Letta vs memU
A side-by-side comparison of Letta and memU, two Memory tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
The honest brief
Letta
The productized MemGPT successor — agents edit their own memory blocks (memory-as-OS) to manage a finite context window.
- Self-editing agent memory
- Open source, model-agnostic
- REST APIs + multi-language SDKs
- Reference architecture for memory
- Developer-focused, not no-code
- Memory model has a learning curve
- Younger, evolving framework
memU
Stores memories as a hierarchical file system rather than only vector embeddings, cutting context tokens roughly 10x for always-on agents.
- Built for proactive, always-on agents
- Semantic recall via vector indexing
- Self-host or hosted cloud API
- Multimodal memory ingestion
- Younger project, evolving API
- Smaller ecosystem than vector DBs
- Hosted pricing details limited