FastAgency

SDK for AI appsMulti AgentAgent Building Frameworks and PlatformsSupports open-source models

What is FastAgency?

FastAgency is a deployment framework that transforms AutoGen and other agent-based prototypes into production-ready applications. It provides unified interfaces across different deployment environments and seamlessly integrates external APIs. The framework simplifies scaling from local development to distributed systems through standardized workflows.

Features

Open-source framework for scaling multi-agent AI workflows

Seamlessly scales Jupyter notebook prototypes to production

Supports multi-framework integration and API capabilities

Focuses on accelerating the transition from prototype to production

Links

Website GitHub

Pros and Cons of FastAgency

Pros

Unified interface works across multiple agent frameworks

Seamless transition from prototype to production deployment

External API integration requires minimal code changes

Built-in testing framework supports continuous integration

Scales from single machine to distributed deployment

Cons

Currently supports only AutoGen framework implementation

Lacks built-in monitoring and observability tools

Requires existing familiarity with agent frameworks

FastAgency Use Cases

Deploy chatbots with real-time API integrations

Scale agent workflows across multiple data centers

Automate complex multi-agent business process flows

Build distributed AI processing pipeline applications

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