LangGraph vs AWS Bedrock Agents

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

Updated October 2026

LangGraph

LangChain

Agent orchestration framework for reliable AI agents

Open Source

80% verification coverage

AWS Bedrock Agents

Amazon Web Services

Automate multistep tasks with generative AI on Amazon Bedrock

Enterprise

82% 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

LangGraph

Cons

No cons listed yet.

AWS 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

LangGraph

6.9

/ 10

Clear winner

AWS Bedrock Agents

5.4

/ 10

Dimension Breakdown

Ease of Use

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

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

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

Which is better, LangGraph or AWS Bedrock Agents?

Both are strong options. LangGraph is a strong choice, while AWS Bedrock Agents is a strong choice. The best choice depends on your specific use case, budget, and workflow requirements.

Is LangGraph cheaper than AWS Bedrock Agents?

LangGraph starts at free (open_source model). AWS Bedrock Agents starts at free (enterprise model). Use the Cost Calculator above for a detailed estimate.

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". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

Can I use LangGraph and AWS Bedrock Agents together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine LangGraph and AWS Bedrock Agents with other tools and save your AI toolkit.

Does LangGraph or AWS Bedrock Agents have a free plan?

LangGraph is a paid tool. AWS Bedrock Agents is a paid tool. Always verify current pricing directly with the vendor.

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