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FastAgency

The fastest way to bring multi-agent workflows to production

★ 541 GitHub Apache-2.0 multi-agentworkflowag2autogenpythonproductiondeployment LLM & Chat

Overview

FastAgency is an open-source framework designed to accelerate the transition from prototype to production for multi-agent AI workflows. Built on top of AG2 (formerly AutoGen), it provides a unified programming interface for deploying agentic workflows in both development and production settings. With just a few lines of code, you can create web chat applications or REST API services that interact with your agents. FastAgency supports scalable distributed systems using NATS message brokers, integrates seamlessly with external APIs via OpenAPI specs, and includes a built-in Tester class for CI/CD pipelines. It offers multiple UI options including ConsoleUI for terminal-based interaction and MesopUI for web-based applications.

Requirements

Min vCPU
1
Min RAM
1024 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
2048 MB
Rec Disk
20 GB

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