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
| Attribute | Letta | memU |
|---|---|---|
| Category | Memory | Memory |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | API, CLI, macOS, Windows, Linux | API, Web |
| Model support (differs) | BYO key / model | Model-agnostic |
| Vendor (differs) | Letta | NevaMind AI |
| Capabilities (differs) |
|
|
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
When to pick which
Across the signals we compare, Letta and memU differ on platforms:
- Platforms
- API, CLI, macOS, Windows, Linux · API, Web
Their capability lists differ in recorded depth — compare the full lists above before deciding.