SuperAGI vs Cassidy AI

Detailed side-by-side comparison to help you choose the right tool

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. While development has slowed, it remains valuable for educational purposes and understanding agent platform architecture.

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Starting Price

Free

Cassidy AI

🟢No Code

AI Tools for Business

Cassidy builds knowledge-grounded AI agents and workflows for operationally complex industries — insurance, manufacturing, employee benefits — inside Teams, Slack, Chrome, and Word.

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Starting Price

Free

Feature Comparison

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FeatureSuperAGICassidy AI
CategoryAI Tools for BusinessAI Tools for Business
Pricing Plans19 tiers200 tiers
Starting PriceFreeFree
Key Features
  • Agent management GUI
  • Tool integration
  • Performance monitoring
  • Core workflow: Cassidy builds agents and workflows for CRM context, meetings, RFP responses, support triage, and technical knowledge retrieval.
  • Integrations and scale: The pricing page lists agents, workflows, brand voice, knowledge collections, scheduled triggers, human-in-the-loop steps, webhooks/API, conditional logic, retries, bulk execution, research blocks, audit trails, and deployments into Slack, Teams, Gmail, Outlook, Word, Excel, Chrome, and APIs.
  • Governance and limits: Security claims include SOC 2 Type II, encryption, no model training on customer data, SSO on higher tiers, and GDPR support.

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

Cassidy AI - Pros & Cons

Pros

  • Vertical playbooks for insurance, PEO, industrials, and professional services beat generic agent templates
  • Model-agnostic runtime — no lock-in on any single LLM provider
  • Free Starter with 3 seats, 10K credits/month, and 30K pages is a genuine evaluation tier, not a teaser

Cons

  • Business pricing is custom only — no published rate card makes budgeting and CFO conversations harder
  • Connector library is narrower than horizontal-first competitors like Dust or Glean
  • Advanced features (audit trail, custom triggers, bulk execution) require Business — Starter is essentially a trial

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🔒 Security & Compliance Comparison

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Security FeatureSuperAGICassidy AI
SOC2✅ Yes
GDPR✅ Yes
HIPAA✅ Yes
SSO✅ Yes
Self-Hosted✅ Yes❌ No
On-Prem✅ Yes❌ No
RBAC✅ Yes
Audit Log✅ Yes
Open Source✅ Yes❌ No
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes
Encryption in Transit✅ Yes
Data Residency
Data Retentionconfigurableconfigurable
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