Letta vs Memori
A side-by-side comparison of Letta and Memori, two Memory tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Letta | Memori |
|---|---|---|
| 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 | MemoriLabs |
| 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
Memori
Stores agent memory in ordinary SQL (Postgres/MySQL/SQLite) with one line of code — no separate vector database to run or pay for.
- Persistent memory in standard SQL databases
- LLM-agnostic; bring any provider key
- No vendor lock-in; data stays in your DB
- Dual-mode working + long-term recall
- Younger than Mem0/Zep, smaller ecosystem
- SQL-first design may not suit graph use cases
- Self-hosting means you run the database
When to pick which
Across the signals we compare, Letta and Memori differ on platforms:
- Platforms
- API, CLI, macOS, Windows, Linux · API
Their capability lists differ in recorded depth — compare the full lists above before deciding.