Agno vs Microsoft AutoGen

Detailed side-by-side comparison to help you choose the right tool

Agno

🔴Developer

AI Agent Frameworks

High-performance Python framework for multi-modal agents and teams, formerly known as Phidata.

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Starting Price

Free
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Microsoft AutoGen

AI Automation Platforms

Microsoft's open-source framework for building multi-agent AI systems with asynchronous, event-driven architecture.

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Starting Price

Free
Full ReviewVisit Site

Feature Comparison

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FeatureAgnoMicrosoft AutoGen
CategoryAI Agent FrameworksAI Automation Platforms
Pricing Plans414 tiers11 tiers
Starting PriceFreeFree
Key Features
  • • Agent, team, and workflow building primitives
  • • AgentOS production runtime with FastAPI backend
  • • Control Plane for monitoring and management
  • • Multi-agent conversation orchestration with flexible topologies
  • • Built-in observability via OpenTelemetry integration
  • • Cross-language interoperability between Python and .NET

Agno - Pros & Cons

Pros

  • ✓Significantly lighter API than LangChain — fewer abstractions to learn
  • ✓First-class multi-modal support (text, image, audio, video) in the base Agent
  • ✓Free, polished Agent UI ships in the repo for instant prototyping
  • ✓Microsecond agent cold-start makes per-request agent instantiation viable
  • ✓Model-agnostic with 20+ providers including Groq, Cerebras, Ollama, and vLLM

Cons

  • ✗Smaller ecosystem and community than LangChain or CrewAI
  • ✗Documentation gaps in advanced team-mode behaviors and edge cases
  • ✗Agno Cloud pricing is opaque ('contact us') — no public tier for serious use
  • ✗Recent rebrand from Phidata means older blog posts and tutorials reference outdated APIs

Microsoft AutoGen - Pros & Cons

Pros

  • ✓MIT-licensed open source with active development
  • ✓Backed by Microsoft Research with strong academic foundations
  • ✓v0.4's async event-driven architecture enables scalable agent systems
  • ✓Native cross-language support for Python and .NET
  • ✓AutoGen Studio provides a no-code interface for rapid prototyping
  • ✓Tight Azure AI Foundry integration for enterprise deployment

Cons

  • ✗Microsoft's agent strategy is evolving; monitor official announcements for roadmap changes
  • ✗v0.4 introduced major breaking changes from v0.2, requiring significant migration effort
  • ✗Steep learning curve compared to simpler frameworks like CrewAI
  • ✗AutoGen Studio is experimental and not production-ready
  • ✗No commercial support tier outside of Azure AI Foundry

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🔒 Security & Compliance Comparison

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Security FeatureAgnoMicrosoft AutoGen
SOC2❌ No—
GDPR✅ Yes—
HIPAA❌ No—
SSO✅ Yes—
Self-Hosted✅ Yes✅ Yes
On-Prem✅ Yes✅ Yes
RBAC✅ Yes—
Audit Log✅ Yes—
Open Source✅ Yes✅ Yes
API Key Auth✅ Yes—
Encryption at Rest✅ Yes—
Encryption in Transit✅ Yes—
Data Residency——
Data Retentionconfigurableconfigurable
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Review AgnoReview Microsoft AutoGen