Letta vs Supermemory
A side-by-side comparison of Letta and Supermemory, two Memory tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Letta | Supermemory |
|---|---|---|
| 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 | Supermemory |
| 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
Supermemory
MIT-licensed memory engine you self-host or call as a managed API — one recall endpoint across any model.
- MIT-licensed, self-host or managed
- Single recall API across any model
- Connectors: Drive, Gmail, Notion
- Ships MCP server and SDKs
- Younger project, evolving API
- Smaller track record than peers
- Self-hosting needs infra work
When to pick which
Both cover Agent memory.
Pick Letta if you need Agent framework, Tool / function calling, Multi-agent orchestration, and App / agent deployment.
- Agent framework (primary capability)
- Tool / function calling (secondary capability)
- Multi-agent orchestration (secondary capability)
- App / agent deployment (secondary capability)
Pick Supermemory if you need MCP server, Vector search, RAG pipeline, and Document parsing (structured).
- MCP server (secondary capability)
- Vector search (secondary capability)
- RAG pipeline (secondary capability)
- Document parsing (structured) (secondary capability)
They also differ on:
- Platforms
- API, CLI, macOS, Windows, Linux · API, Web