FastAgency
The fastest way to bring multi-agent workflows to production.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for FastAgency, derived from its capabilities.
AIVSS 9.4 · Critical
View MAESTRO 7-layer threat model →Overview
FastAgency is an open-source framework designed to accelerate the transition from prototype to production for multi-agent AI workflows. For developers who use the AutoGen framework, FastAgency enables you to seamlessly scale Jupyter notebook prototypes into fully functional, production-ready applications. With multi-framework support, a unified programming interface, and powerful API integration capabilities, FastAgency streamlines the deployment process, saving time and effort while maintaining flexibility and performance.
Key features
- Multi-Runtime Support: FastAgency supports AutoGen and plans to add CrewAI giving developers the flexibility to switch between frameworks as needed,
- Unified Programming Interface: Develop workflows once and reuse them across console (ConsoleUI) and web (MesopUI) interfaces without rewriting code,
- Seamless API Integration: Import and connect external APIs like OpenAPI with just a couple of lines of code to enhance agent workflows,
- Command-Line Interface (CLI): Quickly run manage and automate workflows through the CLI supporting DevOps and deployment tasks
Use cases
- AI Chatbots: Deploy multi-agent conversational AI for customer support or tutoring applications,
- Data-Driven Decision Making: Build agents that gather real-time data from APIs (e.g. weather finance) to support business decisions,
- Automated Testing: Use FastAgency's Tester Class to automate testing workflows in CI environments,
- DevOps Orchestration: Automate complex workflows and integrate AI-driven operations using FastAgency's CLI for efficient DevOps management.
Listing aggregated from aiagentsdirectory.com