SuperAGI Pricing & Plans 2026

Name: SuperAGI
Brand: SuperAGI
Availability: InStock

Complete pricing guide for SuperAGI. Compare all plans, analyze costs, and find the perfect tier for your needs.

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Still deciding? Read our full verdict on whether SuperAGI is worth it →

🆓Free Tier Available

💎2 Paid Plans

⚡No Setup Fees

Choose Your Plan

Open Source

forever

✓Self-hosted via Docker Compose
✓Full web management console
✓All core tools included
✓Community marketplace access
✓Unlimited local agents
✓Community support via GitHub/Discord

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Cloud (SuperAGI Cloud)

Contact for pricing

monthly

✓Managed hosting
✓Team collaboration features
✓Priority support
✓Enhanced dashboard
✓Usage-based scaling

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Pricing sourced from SuperAGI · Last verified March 2026

Feature Comparison

Features	Open Source	Cloud (SuperAGI Cloud)
Self-hosted via Docker Compose	✓	✓
Full web management console	✓	✓
All core tools included	✓	✓
Community marketplace access	✓	✓
Unlimited local agents	✓	✓
Community support via GitHub/Discord	✓	✓
Managed hosting	—	✓
Team collaboration features	—	✓
Priority support	—	✓
Enhanced dashboard	—	✓
Usage-based scaling	—	✓

Is SuperAGI Worth It?

✅ Why Choose SuperAGI

• 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

⚠️ Consider This

• 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 Many categories have limited, outdated, or incompatible contributions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

What Users Say About SuperAGI

👍 What Users Love

✓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

👎 Common Concerns

⚠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

Pricing FAQ

Is SuperAGI still actively maintained?

As of early 2026, no. The company (Transformer Optimus) pivoted to other products. The repository is still available and the software functions, but there are known security issues and no significant updates since late 2024. Evaluate carefully before adopting for new projects.

How does SuperAGI compare to CrewAI or LangGraph?

SuperAGI is a full platform with GUI and scheduling. CrewAI and LangGraph are code-first frameworks. SuperAGI pioneered visual agent management and marketplaces, but CrewAI and LangGraph have larger active communities, faster development, and better documentation. For new projects in 2026, CrewAI or LangGraph are stronger choices.

What infrastructure is needed to run SuperAGI?

Docker with at least 4GB RAM. Docker Compose brings up backend server, web frontend, and PostgreSQL. Adding a vector store requires additional configuration. A basic 2 vCPU, 4GB RAM VM handles small deployments.

Can I create custom tools for SuperAGI?

Yes. Custom tools are Python classes extending BaseTool with a name, description, and execute method. The codebase includes built-in tools as reference implementations. Documentation for custom tool development is sparse.

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More about SuperAGI

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