WeaviatevsLetta

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

Weaviate

Vector Databases

Open-source vector database with built-in AI modules

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

FeatureWeaviateLetta
CategoryVector DatabasesAI Agent Frameworks
PricingFree (open-source) + CloudFree (open-source) + Cloud
GitHub Stars
12k
More stars
13k
PlatformsLinux, Docker, WebLinux, macOS, Docker
Key Features
  • Vector search
  • Hybrid search
  • AI modules
  • GraphQL
  • Multi-tenancy
  • Long-term memory
  • Stateful agents
  • Tool use
  • Multi-model
  • Self-editing memory
Pros
  • + Built-in AI modules
  • + Hybrid search capability
  • + GraphQL API
  • + Multi-tenancy
  • + Active development
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
Cons
  • Complex configuration
  • Resource heavy
  • Cloud pricing unclear
  • Smaller community than Pinecone
  • Complex memory management
  • Performance overhead
  • Rebranding confusion
  • Still experimental
Tags
vector-dbsearchgraphqlopen-source
memorystatefulagentsopen-source

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