Internet of Agents

What is Internet of Agents (IoA)?

Internet of Agents (IoA) is an open-source framework developed by OpenBMB that enables diverse and distributed AI agents to collaborate and tackle complex tasks. Inspired by the internet's connectivity, IoA allows agents like AutoGPT and Open Interpreter to team up, share skills, and solve problems that would be challenging for a single agent.

What are the key features of Internet of Agents?

IoA boasts several key features:

• Internet-Inspired Architecture: Connects various AI agents across different environments.
• Autonomous Nested Team Formation: Agents can self-organize into teams and sub-teams for complex tasks.
• Heterogeneous Agent Integration: Combines agents with diverse skills.
• Asynchronous Task Execution: Allows agents to multitask for increased efficiency.
• Adaptive Conversation Flow: Manages agent conversations in a structured yet flexible manner.
• Scalable and Extensible: Easily accommodates new agent types and tasks.

How can I get started with Internet of Agents?

To get started with IoA, you'll need Docker installed. You can then clone the IoA GitHub repository, build the necessary Docker images (either by pulling pre-built images or building from source), launch the Milvus service, and finally start IoA using the provided docker-compose files. Detailed instructions are available in the project's README on GitHub.

Can I run Internet of Agents across different devices?

Yes, IoA is designed to support distributed setups. The project's documentation includes a guide for running IoA across different devices.

Where can I find the documentation and paper for Internet of Agents?

Links to the official documentation and the research paper for Internet of Agents are available on the project's GitHub page: https://github.com/OpenBMB/IoA.

Internet of Agents Support Email

For support and inquiries regarding Internet of Agents, you can reach out to the OpenBMB team at: [email protected]. You can also join their Discord community for discussions and assistance.

Product Features of Internet of Agents

Overview

The Internet of Agents (IoA) is an innovative open-source framework designed to facilitate collaboration among diverse and distributed AI agents. Inspired by the internet's connectivity, IoA enables these agents to form teams, share skills, and collectively tackle complex tasks that would be challenging for a single agent. It provides a platform for AI agents like AutoGPT and Open Interpreter to work together seamlessly.

Main Purpose and Target User Group

• Main Purpose: To create a robust and scalable framework for collaborative AI agent systems, allowing heterogeneous agents to interact, form autonomous teams, and execute complex tasks efficiently.
• Target User Group: AI researchers, developers, and organizations interested in building, deploying, and experimenting with multi-agent AI systems, particularly those requiring collaboration, distributed processing, and the integration of various AI capabilities.

Function Details and Operations

• Internet-Inspired Architecture: Connects different AI agents across various environments, mirroring the distributed nature of the internet.
• Autonomous Nested Team Formation: Agents can independently form and adapt teams and sub-teams to address complex task requirements.
• Heterogeneous Agent Integration: Supports the seamless integration of agents with diverse skills and backgrounds, fostering an "all-star team" approach.
• Asynchronous Task Execution: Enables agents to multitask concurrently, significantly enhancing system efficiency.
• Adaptive Conversation Flow: Autonomously manages agent conversations, ensuring structured yet flexible communication.
• Scalable and Extensible: Designed for easy addition of new agent types and adaptability to different task domains.
• Dockerized Deployment: Provides pre-built Docker images for core components (Server, Client, Server Frontend) and various agents (ReAct Agent, AutoGPT, Open Interpreter) for simplified setup.
• Milvus Service Integration: Utilizes docker-compose for easy launch of the Milvus service, likely for vector search or knowledge management within the agent ecosystem.
• API-driven Task Launch: Allows users to launch complex goals for the agent system via simple POST requests, specifying goals, maximum turns, and desired team members.
• Distributed Setup Capability: Supports running IoA across different devices, enabling truly distributed multi-agent operations.

User Benefits

• Enhanced Problem Solving: Enables the tackling of highly complex problems by leveraging the combined intelligence and specialized skills of multiple AI agents.
• Increased Efficiency: Asynchronous task execution and autonomous team formation lead to more efficient task completion.
• Flexibility and Adaptability: The framework's design allows for easy integration of new AI models and adaptation to evolving task requirements.
• Simplified Deployment: Dockerized components streamline the setup and deployment process for multi-agent systems.
• Open-Source Collaboration: Being open-source, it fosters community contributions, continuous improvement, and transparency.
• Future-Proofing: Provides a foundation for exploring advanced AI collaboration scenarios, including connecting agents across different platforms (e.g., PC agents with mobile agents).

Compatibility and Integration

• Operating System: Requires Docker installed, implying compatibility with Linux, macOS, and Windows (via Docker Desktop).
• Dependencies: Leverages Docker and Docker Compose for containerization and orchestration.
• Agent Compatibility: Demonstrated integration with popular AI agents like AutoGPT and Open Interpreter.
• API Integration: Exposes an HTTP API for launching tasks, allowing integration with other applications or scripts.
• Milvus: Integrates with Milvus for potential data storage or retrieval needs.

Customer Feedback and Case Studies

• Current Status: As an open-source project on GitHub, it is in active development with ongoing contributions.
• Community Engagement: Encourages user feedback via Discord and email for continuous improvement.
• Documentation: Provides detailed documentation and a research paper for in-depth understanding.

Access and Activation Method

• Access: Available as an open-source project on GitHub (github.com/OpenBMB/IoA).
• Activation Method:
  1. Prerequisites: Ensure Docker is installed.
  2. Clone Repository: git clone [email protected]:OpenBMB/IoA.git
  3. Build/Pull Docker Images: Either pull pre-built images from Docker Hub or build them from source using provided docker build commands.
  4. Launch Milvus Service: Use docker-compose -f dockerfiles/compose/milvus.yaml up.
  5. Start IoA: Configure .env with API keys (e.g., OpenAI API key) and then launch using docker-compose -f dockerfiles/compose/open_instruction.yaml up for a quick demo.
  6. Testing: Test via provided Python scripts or direct HTTP POST requests to the IoA server.