LangGraph vs AWS Bedrock Agents

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Data last refreshed August 2026
LangGraph logo

LangGraph

LangChain

Agent orchestration framework for reliable AI agents

Open Source
80% verification coverage
VS
AWS Bedrock Agents logo

AWS Bedrock Agents

Amazon Web Services

Automate multistep tasks with generative AI on Amazon Bedrock

Enterprise
83% verification coverage

Trust & Reliability

LangGraph

Uptime:99.93%Status page
Users:100K-1M
Customers (per vendor):Klarna, Vanta, Rippling +7
GDPR
SOC 2
HIPAA

AWS Bedrock Agents

Customers (per vendor):Bundesliga, Epsilon, Robinhood
GDPR
SOC 2
HIPAA

Overall Winner: LangGraph

6.9/10 vs AWS Bedrock Agents at 5.4/10

Leads in:
Customization
Support
Compliance & Data Protection

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

AI Comparison Summary

LangGraph

6.9

avg score

AWS Bedrock Agents

5.4

avg score

LangGraph leads overall — particularly in Customization and Support and 1 more.

AWS Bedrock Agents has an edge in Integration.

Based on 7 dimensions

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Overall Winner

LangGraph

6.9 / 10

LangGraph

Best For
Developers building AI agents who need low-level control
Engineering teams building stateful, multi-actor LLM applications
Developers who need human-in-the-loop moderation and control over an agent's execution
Teams needing to debug and monitor agent runs with detailed step-by-step tracing

AWS Bedrock Agents

Best For
AWS customers automating multistep tasks with generative AI
Teams connecting agents to company systems, APIs and data sources
Businesses using multiple specialized agents on complex challenges

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

LangGraph is best for

🤖Automation & Agents7.5📊Data & Analytics7.0💻Coding & Dev6.0

AWS Bedrock Agents is best for

📊Data & Analytics7.0🤖Automation & Agents6.4🔍Research3.7

Filter by your use case:

Limitations

LangGraphLangGraph

Cons

No cons listed yet.

AWS Bedrock AgentsAWS Bedrock Agents

Cons

  • Amazon Bedrock Agents Classic is no longer available to new customers
Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5
Customization5
Support5
Integration5
Compliance & Data Protection5
Performance5
Planning Quality5

Dimension Comparison

Ease of UseCustomizationSupportIntegrationCompliancePerformancePlanning

LangGraph

6.9

/ 10

Clear winner

AWS Bedrock Agents

5.4

/ 10

Dimension Breakdown

Ease of Use

AI

How intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?

LangGraph
3.0
AWS Bedrock Agents
3.0

Customization

Calculated

How much can users tailor workflows, settings, prompts, or outputs to their needs?

LangGraph
10.0▲ +5.0
AWS Bedrock Agents
5.0

Support

AI

How strong is the documentation, customer support, community, and learning resources?

LangGraph
10.0▲ +5.0
AWS Bedrock Agents
5.0

Integration

Calculated

How well does it connect with other tools, APIs, and workflows?

LangGraph
4.0
AWS Bedrock Agents
6.0▲ +2.0

Compliance & Data Protection

Calculated

Compliance certifications and data-protection posture, counted from ten verified signals: SOC 2 Type II, GDPR compliance, HIPAA, WCAG AA/AAA, PII redaction, licensed-only training, a published sub-processor list, a downloadable DPA, not training on user data, and a documented deletion path

LangGraph
8.0▲ +2.0
AWS Bedrock Agents
6.0

Performance

Calculated

Latency + throughput speed

LangGraph
5.0
AWS Bedrock Agents
5.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

LangGraph
8.0
AWS Bedrock Agents
8.0

Calculated = derived from structured signals (integration count, API/open-source config, compliance certs, response-time). AI = LLM-assessed from public website content. Methodology

Task Performance

LangGraph

Task

AWS Bedrock Agents

4.0
Role Definition
8.0
6.0
Task Decomposition
8.0
8.0
Agent Coordination
8.0
7.0
Inter Agent Communication
6.0
9.0
Workflow Orchestration
8.0
7.0
Tool Use Delegation
8.0
10.0
State Management
7.0
8.0
Error Recovery
4.0
9.0
Observability
8.0
7.0
Scalability Throughput
8.0
7.0
Task Delegation
8.0
7.0
Parallel Execution
3.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

What are the main differences between LangGraph and AWS Bedrock Agents?
LangGraph — "Agent orchestration framework for reliable AI agents". AWS Bedrock Agents — "Automate multistep tasks with generative AI on Amazon Bedrock". The Features section on this page compares them side by side.
Who is LangGraph best for compared with AWS Bedrock Agents?
LangGraph is best for Developers building AI agents who need low-level control; and for Engineering teams building stateful, multi-actor LLM applications. AWS Bedrock Agents is best for AWS customers automating multistep tasks with generative AI; and for Teams connecting agents to company systems, APIs and data sources.
How does the pricing of LangGraph compare with AWS Bedrock Agents?
LangGraph is open source, includes a free plan. AWS Bedrock Agents is enterprise-priced (custom quote). Always verify current pricing with the vendor.
Does LangGraph or AWS Bedrock Agents have a free plan?
LangGraph is open source. AWS Bedrock Agents does not list a free plan in our data. Always verify current pricing with the vendor.
Do LangGraph and AWS Bedrock Agents offer an API?
LangGraph offers a public API. AWS Bedrock Agents offers a public API.

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