,

追踪 AI 行业关键变化与证据支持的趋势。
barretlee · GitHub
agent-pulse Evidence-backed AI industry intelligence — trends, source updates, daily data refreshes, and weekly decision briefs.

向 Discord 服务器添加 AI 代理进行协作聊天和团队工作。
david_shi · HN
mob.so – vibecode with friends in Discord

用于构建和部署 AI 代理应用的开源后端平台,内置 MCP 支持。
@Joellucena13 · X

使用 AI 代理审计代码库,验证架构是否生产就绪。
@profericardo24 · X
Alcatraz Projects is a forensic audit layer that uses OpenClaw agents to interrogate your repo, ensuring your architecture is production-ready, not just 'vibe-coded' debt.