Langfuse vs LangGraph

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-08
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Langfuse or LangGraph: which should you choose?

DimensionLangfuseLangGraph
PricingFree · from $29/moFree · from $39/seat/mo
Best forAI engineering teams tracing multi-turn chat, coding, or workflow agents in production, Enterprises needing self-hosting, FIPS 140-3 mode, or a US/EU/JP data region for SOC 2, ISO 27001, or HIPAA requirementsBackend and platform engineers shipping stateful agents to production, Teams that need human approval gates inside an agent loop
Standout featuresHierarchical tracing of LLM calls, tool invocations, retrieval, and other API calls · Session tracking for multi-turn chat and agentic workflows · Agent graphs that visualize complex agentic workflowsGraph-based state management for explicit agent control flow · Human-in-the-loop checks to steer and approve agent actions · Built-in memory storing conversation history and context across sessions
Viability score89/10081/100
APIYesYes

Langfuse is the stronger pick for ai engineering teams tracing multi-turn chat, coding, or workflow agents in production; LangGraph fits better for backend and platform engineers shipping stateful agents to production.

Built from live tool data, last verified 2026-11-08.

Langfuse
Langfuse

Open-source LLM observability and agent evals: trace, evaluate, and improve AI agents on one MIT-licensed platform

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LangGraph
LangGraph

LangGraph is a low-level agent orchestration framework for building stateful, controllable AI agents as graphs.

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Pricing
Freemium
Freemium
Plans
HobbyFree
Core$29/mo
Pro$199/mo
Teams (add-on)$300/mo
Enterprise$2,499/mo
DeveloperFree
Plus$39/seat/mo
EnterpriseCustom
Popularity
6.5k views
3.1k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPI
API
Categories
📡 LLM Observability & Evals
🕸️ Agent Frameworks & Orchestration📡 LLM Observability & Evals
FeaturesLangfuseLangGraph
Hierarchical tracing of LLM calls, tool invocations, retrieval, and other API calls
Session tracking for multi-turn chat and agentic workflows
Agent graphs that visualize complex agentic workflows
OpenTelemetry-native SDKs for Python, TypeScript, Go, Java, .NET, Ruby, PHP, and Swift
Langfuse AI Gateway: route OpenAI and Anthropic calls with automatic tracing and cost per user
LLM-as-a-judge evaluators with multi-message prompts and multi-modal inputs
Skill Management for versioned agent skills
Experiment charts that show which metric moved and why, against a baseline
Human annotation queues for human-in-the-loop review and golden datasets
Prompt versioning, labels, one-click deploys, and rollbacks
Prompt composability with server- and client-side prompt caching
Playground for testing prompts on production inputs and comparing models
Halo in-app assistant that investigates traces, builds datasets and dashboards, and takes approved actions
MCP server, CLI, and SKILL.md for connecting IDE coding agents
Scheduled exports of traces and scores to S3, GCS, and Azure blob storage
Graph-based state management for explicit agent control flow
Human-in-the-loop checks to steer and approve agent actions
Built-in memory storing conversation history and context across sessions
First-class token-by-token streaming of reasoning and actions
Single-agent, multi-agent, and hierarchical architectures in one framework
Low-level primitives for fully customizable agent design
Model-agnostic: build and ship with any model provider
MCP support in the open-source stack, including elicitation and the stateless protocol
Agent runtime for orchestrating long-running agent workflows
MIT-licensed open-source library, free to use
IntegrationsLangfuseLangGraph
Slack
LangChain
Vercel AI SDK
LiteLLM
Pydantic AI
Google ADK
CrewAI
LiveKit
OpenAI
Anthropic
Amazon Bedrock
Azure OpenAI
Google Gemini
Cursor
PostHog
OpenRouter
Fireworks
Baseten
Ollama
Azure
AWS Bedrock
HuggingFace

Frequently Asked Questions

Which is better, Langfuse or LangGraph?

The best choice between Langfuse and LangGraph depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Langfuse and LangGraph?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Langfuse or LangGraph?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

What else are Langfuse and LangGraph compared with?

DeepAgents vs LangGraph comparison
LangChain vs Langfuse comparison

If you need deep agent debugging with autonomous failure clustering and fix suggestions, LangSmith is the edge. If you want open-source flexibility, self-hosting, and unified prompt management plus ob

Haystack vs LangGraph comparison
LangGraph vs Vercel AI SDK comparison
LangGraph vs CrewAI vs AutoGen comparison
Langfuse vs LiteLLM comparison

Where can you read more about Langfuse and LangGraph?

Langfuse
View Langfuse reviewLangfuse alternatives
LangGraph
View LangGraph reviewLangGraph alternatives

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Best AI LLM Observability & Evals toolsBest AI Agent Frameworks & Orchestration tools
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Analysis generated by our model pipeline from live data: