Microsoft AutoGen / Agent Framework
Microsoft AutoGen and its successor, Microsoft Agent Framework, support applications built from agents and coordinated execution. The skill includes understanding AutoGen's conversational agent abstractions and the successor's explicit workflows and state facilities, while checking migration differences instead of treating the two libraries as interchangeable APIs.
What it is
AutoGen developed abstractions for agents that communicate through messages and cooperate on tasks, with layers for agent applications and event-driven infrastructure. Microsoft Agent Framework combines ideas from AutoGen and Semantic Kernel and adds workflow-oriented orchestration and state management. The Atlas label covers this related lineage, not one unchanging package. Multi-agent conversation and an explicit workflow can realize similar tasks but differ in control semantics. A practitioner must identify which library and version an example uses, how tools execute and where state lives. The successor relationship does not imply that an existing AutoGen application can change imports without architectural review.
What the work involves
The practitioner chooses the relevant framework for new development or inventories an existing AutoGen application's messages, tools and coordination behavior before migration. They map state, human decisions and termination conditions to the target interfaces. Useful outputs include a versioned implementation and regression tasks comparing observable behavior. Tests should cover tool failures, handoffs and interrupted runs. The framework's telemetry can aid inspection, but acceptance still depends on task results and correct external effects rather than the number of agent messages exchanged.
Illustrative example
A team migrates a research-and-review pair from AutoGen to Agent Framework. It identifies the old stopping rule, context transfer and tool execution policy, then implements equivalent boundaries using the successor's supported agent and workflow components. A test pauses for human review and restarts execution. The migration is accepted only when both versions preserve source references, respect the same tool permissions and report incomplete work consistently on the regression tasks.
Limits and common mistakes
Older tutorials may describe APIs or execution models that differ from the current successor. Agent conversations can grow without progress, while explicit workflows can still encode flawed decisions. Migration should preserve behavior intentionally rather than assuming conceptual continuity provides compatibility. Quality requires pinned versions, inspected traces and tested state recovery. Neither framework makes multiple agents inherently more reliable; their value depends on the coordination, task contracts and application controls built with them.
Prerequisites
Related skills
- → is an instance of: Agent Frameworks
Sources and further reading
- AutoGen documentation
Describes AutoGen's agent application and multi-agent communication components.
- Microsoft Agent Framework overview
Identifies Agent Framework as the successor combining AutoGen and Semantic Kernel concepts with explicit workflows and state management.
Last updated: 2026-10-10