Langfuse vs LangGraph comparison
Compare Langfuse and LangGraph in Developer / Infra item by item — price, plans, specs, Korean support, and commercial-use availability. In the table below, use Show differences only to filter to just the differing rows.
Open-source LLM observability platform
An open-source LLM observability platform offering tracing, evaluation, prompt management, and cost tracking for LLM applications. It integrates with OpenTelemetry, LangChain, the OpenAI SDK, LiteLLM, and more to monitor production AI apps.
Edge vs. similar tools: Its strength is the ability to self-host the MIT-licensed core, running tracing, evaluation, and prompt management without your data ever leaving your environment.
Stateful AI agent orchestration
An open-source orchestration framework for designing and deploying long-running, stateful AI agents as graph structures. With state persistence, human-in-the-loop, and short- and long-term memory, it controls complex multi-step agent workflows.
Edge vs. similar tools: Its advantage is graph-based state persistence that enables pause-and-resume, rollback, and audit trails, making it strong for production agents.
Item-by-item comparison
Pricing
- Free plan
- Yes
- Cheapest paid
- from $29/mo
- Plans
- 3
Cross-cutting
- Korean
- Not supported
- API
- Yes
- Commercial use
- Allowed
Pricing
- Free plan
- Yes
- Cheapest paid
- Free
- Plans
- 2
Cross-cutting
- Korean
- Not supported
- API
- Yes
- Commercial use
- Allowed
Langfuse vs LangGraph: which should you choose?
- Langfuse and LangGraph can be started for free, so you can see the results first without signing up.
- The overall AI Score is higher for LangGraph (Langfuse 85 vs LangGraph 89). If you prioritize output quality, LangGraph is ahead.