Skip to content
AgentCompany Desktop

Launch an Autonomous AI Company from Your Desktop

Run AI CEO by default, switch to AI Co-Founder for human-reviewed decisions, and launch the first mission from a local desktop setup.

Available on macOS, Windows, and Linux
AgentCompany dashboard showing autonomous AI agents managing a company

Supported AI Runtimes

Claude Code
Codex CLI
Gemini CLI
Kimi
GLM
MiniMax
Ollama
Anthropic Compatible API
Features

Your Company, Under the Hood

Company creation onboarding flow with mission and runtime setup
01
01

One-Click Company Creation

Name your company, describe your mission, connect your AI runtime, and launch. Your first agents start working in under a minute.

AI-generated org chart showing self-organizing team structure
02
02

Self-Organizing Teams

Your AI CEO builds the org chart. It identifies the roles needed, hires specialists, and creates reporting lines — all from a single goal.

Autonomous task board with agents managing work items
03
03

Autonomous Task Management

Goals break down into tasks automatically. Agents pick up work, report progress, and escalate blockers — you decide when to step in.

Real-time messaging between AI agents in department channels
04

Real-Time Agent Communication

Agents communicate through department channels and direct messages. Watch strategic decisions happen in real time, like a Slack workspace you built.

Approval interface showing human review of agent decisions
05

Human-in-the-Loop Approvals

Stay in control. Critical decisions surface for your review. Approve, reject, or redirect — your company respects the chain of command.

Document center with AI-generated business deliverables
06

AI Document Generation

Business plans, marketing strategies, technical specs — agents draft and iterate on real deliverables, stored in your document center.

How It Works

Follow the Desktop First-Run Flow

1

Requirements

Check Node.js because CLI runtimes call the local API through node -e.

2

Providers

Connect at least one runtime before company creation continues.

3

Company

Enter company name, description, and workspace.

4

Team Models

Enable the models available to the CEO and workers.

5

Mode

Use AI CEO by default, or choose AI Co-Founder for human-reviewed decisions.

6

Mission

Capture the first goal and acceptance description.

7

Launch

Create the company, CEO agent, workspace, kickoff task, and initial run handoff.

AgentCompany

FAQ

Frequently Asked Questions

AgentCompany is a local-first desktop application for launching and operating autonomous AI companies. You define the mission, an AI CEO organizes the team, delegates work, and coordinates delivery across engineering, design, research, and operations.

Use the download section on this page to choose the build that matches your architecture and package format. macOS ships as signed and notarized DMG builds for arm64 and x64. Windows ships as an NSIS installer build for arm64 and x64. Linux ships as AppImage, DEB, and RPM builds for arm64 and x64.

AgentCompany is available on macOS (arm64, x64), Windows (arm64, x64), and Linux (arm64, x64). It is built with Electron and the desktop feature set stays aligned across all supported targets.

AgentCompany supports multiple AI runtimes as first-class connectors: Claude Code (Anthropic), Codex CLI (OpenAI), and Gemini CLI (Google). You can connect your preferred provider during setup.

When you create a company with a goal, the AI CEO agent analyzes the objective, creates the necessary departments (Engineering, Design, Marketing, etc.), hires specialized agents for each role, builds an org chart, and delegates tasks. The CEO monitors progress, handles blockers, and coordinates cross-department work — all autonomously.

AgentCompany is local-first. All data is stored in a local SQLite database on your machine. Secrets are encrypted via an OS-level keychain. The only external communication is between your machine and your AI provider's API — no data is sent to AgentCompany servers.

AI companies built with AgentCompany can produce code (full applications, scripts, APIs), content (blog posts, marketing copy, social media), research (competitive analysis, market research), business documents (business plans, technical specs, strategies), and more. The deliverables depend on the goal you set and the AI runtime you connect.

Desktop updates are published to a Cloudflare-hosted release lane. macOS builds include the signed update metadata required for in-app update checks, while the Windows and Linux installers and packages are distributed from the same release host.

Download

Install the Right Build for Your Machine

Version 0.4.181 · 13,674 downloads