Enterprise agent platform with prebuilt vertical agents for banking, healthcare, and retail.
ツール利用音声メモリRAG
Demo · hover to playCognigy vs LangGraphwhich AI support agent should you pick in 2026?
Forrester Wave Leader 2026 — enterprise voice and chat agent platform (now NiCE Cognigy).
Tool useVoiceMemoryRAG
Cognigy vs LangGraph — specs
| Spec | Cognigy | LangGraph |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 68 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription | Free · OSS |
| Open source | No | Yes |
| Capabilities | Tool use, Voice, Memory, RAG, Multi-agent | Multi-agent, Tool use, Memory |
| Integrations | 5 apps | 3 apps |
| Verified | — | Verified |
| Released | Mar 2025 | Jun 2024 |
Agent Rank breakdown
Cognigy
Agent Rank
73/ 100
- 自律性
- 9
- 機能
- 10
- 連携
- 8
- 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?
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?
Pros & cons
Cognigy
メリット
- +Forrester Wave Leader 2026 — highest combined score in Conversational AI
- +Strong voice + chat parity (most competitors are stronger on one channel)
- +Now part of NiCE — deep contact-center stack integration with existing CCaaS
デメリット
- −Enterprise-only — no SMB self-serve
- −Steep learning curve for low-code authoring
- −Long implementation timelines (3-6 months typical for full rollouts)
LangGraph
Pricing
Cognigy
Standard
カスタム
Mid-market
- +Pre-built support agents
- +Voice + chat
- +5 integrations
おすすめ
Enterprise
カスタム
Large orgs
- +Unlimited integrations
- +Multi-agent orchestration
- +On-prem option
Sovereign
カスタム
Regulated
- +EU/US data residency
- +BYO LLM
- +Dedicated tenant
LangGraph
Which one should you pick?
Cognigy
Pick Cognigy if its specific capabilities (Tool use, Voice) match what you need.
Try Cognigy →LangGraph
Pick LangGraph if cost is the main constraint or if auditability or self-hosting matters.
Try LangGraph →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Cognigy or LangGraph in 2026?+
Pick Cognigy if its specific capabilities (Tool use, Voice) match what you need. Pick LangGraph if cost is the main constraint or if auditability or self-hosting matters. Most working teams running both can use Cognigy for primary work and LangGraph for the workflows where its specific strengths matter.
What's the price difference between Cognigy and LangGraph?+
Cognigy starts at Subscription; LangGraph starts at Free · OSS. 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, Cognigy or LangGraph?+
Both Cognigy and LangGraph are Autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
Readers comparing Cognigy and LangGraph also picked
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
- Demo · hover to play
コールセンター向けエンタープライズ音声アシスタント — 自然な会話で顧客対応を完結。
音声ツール利用メモリRAGDemo · hover to playAIカスタマーサービスエージェント — チャット・メール・音声を横断してチケットを解決し、測定可能な自動解決率を実現します。
RAGツール利用メモリ音声Demo · hover to play
See more alternatives: alternatives to Cognigy · alternatives to LangGraph
Want the real monthly cost at your volume? Run the TCO calculator →
← Build your own comparison