DeerFlow vs LangGraph

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

Data last refreshed August 2026
DeerFlow logo

DeerFlow

ByteDance

An open-source SuperAgent harness that researches, codes, and creates.

Open Source
73% verification coverage
VS
LangGraph logo

LangGraph

LangChain

Agent orchestration framework for reliable AI agents

Open Source
80% verification coverage

Trust & Reliability

DeerFlow

Trust data not available yet

LangGraph

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

Overall Winner: LangGraph

6.9/10 vs DeerFlow at 4.7/10

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

DeerFlow

4.7

avg score

LangGraph

6.9

avg score

LangGraph leads overall — particularly in Support and Compliance & Data Protection and 1 more.

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

DeerFlow

Best For
Developers building production AI workflows
Coding agents needing a robust execution environment

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

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

DeerFlow is best for

🎨Image & Design7.0🎧Customer Support7.0🤖Automation & Agents6.6

LangGraph is best for

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

Filter by your use case:

Limitations

DeerFlowDeerFlow

Cons

  • Improper deployment may introduce security risks
  • Gateway admin is equivalent to code execution
  • Requires outbound isolation for self-hosted fetch backends
LangGraphLangGraph

Cons

No cons listed yet.

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

DeerFlow

4.7

/ 10

LangGraph

6.9

/ 10

Clear winner

Dimension Breakdown

Ease of Use

AI

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

DeerFlow
2.0
LangGraph
3.0▲ +1.0

Customization

Calculated

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

DeerFlow
9.0
LangGraph
10.0▲ +1.0

Support

AI

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

DeerFlow
7.0
LangGraph
10.0▲ +3.0

Integration

Calculated

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

DeerFlow
3.0
LangGraph
4.0▲ +1.0

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

DeerFlow
2.0
LangGraph
8.0▲ +6.0

Performance

Calculated

Latency + throughput speed

DeerFlow
2.0
LangGraph
5.0▲ +3.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

DeerFlow
8.0
LangGraph
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

DeerFlow

Task

LangGraph

7.0
Role Definition
4.0
8.0
Task Decomposition
6.0
7.0
Agent Coordination
8.0
5.0
Inter Agent Communication
7.0
7.0
Workflow Orchestration
9.0
8.0
Tool Use Delegation
7.0
8.0
State Management
10.0
8.0
Error Recovery
8.0
8.0
Observability
9.0
6.0
Scalability Throughput
7.0
8.0
Task Delegation
7.0
7.0
Parallel Execution
7.0

* 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 DeerFlow and LangGraph?
DeerFlow — "An open-source SuperAgent harness that researches, codes, and creates". LangGraph — "Agent orchestration framework for reliable AI agents". The Features section on this page compares them side by side.
Who is DeerFlow best for compared with LangGraph?
DeerFlow is best for Developers building production AI workflows; and for Coding agents needing a robust execution environment. LangGraph is best for Developers building AI agents who need low-level control; and for Engineering teams building stateful, multi-actor LLM applications.
How does the pricing of DeerFlow compare with LangGraph?
DeerFlow is open source, includes a free plan. LangGraph is open source, includes a free plan. Always verify current pricing with the vendor.
Does DeerFlow or LangGraph have a free plan?
DeerFlow is open source. LangGraph is open source. Always verify current pricing with the vendor.
Do DeerFlow and LangGraph offer an API?
DeerFlow offers a public API. LangGraph offers a public API.

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