Microsoft Agent Framework
An SDK framework introduced by Microsoft for building, orchestrating, and deploying AI agents. It provides capabilities including tool invocation, multi-step reasoning, and state management, and supports defining agent behavior through either declarative configuration or code.
Timeline (last 90 days)
The framework is deeply tied to LangSmith, Microsoft Agent Framework, Microsoft Foundry, and other Azure or partner ecosystem components, so teams not using the Azure technology stack cannot directly copy the specific toolchain.
On its Agent Framework overview page, Microsoft states that developers are responsible for carefully reviewing and testing applications built with the framework for their specific use cases, including implementing their own responsible AI mitigations.
AutoGen has entered maintenance mode, the README explicitly states that it no longer accepts new features, and the official recommendation for new users is to move to Microsoft Agent Framework, whose successor officially became GA on April 3, 2026.
Microsoft Agent Framework's differentiation lies in enterprise integration, placing more emphasis on connection with the Microsoft ecosystem (Azure, Copilot, etc.).
Magentic-One is a general-purpose multi-agent system architecture proposed by Microsoft Research, in which an orchestrator agent is responsible for task planning and progress tracking while several specialized agents collaborate to complete open-ended tasks; it has been integrated into Microsoft Agent Framework as a built-in coordination pattern.
Microsoft Agent Framework version 1.0 was officially released (GA) in April 2026.
The Responses protocol is a communication protocol supported by the Microsoft Agent Framework that, compared to the Chat Completions protocol, is better suited for stateful multi-turn conversations and streaming output scenarios.
Agent framework selection is fundamentally an engineering constraints problem: choose MAF for the Microsoft stack, Google ADK for GCP, Mastra for TS teams, LlamaIndex for data processing, CrewAI for role mapping, OpenAI Agents SDK for minimalist low-level needs, and LangChain for cross-model compatibility.
Google ADK, Microsoft Agent Framework, CrewAI, LangGraph/LangSmith, and Lyzr Agent Studio all support A2A, but the location of the protocol boundary differs across frameworks.
All Facts (9)
The framework is deeply tied to LangSmith, Microsoft Agent Framework, Microsoft Foundry, and other Azure or partner ecosystem components, so teams not using the Azure technology stack cannot directly copy the specific toolchain.
50%UnverifiedOn its Agent Framework overview page, Microsoft states that developers are responsible for carefully reviewing and testing applications built with the framework for their specific use cases, including implementing their own responsible AI mitigations.
50%UnverifiedAutoGen has entered maintenance mode, the README explicitly states that it no longer accepts new features, and the official recommendation for new users is to move to Microsoft Agent Framework, whose successor officially became GA on April 3, 2026.
50%UnverifiedMicrosoft Agent Framework's differentiation lies in enterprise integration, placing more emphasis on connection with the Microsoft ecosystem (Azure, Copilot, etc.).
50%UnverifiedMagentic-One is a general-purpose multi-agent system architecture proposed by Microsoft Research, in which an orchestrator agent is responsible for task planning and progress tracking while several specialized agents collaborate to complete open-ended tasks; it has been integrated into Microsoft Agent Framework as a built-in coordination pattern.
50%UnverifiedThe Responses protocol is a communication protocol supported by the Microsoft Agent Framework that, compared to the Chat Completions protocol, is better suited for stateful multi-turn conversations and streaming output scenarios.
50%UnverifiedAgent framework selection is fundamentally an engineering constraints problem: choose MAF for the Microsoft stack, Google ADK for GCP, Mastra for TS teams, LlamaIndex for data processing, CrewAI for role mapping, OpenAI Agents SDK for minimalist low-level needs, and LangChain for cross-model compatibility.
50%UnverifiedGoogle ADK, Microsoft Agent Framework, CrewAI, LangGraph/LangSmith, and Lyzr Agent Studio all support A2A, but the location of the protocol boundary differs across frameworks.
50%UnverifiedMicrosoft Agent Framework version 1.0 was officially released (GA) in April 2026.
50%