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LangGraph vs n8n Agentswhich AI ops agent should you pick in 2026?

LangChain's stateful multi-agent framework — graph-based orchestration with persistence and human-in-the-loop.

⚙️OpsAutonomousOpen source
Multi-agentTool useMemory

Open-source workflow automation with first-class AI agent nodes — self-host or use cloud.

⚙️OpsSemi-autonomousOpen source
Tool useMemoryMulti-agent

LangGraph vs n8n Agents — specs

SpecLangGraphn8n Agents
Agent Rank68 / 100 (B)87 / 100 (S)
AutonomyAutonomousSemi-autonomous
PricingFree · OSSFree · OSS
Open sourceYesYes
CapabilitiesMulti-agent, Tool use, MemoryTool use, Memory, Multi-agent
Integrations3 apps6 apps
VerifiedVerifiedVerified
ReleasedJun 2024Feb 2025

Categories: LangGraphOps · n8n AgentsOps

Agent Rank breakdown

LangGraph
Agent Rank
68/ 100
BB-tier
Autonomie
9
Fähigkeiten
6
Integrationen
2
Preise
10
Reife
7
Verifizierbarkeit
7

Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?

n8n Agents
Agent Rank
87/ 100
SS-tier
Autonomie
8
Fähigkeiten
6
Integrationen
10
Preise
10
Reife
8
Verifizierbarkeit
10

Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?

Pros & cons

LangGraph
n8n Agents
Pros
  • +Strongest OSS workflow automation in 2026 — production-ready at any scale
  • +Self-host keeps proprietary data on your infra
  • +Multi-agent + AI agent nodes are first-class, not bolted on
Cons
  • Steeper learning curve than Zapier
  • Cloud pricing is competitive but self-host operational overhead is real
  • Community support primary; commercial SLA is paid tier

Pricing

LangGraph
n8n Agents
Open source
Kostenlos
Self-host
  • +Apache-2.0 fair-use license
  • +Unlimited workflows
  • +Full agent node support
Empfohlen
Cloud Starter
$20/Mo.
Small teams
  • +Hosted runtime
  • +Active workflows
  • +BYO LLM key supported
Cloud Pro
$50/Mo.
Heavier use
  • +10K executions/mo
  • +Multi-user
  • +Workflow versioning

Which one should you pick?

LangGraph

Pick LangGraph if you want the highest autonomy and the verification loop is in place.

Try LangGraph →
n8n Agents

Pick n8n Agents if your stack spans many tools and integration depth is the constraint.

Try n8n Agents →

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Frequently asked

Should I pick LangGraph or n8n Agents in 2026?+

Pick LangGraph if you want the highest autonomy and the verification loop is in place. Pick n8n Agents if your stack spans many tools and integration depth is the constraint. Most working teams running both can use LangGraph for primary work and n8n Agents for the workflows where its specific strengths matter.

What's the price difference between LangGraph and n8n Agents?+

Both LangGraph and n8n Agents start in the same pricing range (Free · OSS vs Free · OSS). Total cost of ownership depends on your team size and volume — see the TCO calculator for your specific math.

Which is more autonomous, LangGraph or n8n Agents?+

LangGraph is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.

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Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.

Want the real monthly cost at your volume? Run the TCO calculator →
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LangGraph vs n8n Agents (2026): which AI ops agent wins? · AI Agent Rank