Mem0vsMicrosoft AutoGen

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

Mem0

AI Agent Frameworks

Memory layer for AI agents — persistent, searchable, context-aware

Microsoft AutoGen

AI Agent Frameworks

Featured

Framework for building multi-agent conversational AI

FeatureMem0Microsoft AutoGen
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree (open-source), hosted platform availableFree (open-source)
GitHub Stars
25k
More stars
35k
PlatformsLinux, macOS, DockerLinux, macOS, Windows
Key Features
  • Long-term memory
  • User preferences
  • Multi-level memory
  • API
  • Self-improving
  • Multi-agent conversations
  • Code execution
  • Human-in-the-loop
  • Customizable
  • Group chat
Pros
  • + Drop-in memory for any AI agent
  • + Automatic relevance scoring
  • + Works with any LLM
  • + Both local and hosted options
  • + Strong multi-agent conversation support
  • + Code execution built-in
  • + Human-in-the-loop capability
  • + Microsoft backing
  • + Research-grade quality
Cons
  • Adds complexity to agent architecture
  • Hosted version has usage limits
  • Complex API for beginners
  • Heavy dependency tree
  • Documentation could be better
  • Resource intensive
Tags
memoryagentspersonalizationopen-source
multi-agentmicrosoftconversationsopen-source

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