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mem0 vs Zep vs Letta

Three approaches to persistent memory for AI agents: SaaS vs open-source retrieval vs open-source reasoning.

mem0, Zep, and Letta each solve agent memory differently. mem0 is a managed SaaS platform with semantic deduplication, Zep is an open-source long-term memory server you self-host, and Letta is a full agent framework with core memory primitives baked in. Compared on architecture, deployment, memory model, and best-fit use cases.

The contenders

Each pick links through to its full Directories entry.

mem0

not yet in the index

Teams who want memory management as a service with semantic deduplication and multi-tenant isolation.

zep

not yet in the index

Self-hosted deployments where you want a clean memory server with vector storage and retrieval.

O OSS

Letta

by Letta

Stateful agents with first-class memory. The continuation of MemGPT, productionised.

Best for: Teams building the whole agent stack and want memory primitives wired into the framework itself.
Read the full entry

Side by side

Same criteria, three answers. The verdict is opinionated and lives below the table.

Criterion mem0zepLetta
Deployment model Fully managed SaaS, you authenticate and send requestsSelf-hosted or cloud-deployed Docker containerSelf-hosted Python framework, full source control
Memory storage Vector DB + semantic deduplication + automatic summariesPostgres + vector index with configurable summarizationCore to the agent runtime, not a separate service
Setup effort Low: API key + REST calls, minutesMedium: Docker + Postgres + config, hoursMedium: Python env + framework init + agent wiring, hours
Multi-tenancy Built-in, token-scoped per user or orgYou manage per database or per instanceYou manage per agent instance
Memory model Sessions + messages + automatic semantic compressionLong-term memory + working memory + retrieval nodesCore memory + messages + tool calling, tightly integrated
Extensibility Limited to API surface, SDKs for Python/JSOpen source, customizable memory pipelines and indexesFull framework extension, forks and integrations natural
Pricing Usage-based per API call and token storedFree open source, you pay for compute and storageFree open source, you pay for compute and storage
Best for SaaS products where memory is a tenant-facing featureSelf-hosted systems needing a dedicated memory serverBuilding agents where memory is a core design constraint

Verdict

mem0 solves the 'I want to sell memory to my users' problem. It is a managed platform where each user or org gets isolated memory that summarizes over time and deduplicates semantically. You call it via REST API and it handles the vector DB, summarization, and scaling. The tradeoff is you are on their infrastructure and their API contract. Best for SaaS products where memory is a feature your customers understand they are buying.

Zep solves the 'I want to self-host a memory server' problem. It is a clean separation of concerns: your agent talks to a service that manages long-term memory, handles retrieval, and chains retrieval into agentic workflows. You deploy it in your own environment, own the data, and can modify the memory pipeline as your use case evolves. Best for teams who need control, scale their own infra, and want memory as a reusable service other agents can share.

Letta solves the 'I want memory built into my agent framework' problem. It is not a separate service. Memory, tools, and reasoning are one stack. Persistence is automatic, the agent lifecycle is managed for you, and the whole thing runs locally or in a container. Best for teams shipping agents where memory is a design constraint from the start, not a feature bolted on later. For most teams shipping today, the answer is not either or. Use mem0 if memory is a SaaS feature, use Zep if you need a memory server you control, use Letta if you are already in its ecosystem and memory belongs in the agent framework. The three address different architectural questions.

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