RasavsMicrosoft AutoGen

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Rasa

Chatbot Builders

Open-source framework for building conversational AI

Microsoft AutoGen

AI Agent Frameworks

Featured

Framework for building multi-agent conversational AI

FeatureRasaMicrosoft AutoGen
CategoryChatbot BuildersAI Agent Frameworks
PricingFree (open-source) + EnterpriseFree (open-source)
GitHub Stars
19k
More stars
35k
PlatformsLinux, macOS, DockerLinux, macOS, Windows
Key Features
  • NLU
  • Dialogue management
  • Custom actions
  • Multi-channel
  • On-premise
  • Multi-agent conversations
  • Code execution
  • Human-in-the-loop
  • Customizable
  • Group chat
Pros
  • + Full control and customization
  • + On-premise deployment
  • + Production-grade reliability
  • + Strong NLU engine
  • + Open-source core
  • + Strong multi-agent conversation support
  • + Code execution built-in
  • + Human-in-the-loop capability
  • + Microsoft backing
  • + Research-grade quality
Cons
  • Steep learning curve
  • Requires ML knowledge
  • Resource intensive
  • Enterprise features are paid
  • Complex API for beginners
  • Heavy dependency tree
  • Documentation could be better
  • Resource intensive
Tags
conversationalnlpopen-sourceenterprise
multi-agentmicrosoftconversationsopen-source

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