LangGraph vs Corellis

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
Corellis logo

Corellis

Lobster Organization

Scale One AI Agent Into a Self-Coordinating Fleet

Open Source
71% verification coverage

Trust & Reliability

LangGraph

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

Corellis

Trust data not available yet

Overall Winner: LangGraph

6.9/10 vs Corellis at 4.9/10

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

Corellis

4.9

avg score

LangGraph leads overall — particularly in Customization and Support 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

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

Corellis

Best For
Engineering teams replacing in-house agent orchestrators with a maintained open-source stack
Organizations scaling AI assistants into coordinated, self-improving fleets
Teams needing persistent AI agents with shared knowledge and collective memory
Developers building general-purpose AI workforces for ops, marketing, research, and finance

* 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

Corellis is best for

🤖Automation & Agents7.9

Filter by your use case:

Limitations

LangGraphLangGraph

Cons

No cons listed yet.

CorellisCorellis

Cons

  • Requires Docker for deployment and operation
  • Self-hosted deployment requires technical expertise
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

Corellis

4.9

/ 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▲ +1.0
Corellis
2.0

Customization

Calculated

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

LangGraph
10.0▲ +6.0
Corellis
4.0

Support

AI

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

LangGraph
10.0▲ +4.0
Corellis
6.0

Integration

Calculated

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

LangGraph
4.0
Corellis
4.0

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▲ +3.0
Corellis
5.0

Performance

Calculated

Latency + throughput speed

LangGraph
5.0
Corellis
5.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

LangGraph
8.0
Corellis
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

Corellis

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

* 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 Corellis?
LangGraph — "Agent orchestration framework for reliable AI agents". Corellis — "Scale One AI Agent Into a Self-Coordinating Fleet". The Features section on this page compares them side by side.
Who is LangGraph best for compared with Corellis?
LangGraph is best for Developers building AI agents who need low-level control; and for Engineering teams building stateful, multi-actor LLM applications. Corellis is best for Engineering teams replacing in-house agent orchestrators with a maintained open-source stack; and for Organizations scaling AI assistants into coordinated, self-improving fleets.
How does the pricing of LangGraph compare with Corellis?
LangGraph is open source, includes a free plan. Corellis is open source, includes a free plan. Always verify current pricing with the vendor.
Does LangGraph or Corellis have a free plan?
LangGraph is open source. Corellis is open source. Always verify current pricing with the vendor.

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