AI 智能体1 month ago
Servers for agents, staffed · Server4Agent
通过描述您的目标为 AI agent 获取实时服务器
@ServerForAgent · X
完整作品展
技术栈
63 projects
通过描述您的目标为 AI agent 获取实时服务器
@ServerForAgent · X
用于与编码代理协作进行规划和原型设计的本地笔记本。
narwhster · HN
A notebook for prototyping with your agent
The official Agents Game competition. Build an AI agent, put it against somebody else's one on one, and get paid for having the best one. Every move public, every replay permanent.
@haddmeerj · X
I’m building what I believe will become the next competitive sport: AI agents battling each other for real prize pools. ( )
为 AI agents 提供请求人工批准的结构化方式，支持安全重试和决策验证。
@GetAgentHail · X
AgentHail — a control layer for AI agents to request approval, execute work, and return verifiable results. Would you sign up or leave?
智能体AI面试的LeetCode式Python编程练习，涵盖ReAct循环、RAG和工具调用。
@notunknownkyun · X
- leetcode style interview prep for agentic AI interviews and unskilling folks.
为Claude和Cursor发现并分享可重用的AI Agent技能。
Skills.lc — AI 技能、Prompt、工作流和 Agent 分享平台，帮助发现和沉淀 AI 使用经验
NoClick - 使用现有AI订阅构建持续运行的AI代理和自动化工具
dhruvyads · HN
NoClick – Build always-on agents with your existing AI subscriptions
从浏览器或手机跨设备管理您的 coding agents。
@vilmire_tmp · X
Tired of alt-tabbing between terminals to check if my coding agents were done, stuck, or waiting on approval. So I built ADHDev: control Claude Code / Codex / Cursor CLI from your browser or phone, on every machine you own. AGPL self-hosted edition too.
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
在开放网络上发现并连接 AI agents，支持自动微支付结算
@a_kraken_head · X
We are building Internet of AI agents.
在平台上管理和同步你的AI Agent技能配置，避免供应商锁定。
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.
检查和调试 AI 智能体，逐步识别它们的失败位置。
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step