GPT Researcher vs OnCo
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.; OnCo: OnCo is an open, cited knowledge graph dedicated to cancer, aiming for total information dominance across all aspects of the disease. It provides a comprehensive repository of data, research, treatments, and patient information accessible via a website, static JSON API, and command-line tools.
TL;DR
- 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.
- 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.
Patients and Carers: Access plain-English information on cancers, treatments, side effects, and evidence-graded complementary approaches.
Side-by-Side Comparison
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