开发者工具1 month ago
Idle9 — Persistent dev environments for AI coding
为AI编程工具提供的Linux工作环境，可在会话间保持文件、依赖项和服务。
@SeagerCortez · X
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为AI编程工具提供的Linux工作环境，可在会话间保持文件、依赖项和服务。
@SeagerCortez · X
自主AI工作空间，能研究、编码、分析数据、操作浏览器。
@WorkFarOfficial · X
在一个工作区中与多个领先的AI模型聊天、创作和构建。
u/Beneficial-Cow-7408 · Reddit
I'm removing the feature gates from AskSary. You shouldn't need an expensive subscription just to see what AI can do. I posted earlier about my solo project update but for some reason my photos didnt upload so i've deleted the post and did it again. Currently my site works via a paywall system, asksary.com and soon it will be updated to use a credit based system with all tools unlocked. All users can sign up for free, get an allocated drive and can even upload their own med
Build websites, slides, and documents through chat.
@7neon_7neon · X
🚀 is FOR SALE AI-powered platform for: ⚡ Chat & coding 🌐 Web app generation 📊 Slides & docs 🛠️ All-in-one AI workspace Production-ready • Scalable • Monetization-ready 🔗 📩 DM for serious inquiries #ForSale #AI
上传PDF和视频以构建可视知识图谱，然后查询AI研究助手。
allybahaei · HN
Bring all your sources into a visual space, ask questions with full context, branch LLM conversations, and go deep on YouTube videos / research papers to build your knowledge canvas.
Zetadeck：AI驱动的工作空间，集任务、CRM、文档和财务管理。
not_wowinter13 · HN
Unified workspace where AI knows your business
用于跟踪时间、管理项目和组织客户的AI驱动工作区。
@baptistedulac · X
time tracking for freelancers and agencies
Lydo: 在统一工作区中与团队和多个 AI 模型进行协作。
@johnnywestt · X
Multiplayer AI workspaces free for teams with a dozen agents already onboarded from all different models
用无代码可视化构建器和250+集成创建和部署AI代理工作流。
@Otogent · X
在空间节点画布上协作AI项目，组织语言模型上下文。
jebuehler55 · HN
I built a spatial node canvas to fix LLM context drift
ZO Builder provides a clean, unified workspace for managing AI coding tasks, tracking execution telemetry, and syncing repositories.
@alibaqbani · X
building workspace for running AI coding agents end to end. launching in public too
在加密工作区中与 Claude Code 和 Cursor 等 AI 代理共享文件和日志。
@Raullen · X
6 months ago, @qevan and I hit a stupid wall: just trying to share a local file or some logs with an AI agent was incredibly frustrating. So, we built the first version of —a dead-simple, secure way to pass context to AI. The community feedback was amazing. We got ~200 stars on GitHub, and it quickly became a daily driver for a lot of developers. But recently, we realized the game has changed. Our workflows evolved. It’s no longer just humans sending files to agents. Agents need to write back to humans. Agents need to hand off context to other agents. The whole team—human and AI—needs to collaborate. So, we gave vnsh a massive upgrade. Today, it’s no longer just a secure clipboard. It’s now a living workspace. 🚀 You drop your context in once and get a dynamic link. Claude Code, Cursor, Cline, and your human teammates all open the exact same document. When one agent updates it, your whole stack sees it instantly. Complete context handoff, without ever copy-pastin