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LangGraph Platform / LangSmith Deploy vs Inngest
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 | LangGraph Platform / LangSmith Deploy | Inngest |
|---|---|---|
| Overall | 7.5 | 8.1 |
| Capability fit | 8.4 | 8.2 |
| Price / performance | 6.8 | 8.0 |
| Latency / reliability | 8.0 | 8.4 |
| Developer & agent DX | 8.2 | 9.0 |
| Privacy / data retention | 7.2 | 7.8 |
| Lock-in risk (higher = worse) | 7.2 | 4.2 |
| Maturity / track record | 8.2 | 7.8 |
| Pricing | 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… | As of 2026-09-14: Hobby $0 (50k executions); Pro from $99/mo (1M executions, PAYG to 20M); Enterprise custom. OSS self-host available. Step functions with retries, fan-out, and observability aimed at event-driven agents. |
| Tagline | Deploy here if your graphs already are LangGraph. Otherwise Inngest/Temporal + Langfuse to avoid stack… | Best DX default for durable agent workflows in TypeScript/Python. Temporal when you need harder multi-lang… |
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
Inngest
Best DX default for durable agent workflows in TypeScript/Python. Temporal when you need harder multi-lang scale. Strengths: Great DX for durable steps; Fair free tier; OSS escape hatch.
Strengths
- Great DX for durable steps
- Fair free tier
- OSS escape hatch
Weaknesses
- Less multi-language maturity than Temporal
- Execution pricing to model
- Younger at extreme scale
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