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 Legorawhich 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
LangGraph vs Legora — specs
| Spec | LangGraph | Legora |
|---|---|---|
| Agent Rank | 68 / 100 (B) | 58 / 100 (B) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Free · OSS | Subscription |
| Open source | Yes | No |
| Capabilities | Multi-agent, Tool use, Memory | Tool use, Memory, RAG, Multi-agent |
| Integrations | 3 apps | 4 apps |
| Verified | Verified | — |
| Released | Jun 2024 | Aug 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?
Legora
Agent Rank
58/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 2
- 料金
- 4
- 完成度
- 7
- 検証性
- 6
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
Legora
メリット
- +$5.55B valuation Series D Apr 2026 — largest legal-AI Series D in history
- +Multi-agent collaboration (different agents for different transaction types)
- +Strong UK/EU foothold with Magic Circle firm adoption
デメリット
- −Newer than Harvey in US market — fewer NYC AmLaw 100 case studies
- −Enterprise pricing only — no associate-level self-serve
- −Best suited for transactional law (M&A, finance) — less for litigation
Pricing
LangGraph
Legora
Standard
カスタム
Boutique firms
- +Contract review agent
- +Due diligence
- +Word + SharePoint
おすすめ
Enterprise
カスタム
Mid + large firms
- +Multi-agent workflows
- +iManage/NetDocs sync
- +Advanced security
Sovereign
カスタム
Magic Circle
- +EU/US/UK data residency
- +BYO LLM option
- +Dedicated tenants
Which one should you pick?
LangGraph
Pick LangGraph if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.
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Frequently asked
Should I pick LangGraph or Legora in 2026?+
Pick LangGraph if cost is the main constraint or if you want the highest autonomy and the verification loop is in place. Pick Legora if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use LangGraph for primary work and Legora for the workflows where its specific strengths matter.
What's the price difference between LangGraph and Legora?+
LangGraph starts at Free · OSS; Legora starts at Subscription. LangGraph is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, LangGraph or Legora?+
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.
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 Legora
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