Microsoft AutoGen vs Letta

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

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
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Letta

🔴Developer

AI Agent Framework

Framework and cloud service for building stateful AI agents that remember, learn continuously, and improve over time — the successor to MemGPT.

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Starting Price

Free
Full ReviewVisit Site

Feature Comparison

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FeatureMicrosoft AutoGenLetta
CategoryAI Automation PlatformsAI Agent Framework
Pricing Plans11 tiers327 tiers
Starting PriceFreeFree
Key Features
  • • Multi-agent conversation orchestration with flexible topologies
  • • Built-in observability via OpenTelemetry integration
  • • Cross-language interoperability between Python and .NET
  • • Persistent agents instead of stateless chat sessions
  • • Memory palace for viewing an agent’s memory
  • • Background memory agents / dream agents that refine prompts, context, and skills over time

💡 Our Take

Choose Letta when long-term memory, model-agnostic state, and API-hosted persistent agents matter more than flexible conversation patterns between agents. Choose AutoGen when experimental multi-agent conversation design is the main need.

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

Letta - Pros & Cons

Pros

  • ✓Persistent, editable memory is built into the agent runtime
  • ✓ADE exposes agent state and tool calls for debugging
  • ✓Python, TypeScript, REST, multiple model providers, and MCP offer flexible integration
  • ✓Open-source self-hosting avoids mandatory platform lock-in

Cons

  • ✗Stateful agents add privacy, retention, deletion, and migration responsibilities
  • ✗Cloud plan and model usage can create separate cost layers
  • ✗Memory quality still depends on prompts, models, and application-specific evaluation

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🔒 Security & Compliance Comparison

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Security FeatureMicrosoft AutoGenLetta
SOC2——
GDPR——
HIPAA——
SSO——
Self-Hosted✅ Yes🔀 Hybrid
On-Prem✅ Yes✅ Yes
RBAC——
Audit Log——
Open Source✅ Yes✅ Yes
API Key Auth—✅ Yes
Encryption at Rest——
Encryption in Transit—✅ Yes
Data Residency—not publicly documented
Data Retentionconfigurableconfigurable
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Read the full reviews to make an informed decision

Review Microsoft AutoGenReview Letta