What it does
An autonomous research agent that conducts investigations on a research topic and produces comprehensive reports. It uses a planner-execution-publisher architecture: a planner decomposes the query into focused research questions, execution agents gather information from over 20 web sources in parallel, and a publisher synthesizes findings into detailed reports with citations. The agent supports web research, local document analysis, smart image scraping, and exports to PDF or Word formats. Reports can exceed 2,000 words with proper source attribution.
Who it's for
Researchers and analysts requiring automated report generation, developers building research automation into applications, and organizations needing rapid synthesis of information from multiple sources without manual curation overhead.
Common use cases
- Generate comprehensive research reports on complex topics in minutes
- Gather and synthesize information from 20+ sources with proper citation
- Create fact-checked analytical reports with minimal manual effort
- Automate recurring research workflows for competitive intelligence and monitoring
- Export finalized research to
PDF,Word, or other formats
Setup pitfalls
- Requires credentials for multiple services:
OPENAI_API_KEY(or compatible LLM provider),TAVILY_API_KEY(search), and optionalGEMINI_API_KEYfor image generation — 3 secrets detected in scanning - Requires
Python 3.11or later - Writes research reports and exports to filesystem — verify adequate disk space and write permissions
- Makes outbound network calls to web sources — may require proxy configuration or firewall allowlist