THE COMPARISON / A CLOSER LOOK

SuperAGI vs Dust AI

Compare the listed plans, useful capabilities, and practical tradeoffs.

Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.

SuperAGI

🟡Low Code

AI Tools for Business

Pioneering open-source autonomous agent framework that introduced the first web-based management console and tool marketplace to the agent ecosystem.

SOURCE-CHECK COVERAGE

No scoped source-check record shown. Check current pricing and vendor terms before buying.

Starting Price

Free

Dust AI

🟢No Code

AI Tools for Business

Dust AI is a European (Paris-based) enterprise platform for building and running company-wide AI agents connected to Slack, Notion, GitHub, Google Drive…

SOURCE-CHECK COVERAGE

No scoped source-check record shown. Check current pricing and vendor terms before buying.

Starting Price

Contact

Feature Comparison

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FeatureSuperAGIDust AI
CategoryAI Tools for BusinessAI Tools for Business
Pricing Plans2 listed plans3 listed plans
Starting PriceFreeContact
Key Features
  • • Agent management GUI
  • • Tool integration
  • • Performance monitoring
  • • Custom AI agent builder with no-code interface
  • • Native data connections to Slack, Notion, Google Drive, GitHub, Confluence, Intercom, Zendesk
  • • SOC 2 Type II compliance and GDPR compliance

SuperAGI - Pros & Cons

Pros

  • ✓Web-based management console provides genuine no-code agent creation and monitoring, one of the first frameworks to offer this
  • ✓Fully self-hostable via Docker with complete control over data, models, and agent execution infrastructure
  • ✓Built-in scheduling and performance analytics provide operational visibility that most agent frameworks lack
  • ✓Modular tool architecture with a marketplace concept that influenced the broader agent ecosystem

Cons

  • ✗Development has effectively stalled. The company pivoted and the GitHub repository shows minimal activity since late 2024
  • ✗Known security vulnerabilities remain unaddressed in the open-source codebase, creating risk for production use
  • ✗Tool marketplace never reached critical mass. Many categories have limited, outdated, or incompatible contributions
  • ✗Docker-based deployment with multiple containers (backend, frontend, database, vector store) creates significant setup complexity
  • ✗Documentation is incomplete for custom tool development, production scaling, and troubleshooting

Dust AI - Pros & Cons

Pros

  • ✓EU data residency is a decisive advantage for European buyers vs US-only alternatives
  • ✓Open-source SDK removes vendor-marketplace bottlenecks for custom integrations
  • ✓€29/user/month Pro is easier to model and budget than message-metered enterprise pricing
  • ✓Strong native connector list matches the SaaS stack of most European scale-ups
  • ✓Personal → team → company-wide assistant promotion enables organic bottom-up adoption

Cons

  • ✗Public pricing sits behind a JS-rendered page and isn't easy to compare in a spreadsheet
  • ✗Smaller US brand recognition than Glean or Microsoft Copilot Studio
  • ✗Marketplace of prebuilt integrations is more limited than Zapier-scale competitors
  • ✗Per-seat model can add up quickly if you want every employee to have optional access
  • ✗Enterprise controls (custom SSO, on-prem, air-gapped) are gated to the Enterprise tier

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🔒 Security & Compliance Comparison

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Security FeatureSuperAGIDust AI
SOC2——
GDPR——
HIPAA——
SSO——
Self-Hosted✅ Yes—
On-Prem✅ Yes—
RBAC——
Audit Log——
Open Source✅ Yes—
API Key Auth✅ Yes—
Encryption at Rest——
Encryption in Transit——
Data Residency——
Data Retentionconfigurable—
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