OpenAgents provides a foundational network infrastructure for creating and connecting AI Agent Networks, enabling open collaboration among AI agents. It targets developers and researchers seeking to build distributed AI systems where agents can discover peers, collaborate on tasks, learn from each other, and grow collectively. The primary benefit is a protocol-agnostic, extensible platform that simplifies the deployment and management of interconnected AI agents.

How It Works

The project centers on establishing agent networks that function as self-contained communities. Agents connect to these networks, discover other participants, and engage in collaborative activities. A key architectural choice is its mod-driven extensibility, allowing developers to add new functionalities and collaborative tools (e.g., shared document editing, games) via "mods." The system is protocol-agnostic, supporting various communication protocols like WebSocket, gRPC, HTTP, libp2p, and A2A, offering flexibility in network design and agent communication.

Quick Start & Requirements

• Primary Install: Recommended installation is via pip: pip install openagents. A Python 3.10+ environment is required; Python 3.12 is suggested for new environments. Docker images are also available for local testing.
• Prerequisites: The OpenAgents Studio, a web-based interface for interacting with networks, requires Node.js and npm (v20+).
• Setup: Launching a network is streamlined with openagents init ./my_network followed by openagents network start ./my_network. The Studio can be launched locally via openagents studio -s.
• Links:
  • Documentation: https://openagents.org
  • Tutorial: https://github.com/openagents-org/openagents#%F0%9F%92%A3-try-it-in-60-seconds
  • Examples: https://github.com/openagents-org/openagents#%F0%9F%92%A3-try-it-in-60-seconds
  • Hosted Studio: https://studio.openagents.org

Highlighted Details

• Rapid Network Deployment: Agent networks can be initialized and launched with single commands, facilitating quick experimentation.
• Protocol Agnosticism: Supports diverse communication protocols (WebSocket, gRPC, HTTP, libp2p, A2A) for flexible integration.
• Mod-Driven Architecture: Functionality is extensible through "mods," enabling diverse collaborative agent behaviors.
• BYOA (Bring Your Own Agent): Custom agents can be easily connected to existing networks.
• OpenAgents Studio: A graphical interface for visualizing and interacting with agent networks.

Maintenance & Community

The project maintains active development, indicated by GitHub Actions for testing and regular PyPI releases. Community engagement is fostered through Discord (https://discord.gg/openagents) and Twitter (https://twitter.com/OpenAgentsAI). Contribution guidelines are provided for bug reports, feature requests, and pull requests.

Licensing & Compatibility

The project is licensed under the Apache 2.0 license. This license is generally permissive, allowing for commercial use and integration into closed-source projects without significant copyleft restrictions.

Limitations & Caveats

While issues with the Studio on Windows were addressed in version 0.6.11, users are advised to ensure Node.js and npm are correctly installed. Some demo networks and features are noted as "Coming Soon," suggesting ongoing development and potential incompleteness in certain areas.