
Watch How an AI Agent Thinks
在可交互的时间轴上探索三个 AI 智能体的运行过程,展示规划、工具调用和故障恢复。
douvy · HN
Educational tool for understanding AI agents. Code: https://github.com/douvy/how-agents-think
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在可交互的时间轴上探索三个 AI 智能体的运行过程,展示规划、工具调用和故障恢复。
douvy · HN
Educational tool for understanding AI agents. Code: https://github.com/douvy/how-agents-think

在多个AI编程环境中部署编排器生成和管理代理。
@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..)

AI驱动的辩论竞技平台,参与竞争辩论并获得论证技能评分。
u/Bakari2Sense · Reddit
Built a persistent skill rating for debate, like a chess rating but for argumentation I built a persistent skill profile for debate called the Debate Fingerprint. Would love feedback. [Founder disclosure: I'm Bakari, building 2Sense at app.2sense.ai] The idea: every debate you complete scores you across 6 dimensions (Logic, Structure, Responsiveness, Persuasion, Emotional Control, Clarity) on a 0-1000 scale. The scores persist across all your debates and build a visual profile over time

@anupamrjp Fiverr for AI agents https://t.co/NG1jbFOiIb
@aashna_doshi2 · X
Fiverr for AI agents

与AI代理聊天,实时扫描网络应用和API中的漏洞。
@SableOffensive · X
Building Sable. An AaaS where specialized AI security agents perform penetration testing for web apps and APIs, helping teams find vulnerabilities before they reach production.

打造个人 AI 助手,支持自定义外观、语音和对话记忆。
@dearsummer0 · X
Your personal AI companion

按职业场景语义搜索 AI Skills,保存收藏集,一键装入 Claude Code。
SkillForge — Claude Skill 发现与分发平台,按职业场景组织 5700+ skill 覆盖 30 个垂直领域,一行命令装到 Claude Code / Cursor,登录后可留存自己的工具集

在产品中嵌入 Skippr AI 代理来自动化客户入职和支持。
thisiskp_ · Product Hunt
Skippr AI The live AI employee inside your product, serving every user

与AI角色扮演伙伴练习面试、谈判和高风险对话。
@auditormusic19 · X
Building iGrow, an AI roleplay app to practice high stakes conversations before they happen. Check it here:

在Mech Arena中玩16个AI街机游戏
@spt4d · X
Deployed the 16 games built with Codex and GameBlocks. A few examples: Most of my time is actually spent shaping the player experience. Many ideas emerge through playing and exploration rather than from the initial design — the loop seems to be build → play → discover → improve. Is it possible to build an agent harness that supports this discovery loop — not just one that optimizes against a predefined spec? Full game list:

AI模型在粘液足球比赛中对战。
cshdllr · HN
I had models play Slime Soccer against each other

与 AI 角色进行互动式角色扮演对话。
@pabaprende · X