This repository is a curated list of papers and projects focused on Large Multimodal Agents (LMAs). It aims to provide a comprehensive overview of the rapidly evolving field of AI agents that can process and reason about multiple modalities, such as text, images, audio, and video. The target audience includes researchers, engineers, and practitioners interested in building sophisticated AI systems capable of complex tasks across various domains.

How It Works

The repository categorizes LMAs based on their primary application areas and underlying methodologies. It includes taxonomies for Type I (tool-using agents), Type II (agents with enhanced reasoning or learning capabilities), Type III (agents focused on specific modalities like video), and Type IV (agents designed for broad interaction or control). This structured approach helps users navigate the landscape and identify relevant research and implementations.

Quick Start & Requirements

This is a curated list, not a runnable project. To explore specific agents, users will need to follow the GitHub links provided for each entry, which will detail their individual requirements and setup instructions.

Highlighted Details

• Comprehensive taxonomy covering various LMA types and applications.
• Extensive coverage of agents for complex visual reasoning, audio processing, embodied AI, UI automation, and video understanding.
• Includes links to numerous GitHub repositories for practical exploration.
• Features benchmark papers and datasets for evaluating LMA performance.

Maintenance & Community

The repository is a community-driven effort, with contributions from various researchers and developers. The last update was on 09/25/2024, indicating recent activity. Specific community channels or active maintainer information are not detailed in the README.

Licensing & Compatibility

The repository itself is a list of links and does not have a specific license. Each linked project will have its own licensing terms, which users must adhere to.

Limitations & Caveats

As a curated list, this repository does not provide any direct functionality or code. Users must individually assess the maturity, licensing, and technical requirements of each linked project. The rapid pace of LMA development means the list may not be exhaustive or perfectly up-to-date.