--- title: Robin Dark Web OSINT emoji: "🕵️" colorFrom: gray colorTo: blue sdk: docker app_port: 7860 pinned: false license: mit ---

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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

## Features - ⚙️ **Modular Architecture** – Clean separation between search, scrape, and LLM workflows. - 🤖 **Multi-Model Support** – Easily switch between OpenAI, Claude, Gemini or local models like Ollama. - 🧠 **Custom Model IDs** – Provide your own model name in CLI (`--model`) or via the UI custom model input. - 💻 **CLI-First Design** – Built for terminal warriors and automation ninjas. - 🐳 **Docker-Ready** – Optional 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 > This tool is intended for educational and lawful investigative purposes only. Accessing or interacting with certain dark web content may be illegal depending on your jurisdiction. The author is not responsible for any misuse of this tool or the data gathered using it. > > Use responsibly and at your own risk. Ensure you comply with all relevant laws and institutional policies before conducting OSINT investigations. > > Additionally, Robin leverages third-party APIs (including LLMs). Be cautious when sending potentially sensitive queries, and review the terms of service for any API or model provider you use. ## Installation > [!NOTE] > The tool needs Tor to do the searches. You can install Tor using `apt install tor` on Linux/Windows(WSL) or `brew install tor` on Mac. Once installed, confirm if Tor is running in the background. > [!TIP] > You can provide OpenAI or Anthropic or Google API key by either creating .env file (refer to sample env file in the repo) or by setting env variables in PATH. > > If you use an OpenAI-compatible proxy/gateway, set `OPENAI_BASE_URL` (or `OPENAI_URL`) for example: `https://your-openai-gateway/v1`. > > Tor requests now ignore shell proxy variables such as `http_proxy`, `https_proxy`, and `all_proxy`. > > For Ollama, provide `http://host.docker.internal:11434` as `OLLAMA_BASE_URL` in your env if running using docker method or `http://127.0.0.1:11434` for other methods. You might need to serve Ollama on 0.0.0.0 depending on your OS. You can do by running `OLLAMA_HOST=0.0.0.0 ollama serve &` in your terminal. ### Docker (Web UI Mode) [Recommended] - Pull the latest Robin docker image ```bash docker pull apurvsg/robin:latest ``` - Run the docker image as: ```bash docker run --rm \ -v "$(pwd)/.env:/app/.env" \ --add-host=host.docker.internal:host-gateway \ -p 8501:8501 \ apurvsg/robin:latest ui --ui-port 8501 --ui-host 0.0.0.0 ``` ### Hugging Face Spaces (Docker) 1. Create a new Space and choose **Docker** as SDK. 2. Push this repository to the Space git remote. 3. In Space settings, add required secrets: - `OPENAI_API_KEY` (for OpenAI models) - `OPENAI_BASE_URL` (optional, for custom OpenAI-compatible endpoint URL; `OPENAI_URL` is also supported) - `ANTHROPIC_API_KEY` (for Claude models) - `GOOGLE_API_KEY` (for Gemini models) - `OPENROUTER_API_KEY` (for OpenRouter models) 4. Rebuild the Space. The container auto-starts Robin UI on `${PORT}` (default `7860`). ### Release Binary (CLI Mode) - Download the appropriate binary for your system from the [latest release](https://github.com/apurvsinghgautam/robin/releases/latest) - Unzip the file, make it executable ```bash chmod +x robin ``` - Run the binary as: ```bash robin cli --model gpt-4.1 --query "ransomware payments" ``` ### Using Python (Development Version) - With `Python 3.10+` installed, run the following: ```bash pip install -r requirements.txt python main.py cli -m gpt-4.1 -q "ransomware payments" -t 12 ``` --- ## Usage (CLI/Development Mode) ```bash Robin: AI-Powered Dark Web OSINT Tool options: -h, --help show this help message and exit --model MODEL, -m MODEL LLM model name (supports custom model IDs for OpenAI-compatible endpoints) --query QUERY, -q QUERY Dark web search query --threads THREADS, -t THREADS Number of threads to use for scraping (Default: 5) --output OUTPUT, -o OUTPUT Filename to save the final intelligence summary. If not provided, a filename based on the current date and time is used. Example commands: - robin -m gpt4.1 -q "ransomware payments" -t 12 - robin --model gpt4.1 --query "sensitive credentials exposure" --threads 8 --output filename - robin --model openai/gpt-oss-120b --query "ransomware wallets" - robin -m llama3.1 -q "zero days" - robin -m gemini-2.5-flash -q "zero days" ``` --- ## Contributing Contributions are welcome! Please feel free to submit a Pull Request if you have major feature updates. - Fork the repository - Create your feature branch (git checkout -b feature/amazing-feature) - Commit your changes (git commit -m 'Add some amazing feature') - Push to the branch (git push origin feature/amazing-feature) - Open a Pull Request Open an Issue for any of these situations: - If you spot a bug or bad code - If you have a feature request idea - If you have questions or doubts about usage - If you have minor code changes --- ## 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/) - Workflow Design by [Chintan Gurjar](https://www.linkedin.com/in/chintangurjar)