We build multi-agent AI systems using Microsoft's AutoGen framework — specialized agents that collaborate through conversation to complete complex tasks. From research assistants and code review bots to automated analysis pipelines and decision support systems, AutoGen enables sophisticated multi-agent orchestration with built-in human-in-the-loop capabilities.
We build multi-agent AI systems using Microsoft's AutoGen framework — specialized agents that collaborate through conversation to complete complex tasks. From research assistants and code review bots to automated analysis pipelines and decision support systems, AutoGen enables sophisticated multi-agent orchestration with built-in human-in-the-loop capabilities.
Key capabilities and advantages that make AutoGen Multi-Agent Development the right choice for your project
Design agents that collaborate through structured conversation — each with defined roles, capabilities, and knowledge. AutoGen's conversation-driven approach handles complex multi-step tasks naturally.
Built-in support for human intervention at critical decision points — agents can request approval, clarification, or expert input before proceeding with high-stakes actions.
Agents that write, execute, and debug code in sandboxed environments — enabling data analysis, automation, and tool creation as part of multi-agent workflows.
AutoGen's GroupChat manager coordinates multiple agents working together — managing turn-taking, context sharing, and task delegation across agent teams.
Discover how AutoGen Multi-Agent Development can transform your business
Build agent teams that research topics, gather data, analyze findings, and produce reports — with human review at key checkpoints.
Agents that review code, suggest improvements, write tests, and fix bugs through iterative conversation — with developer approval before changes.
Multi-agent systems for complex business processes — data collection, analysis, document generation, and decision support with human oversight.
Real numbers that demonstrate the power of AutoGen Multi-Agent Development
GitHub Stars
One of the most popular AI agent frameworks
+120% YoY
Microsoft Backing
Developed and maintained by Microsoft Research
Active development
Agent Patterns
Built-in conversation patterns for common multi-agent scenarios
Growing pattern library
Our proven approach to delivering successful AutoGen Multi-Agent Development projects
Define agent roles, capabilities, conversation flows, and human intervention points for your multi-agent system.
Build individual agents with their system prompts, tools, knowledge bases, and code execution capabilities.
Configure GroupChat orchestration, test agent interactions, and validate outputs across diverse scenarios.
Deploy with monitoring, logging, cost tracking, and human escalation workflows for production reliability.
Find answers to common questions about AutoGen Multi-Agent Development
AutoGen excels at conversation-driven agent collaboration with strong human-in-the-loop support — backed by Microsoft Research. CrewAI is simpler for role-based agent teams. LangGraph provides more control over state management and conditional flows. We choose based on your specific orchestration needs.
Let's discuss how we can help you achieve your goals