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Botpress vs AutoGen

BotpressAutoGen

Bottom line: Botpress for teams building cloud-hosted AI agents; AutoGen for teams already running AutoGen in production.

An all-in-one platform for building and deploying LLM-powered AI agents.

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Microsoft's multi-agent conversation framework (now in maintenance mode).

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Votes00
PricingFreemiumFree
CategoryAgent FrameworksAgent Frameworks
Tags
ai-agentschatbot-builderllmopen-source
agentsmulti-agentopen-sourcemicrosoftorchestration
Best for
  • Teams building cloud-hosted AI agents
  • Multi-channel chatbots
  • Developers adding conversational AI via APIs
  • Teams already running AutoGen in production
  • Researchers studying multi-agent systems
  • Developers prototyping agent collaboration
Pros
  • Cloud-first platform focused on LLM-powered AI agents
  • Visual studio for designing agent logic
  • Knowledge bases for grounding answers
  • Multi-channel deployment across web, WhatsApp, Slack, and Telegram
  • APIs and multi-language support
  • Pioneered accessible multi-agent conversation patterns
  • Free and open source
  • Backed by Microsoft Research with strong documentation
  • 0.4 architecture is asynchronous and more observable
  • Works with many model providers
Cons
  • Cloud AI Spend is billed separately, complicating cost
  • Message overages can add up quickly
  • Self-hosting (v12) is sunset, cloud-first only for new builds
  • Steeper learning curve for non-developers
  • Higher tiers get expensive at scale
  • In maintenance mode as of 2026, no new feature focus
  • Microsoft steers new projects to the Agent Framework
  • Multiple version lines (0.2 vs 0.4/0.7) cause confusion
  • Multi-agent loops can be hard to control and cost-predict
  • Less enterprise tooling than the successor framework

Comparison generated from each tool's listing. Add or remove tools above to change it.