The human layer for OpenClaw

The one-person company era begins.

Run agents, projects, and operations from one control surface built for real operators.

Mission Control Walkthrough
Live topology canvas Mission dispatch Transcript-backed inspector Workspace bootstrap Planner deploy flows Onboarding and fallback
QuickStart

Install AgentOS and open Mission Control.

Pick an install path, run one command, and verify the local runtime.

CLI beta

# Fastest path. Install the published AgentOS release and open Mission Control locally.

$
curl -fsSL https://raw.githubusercontent.com/SapienXai/AgentOS-MissionControl/main/install.sh | bash
Packaged CLI install Launch with agentos start --open Verify with agentos doctor

Start with the one-liner unless your setup already depends on pnpm or a source checkout.

What It Does

Everything the operator needs above the runtime.

This section mirrors the technical role of the reference site, but the cards are specific to AgentOS. These are the core operating surfaces already present in the product.

01

Live topology canvas

Visualize workspace, agent, runtime, and model relationships from one operator-facing map.

02

Mission dispatch

Route structured work to real OpenClaw agents with thinking levels and clear operational intent.

03

Transcript-backed inspection

Inspect runtime output, warnings, token usage, and created files after execution.

04

Workspace bootstrap wizard

Create a new workspace with templates, presets, memory, docs, and kickoff missions.

05

Planner deploy flows

Turn company context into a live workspace, agent team, automations, and first missions.

06

Agent presets and policies

Configure workers, browsers, setup agents, network rules, install scope, and heartbeat policies.

07

OpenClaw onboarding

Detect missing runtime state, install or start OpenClaw, and verify readiness directly from the UI.

08

Honest fallback mode

If the runtime is unavailable, the product says so clearly instead of pretending the system is live.

Works With Everything

Built to sit above the whole operating stack.

AgentOS does not replace the runtime. It rides above it. That means the control plane can unify models, files, sessions, automations, planner assets, and the real project workspace beneath.

OpenClaw GPT-5 Claude Local models Terminal Filesystem Git repos Workspaces Agents Runtimes Transcripts SSE snapshots OpenClaw GPT-5 Claude Local models Terminal Filesystem Git repos Workspaces Agents Runtimes Transcripts SSE snapshots
Planner Automations Gateway Policies AGENTS.md MEMORY.md Browser tasks Channels Team presets Docs Deliverables Local machine Planner Automations Gateway Policies AGENTS.md MEMORY.md Browser tasks Channels Team presets Docs Deliverables Local machine
Runtime truth Sessions, presence, gateway state, models, and transcript files

The live state stays grounded in OpenClaw instead of being duplicated into a fake SaaS abstraction.

Workspace reality Real project folders, docs, memory, deliverables, and scaffolds

Missions tie directly to the filesystem, which is where the work actually lives.

Operator actions Planning, deploy, inspection, onboarding, and policy-aware control

The human stays above the system with one coherent operating picture and real review loops.

Start with AgentOS

You are not just using AI. You are operating AI labor.

Run agents, projects, and operations from one control surface designed for real operators. Built on OpenClaw, AgentOS gives you structure, visibility, and control across workspaces, tasks, and execution.