FastAgency

FastAgency is an open-source framework for building, orchestrating, and deploying AI agents that can collaborate to solve complex tasks across multiple systems and workflows. It is designed to help developers create production-ready agentic applications with minimal boilerplate code while maintaining flexibility and scalability. The framework is ideal for AI developers, software engineers, startups, researchers, and enterprises building intelligent assistants, workflow automation tools, customer support agents, and multi-agent systems. By providing a structured development environment, FastAgency enables teams to move from prototype to production more efficiently.

The platform offers support for multi-agent orchestration, workflow management, API integrations, tool calling, and seamless interoperability with leading AI frameworks. Developers can build AI agents that communicate with one another, access external APIs, retrieve information from databases, execute tasks, and automate business processes. FastAgency integrates with popular technologies such as AutoGen, LangChain, CrewAI, and modern large language models, allowing developers to combine existing AI tools into unified applications. Its modular architecture makes it easy to customize agent behaviors, manage conversations, monitor workflows, and scale deployments across cloud or on-premises environments.

FastAgency helps organizations accelerate AI application development while reducing the complexity of managing collaborative AI systems. Whether creating enterprise copilots, autonomous research agents, coding assistants, or intelligent business automation platforms, developers can use FastAgency to coordinate multiple AI agents within a reliable and extensible framework. Its open-source ecosystem encourages community contributions, rapid innovation, and transparent development practices, making it a strong choice for modern AI engineering teams. And the best part? FastAgency is 100% Free and Open Source, allowing developers to download, modify, and self-host the framework without licensing costs. Organizations only need to pay for the infrastructure or AI model providers they choose to integrate.