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60 projects
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.
FantasyGen: AI生成奇幻地图、地牢图和世界地图，用于D&D和RPG游戏。
FantasyGen — AI 生成奇幻地图和人物
使用 FRAI 扫描网站中的 AI 使用情况，并测试聊天机器人的偏差和安全性。
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff
AI平台分析非洲植物适宜性和生态风险，支持现场决策。
@apicorafrica · X
Yes please, Apicora helps people understand plant suitability, ecological risk, and site-level decisions using structured African plant intelligence.
在这款5分钟交互式游戏中审问AI嫌疑人来破案。
@Kamphey · X
I made a 5 minute crime solving game. try it out. You get to talk to a suspect and interrogate them.
用AI World Generator从文本和照片实时生成互动3D世界，用于游戏、研究和机器人。
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站
用AI生成逼真的街头涂鸦艺术。
Graffiti generator — AI 街头涂鸦艺术生成器（基于 Nano Banana Pro）
自动生成网站地图、Schema标记、元标签和robots.txt文件的AI工具。
@PeakVisibilitys · X
🚀 AI-powered SEO audits and AI search optimization. Would love some feedback!
ARGUS：为AI代理流程的可观测性平台，检测故障并解释根本原因。
@VaraadDurgaay · X
Solving the prb of observability in ai agents
Flint是为AI代理设计的可视化语言,用于创建交互式数据可视化。
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple
