OpenLens AI provides a multimodal agent for conducting scientific research.
GPT Researcher
GPT Researcher conducts deep research across data sources using large language models.

About GPT Researcher
GPT Researcher is an open-source autonomous agent, written in Python, that conducts research on a given task using large language models. It can draw on both web sources and local documents and produces reports with citations. A planner agent breaks the task into research questions, execution agents gather and summarize information from each source, and a publisher step combines the findings into a final report. The project also supports recursive deep research, which explores a topic in both breadth and depth.
The homepage states that reports can exceed 2,000 words and that research can aggregate over 20 sources. Reports can be exported to PDF, Word, and other formats. Image generation uses Google Gemini, so that feature depends on an external service. Pricing is not stated on the source page.
Key features
- Generates research reports using web and local documents with citations
- Recursive deep research that explores a topic in breadth and depth
- Aggregates over 20 sources into a single research report
- AI-generated inline images using Google Gemini for report illustrations
- Smart image scraping and filtering for reports
- Exports reports to PDF, Word, and other formats
- Source code is publicly available in a GitHub repository.
- Research runs in parallel, which the homepage says keeps it fast, stable and reliable.
- Can be installed as a Claude Skill with a single npx command.
- Image generation relies on Google Gemini, an external service.
- Pricing information is not stated on the source page.
GPT Researcher at a glance
- Category
- AI & Machine Learning › AI Search & Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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GPT Researcher FAQ
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