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Which Mem0 is right for you?

Mem0 offers two powerful ways to add memory to your AI applications. Choose based on your priorities:

Feature Comparison

FeaturePlatformOpen Source
Time to first memory5 minutes15-30 minutes
Infrastructure neededNoneVector DB + Python/Node env
API key setupOne environment variableConfigure LLM + embedder + vector DB
MaintenanceFully managed by Mem0Self-managed
FeaturePlatformOpen Source
User & agent memories
Smart deduplication
Semantic search
Memory updates
Multi-language SDKsPython, JavaScriptPython, JavaScript
FeaturePlatformOpen Source
Graph Memory✅ (Managed)✅ (Self-configured)
Multimodal support
Custom categoriesLimited
Advanced retrieval
Memory filters v2⚠️ (via metadata)
Webhooks
Memory export
FeaturePlatformOpen Source
HostingManaged by Mem0Self-hosted
Auto-scalingManual
High availability✅ Built-inDIY setup
Vector DB choiceManagedQdrant, Chroma, Pinecone, Milvus, +20 more
LLM choiceManaged (optimized)OpenAI, Anthropic, Ollama, Together, +10 more
Data residencyUS (expandable)Your choice
AspectPlatformOpen Source
LicenseUsage-based pricingApache 2.0 (free)
Infrastructure costsIncluded in pricingYou pay for VectorDB + LLM + hosting
SupportIncludedCommunity + GitHub
Best forFast iteration, production appsCost-sensitive, custom requirements
FeaturePlatformOpen Source
REST API✅ (via feature flag)
Python SDK
JavaScript SDK
Framework integrationsLangChain, CrewAI, LlamaIndex, +15Same
Dashboard✅ Web-based
Analytics✅ Built-inDIY

Decision Guide

Choose Platform if you want:

Fast Time to Market

Get your AI app with memory live in hours, not weeks. No infrastructure setup needed.

Production-Ready

Auto-scaling, high availability, and managed infrastructure out of the box.

Built-in Analytics

Track memory usage, query patterns, and user engagement through our dashboard.

Advanced Features

Access to webhooks, memory export, custom categories, and priority support.

Choose Open Source if you need:

Full Data Control

Host everything on your infrastructure. Complete data residency and privacy control.

Custom Configuration

Choose your own vector DB, LLM provider, embedder, and deployment strategy.

Extensibility

Modify the codebase, add custom features, and contribute back to the community.

Cost Optimization

Use local LLMs (Ollama), self-hosted vector DBs, and optimize for your specific use case.

Still not sure?

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