M.A.V.E.N. (Multi-Agent Virtual Execution Network) is an agentic operating system for running a fleet of AI agents. This dashboard is its UI template: agents, workflows, a knowledge base, and inference jobs, all in one HUD-styled control room.
A node canvas for the whole fleet: drag connections between agents, dispatch a task, and run a saved pipeline end to end.
Create, edit, and monitor every agent from one place, with live logs for each run.
Chain agents and triggers into automations, then replay run history or trace network I/O when one misbehaves.
Connect documents once and search them with the same semantic index every agent reads from.
Queue jobs, watch performance and pipelines, and get alerted the moment one fails.
See what's running, what every run asked a model, and what it cost, all from the services pages.
Upload docs or connect a repo. M.A.V.E.N. indexes it into a searchable knowledge base in minutes.
Pick a model, write a prompt, and assign tools. A new agent is ready to run in under five minutes.
Wire agents into workflows that trigger on events, schedules, or webhooks, and watch them run.
For individuals exploring AI agents
For teams building production AI workflows
For organizations with advanced needs
Start free. No card required.