Letta (formerly MemGPT) vs LangMem

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

Letta (formerly MemGPT)

🔴Developer

AI Knowledge Tools

Revolutionary AI memory platform that solves the context window problem by giving AI agents persistent, unlimited memory that learns and evolves over time, enabling truly stateful conversations and document analysis beyond traditional LLM limitations.

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Starting Price

Free

LangMem

🔴Developer

AI Knowledge Tools

LangChain memory primitives for long-horizon agent workflows.

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Starting Price

Free

Feature Comparison

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FeatureLetta (formerly MemGPT)LangMem
CategoryAI Knowledge ToolsAI Knowledge Tools
Pricing Plans8 tiers11 tiers
Starting PriceFreeFree
Key Features
  • Persistent memory across sessions
  • Virtual context management
  • Self-editing memory agents
  • Workflow Runtime
  • Tool and API Connectivity
  • State and Context Handling

Letta (formerly MemGPT) - Pros & Cons

Pros

  • Solves the fundamental context window limitation of traditional LLMs
  • True persistent memory that enables long-term agent relationships
  • Transparent memory management with user control and visibility
  • Model-agnostic architecture supporting all major LLM providers
  • Both cloud-hosted and self-hosted deployment options
  • Strong API and SDK support for developers
  • Unique memory palace visualization for understanding agent cognition
  • Continuous learning and improvement capabilities

Cons

  • Requires technical knowledge for setup and configuration
  • Memory management complexity can be overwhelming for beginners
  • Self-hosted deployment requires ongoing maintenance
  • Usage costs can accumulate with heavy memory operations
  • Smaller ecosystem compared to established frameworks like LangChain
  • Learning curve for developers used to stateless systems

LangMem - Pros & Cons

Pros

  • Three-type memory model (semantic, episodic, procedural) is more sophisticated and cognitively grounded than flat fact extraction
  • Native integration with LangGraph means memory operations participate in state management and checkpointing
  • Procedural memory that modifies agent behavior based on learned patterns is a unique and powerful capability
  • Open-source with no external service dependency — memories stored in LangGraph's own persistent store

Cons

  • Tightly coupled to the LangGraph ecosystem — minimal value if you're not using LangGraph
  • Documentation is sparse and APIs are still evolving — expect breaking changes
  • Newer and less battle-tested than standalone memory products like Mem0 or Zep

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🔒 Security & Compliance Comparison

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Security FeatureLetta (formerly MemGPT)LangMem
SOC2
GDPR
HIPAA
SSO
Self-Hosted✅ Yes
On-Prem✅ Yes
RBAC
Audit Log
Open Source✅ Yes
API Key Auth✅ Yes
Encryption at Rest
Encryption in Transit
Data Residency
Data Retentionconfigurable
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