
ContextIQ — AI Context Engineering Suite for AI Engineers
检查 RAG 块并可视化 AI 代理工作流、内存架构和执行轨迹。
@Higgs0110 · X
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21 projects

检查 RAG 块并可视化 AI 代理工作流、内存架构和执行轨迹。
@Higgs0110 · X

创建一个个人上下文文件,AI 工具在响应前会读取它,代理会持续更新,支持跨平台使用。
@connorhpbrn · X
the garden for your context

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

定义一次团队信息,让所有 AI 工具同步访问和更新。
@nav_ux · X
BaseThread here. We're building the shared context layer so a team's AI tools, Claude, ChatGPT, Cursor, all read and write the same thing instead of starting cold every session.

保存来自 X 和 LinkedIn 的联系人及其相关背景信息,在合适的时间重新建立联系。
@aditya_founder · X

在AI助手间共享上下文,让它们记住代码库和任务历史。
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.

通过AI聊天界面一站式创建视频,自动生成脚本、配音和编辑。
u/Real-Estate-Agentx44 · Reddit
Built an AI video tool where one chat writes, voices, generates, and edits the whole video - is all-in-one actually useful or do you prefer separate tools? I've been building ViewPress AI , an AI video generator, and I'm at the point where I want honest feedback before I keep pushing in one direction. Instead of jumping between a script tool, a voice tool, an image/video generator, and an editor, you describe what you want in one chat and the agent handles the whole thing. It

Solvo:将你的文档转化为AI客服聊天小组件,自动回答客户问题并引用来源。
@dhruvkumar1805 · X

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)


一个私密AI助手,生活在Telegram中,记住聊天内容,用你的API密钥运行。
@latent_node · X

用AI自动整理YouTube视频到播放列表的Chrome扩展。
@almalimir · X
– a @YouTube extension for organizing videos