Robin: AI-Powered Dark Web OSINT Tool
Robin is an AI-powered tool for conducting dark web OSINT investigations. It leverages LLMs to refine queries, filter search results from dark web search engines, and provide an investigation summary.
Installation •
Usage •
Contributing •
Acknowledgements
## Architecture
## Features
- ⚙️ **Modular Architecture** – Clean separation between search, scrape, and LLM workflows.
- 🤖 **Multi-Model Support** – Easily switch between OpenAI, Claude, Gemini, Ollama, or any OpenAI-compatible API (LM Studio, llama.cpp, Groq, etc.).
- 🌐 **Web UI** – Streamlit-based interface for interactive investigations.
- 🐳 **Docker-Ready** – Recommended Docker deployment for clean, isolated usage.
- 📝 **Custom Reporting** – Save investigation output to file for reporting or further analysis.
- 🧩 **Extensible** – Easy to plug in new search engines, models, or output formats.
## ⚠️ Disclaimer
## Installation
### Docker [Recommended]
- Pull the latest Robin docker image
docker pull apurvsg/robin:latest
- Run the docker image as:
docker run --rm \
-v "$(pwd)/.env:/app/.env" \
--add-host=host.docker.internal:host-gateway \
-p 8501:8501 \
apurvsg/robin:latest
- Open your browser and navigate to `http://localhost:8501`
### Using Python (Development Version)
- With `Python 3.10+` and Tor installed, run the following:
pip install -r requirements.txt
streamlit run ui.py
- Open your browser and navigate to `http://localhost:8501`
## Acknowledgements
- Idea inspiration from [Thomas Roccia](https://x.com/fr0gger_) and his demo of [Perplexity of the Dark Web](https://x.com/fr0gger_/status/1908051083068645558).
- Tools inspiration from my [OSINT Tools for the Dark Web](https://github.com/apurvsinghgautam/dark-web-osint-tools) repository.
- LLM Prompt inspiration from [OSINT-Assistant](https://github.com/AXRoux/OSINT-Assistant) repository.
- Logo Design by my friend [Tanishq Rupaal](https://github.com/Tanq16/)