LangGraph vs Letta
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
LangGraph
Open-source graph framework for durable, stateful AI agents
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Letta
Framework and cloud for building stateful AI agents with long-term mem...
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| RECATOOLS Score | 8.3 / 10 | 7 / 10 |
| Capability | — | |
| Value for money | — | |
| Ease of use | — | |
| ASEAN readiness | — | |
| API quality | — | |
| Pricing | Freemium | Freemium |
| Free tier | — | Open-source framework (Apache-2.0) is free to self-host. |
| Paid from | — | Letta Cloud paid usage-based plans for hosted agents. |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | — | 2024 |
| Maker | — | Charles Packer, Sarah Wooders |
| Verdict | LangGraph has genuine production mileage that most agent frameworks can only cite in a blog post: Klarna's customer-support assistant runs on it at 85 million users, Replit Agent's multi-step app-building flow is built o... |
What this is for: Building agents that keep persistent, self-managed memory and state across long-running interactions. Who this is for: Developers who need agents with durable memory rather than stateless prompt-and-re... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.