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Comparison

ZeroDB vs Letta — Which Memory Layer for AI Agents?

Letta (formerly MemGPT) is an agent framework with built-in memory. ZeroDB is pure knowledge infrastructure — no framework required, no server to run, no lock-in.

FeatureZeroDBLetta
Persistent Agent Memory
Vector / Semantic Search
NoSQL Document Storage
SQL / Relational Tables
File Storage (S3-compatible)
Event Streaming
Built-in Free Embeddings
MCP Server Integration
Knowledge Graph + Entity Relationships
Self-Hosted Option
Works Without a Separate Server Process
Framework-Agnostic API
LangChain Integration
LlamaIndex Integration
Zero-Auth Instant Provisioning
Enterprise / Multi-Tenant Support
Agent Framework Lock-In Required
Free Tier

Why teams choose ZeroDB over Letta

No separate server required

Letta (MemGPT) requires running a dedicated stateful server process alongside your agent. ZeroDB is a managed API — call it from any language, any framework, without provisioning or managing additional infrastructure.

Vector search plus full NoSQL in one platform

Letta focuses on in-context memory management using a custom agent architecture. ZeroDB gives you semantic vector search AND NoSQL document storage AND relational tables — all queryable from the same connection string.

No agent framework lock-in

Letta ships its own agent framework. If you're building with LangChain, LlamaIndex, raw OpenAI calls, or a custom stack, ZeroDB integrates without replacing your existing architecture. It's a database, not an agent runtime.

Production-ready enterprise features

ZeroDB includes multi-tenant isolation, role-based access, audit logging, and SLA-backed uptime. Enterprise teams get full data sovereignty with the self-hosted option — no compromises on compliance.

Memory infrastructure that works with any agent framework

No new agent runtime. No server to manage. Just a fast, persistent knowledge layer via API or MCP.

Get started: npx zerodb-cli init