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GoldieBench Blog · 1 min read

The Agentic OS Dashboard: Mission Control For All Your Agents

Inside a real agentic OS dashboard: mission control, agent tabs, live activity, galleries, memory graph and one-click workflows — with the design rules that keep it usable.

The Agentic OS Dashboard: Mission Control For All Your Agents — illustrated hero

The dashboard is the difference between "I have six AI tools" and "I have an operating system".

One screen: every agent, every workflow, everything you've built, one click away.

Here's what belongs on it, from a system that's been iterated daily for months.

The anatomy

Mission Control — live activity feed, recent operations, today's goals.

Agent tabs — one per brain (Claude, Hermes, Codex, local), each with chat + history + its own workspace gallery.

Custom workflow tabs — SEO pipeline, video agent, image studio, lead gen: your repeated jobs as buttons.

Memory tab — the Obsidian vault as a visual graph.

Orchestration — kanban/team views where multiple agents share tasks.

Design rules that survived contact

Hideable everything (you'll use 20% daily — hide the rest, models change weekly).

Name every conversation (findability beats features).

Galleries for every output (unsaved work is lost work).

Local-first (an OS with file access shouldn't be a public website).

Visual anchors per workflow — an icon you recognize in half a second.

The engine room

Under the dashboard sit the models.

Route expensive brains to planning and a free local lane to grunt work — current local picks with real scores: Agents-A1 for agent speed, Qwable for build quality, data on the local leaderboard.

See a live one

Walkthroughs of every tab at agentos.guide; the installable dashboard ships in the AI Profit Boardroom.

FAQ

What should an agentic OS dashboard include?

Mission control (live activity + goals), one tab per agent with history, custom workflow tabs for repeated jobs, a visual memory layer, and galleries so every output is findable.

Web app or native app?

A local web app (localhost) is the sweet spot: full UI freedom, no store friction, and it stays private — important because the OS can edit files.

How long does it take to build?

From template: ~10 minutes to running. From scratch with a frontier model coding: an afternoon for the shell, then daily iteration as you add workflows.

Can the dashboard run free models?

Yes — a Local tab pointing at Ollama gives you a $0 lane; see the local leaderboard here for which model to pin.

The same stack Julian uses

Run this stack yourself.

Every demo on this bench was built inside the Agent Operating System — one prompt, one shot, single HTML file out. The Agent OS, the prompts, the templates, the weekly walkthroughs and 3,400+ founders shipping with it every day all live inside the AI Profit Boardroom.

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