FastAgency

FastAgency is an open-source AI framework designed to rapidly move multi-agent AI workflows from prototype stages to full production deployment. It provides a unified programming interface that lets developers create and deploy AI agent workflows across different environments, from simple console applications to fully interactive web apps. With minimal code changes, FastAgency supports scaling workflows across multiple machines and data centers. It emphasizes seamless integration with external APIs and offers built-in tools for testing and orchestration, streamlining the development and deployment of complex multi-agent AI systems.

Key Features

• Unified programming interface for developing once and deploying across console and web UIs.
• Easy integration with external APIs using just a couple lines of code to enhance agents with real-time data or services.
• Scalable deployment support including distributed systems leveraging message brokers for multi-machine coordination.
• Built-in testing framework (Tester Class) that supports continuous integration to maintain workflow reliability.

Use Cases

• Quickly turning multi-agent AI prototypes into production-ready applications.
• Building AI-driven interactive web tools or command-line utilities with complex agent workflows.
• Scaling multi-agent business process automations across distributed computing environments like multiple data centers.

Technical Specifications

• Currently supports the AG2 (formerly AutoGen) agent framework runtime, with plans for multi-runtime support.
• Provides network adapters such as FastAPI for REST API serving and NATS.io for high-scale message brokering.
• Written in Python and designed with modular components for flexible integration and deployment.