GPT Researcher logo
GPT Researcher
★ 30.2k
vs
Agent-Framework-Samples logo
Agent-Framework-Samples
★ 389

GPT Researcher vs Agent-Framework-Samples

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.; Agent-Framework-Samples: This repository offers a comprehensive guide to building intelligent agents with the Microsoft Agent Framework. It provides practical examples and tutorials for both Python and .NET implementations, covering core concepts, tool integration, RAG, and multi-agent systems.

01

TL;DR

GPT Researcher logo
GPT ResearcherRAG / Knowledge Base · ★ 30.2k
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.
Agent-Framework-Samples logo
Agent-Framework-SamplesRAG / Knowledge Base · ★ 389

Building travel planning agents

02

Side-by-Side Comparison

Field
GPT Researcher logoGPT Researcher
Agent-Framework-Samples logoAgent-Framework-Samples
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 30.2k
★ 389
License
Apache-2.0
MIT
Install Command
pip install gpt-researcher
git clone https://github.com/microsoft/agent-framework.git && cd agent-framework/python && pip install -e .
Updated
1w ago
3mo ago
Open Source
Yes
Yes
Tags
AI Agent, Deep Research, Web Scraping
AI Agents, Python, .NET
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
Agent-Framework-Samples logoAgent-Framework-Samples
01Multiple Provider Support
02Tool Integration
03RAG Capabilities
04Multi-Agent Orchestration
05Evaluation & Debugging
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
Agent-Framework-Samples logoAgent-Framework-Samples
↳Building travel planning agents
↳Developing knowledge-enhanced agents with RAG for file search
↳Orchestrating multi-agent systems for complex workflows like marketing content generation
05

Best For

GPT Researcher logoGPT Researcher
Most PopularEssentialTrending
Agent-Framework-Samples logoAgent-Framework-Samples
Hidden Gem
FAQ

FAQ

What is the difference between GPT Researcher and Agent-Framework-Samples?
Both GPT Researcher and Agent-Framework-Samples are in the RAG / Knowledge Base category. GPT Researcher has 30.2k stars, while Agent-Framework-Samples has 389 stars.
Which is better, GPT Researcher or Agent-Framework-Samples?
The best choice depends on your use case. Choose GPT Researcher if Automating deep research reports on any topic with sourced citations, and Agent-Framework-Samples if Building travel planning agents.
Is GPT Researcher free or open source?
Yes, GPT Researcher is open source on GitHub (Apache-2.0).
Is Agent-Framework-Samples free or open source?
Yes, Agent-Framework-Samples is open source on GitHub (MIT).
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