Suna is an open-source AI Management System that lets organizations run AI agents with full ownership and control over their infrastructure, configuration, and data.
The tool addresses the problem of vendor lock-in and data privacy in AI agent platforms by providing a self-hosted alternative to closed commercial offerings. It works by storing agents, skills, company memory, and all connectors in a git repository that your organization owns outright. When agents execute work, they run in isolated sandbox environments on dedicated cloud computers, each on its own git branch. The results land as change requests that humans review and approve before merging to the main codebase, creating an audit trail and preventing unvetted changes.
Organizations should choose this tool if they need to self-host AI agents, want to use multiple model providers with their own API keys, or require their agent configuration and company knowledge to live in version control they control. It suits companies that value auditability, want to avoid vendor lock-in, and prefer managing infrastructure themselves or using a managed cloud option. The README explicitly positions it as an alternative to Claude Cowork and ChatGPT Work, noting that Suna is open source while those competitors are closed, that Suna supports any model provider while competitors lock to specific vendors, and that Suna can run on your own infrastructure while competitors require their cloud platforms.
The project maintains active development with regular updates to both core functionality and documentation. The tool supports practical workflows through a three-command quickstart and offers a full CLI reference for advanced usage. Development appears focused on the core capability of running thousands of parallel sandboxes with proper isolation and change request workflows. The project provides both self-hosted free deployment and a managed cloud option, indicating ongoing investment in multiple deployment paths.
