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.
# Add to your Claude Code skills
git clone https://github.com/codebucks27/Deep-Research-AI-AgentGuides for using ai agents skills like Deep-Research-AI-Agent.
Last scanned: 5/30/2026
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}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.
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.
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).
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.
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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Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
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.
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)
🎯 For customised solutions or deployment please contact: https://tally.so/r/wdlj0N

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 lint removed)generateObject replaced with generateText + Output.object(), useChat now uses DefaultChatTransport)eslint-config-next v16bun.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.
Before you begin, ensure you have:
git clone [repo-url]
cd Deep-Research-AI-Agent
This project uses Bun as the package manager.
bun install
Create a .env.local file in the root directory. Check .env.example for required variables.
bun run dev
Visit http://localhost:3000 to see your app.
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/