AutoGen
Featured Open SourceMicrosoft's framework for multi-agent AI conversation and automation
AutoGen (by Microsoft) enables developers to create LLM applications using multiple agents that can converse, delegate tasks, and collaborate. It supports complex agent topologies including human proxy agents and code-executing agents.
Product Overview
Use Cases
- Code Generation
- Task Automation
- Scientific Research
- Enterprise AI Workflows
Ideal For
Architecture Fit
Technical Details
- Deployment Model
- self-hosted
- LLM Providers
- OpenAIAzure OpenAIAnthropicGemini
Add Reference or Discussion Note
You can leave a discussion note on this product page. The product owner adds new reference links.
Community Feedback
Loading…
Login to leave feedback on this product.
More tools in AI Agents
View all →
Velokey
Build with leading text, image, and video models on one reliable, cost-effective API platform. Switch models without rebuilding integrations, and pay only for what you use.
NL-2-SQL-Agent
a natural language agent that connects to a SQL database, learns schema + domain context, and answers questions using a ReAct SQL loop.
Pydantic AI
Production-grade AI agent framework built by the Pydantic team
Semantic Kernel
Microsoft's SDK for integrating LLMs into apps with plugins and planners
LangGraph
Build stateful, multi-actor AI agent applications with graph-based workflows
LlamaIndex
Data framework for building RAG and agentic AI applications