Mem0vsWeaviate

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

Weaviate

Vector Databases

Open-source vector database with built-in AI modules

FeatureMem0Weaviate
CategoryAI Agent FrameworksVector Databases
PricingFree (open-source), hosted platform availableFree (open-source) + Cloud
GitHub Stars
More stars
25k
12k
PlatformsLinux, macOS, DockerLinux, Docker, Web
Key Features
  • Long-term memory
  • User preferences
  • Multi-level memory
  • API
  • Self-improving
  • Vector search
  • Hybrid search
  • AI modules
  • GraphQL
  • Multi-tenancy
Pros
  • + Drop-in memory for any AI agent
  • + Automatic relevance scoring
  • + Works with any LLM
  • + Both local and hosted options
  • + Built-in AI modules
  • + Hybrid search capability
  • + GraphQL API
  • + Multi-tenancy
  • + Active development
Cons
  • Adds complexity to agent architecture
  • Hosted version has usage limits
  • Complex configuration
  • Resource heavy
  • Cloud pricing unclear
  • Smaller community than Pinecone
Tags
memoryagentspersonalizationopen-source
vector-dbsearchgraphqlopen-source

Want to compare different tools?

← Back to compare picker

Related Comparisons