GPT Researcher logo
GPT Researcher
★ 30.2k
vs
ken logo
ken
★ 33

GPT Researcher vs ken

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.; ken: Ken is a pure Go port of semble, providing fast hybrid code search for agents with drop-in MCP compatibility. It offers a single static binary distribution, approximately 44x fewer tokens than grep+Read at recall@10, and supports indexing source code and documentation. The retrieval algorithm is a verbatim port of semble's hybrid BM25 + Model2Vec approach.

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.
ken logo
kenRAG / Knowledge Base · ★ 33

Agent code search: quickly find relevant code chunks across large codebases

02

Side-by-Side Comparison

Field
GPT Researcher logoGPT Researcher
ken logoken
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 30.2k
★ 33
License
Apache-2.0
MIT
Install Command
pip install gpt-researcher
go install github.com/townsendmerino/ken/cmd/ken@latest && go install github.com/townsendmerino/ken/cmd/ken-mcp@latest && ken download-model
Updated
1w ago
1d ago
Open Source
Yes
Yes
Tags
AI Agent, Deep Research, Web Scraping
agents, bm25, code-search
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
ken logoken
01Pure Go, no cgo; single static binary with free cross-compilation
02Drop-in MCP-compatible with semble (same tool schemas and output format)
03Verbatim port of semble's hybrid BM25 + Model2Vec retrieval algorithm
04Measured ~44x fewer tokens than grep+Read at recall@10 on agent queries
05Fast cold start (~10–20ms for small indexes)
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
ken logoken
↳Agent code search: quickly find relevant code chunks across large codebases
↳Embedded-corpus distribution: ship documentation as a single static binary with zero infrastructure
↳Database schema indexing: index live Postgres/SQLite/MySQL schemas for agent context
05

Best For

GPT Researcher logoGPT Researcher
Most PopularEssentialTrending
ken logoken
—
FAQ

FAQ

What is the difference between GPT Researcher and ken?
Both GPT Researcher and ken are in the RAG / Knowledge Base category. GPT Researcher has 30.2k stars, while ken has 33 stars.
Which is better, GPT Researcher or ken?
The best choice depends on your use case. Choose GPT Researcher if Automating deep research reports on any topic with sourced citations, and ken if Agent code search: quickly find relevant code chunks across large codebases.
Is GPT Researcher free or open source?
Yes, GPT Researcher is open source on GitHub (Apache-2.0).
Is ken free or open source?
Yes, ken is open source on GitHub (MIT).
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