agentboards.org
Compare/LangGraph vs n8n

LangGraphvsn8n

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

LangGraph
LangChain · Agent framework
OSSMCP
Panel
7.6
2 spec wins
Reliability
7.7
Usefulness
7.3
Cost
7.3
Longevity
8.0

“You do not need LangChain to use LangGraph, says the LangChain documentation.”

n8n
n8n GmbH · Agent framework
MCP
Panel
7.4
1 spec wins
Reliability
7.0
Usefulness
7.5
Cost
7.2
Longevity
8.0

“A 2019 workflow tool that discovered agents, which is still earlier than most agent companies discovered revenue.”

Spec by spec

SpecLangGraphn8n
Architecture
CategoryAgent frameworkAgent framework
Runslocal, cloudlocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows, web
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverYesYes
Capabilities
Runs terminal commandsNoNo
Multi-file editsNoNo
Git operationsNoNo
Browser controlYesNot in LangGraph itself: browser control comes from LangChain's own PlayWrightBrowserToolkit (Click, Navigate, ExtractText and related tools) in langchain-community, bound as agent tools. No
Sandboxed executionNoThe first-party langchain-sandbox package gave LangGraph agents a Pyodide/Deno PyodideSandboxTool but was archived in January 2026 with production use discouraged, so nothing current ships. No
Multi-agent orchestrationYesYes
Headless / CI modeYesYes
Models
Backboneany LangChain chat model, OpenAI, Anthropic, Ollamaany
Bring your own modelYesYes
Local modelsYesYes
Cost
Pricing modelbyokmixed
Starts at$0/mon/a
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesNo
LicenseMITSustainable Use License and n8n Enterprise License (fair-code)
GitHub stars42,591206,477

Which one would each critic pick

CriticLangGraphn8nPick
El Juez——not enough reviews
El Amigo7.87.8no preference
El Crítico7.36.8LangGraph — The core is standalone, but local models arrive through LangChain's ChatOllama and MCP through langchain[mcp], so the dependency you were told you did not need is the one that ships the tools.
El Profesor7.57.3LangGraph — Agents are graphs mixing deterministic and model-driven nodes, execution is durable and resumes from persisted state, and memory is split into short-term working and long-term cross-session tiers.
La Inversora7.88.5n8n — Two hundred thousand stars and six years of shipping since 2019 buy distribution nothing in this category can match, with enterprise terms negotiated privately.
La Jefa7.07.3n8n — Cloud tiers run EUR 20, 50 and 667 a month rather than per seat, so sixty people cost the same as six, and the annual commitment is the only friction.
El Hacker8.37.0LangGraph — MIT, pip install -U langgraph, a checkpointer interface I can implement against my own Postgres, Ollama through ChatOllama, MCP tools with one extra install, and the hosted platform is optional.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.