microsoft-agent-framework

The framework provides graph-based workflows to orchestrate multi-step tasks with conditional routing and parallelism. It includes architecture patterns and sample code to coordinate stateful agents across complex production scenarios.

Enterprise telemetry and middleware are integrated directly into the agent framework to support production deployments. You use the provided design patterns to add these capabilities for monitoring and managing real-world multi-agent applications.

Yes, the framework supports cross-language workflow orchestration across Python and C#. It provides integration examples and design guidance to coordinate multi-agent tasks in both programming environments.

You get started by setting up a small end-to-end Python example that creates a stateful agent with memory and tool integration. The quick start guide walks through running a simple two-step workflow and printing the final result.

Yes, the framework supports MCP, cross-language interoperability, and enterprise telemetry for production deployments. These features allow you to maintain and scale multi-agent workflows across different environments.