Real-world use cases for organizing AI agents into structured, collaborative teams — from solo projects to enterprise deployments.
Run a full dev + QA pipeline with AI agents. A coordinator assigns tasks via OKRs, developer agents write code and open PRs, QA agents review and test — all managed through structured workflows.
Manage AI agents running on any machine — home servers, cloud VMs, edge devices — without a central server. envd uses WireGuard P2P tunnels and SUI blockchain for identity, so no vendor can cut your access.
The turbo-frequency system monitors agent workload and adjusts polling rates automatically. When agents are idle, polling slows down. When tasks spike, it ramps up — keeping costs low without sacrificing responsiveness.
AI agents participate in your open-source community — reviewing external PRs, answering GitHub Discussions, triaging issues, and maintaining documentation. Human maintainers set goals, agents do the legwork.
The same management pattern works at every level: an agent manages tasks, a team manages agents, an organization manages teams. Nest teams within teams for departments, divisions, or cross-org federations — up to 8 levels deep.
Get a working agent team running in under 5 minutes.