Deep-Research-AI-Agent

作者 codebucks27已验证

Build a powerful Deep Research AI agent like Gemini or ChatGPT. Using Next.js, Vercel AI SDK, and Exa Search API, An intelligent system that generates follow-up questions, crafts optimal search queries, and compiles comprehensive research reports.

162
Stars
45
Forks
TypeScript
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/codebucks27/Deep-Research-AI-Agent

快速入门

使用 Deep-Research-AI-Agent 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Build Deep Research AI Agent with Next.js, Vercel AI SDk and LLMs like Gemini, Deepseek & Gpt-4o

A powerful Deep Research AI agent like Gemini or ChatGPT. Using Next.js, Vercel AI SDK, and Exa Search API, An intelligent system that generates follow-up questions, crafts optimal search queries, and compiles comprehensive research reports.

GitHub stars   GitHub forks   Github Followers  

If you want to learn how to create it please follow below tutorial👇:
➡ Tutorial Link 💚: Deep research ai agent

If you are looking for old tutorial version please checkout this branch:
Tutorial Version (Old)

IMAGE ALT TEXT HERE

🎯 For customised solutions or deployment please contact: https://tally.so/r/wdlj0N

⭐DO NOT FORGET TO STAR THIS REPO⭐

deep research Ai Agent

🚀 Key Features

  • 🔧 Fully Customizable Research Flow
  • 🔍 Adaptive Search Queries
  • ⚙️ Seamless LLM Integration
  • 💼 Modular Components
  • 🌐 Next.js & Vercel AI SDK
  • ♻️ Iterative Research Loop

🛠️ Tech Stack

  • Framework: Next.js 16 (App Router, Turbopack)
  • Styling: Tailwind CSS v4, Shadcn UI
  • AI Integration: Vercel AI SDK v6
  • LLMs: GPT-4o, Gemini, Deepseek via OpenRouter
  • Web Search: Exa Search API
  • UI Components: Shadcn
  • Language: TypeScript
  • Package Manager: Bun

🔄 What's New (Dependency Refresh)

This branch has been migrated from the original tutorial stack to the latest versions. The runtime behaviour is the same — only the toolchain moved forward.

  • Next.js 15 → 16 (Turbopack production builds, next lint removed)
  • Vercel AI SDK 4 → 6 (generateObject replaced with generateText + Output.object(), useChat now uses DefaultChatTransport)
  • @ai-sdk/react 1 → 3, @openrouter/ai-sdk-provider 0.4 → 2
  • Zod 3 → 4, lucide-react 0.x → 1, react-syntax-highlighter 15 → 16
  • ESLint config migrated to the native flat config from eslint-config-next v16
  • Package manager: switched from npm to Bun (bun.lock replaces package-lock.json)

Want the original tutorial code? Check out commit 274eff7 (the last version before the refresh) or browse any earlier commit on this branch.

⚡ Prerequisites

Before you begin, ensure you have:

  • OpenRouter API key (or you can use grok or any other LLM providers)
  • Exa search API key

🚀 Setup Instructions

1. Clone the Repository

git clone [repo-url]
cd Deep-Research-AI-Agent

2. Install Dependencies

This project uses Bun as the package manager.

bun install

3. Environment Variables

Create a .env.local file in the root directory. Check .env.example for required variables.

4. Start Development Server

bun run dev

Visit http://localhost:3000 to see your app.

🌟 Show Your Support

Give a ⭐️ if this project helped you!

If you have any question or want a custom build for your business, you can reach out to me via:

MyChannel: https://www.youtube.com/codebucks My Website: https://devdreaming.com/

常见问题

What is Deep-Research-AI-Agent?

Deep-Research-AI-Agent is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by codebucks27. Build a powerful Deep Research AI agent like Gemini or ChatGPT. Using Next.js, Vercel AI SDK, and Exa Search API, An intelligent system that generates follow-up questions, crafts optimal search queries, and compiles comprehensive research reports. It has 162 GitHub stars.

Is Deep-Research-AI-Agent safe to use?

Yes. Deep-Research-AI-Agent passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install Deep-Research-AI-Agent?

Clone the repository with "git clone https://github.com/codebucks27/Deep-Research-AI-Agent" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is Deep-Research-AI-Agent written in?

Deep-Research-AI-Agent is primarily written in TypeScript. It is open-source under codebucks27 on GitHub, so you can review or fork the full source.

Are there alternatives to Deep-Research-AI-Agent?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Deep-Research-AI-Agent against similar tools.

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