AutoGen AI Agent Agencies

An AutoGen agency specializes in building multi-agent AI systems using Microsoft's AutoGen framework. They design conversational agent workflows where multiple AI agents coordinate through structured message passing to complete complex tasks — particularly code generation, data analysis, and technical problem solving.

AutoGen excels at code-heavy workflows: automated code generation, data analysis with code execution, software engineering assistance, and any task that benefits from an assistant-critic dynamic where one agent proposes and another critiques or executes. Its async architecture also makes it suitable for high-throughput enterprise systems.

AutoGen models agents as conversational participants who exchange messages — coordination emerges from the conversation. CrewAI models agents as team members with defined roles working through explicit tasks. AutoGen is stronger for code-generation and iterative refinement workflows; CrewAI is stronger for structured content and research pipelines.

Yes — AutoGen has stronger .NET/C# support than any other major AI agent framework, making it the natural choice for teams building in Microsoft ecosystems. Python remains the primary language but .NET integration is a genuine differentiator.

Ask which version of AutoGen they use (0.4 with async core is significantly more capable than 0.2), how they configure agent communication patterns, what their code execution sandbox looks like, and whether they have experience with AutoGen Studio for workflow visualization.