This repository serves as an extensive curated list of open-source and closed-source projects, papers, and tools related to "Deep Research" in AI. It aims to provide a comprehensive overview for researchers, developers, and practitioners interested in advanced AI systems, agent frameworks, scientific discovery, and related fields. The list covers a wide spectrum of AI applications, from agent orchestration platforms to domain-specific tools and evaluation benchmarks.

How It Works

The repository is structured as a curated list, categorizing various AI projects and research papers. It acts as a directory, providing links to GitHub repositories, official documentation, and academic papers. The primary value lies in its breadth and organization, allowing users to discover and navigate the rapidly evolving landscape of AI research and development, particularly in areas like autonomous agents and AI-assisted scientific discovery.

Quick Start & Requirements

This repository is a curated list and does not require installation or execution. It serves as a reference guide.

Highlighted Details

• Extensive categorization of AI projects, including Agent Frameworks, AI Assistant Tools, Workflow tools, Multi-modal Agent UIs, Foundation Models, Developer Tools, Research/Academic Search, Model Training Frameworks, and AI Evaluation & Benchmarking.
• Includes links to numerous academic papers, providing access to foundational research and recent advancements in AI.
• Features both open-source and closed-source projects, offering a broad view of the AI ecosystem.
• Covers a wide range of AI applications, from general agent frameworks to specialized tools for scientific research and software development.

Maintenance & Community

This repository appears to be a static compilation of resources. Information regarding active maintenance, community engagement, or specific contributors is not detailed in the provided README.

Licensing & Compatibility

The repository itself is a list of links and does not have a specific license. The licensing of the linked projects varies, with many being open-source (e.g., MIT, Apache) and others being closed-source or proprietary. Users must consult the licenses of individual linked projects for compatibility and usage terms.

Limitations & Caveats

As a curated list, the repository's content is dependent on the maintainer's selection and may not be exhaustive. The "Deep Research" concept itself is broad, and the scope of included projects might vary in relevance to individual user needs. The rapid pace of AI development means the list may require frequent updates to remain current.