生产力6 days ago
Fold — one place for tasks, files and team communication
Fold 在一个工作空间中管理团队的任务、文件和聊天。
@foldtaskapp · X
完整作品展
技术栈
60 projects
Fold 在一个工作空间中管理团队的任务、文件和聊天。
@foldtaskapp · X
与橡皮鸭聊天，支持浏览器使用或OpenAI API兼容接入。
Antihero5759 · HN
I built a rubber duck chat that you can use through the browser but it's also OpenAI api compatible so you can plugin it in and use it through your favorite ai app. https://bearjcc-quack-language-model.hf.space/
在一个工作区对比并运行多个AI模型生成文本、图像和视频。
AI Onekit — AI 聚合模型创作平台 - [更多介绍](https://aionekit.com/models)
用于构建网站、编写代码和处理复杂任务的 Agentic AI 助手。
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0
GuidedBase 将应用想法转化为蓝图和启动代码。
@GuidedBase · X
将您的网站转化为 24/7 AI 聊天机器人，自动回答客户问题
@ContextGPTai · X
— AI Chatbot That Knows Your Business ContextGPT lets you build an AI chatbot trained on your website, PDFs, Docx, ppts, Youtube, Sharepoint, Notion, Confluence, GitBook, Box, Github, iCloud. Integrate the ai to Slack, Crisp, Zendesk, Freshchat, Zoho,etc
存储提示词和背景信息，通过 MCP 让 Claude Code、Cursor 等 AI 工具共享访问。
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:
快速生成美观的二维码，支持自定义颜色、渐变和商标。
@TheSarimQureshi · X
为网站和应用添加以文档为基础的语音和指针引导。
@moelabs_dev · X
Skilly — gives your product a voice that points. One script tag adds in-app help that answers from your own docs and moves the user's cursor to the exact button.
基于您内容的网站AI助手，为访客回答问题并提供来源。
@AjayGB4 · X
Genesis OS是一款AI副驾驶生态系统,协助您完成生活和工作各方面的任务。
@GenesisAIApps · X
A smart AI copilot ecosystem for life, work, and beyond the stars.
向多个前沿大模型提问，获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree