LangGraph vs Letta
A side-by-side comparison of LangGraph and Letta, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
LangGraph
OrchestrationGraph-based agent orchestration. Stateful loops with checkpoints.
View LangGraphAt a glance
| Attribute | LangGraph | Letta |
|---|---|---|
| Category (differs) | Orchestration | Memory |
| Pricing (differs) | FREE | FREEMIUM |
| License (differs) | Open source | Open core |
| Deployment (differs) | — | Hybrid |
| Platforms (differs) | API, CLI | API, CLI, macOS, Windows, Linux |
| Model support (differs) | Model-agnostic | BYO key / model |
| Vendor (differs) | LangChain | Letta |
The honest brief
LangGraph
Durable checkpointed state-graph with human-in-the-loop — long agent runs pause and resume, unlike one-shot chains.
- Durable checkpointed state
- Low-level graph control
- Debuggable long-running agents
- Runs in production at major firms
- Steeper learning curve
- More boilerplate than chains
- Tied to LangChain conventions
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