Overview
Agency Swarm is an innovative AI agent framework designed to simplify the creation of complex, collaborative multi-agent systems. Developed by Arsenii Shatokhin, the framework allows developers to design intelligent agent networks that can communicate, collaborate, and execute tasks with specialized roles and capabilities.
Key Features
- Customizable Agent Roles: Define unique agent personas with specific instructions and capabilities
- Flexible Communication Flows: Establish directional communication pathways between agents
- Type-Safe Tool Creation: Develop reliable, automatically validated agent tools
- OpenAI Assistants API Integration: Leverage advanced language model capabilities
- Comprehensive State Management: Efficiently track and manage agent interactions
- Production-Ready Architecture: Designed for scalable, reliable deployment
Use Cases
- Enterprise Workflow Automation
- Software Development Assistance
- Customer Support Optimization
- Research and Analysis Workflows
- Complex Problem-Solving Scenarios
- AI-Powered Business Process Management
Technical Specifications
- Language: Python
- API Integration: OpenAI Assistants
- Tool Validation: Pydantic-powered
- Deployment: CLI and programmatic interfaces
- Scalability: Supports multiple agents with custom communication rules
- Licensing: MIT Open Source
