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agent-framework
by microsoft
Framework for building, orchestrating, and deploying multi-agent workflows
Python
Updated Feb 12, 2026
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Overview
Provides a framework to build, orchestrate, and deploy AI agents and multi-agent workflows across Python and .NET. Uses modular agent components, runtime orchestration, and deployment helpers so teams can compose specialist agents, routing logic, and lifecycle management. Includes SDKs and templates for common orchestration patterns and production deployment pipelines. This approach aligns with the Model Context Protocol (MCP) Pattern and complements the Agent Registry Pattern.
Key Benefits
As agents coordinate and delegate, understanding their interactions and reliability becomes essential for trust and safe deployment. A general-purpose agent framework makes it easier to standardize how agents are composed, instrumented, and governed, which in turn enables recording agent track records and running pre-deployment evaluations. Until teams adopt consistent runtime patterns, efforts to measure agent-to-agent reliability and continuous evaluation remain fragmented. Approaches like Planning Pattern help structure this work.
Ideal For
Teams building production multi-agent applications in Python or .NET that need structured orchestration, deployment, and lifecycle tooling.
Real-World Examples
- Compose specialist agents and orchestrate task delegation with routing and retries
- Instrument agent interactions for pre-production evaluation and agent track records
- Package and deploy agent workflows to production with standard runtime and lifecycle tools
Works With
pythondotnetopenaihuggingface
Topics
agent-frameworkagentic-aiagentsaidotnetmulti-agentorchestrationpythonsdkworkflows
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Keywords
multi-agent orchestrationmulti-agent trustagent-frameworkproduction agent monitoring