GPT Researcher logo
GPT Researcher
★ 30.3k
vs
deep-research logo
deep-research
★ 4.7k

GPT Researcher vs deep-research

GPT Researcher: GPT Researcher is an open-source LLM agent designed for deep, structured research on any topic using web and local sources. It produces detailed reports with citations by running parallel research agents, scraping relevant sources, filtering content, and synthesizing findings. Supports local document research, customizable report formats, and multiple LLM backends including OpenAI, Anthropic, and Ollama.; deep-research: 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.

01

TL;DR

GPT Researcher logo
GPT ResearcherRAG / Knowledge Base · ★ 30.3k
When to choose:
  • You want an Apache-2.0 agent that plans sub-questions, searches the web and local documents in parallel, and writes 2,000+ word reports with citations.
  • You want to use it as a Python library, standalone web app, or MCP-connected research skill with PDF/Word export.
When to skip:
  • You want a general-purpose super-agent harness with a bash sandbox, persistent memory, and Feishu/WeCom/Slack bots; DeerFlow is built for that.
  • You do not want per-report search API (e.g. Tavily) and multi-call LLM token costs.
deep-research logo
deep-researchRAG / Knowledge Base · ★ 4.7k

Rapidly generate in-depth research reports for personal and professional use.

02

Side-by-Side Comparison

Field
GPT Researcher logoGPT Researcher
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 30.3k
★ 4.7k
License
Apache-2.0
MIT
Install Command
pip install gpt-researcher
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
2w ago
4mo ago
Open Source
Yes
Yes
Tags
AI Agent, Deep Research, Web Scraping
AI Research, LLM, Privacy-focused
03

Features

GPT Researcher logoGPT Researcher
01Parallel research agents scraping and synthesizing multiple web sources simultaneously
02Generates structured reports with citations in Markdown, PDF, or Word format
03Supports local document research in addition to web search
04Customizable report types: research reports, outlines, resource lists, and more
05Compatible with OpenAI, Anthropic, Groq, Ollama, and other LLM providers
deep-research logodeep-research
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.
04

Use Cases

GPT Researcher logoGPT Researcher
↳Automating deep research reports on any topic with sourced citations
↳Conducting market research, competitive analysis, or literature reviews at scale
↳Building research pipelines that combine web search with local knowledge base retrieval
deep-research logodeep-research
↳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.
05

Best For

GPT Researcher logoGPT Researcher
Most PopularEssentialTrending
deep-research logodeep-research
—
FAQ

FAQ

What is the difference between GPT Researcher and deep-research?
Both GPT Researcher and deep-research are in the RAG / Knowledge Base category. GPT Researcher has 30.3k stars, while deep-research has 4.7k stars.
Which is better, GPT Researcher or deep-research?
The best choice depends on your use case. Choose GPT Researcher if Automating deep research reports on any topic with sourced citations, and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is GPT Researcher free or open source?
Yes, GPT Researcher is open source on GitHub (Apache-2.0).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
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