GPT Researcher logo
GPT Researcher
★ 30.2k
vs
distillery logo
distillery
★ 25

GPT Researcher vs distillery

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.; distillery: Distillery is a team knowledge base accessed through Claude Code skills. It captures, classifies, connects, and surfaces team knowledge using natural language commands. It stores knowledge as vector embeddings in DuckDB, running locally or as a hosted service.

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.
distillery logo
distilleryRAG / Knowledge Base · ★ 25

Capture and retrieve team knowledge during development

02

Side-by-Side Comparison

Field
GPT Researcher logoGPT Researcher
distillery logodistillery
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 30.2k
★ 25
License
Apache-2.0
NOASSERTION
Install Command
pip install gpt-researcher
claude plugin marketplace add norrietaylor/distillery && claude plugin install distillery
Updated
1w ago
3d ago
Open Source
Yes
Yes
Tags
AI Agent, Deep Research, Web Scraping
claude-code, duckdb, embeddings
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
distillery logodistillery
01/distill - Capture session knowledge with dedup detection
02/recall - Semantic search with provenance
03/pour - Multi-entry synthesis with citations
04/bookmark - Store URLs with auto-generated summaries
05/digest - Team activity summary from internal entries
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
distillery logodistillery
↳Capture and retrieve team knowledge during development
↳Record meeting minutes with append updates
↳Track technical decisions and architectural context
05

Best For

GPT Researcher logoGPT Researcher
Most PopularEssentialTrending
distillery logodistillery
—
FAQ

FAQ

What is the difference between GPT Researcher and distillery?
Both GPT Researcher and distillery are in the RAG / Knowledge Base category. GPT Researcher has 30.2k stars, while distillery has 25 stars.
Which is better, GPT Researcher or distillery?
The best choice depends on your use case. Choose GPT Researcher if Automating deep research reports on any topic with sourced citations, and distillery if Capture and retrieve team knowledge during development.
Is GPT Researcher free or open source?
Yes, GPT Researcher is open source on GitHub (Apache-2.0).
Is distillery free or open source?
Yes, distillery is open source on GitHub (NOASSERTION).
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