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 Sardinewhich 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 Sardine — specs
| Spec | LangGraph | Sardine |
|---|---|---|
| Agent Rank | 68 / 100 (B) | 67 / 100 (B) |
| Autonomy | Autonomous | 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 | Jan 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?
Sardine
Agent Rank
67/ 100
- 自律性
- 9
- 機能
- 8
- 連携
- 6
- 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
Sardine
メリット
- +$145M total (a16z) — top of the agentic financial-crime category
- +Consolidates 11 fraud/KYC/AML vendors into one platform
- +Auto-reviews 40% of monthly applications — major cost reduction
デメリット
- −Enterprise focus — not priced for SMB fintechs
- −Regulatory complexity requires legal review per deployment
- −Best ROI requires existing high-volume transaction flow
Pricing
LangGraph
Sardine
Growth
カスタム
Mid-market fintechs
- +Fraud + AML core agents
- +4 integrations
- +Standard SLA
おすすめ
Enterprise
カスタム
Large banks + fintechs
- +Full agent suite
- +Unlimited integrations
- +Custom rules engine
Sovereign
カスタム
Regulated
- +EU/US data residency
- +On-prem option
- +Dedicated CS
Which one should you pick?
LangGraph
Pick LangGraph if cost is the main constraint or if auditability or self-hosting matters.
Try LangGraph →Sardine
Pick Sardine if its specific capabilities (Tool use, Memory) match what you need.
Try Sardine →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick LangGraph or Sardine in 2026?+
Pick LangGraph if cost is the main constraint or if auditability or self-hosting matters. Pick Sardine if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use LangGraph for primary work and Sardine for the workflows where its specific strengths matter.
What's the price difference between LangGraph and Sardine?+
LangGraph starts at Free · OSS; Sardine 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 Sardine?+
Both LangGraph and Sardine are Autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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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 Sardine
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