Letta vs Mem0

Detailed side-by-side comparison to help you choose the right tool

Letta

πŸ”΄Developer

Agent Framework

Stateful agent framework and cloud from the MemGPT team β€” agents that actually remember across sessions.

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Starting Price

Free

Mem0

πŸ”΄Developer

Agent Memory

Persistent memory infrastructure that lets AI applications add, update, and retrieve useful context across sessions.

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Starting Price

$0/month

Feature Comparison

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FeatureLettaMem0
CategoryAgent FrameworkAgent Memory
Pricing Plans3 listed plans4 listed plans
Starting PriceFree$0/month
Key Features
  • β€’ Persistent agents instead of stateless chat sessions
  • β€’ Memory palace for viewing an agent’s memory
  • β€’ Background memory agents / dream agents that refine prompts, context, and skills over time
  • β€’ Persistent user and agent memory across sessions
  • β€’ Add, update, and filtered search through Python and Node.js SDKs
  • β€’ Memory Compression Engine for compact context retrieval

πŸ’‘ Our Take

Choose Letta if you need a full stateful-agent runtime with memory blocks, tools, API deployment, coding-agent workflows, and agent portability. Choose Mem0 if you mainly need a memory layer to plug into an existing agent stack.

Letta - Pros & Cons

Pros

  • βœ“Persistent, editable memory is built into the agent runtime
  • βœ“ADE exposes agent state and tool calls for debugging
  • βœ“Python, TypeScript, REST, multiple model providers, and MCP offer flexible integration
  • βœ“Open-source self-hosting avoids mandatory platform lock-in

Cons

  • βœ—Stateful agents add privacy, retention, deletion, and migration responsibilities
  • βœ—Cloud plan and model usage can create separate cost layers
  • βœ—Memory quality still depends on prompts, models, and application-specific evaluation

Mem0 - Pros & Cons

Pros

  • βœ“Focused add-and-search API can be integrated without building a complete memory pipeline.
  • βœ“Published request limits make cloud capacity and cost easier to estimate.
  • βœ“Free and $19 tiers support prototypes before a larger production commitment.
  • βœ“Enterprise offers on-premises deployment, audit logs, SSO, and SLA support.

Cons

  • βœ—The jump from $19 Starter to $249 Pro is substantial for teams needing graph memory or multiple projects.
  • βœ—Persistent memory creates privacy, consent, retention, and deletion obligations.
  • βœ—Retrieval quality and cross-user isolation must be tested on the buyer's own data.
  • βœ—Mem0 adds a stateful production dependency alongside the model provider and application database.

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πŸ”’ Security & Compliance Comparison

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Security FeatureLettaMem0
SOC2β€”β€”
GDPRβ€”β€”
HIPAAβ€”β€”
SSOβ€”β€”
Self-HostedπŸ”€ Hybridβœ… Yes
On-Premβœ… Yesβœ… Yes
RBACβ€”β€”
Audit Logβ€”β€”
Open Sourceβœ… Yesβœ… Yes
API Key Authβœ… Yesβœ… Yes
Encryption at Restβ€”β€”
Encryption in Transitβœ… Yesβ€”
Data Residencynot publicly documentedβ€”
Data RetentionconfigurableConfigurable by deployment and application design
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