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Letta Cloud vs LangGraph Platform / LangSmith Deploy
Agent-native side-by-side. Scores are curated estimates on a 0–10 scale. Lock-in: higher = worse. Prefer JTBD picks via /api/decide when choosing for a job.
| Dimension | Letta Cloud | LangGraph Platform / LangSmith Deploy |
|---|---|---|
| Overall | 7.4 | 7.5 |
| Capability fit | 8.0 | 8.4 |
| Price / performance | 7.8 | 6.8 |
| Latency / reliability | 7.2 | 8.0 |
| Developer & agent DX | 8.0 | 8.2 |
| Privacy / data retention | 7.2 | 7.2 |
| Lock-in risk (higher = worse) | 5.5 | 7.2 |
| Maturity / track record | 6.8 | 8.2 |
| Pricing | As of 2026-09-14: Stateful agent runtime (ex-MemGPT). Free tier BYOK + limited agents; Pro ~$20/mo; API plan ~$20/mo + ~$0.10/active agent/mo + tool-exec ~$0.00015/s (secondary/roundup figures as stored then). As of 2026… | As of 2026-09-14: LangGraph OSS free; hosted deployment is LangSmith Deployment. LangSmith Developer free; Plus ~$39/seat/mo with included traces + small serverless deployment, then LCU/LSU usage. Natural if already on L… |
| Tagline | Choose when the agent IS a long-lived stateful runtime. For bolt-on memory use Mem0/Zep. | Deploy here if your graphs already are LangGraph. Otherwise Inngest/Temporal + Langfuse to avoid stack… |
Letta Cloud
Choose when the agent IS a long-lived stateful runtime. For bolt-on memory use Mem0/Zep. Strengths: Agent-owned memory model; OSS + cloud; Identity/stateful agents.
Strengths
- Agent-owned memory model
- OSS + cloud
- Identity/stateful agents
Weaknesses
- More runtime than pure memory API
- Pricing mixes hosting + usage
- Learning curve
LangGraph Platform / LangSmith Deploy
Deploy here if your graphs already are LangGraph. Otherwise Inngest/Temporal + Langfuse to avoid stack lock-in. Strengths: Native LangGraph deploy; Tied to LangSmith traces/evals; Good for graph agents.
Strengths
- Native LangGraph deploy
- Tied to LangSmith traces/evals
- Good for graph agents
Weaknesses
- LangChain ecosystem lock-in
- Seat + usage pricing
- Overkill if not using LangGraph
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