ChromaDBvsLetta

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

ChromaDB

Vector Databases

Open-source embedding database for AI applications

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

FeatureChromaDBLetta
CategoryVector DatabasesAI Agent Frameworks
PricingFree (open-source)Free (open-source) + Cloud
GitHub Stars
More stars
16k
13k
PlatformsLinux, macOS, Windows, DockerLinux, macOS, Docker
Key Features
  • Vector search
  • Embeddings
  • Python/JS SDK
  • Simple API
  • Local + cloud
  • Long-term memory
  • Stateful agents
  • Tool use
  • Multi-model
  • Self-editing memory
Pros
  • + Simplest API of any vector DB
  • + Python + JavaScript SDKs
  • + In-memory or persistent storage
  • + Great for prototyping
  • + Open-source
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
Cons
  • Not ideal for massive scale
  • Limited query capabilities vs Qdrant
  • No built-in clustering
  • Young project
  • Complex memory management
  • Performance overhead
  • Rebranding confusion
  • Still experimental
Tags
vector-dbembeddingsragopen-source
memorystatefulagentsopen-source

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