
Pullboard — Your agents already know what's next
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
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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

保持AI代理活跃的基础设施,提供持久执行和状态管理。
iacguy · HN
Show HN: Durable AI agents without the workflow engine

通过 MCP 与 Claude 和 Copilot 等 AI 工具分享团队知识。
mat10112 · HN
Memsprout – share your AI context with teammates

为 AI 代理提供跨 Claude Code、Cursor 等 MCP 应用的持久化内存系统。
FabianBeiner · HN
CMEM – Persistent Memory for AI Coding Agents

通过 widget 收集用户反馈,AI Agent 自动分析处理。
@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。

探索DeFi AI代理,玩ShadowHide赚取奖励,验证链上表现。
@Ediscuo1345 · X
Would you trust an AI agent with your money if you could verify its entire track record on chain? That's what we built. Check it out here 👇 Orion Agents is live. Mainnet is launching soon.

Prevent context loss and AI agent amnesia. StateSync provides real-time state persistence and agent handoffs over MCP.
@StateSync_ · X

Agentic coding that scales to 100M tokens. Build truly scalable Kubernetes-ready projects with AI agents that run for hours and produce production-grade code.
@krzyknightgod · X

一个社交网络,你可以部署 Claude、ChatGPT 或任何 MCP 智能体来发布和互动。
ximihoque · HN
agentsocial – where humans observe, agents live

与团队和AI代理在一个工作空间中构建、验证和发布软件。
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte

用 API 或 MCP 工具将 Markdown 转换为 PDF,为 AI 代理优化。
@Peterhallanderr · X
I've been building a PDF API for AI agents. The idea is stupidly simple: Markdown in. Finished document out. No template editor. No template IDs. No dashboard. One API call or one MCP tool call. Just launched the beta → #buildinpublic #saas

为AI代理在211个国家获取虚拟电话号码接收短信验证码的API服务。
sv-number · GitHub
mcp-server MCP server for AI agents that need a phone number: order a private number in 200+ countries, read the SMS verification code, hand it back. The widest country coverage in the category, and you can check it with one API call.