# apurvsinghgautam/robin

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4,238 stars · 811 forks · Python · mit

## Links

- GitHub: https://github.com/apurvsinghgautam/robin
- awesome-repositories: https://awesome-repositories.com/repository/apurvsinghgautam-robin.md

## Topics

`ai-tool` `darkweb` `darkweb-osint` `investigation-tool` `llm-powered` `osint` `osint-tool`

## Description

Robin is an AI-powered open source intelligence framework and dark web investigation tool. It functions as a multi-model AI orchestrator that integrates search engines and web scrapers with language models to automate information gathering and data synthesis.

The system utilizes a crawl-and-filter architecture to isolate high-value data from raw web content and employs a query-refinement pipeline to optimize search terms. It specifically supports dark web investigations by routing requests through proxies to access hidden services and using language models to analyze and summarize findings from onion networks.

The framework covers broad capabilities in OSINT data collection, threat intelligence reporting, and content filtering. It includes a provider-agnostic interface for connecting various cloud and local AI providers, along with a health-monitoring system to verify the connectivity of network proxies.

Gathered intelligence and AI-generated summaries are exported through an investigation report generator into structured files for offline review and archival.

## Tags

### Artificial Intelligence & ML

- [Multi-Model AI Orchestrators](https://awesome-repositories.com/f/artificial-intelligence-ml/multi-model-ai-orchestrators.md) — Functions as a multi-model AI orchestrator integrating various cloud and local language model providers for data analysis.
- [AI-Powered Content Filters](https://awesome-repositories.com/f/artificial-intelligence-ml/ai-powered-content-processors/ai-powered-content-filters.md) — Uses a crawl-and-filter architecture with AI to isolate high-value data from irrelevant raw web content. ([source](https://github.com/apurvsinghgautam/robin/blob/main/ui.py))
- [Intelligence Analysis Pipelines](https://awesome-repositories.com/f/artificial-intelligence-ml/intelligence-analysis-pipelines.md) — Uses large language models to filter search results, refine queries, and summarize raw data into intelligence reports.
- [AI-Generated Security Reports](https://awesome-repositories.com/f/artificial-intelligence-ml/ai-generated-security-reports.md) — Synthesizes gathered reconnaissance data and AI summaries into structured files for offline review.
- [LLM Workflow Orchestrations](https://awesome-repositories.com/f/artificial-intelligence-ml/llm-workflow-orchestrations.md) — Orchestrates a pipeline that connects various cloud and local LLM providers for data analysis and synthesis.
- [Model Provider Configurations](https://awesome-repositories.com/f/artificial-intelligence-ml/model-provider-configurations.md) — Provides configuration management for cloud and local AI providers, including credential validation and model selection. ([source](https://github.com/apurvsinghgautam/robin/blob/main/.env.example))
- [Multi-Model AI Interfaces](https://awesome-repositories.com/f/artificial-intelligence-ml/multi-model-ai-interfaces.md) — Provides an integration layer to connect multiple AI providers and local model runners for diverse analysis workflows. ([source](https://github.com/apurvsinghgautam/robin#readme))
- [Provider-Agnostic Model Interfaces](https://awesome-repositories.com/f/artificial-intelligence-ml/provider-agnostic-model-interfaces.md) — Provides a common interface to abstract different AI providers and local runners for consistent query handling.
- [Text Summarization](https://awesome-repositories.com/f/artificial-intelligence-ml/text-summarization.md) — Synthesizes raw data from multiple OSINT sources into concise intelligence summaries using language models. ([source](https://github.com/apurvsinghgautam/robin/blob/main/ui.py))

### Development Tools & Productivity

- [Dark Web Search Engines](https://awesome-repositories.com/f/development-tools-productivity/dark-web-search-engines.md) — Searches onion services and hidden networks via proxies to gather intelligence and identify threats.
- [OSINT Automation Frameworks](https://awesome-repositories.com/f/development-tools-productivity/open-source-tools/osint-automation-frameworks.md) — Automates intelligence gathering by scraping and extracting text from multiple online sources via proxies.
- [AI Query Optimizers](https://awesome-repositories.com/f/development-tools-productivity/search-query-utilities/search-query-transformers/ai-query-optimizers.md) — Transforms raw user input into optimized short-form search terms using a language model before executing searches.
- [Web Scraping](https://awesome-repositories.com/f/development-tools-productivity/web-scraping.md) — Extracts text content from both hidden and clearweb URLs using proxies and rotating user agents. ([source](https://github.com/apurvsinghgautam/robin/blob/main/scrape.py))
- [Search Query Utilities](https://awesome-repositories.com/f/development-tools-productivity/search-query-utilities.md) — Transforms user input into optimized short-form search terms using a language model to improve result accuracy. ([source](https://github.com/apurvsinghgautam/robin/blob/main/llm.py))

### Part of an Awesome List

- [OSINT Investigation Tools](https://awesome-repositories.com/f/awesome-lists/ai/osint-investigation-tools.md) — Combines hidden service scraping and AI analysis to conduct comprehensive open source intelligence investigations.
- [AI-Driven Content Filtering](https://awesome-repositories.com/f/awesome-lists/devtools/web-crawling-and-scraping/ai-driven-content-filtering.md) — Uses an AI-driven filtering layer to isolate high-value intelligence from raw web content and noise.
- [Report Generation](https://awesome-repositories.com/f/awesome-lists/data/report-generation.md) — Generates and exports gathered intelligence and analyzed data into structured report files. ([source](https://github.com/apurvsinghgautam/robin#readme))

### Data & Databases

- [Search Result Filtering](https://awesome-repositories.com/f/data-databases/search-result-filtering.md) — Uses language models to remove irrelevant noise from raw web search and scraping results.
- [Intelligence Report Persistence](https://awesome-repositories.com/f/data-databases/intelligence-report-persistence.md) — Saves gathered intelligence and AI summaries into local files to enable offline review and archival.

### Networking & Communication

- [Proxy and Tunneling Clients](https://awesome-repositories.com/f/networking-communication/network-infrastructure-routing/network-infrastructure-configuration/network-management/proxy-tunneling-clients.md) — Routes scraping and search requests through dedicated proxies to access hidden onion services anonymously.

### Security & Cryptography

- [Dark Web Investigation Workflows](https://awesome-repositories.com/f/security-cryptography/threat-intelligence-platforms/investigation-orchestration/dark-web-investigation-workflows.md) — Implements a specialized workflow that uses AI to refine queries and summarize findings from dark web search engines. ([source](https://github.com/apurvsinghgautam/robin#readme))
- [Intelligence Reporting](https://awesome-repositories.com/f/security-cryptography/threat-intelligence-platforms/intelligence-reporting.md) — Documents and exports gathered investigation findings into structured intelligence reports for archival.