Deeper Seeker is an open-source agentic research tool that automates comprehensive online research, competitor analysis, and report generation, mimicking advanced features found in proprietary AI assistants. It is designed for researchers, analysts, and power users needing to synthesize information from the web into structured, actionable reports.

How It Works

The tool employs an iterative research workflow. It begins by generating follow-up questions to refine the user's initial query, then creates a multi-step research plan. Each step involves generating precise search queries, executed in parallel via the Exa API. Results are processed, analyzed, and synthesized into a final Markdown report using Google Gemini, with inline citations.

Quick Start & Requirements

• Install via pip install -r requirements.txt after cloning the repository.
• Requires API keys for Exa, OpenAI, Groq, and Google Gemini.
• Python 3.11+ is recommended.
• Usage: python app.py

Highlighted Details

• Iterative research with continuous refinement and parallel query execution.
• Utilizes Exa API for web search and Google Gemini for report generation.
• Supports multiple AI models (OpenAI, Groq, Google Gemini) for different tasks.
• Generates structured search queries and well-formatted reports with citations.

Maintenance & Community

The project is actively maintained by HarshJ23. Contributions are welcome via pull requests. Future enhancements include a FastAPI endpoint, frontend UI, and database integration.

Licensing & Compatibility

The repository does not explicitly state a license in the provided README. Users should verify licensing for commercial use or integration with closed-source projects.

Limitations & Caveats

The tool requires multiple third-party API keys, which may incur costs. The README does not specify performance benchmarks or details on the "bus factor" of the project.