5dive is a self-hosted multi-agent runtime that lets you orchestrate a team of AI agents on your own infrastructure. You define named agents, organize them in an organizational hierarchy, give them a shared task backlog, and let them coordinate work handoffs autonomously while notifying you only when human judgment is required.
The tool addresses the challenge of coordinating multiple AI models toward complex goals without constant human intervention. Rather than treating each agent call as an isolated request, it models agents as members of a company with defined roles and relationships. Agents can claim tasks from a shared backlog, delegate work to colleagues, and escalate decisions upward when needed. This structure reduces the friction of multi-step workflows and keeps humans in the loop only at critical decision points.
You should consider 5dive if you want to run agent-based automation on infrastructure you control rather than relying on managed services. It suits projects where multiple specialized agents need to collaborate on a shared set of tasks, where you want to avoid vendor lock-in, and where you need visibility into agent behavior and decision-making. The tool is designed for teams building agentic systems rather than for single-agent chatbot applications.
The project shows active development with regular commits across its codebase. Work spans multiple areas including core agent runtime functionality, organizational structure management, and task coordination logic. The maintainers are actively refining the agent handoff mechanisms and escalation pathways that form the core of the system. There is ongoing attention to the self-hosted deployment experience and configuration patterns needed to run agent companies effectively.
