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Auto-Company
Auto-Company is a continuous agent workflow that uses Claude Code or Codex CLI to run repeated work cycles across 14 business and engineering roles.
Each cycle reads a shared consensus file, forms a smaller working group, carries out the next task, records the handoff, and then starts again. The repository includes macOS and Windows-with-WSL setup, background services, logs, stop controls, and a local dashboard. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
A repeating multi-agent work loop
The project wraps an AI coding CLI in a long-running loop. Fourteen role prompts cover product, engineering, research, finance, operations, marketing, sales, and review, while each cycle forms a smaller team for the current job.
Why it stands out
One readable file carries the baton
Instead of a separate database, each fresh CLI session reads and rewrites one Markdown consensus file. That gives people a direct place to inspect the current decision and change the next action.
Availability
Claude Code or Codex, with local controls
The repository documents Claude Code as the default engine and Codex CLI as an alternative. It includes foreground and background starts, pause and stop commands, cycle logs, error backoff, and a browser dashboard served from the local machine.
Why it matters
What makes it useful
Auto-Company makes a specific version of continuous agent work easy to inspect: role prompts, cycle instructions, shared state, operating scripts, logs, and dashboard code all sit in the repository. That helps a builder see what keeps the loop moving and where human steering enters.
What to know
Where it fits
This is an experimental operating scaffold for people who want an AI coding agent to keep working across repeated product and business cycles. It is not a hosted company service, a guarantee that the roles make sound decisions, or a replacement for reviewing what the agents build, deploy, or connect to.
Notable points
What stands out
The project labels itself experimental and says each cycle consumes model quota. Its March 2026 v1.1.0 release added a shared local dashboard for macOS and Windows/WSL plus tighter status handling and targeted regression tests.
Before using
What to review
Start in the foreground before installing the background service so you can see a full cycle and inspect what it changes.
Review the engine permissions before a long run. The core loop defaults to Claude bypassPermissions or Codex danger-full-access, while the documented Codex Windows example shows a narrower workspace-write setting.
Check the accounts, repositories, deployment tools, and credentials visible to the selected CLI. Prompt guardrails do not replace the permission boundary of the machine or connected services.
The repository root did not show a license file when this overview was prepared. Check the current project page for any terms before reuse or redistribution.
Reader fit
Who may find it relevant
Builders studying how fresh agent sessions can continue through simple file-based state.
People comparing a continuous role-based loop with agent frameworks, dashboards, or work-queue orchestration.
Less relevant for anyone who wants a finished business service or a low-access assistant that asks before every action.
Editorial note
Why LifeHubber lists it
LifeHubber lists Auto-Company because it turns the broad idea of an autonomous AI company into an unusually inspectable loop: the roles, handoff file, scripts, logs, stop controls, and dashboard are all visible. That helps readers decide whether continuous agent work is worth the model cost, setup, and permission boundary it requires.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
What to explore next
Keep the autonomous loop inside a boundary you can inspect.
Auto-Company can keep agent work moving across repeated cycles. These next pages help compare that setup with other agent projects and decide what the loop may access before it acts.
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