Internet of Agents (IoA) is an open-source framework designed for orchestrating collaborative AI agents. It enables diverse, distributed agents to form teams and tackle complex tasks by providing an internet-like connectivity layer. This framework is targeted at researchers and developers looking to build sophisticated multi-agent systems that leverage specialized AI capabilities.

How It Works

IoA employs an internet-inspired architecture, allowing agents to connect and communicate across different environments. It supports autonomous nested team formation, enabling agents to dynamically create teams and sub-teams to adapt to task requirements. The framework facilitates heterogeneous agent integration, bringing together agents with varied skills, and utilizes asynchronous task execution for improved efficiency. Adaptive conversation flow management ensures structured yet flexible communication between agents.

Quick Start & Requirements

• Installation: Requires Docker. Clone the repository and build Docker images for core components and desired agents (e.g., ReAct, AutoGPT, Open Interpreter).
• Prerequisites: Docker, OpenAI API key (configured in .env). Milvus service is required for state management.
• Demo: A quick demo with AutoGPT and Open Interpreter can be launched using docker-compose -f dockerfiles/compose/open_instruction.yaml up.
• Documentation: Documentation, Paper, Distributed Setup Guide.

Highlighted Details

• Internet-inspired architecture for agent connectivity.
• Autonomous nested team formation and heterogeneous agent integration.
• Asynchronous task execution and adaptive conversation flow.
• Pre-built Docker images available for core components and popular agents.

Maintenance & Community

• Active development with a focus on improving documentation and expanding capabilities.
• Community engagement encouraged via Discord and email (ioa.thunlp@gmail.com).

Licensing & Compatibility

• The repository's license is not explicitly stated in the README. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The framework is described as "just getting started," suggesting potential for ongoing development and API changes. The README does not specify the license, which could impact commercial adoption.