Microsoftのオープンソース Multi-agent フレームワーク — 専門化されたエージェント間の会話をオーケストレーションします。
マルチエージェントツール利用コード実行メモリ
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.
Multi-agentTool useMemory
Open-source workflow automation with first-class AI agent nodes — self-host or use cloud.
Tool useMemoryMulti-agent
LangGraph vs n8n Agents — specs
| Spec | LangGraph | n8n Agents |
|---|---|---|
| Agent Rank | 68 / 100 (B) | 87 / 100 (S) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Free · OSS | Free · OSS |
| Open source | Yes | Yes |
| Capabilities | Multi-agent, Tool use, Memory | Tool use, Memory, Multi-agent |
| Integrations | 3 apps | 6 apps |
| Verified | Verified | Verified |
| Released | Jun 2024 | Feb 2025 |
Agent Rank breakdown
LangGraph
Agent Rank
68/ 100
- 自律性
- 9
- 機能
- 6
- 連携
- 2
- 料金
- 10
- 完成度
- 7
- 検証性
- 7
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
n8n Agents
Agent Rank
87/ 100
- 自律性
- 8
- 機能
- 6
- 連携
- 10
- 料金
- 10
- 完成度
- 8
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
LangGraph
n8n Agents
メリット
- +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
デメリット
- −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
無料
Self-host
- +Apache-2.0 fair-use license
- +Unlimited workflows
- +Full agent node support
おすすめ
Cloud Starter
$20/月
Small teams
- +Hosted runtime
- +Active workflows
- +BYO LLM key supported
Cloud Pro
$50/月
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 →Affiliate links. We may earn a commission at no extra cost to you.
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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役割ベースの自律AIエージェントを協調チームとしてオーケストレーションするオープンソースフレームワーク。
マルチエージェントツール利用メモリDemo · hover to playOpenAIの軽量 Multi-agent リファレンス実装 — ハンドオフとルーティンパターンを採用した教育向けツール。
マルチエージェントツール利用
Demo · hover to play
See more alternatives: alternatives to LangGraph · alternatives to n8n Agents
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