An orchestration layer for a whole team of AI agents. You give the CEO agent a goal, it assembles the team, splits the work across roles and tracks status, cost and tokens per agent. Every agent runs on a heartbeat and clears its own blockers, you give the approval. Open source, forked and made my own.
One agent is impressive. Ten agents are a mess. You wire loose automations together, nobody coordinates who picks up what, and you become the point of contact for everything. The costs run away, and when something goes wrong there's no trail back. That is exactly where it falls over, on the stretch between the demo and daily practice.
Mono Dash turns it around. Not ten loose tools, but one company: an org chart with roles, a CEO agent as the point of contact, and you as the board approving what counts.
No team, loose automations
Ten agents, ten loose threads. Nobody coordinates who picks up what, or where it gets stuck.
Costs run away
The heaviest model on every task, no budget per agent, a bill that grows faster than the value beneath it.
Nothing to account for
No trail of who did what or why. In production that's a risk, certainly with the AI Act on the way.
One CEO agent in front, you as the board above. The team steers itself, you keep control.
Work flows from mission to project to agent to task. Agents run on a heartbeat, clear their own blockers, and knock for your approval.
Kai · Engineer is working on NORAAA-18 through the heartbeat, every tool-call gets logged.
Quinn · QA got stuck on a dependency, resolved it alone and carried on.
Atlas · CEO puts the strategy for Cadence 2.0 forward and waits on your go.
This is the heart of Mono Dash: not the loose agents, but the rhythm between them. Every task traces back to the goal, agents recover on their own where they can, and pull you in where it counts.
Six screens, each with its piece of the story above it: how it works, and what it solves.
Testing & launch checklist for onboarding
QA, accessibility, and launch readiness for the onboarding flow.
Testing & launch checklist
Open source, forked and made my own. Agents run model-agnostic, in my case on Claude Code, and hang under one org chart against one goal. Work flows through tickets with full tracing and an immutable audit log. Heartbeats wake agents on schedule, delegation runs up and down the org chart automatically. Budgets per agent keep the costs hard-capped. Governance sits with you: autonomy is something you grant, not a default. And the outcomes connect to Open Brain over MCP, so everything lands in one place.
Not dressed up, just proof that it runs. This is the system as it stands day to day.

CEO agent. Atlas, the point of contact.

Org chart. The team and the lines.

Inbox. The workflow as tickets.

Issue & chat. Work plus discussion.
This is how I run my own ventures on it, from Memortium marketing to Mononium. But the model is universal: give a goal, assemble a team, and approve what counts. For any project or department you want to run with agents.
Every task traces back to the company goal. Agents know what they're doing and, just as important, why.
Agents hire no one, run no strategy and spend no budget without your go. Autonomy is something you grant, not a default.
See which agent is expensive, which task burns tokens, which project runs over budget. At the limit it stops, on its own.
Assemble a team that does nothing but that, and copy the setup for the next project or the next venture.
And the outcomes land in one place, for instance in Open Brain, the memory layer beneath it.
Mono Dash runs in production, with several agent teams and client work on it. If you want to see a team really work, from brief to approval, I'd rather do that live. One meeting, and you'll see it move.