FastAgency by onwards airt | AI Agents

Agent framework

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By onwards airt

FastAgency is an innovative, open-source framework designed to accelerate the transition from prototype to production for multi-agent AI workflows. This cutting-edge platform bridges the gap between rapid prototyping and scalable, production-ready deployment, empowering developers to bring their multi-agent systems to life quickly and efficiently.

Features

FastAgency includes a variety of specific features that enhance its functionality for developers working with multi-agent systems. Each feature is designed to address common challenges in the development and deployment of AI agents, ensuring streamlined workflows and greater adaptability.

Feature	Description
Multi-Runtime Support	Supports multiple agentic runtimes including AutoGen, with plans for CrewAI, Swarm, and LangGraph.
Unified Programming Interface Across UIs	Enables code reuse across console-based and web-based applications via ConsoleUI and MesopUI.
Seamless External API Integration	Easily integrate external APIs into agent workflows with minimal code.
Tester Class for Continuous Integration	Allows developers to write and execute tests for multi-agent workflows, integrating with CI pipelines.
Command-Line Interface (CLI) for Orchestration	Provides a CLI for managing multi-agent applications directly from the terminal for automation and control.

Use cases

FastAgency can be utilized in various scenarios, demonstrating its flexibility and capability in real-world applications. Here are some examples:

Interactive Console Tools: Developers can create command-line applications that utilize AI agents to perform data analysis or automate tasks through workflows defined in FastAgency.
Web Applications: FastAgency enables developers to build fully-featured web applications that deploy the same workflows as their console counterparts, allowing for a consistent user experience across platforms.
Real-Time Data Processing: By integrating external APIs, developers can create applications that provide real-time weather updates or other dynamic content, enhancing user interaction and engagement.
DevOps Integration: The command-line interface allows for easy automation of deployments and workflow management, making it suitable for teams utilizing continuous integration and delivery practices.

How to get started

Getting started with FastAgency is straightforward. Developers can access the framework through its official GitHub repository, where they can find installation instructions, documentation, and example projects to facilitate their initial setup. Additionally, potential users may explore trial versions or contact the development team for further information and support.

Pricing for FastAgency

Pricing information for FastAgency is not available.

Features

Feature

Description

Multi-Runtime Support

Supports multiple agentic runtimes including AutoGen, with plans for CrewAI, Swarm, and LangGraph.

Unified Programming Interface Across UIs

Enables code reuse across console-based and web-based applications via ConsoleUI and MesopUI.

Seamless External API Integration

Easily integrate external APIs into agent workflows with minimal code.

Tester Class for Continuous Integration

Allows developers to write and execute tests for multi-agent workflows, integrating with CI pipelines.

Command-Line Interface (CLI) for Orchestration

Provides a CLI for managing multi-agent applications directly from the terminal for automation and control.

Use cases

FastAgency can be utilized in various scenarios, demonstrating its flexibility and capability in real-world applications. Here are some examples:

Interactive Console Tools: Developers can create command-line applications that utilize AI agents to perform data analysis or automate tasks through workflows defined in FastAgency.

Web Applications: FastAgency enables developers to build fully-featured web applications that deploy the same workflows as their console counterparts, allowing for a consistent user experience across platforms.

Real-Time Data Processing: By integrating external APIs, developers can create applications that provide real-time weather updates or other dynamic content, enhancing user interaction and engagement.

DevOps Integration: The command-line interface allows for easy automation of deployments and workflow management, making it suitable for teams utilizing continuous integration and delivery practices.

How to get started