Letta vs Memobase
A side-by-side comparison of Letta and Memobase, two Memory tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Letta | Memobase |
|---|---|---|
| Category | Memory | Memory |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | API, CLI, macOS, Windows, Linux | API |
| Model support | BYO key / model | BYO key / model |
| Vendor (differs) | Letta | Memobase |
| 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
Memobase
Models memory as a structured user profile plus timestamped event timeline — tops LOCOMO temporal-reasoning (~85%).
- Distills chats, not raw embeddings
- Strong temporal-reasoning benchmark
- Low-latency on FastAPI/Postgres/Redis
- Python/Node/Go SDKs + MCP server
- Smaller community than mem0/Zep
- Profile schema needs upfront design
- Less production-server tooling than Zep
- Newer, less battle-tested
When to pick which
Across the signals we compare, Letta and Memobase differ on platforms:
- Platforms
- API, CLI, macOS, Windows, Linux · API
Their capability lists differ in recorded depth — compare the full lists above before deciding.