deep-research
Active·★ 4.6k·MIT·Updated 2026-06-18
★ Trending★ LLM★ Research Tool
Deep Research is an AI-powered tool designed to generate comprehensive research reports rapidly, leveraging advanced AI models and internet connectivity. It prioritizes user privacy by processing and storing all data locally.
deep-research is currently grouped under Browser Automation, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Rapidly generates comprehensive research reports in minutes. and Rapidly generate in-depth research reports for personal and professional use.. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 4.6k GitHub stars.
#AI Research#LLM#Privacy-focused#Web Search#Next.js#Web Browsing
01
Features
01Rapidly generates comprehensive research reports in minutes.
02Ensures privacy by processing and storing all data locally in the browser.
03Supports a wide range of mainstream large language models (LLMs).
04Integrates with various web search engines for enhanced information gathering.
05Allows uploading and processing local files to build a knowledge base.
02
Why choose it
+Rapidly generates comprehensive research reports in minutes.
+Rapidly generate in-depth research reports for personal and professional use.
+Covers 6 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a MIT license, which makes adoption and review easier.
03
Trade-offs
!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04
Compatibility
Gemini
Native Support
Verified via docs
OpenAI
Supported
Verified via docs
Ollama
Supported
Verified via docs
Vercel
Deployment Platform
Verified via docs
Docker
Containerized Deployment
Verified via docs
Searxng
Search Provider
Verified via docs
05
Quick start
1
$ docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
06
Use cases
↳Rapidly generate in-depth research reports for personal and professional use.
↳Serve as a deep research as a service (SaaS) platform via SSE API.
↳Integrate deep research functionality into other AI applications using MCP.
07
How it compares
≈deep-research sits in the Browser Automation category, so it makes more sense to evaluate it alongside tools like CopilotKit instead of in isolation.
≈If your main need is closer to "Rapidly generate in-depth research reports for personal and professional use.", that use case is a better lens for comparison than broad feature checklists alone.
≈deep-research uses a MIT license, and community traction are both easier to judge in category context.
08
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