Updated March 10, 2026
Letta (formerly MemGPT) is an open-source framework for building AI agents with long-term memory and self-editing capabilities. It implements a virtual context management system that allows LLMs to manage their own memory hierarchy, enabling persistent state, unbounded context, and adaptive memory across conversations.
Mem0 (formerly EmbedChain) is a memory layer for AI applications that gives LLMs and agents persistent, personalized memory. It automatically extracts, stores, and retrieves relevant memories from conversations, enabling AI systems to remember user preferences, past interactions, and context across sessions. Mem0 supports multiple storage backends and integrates with popular LLM frameworks.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
Cons
Choose Letta if you wantChoose if you want
Choose Mem0 if you wantChoose if you want
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.