@CycleDecoded: Have you ever had this thought: want to start a side hustle or do independent development, but you're already exhausted after work every day and have no energy? I created an open-source project that lets your computer work for you 24/7, cross-platform support for Windows/Linux/macOS: Auto-Company: Fully automatic 24/7 digital…

Have you ever had this thought: want to start a side hustle or go indie, but you’re completely exhausted after work every day and have no energy? I created an open-source project that lets your computer work for you 24/7, cross-platform supporting Windows/Linux/macOS: Auto-Company: A fully automated 24/7 digital company. One-click deployment, runs stably on your local PC. Runs automatically around the clock, no need to babysit it. Flexibly extend your own business logic and automation flows. All data stays locally, zero privacy leak risk, completely free. GitHub open-source link: http://github.com/MaxMiksa/Auto-Company… — # MaxMiksa/Auto-Company Source: https://github.com/MaxMiksa/Auto-Company # Auto Company A fully autonomous AI company running 24/7 Powered by Agentic Workflows, this project orchestrates 14 Autonomous AI Agents, each modeled after world-class experts in their domain. They ideate products, make decisions, write code, deploy, and market - without human intervention. Powered by Claude Code (default) and Codex CLI (https://www.npmjs.com/package/@openai/codex) on macOS + Windows/WSL, with a local dashboard on both hosts. macOS Windows WSL Codex CLI (https://www.npmjs.com/package/@openai/codex) Claude Code License: MIT (https://opensource.org/licenses/MIT) — ## Dashboard Preview Auto Company Dashboard ## What Is This? You start a loop. The AI team wakes up, reads shared consensus memory, decides what to do, forms a 3-5 person squad, executes, updates consensus memory, then sleeps briefly. Then it repeats. daemon (launchd / systemd --user, auto-restart on crash) └── scripts/core/auto-loop.sh (continuous loop) ├── reads PROMPT.md + consensus.md ├── LLM CLI call (Codex CLI / Claude Code) │ ├── reads CLAUDE.md (charter + guardrails) │ ├── reads .claude/skills/team/SKILL.md (teaming method) │ ├── forms an Agent Team (3-5 agents) │ ├── executes: research, coding, deploy, marketing │ └── updates memories/consensus.md (handoff baton) ├── failure handling: rate-limit wait / circuit breaker / consensus rollback └── sleep -> next cycle Each cycle is an independent CLI call. memories/consensus.md is the only cross-cycle state. ## Where To Start (By Platform) - Windows users: start from Windows (WSL) Quick Start, then read docs/windows-setup.md - macOS users: start from macOS Quick Start, then see Command Quick Reference ## Team Lineup (14 Agents) This is not “you are a generic developer”. It is “you are DHH” style role prompting with real expert mental models. | Layer | Role | Expert Persona | Core Strength | |——|——|——|–––––| | Strategy | CEO | Jeff Bezos | PR/FAQ, flywheel thinking, Day 1 mindset | | | CTO | Werner Vogels | Design for failure, API-first architecture | | | Inversion | Charlie Munger | Inversion, pre-mortems, misjudgment checklist | | Product | Product Design | Don Norman | Affordance, mental models, human-centered design | | | UI Design | Matias Duarte | Material metaphor, typography-first design | | | Interaction Design | Alan Cooper | Goal-directed design, persona-driven decisions | | Engineering | Full-Stack | DHH | Convention over configuration, majestic monolith | | | QA | James Bach | Exploratory testing, testing is not checking | | | DevOps/SRE | Kelsey Hightower | Automation first, reliability discipline | | Business | Marketing | Seth Godin | Purple cow, permission marketing, smallest viable audience | | | Operations | Paul Graham | Do things that do not scale, ramen profitability | | | Sales | Aaron Ross | Predictable revenue, funnel systems | | | CFO | Patrick Campbell | Value-based pricing, unit economics | | Intelligence | Research Analyst | Ben Thompson | Aggregation theory, value chain analysis | Plus 30+ reusable skills (deep research, scraping, financial modeling, SEO, security audit, UX audit, etc.). ## macOS Quick Start bash # Prerequisites: # - macOS # - Codex CLI or Claude Code installed and authenticated # - Available model quota # Clone git clone https://github.com/MaxMiksa/Auto-Company.git cd auto-company # Foreground run (live output) make start # Or install daemon (auto-start + auto-restart) make install ## Windows (WSL) Quick Start powershell # Prerequisites: # - Windows 10/11 + WSL2 (Ubuntu) # - Codex CLI or Claude Code installed and authenticated inside WSL # - jq and make available inside WSL # - Available model quota # Clone git clone https://github.com/MaxMiksa/Auto-Company.git cd auto-company # Start (daemon mode via PowerShell, default engine = claude) .\scripts\windows\start-win.ps1 # Switch engine explicitly .\scripts\windows\start-win.ps1 -Engine codex # Status .\scripts\windows\status-win.ps1 # Stop .\scripts\windows\stop-win.ps1 For monitoring, dashboard, and autostart commands, see docs/windows-setup.md. ## Command Quick Reference (By Platform) | Task | macOS / WSL (Terminal) | Windows (PowerShell) | |—|—|—| | Start | make start | .\scripts\windows\start-win.ps1 | | Status | make status | .\scripts\windows\status-win.ps1 | | Live logs | make monitor | .\scripts\windows\monitor-win.ps1 | | Last cycle output | make last | .\scripts\windows\last-win.ps1 | | Cycle summary | make cycles | .\scripts\windows\cycles-win.ps1 | | Stop | make stop | .\scripts\windows\stop-win.ps1 | | Web dashboard | make dashboard | .\scripts\windows\dashboard-win.ps1 | | Install daemon | make install | Auto-installed/started by start-win.ps1 | | Uninstall daemon | make uninstall | wsl -d Ubuntu --cd bash -lc 'make uninstall' | | Pause daemon | make pause | wsl -d Ubuntu --cd bash -lc 'make pause' | | Resume daemon | make resume | wsl -d Ubuntu --cd bash -lc 'make resume' | ### macOS Sleep Prevention (macOS Only) macOS screen lock usually does not kill processes, but system sleep can pause work. For long runs: bash make start-awake # Start loop and keep system awake until loop exits # If loop is already running (after make start): make awake # Attach caffeinate to PID in .auto-loop.pid Notes: - Both commands depend on built-in caffeinate - make awake exits automatically when target PID exits ## Architecture & Technology Stack (5-Layer Architecture) Auto-Company is not a simple LLM API wrapper, but a highly decoupled Multi-Agent System (MAS). Its technical architecture is divided into 5 distinct layers: text ┌────────────────────────────────────────────────────────────┐ │ 5. Observability & HITL (Human-In-The-Loop) Layer │ │ [ Dashboard ] [ File-based Steering (consensus.md) ] │ ├────────────────────────────────────────────────────────────┤ │ 4. Workflow Routing & Teaming Layer │ │ [ Dynamic Squad Routing ] [ Forced Convergence Flow ] │ ├────────────────────────────────────────────────────────────┤ │ 3. Agentic Models & Cognition Layer │ │ [ 14 Expert Personas ] [ 30+ Skill Arsenal ] │ ├────────────────────────────────────────────────────────────┤ │ 2. Orchestration & State Machine Layer │ │ [ 24/7 Auto-Loop ] [ State Machine ] [ Resilience ] │ ├────────────────────────────────────────────────────────────┤ │ 1. Execution Engine & Infrastructure Layer │ │ [ Dual-Engine (Claude/Codex) ] [ Cross-Platform Daemon]│ └────────────────────────────────────────────────────────────┘ ### Layer 5: Observability & HITL (Human-In-The-Loop) * File-based Steering: Humans only need to edit memories/consensus.md and modify the Next Action. The AI team waking up in the next cycle will immediately pivot, enabling minimalist macro-control. * Full-chain Logs & Dashboard: logs/ records the complete output and chain-of-thought for each cycle. dashboard/ provides a local visualization dashboard based on a Python server, displaying real-time cycle status, cost consumption, and agent activity. ### Layer 4: Workflow Routing & Teaming * Dynamic Squad Formation: Powered by Agent Teams, the system dynamically selects 2-5 of the most suitable experts from the 14-person pool based on the “Next Action” in consensus.md, instantiating them as sub-agents for the current loop. * Forced Convergence Flow: Hardcoded flow control in PROMPT.md. For example: Cycle 1 Ideation -> Cycle 2 Validation (Pre-mortem, GO/NO-GO) -> Cycle 3 Execution (Code & Deploy, pure discussion is forbidden). ### Layer 3: Agentic Models & Cognition * Expert Personas Injection: Instead of generic prompts, it injects specific mental models of historical figures/industry leaders (e.g., Bezos’s “Working Backwards”, Munger’s “Checklists”, DHH’s “Majestic Monolith”) into .claude/agents/, giving decisions extreme business and engineering depth. * Skill Arsenal: A pluggable system located in .claude/skills/ (e.g., frontend-design, security-audit). Specific methodologies are encapsulated as tools that any awakened Agent can “temporarily load”. * Constitutional Guardrails: System-level prompts hardcoded in CLAUDE.md set absolute bottom lines (e.g., no deleting repos, no force pushes) to ensure safety under high autonomy. ### Layer 2: Orchestration & State Machine * The Auto-Loop: The execution loop controlled by scripts/core/auto-loop.sh frees the AI from “single-turn conversations”, enabling 24/7 continuous operation. * Lightweight State Machine (Consensus Memory): Forgoes complex vector databases or memory management, compressing cross-cycle context into a single Markdown file: memories/consensus.md. Read before every cycle and rewritten before it ends, acting as the system’s “baton”. * Resilience & Self-Healing: Built-in circuit breakers (cooldown triggered by consecutive errors), rate-limit backoff (auto-sleep on 429 errors), and sandbox reset (auto-rollback if a valid consensus is not output). ### Layer 1: Execution Engine & Infrastructure * Dual-Engine Executor: Acts as the underlying executor by calling mature AI CLIs (Claude Code or Codex CLI), naturally inheriting their file I/O, Bash execution, and Git operation capabilities. * Cross-Platform Daemon: macOS uses launchd for auto-start and crash recovery; Windows/WSL runs via systemd --user inside a WSL container, controlled and kept alive externally via PowerShell. * Sandbox Boundary: Currently relies on underlying CLI configurations (like Codex’s danger-full-access or Claude’s bypassPermissions). System-level operations occur directly in the host environment (or WSL container). ## Operating Model ### Automatic Convergence (No Endless Discussion) | Cycle | Action | |——|——| | Cycle 1 | Brainstorm: each agent proposes ideas, rank top 3 | | Cycle 2 | Validate #1: Munger pre-mortem + Thompson market check + Campbell economics -> GO / NO-GO | | Cycle 3+ | GO -> create repo, build, deploy. NO-GO -> move to next idea. Discussion-only loops are forbidden | ### Six Standard Workflows | # | Workflow | Collaboration Chain | |—|——|––––| | 1 | New Product Evaluation | Research -> CEO -> Munger -> Product -> CTO -> CFO | | 2 | Feature Development | Interaction -> UI -> Full-stack -> QA -> DevOps | | 3 | Product Launch | QA -> DevOps -> Marketing -> Sales -> Ops -> CEO | | 4 | Pricing and Monetization | Research -> CFO -> Sales -> Munger -> CEO | | 5 | Weekly Review | Ops -> Sales -> CFO -> QA -> CEO | | 6 | Opportunity Discovery | Research -> CEO -> Munger -> CFO | ## Steering The team runs autonomously, but you can intervene at any time: | Method | Action | |——|——| | Change direction | Edit “Next Action” in memories/consensus.md | | Pause | make pause (macOS/WSL daemon mode) or .\scripts\windows\stop-win.ps1 (Windows entry) | | Resume | make resume | | Review outputs | Check docs/*/ for artifacts generated by agents | ## Safety Guardrails Hard constraints in CLAUDE.md, enforced for all agents: - Do not delete GitHub repos (gh repo delete) - Do not delete Cloudflare projects (wrangler delete) - Do not delete system directories (~/.ssh/, ~/.config/, etc.) - Do not perform illegal activity - Do not leak credentials into public repositories - Do not force push to main/master - Create all new projects under projects/ ## Configuration Environment variable overrides: bash ENGINE=claude make start # Default engine (claude|codex) ENGINE=codex make start # Switch to codex MODEL=sonnet make start # Optional model override CLAUDE_PERMISSION_MODE=bypassPermissions make start # Claude permission mode LOOP_INTERVAL=60 make start # 60s interval (default 30) CYCLE_TIMEOUT_SECONDS=3600 make start # 1h cycle timeout (default 1800) MAX_CONSECUTIVE_ERRORS=3 make start # Circuit-breaker threshold (default 5) CODEX_SANDBOX_MODE=workspace-write make start # Optional sandbox override CLAUDE_BIN=/usr/local/bin/claude make start # Optional Claude binary override CODEX_BIN=/usr/local/bin/codex make start # Optional Codex binary override Windows start-win.ps1 writes the same values into .auto-loop.env: powershell .\scripts\windows\start-win.ps1 -Engine claude -ClaudePermissionMode bypassPermissions .\scripts\windows\start-win.ps1 -Engine codex -SandboxMode workspace-write # Backward compatibility: .\scripts\windows\start-win.ps1 -Engine codex -CodexSandboxMode workspace-write No automatic engine fallback is performed. If the selected engine is missing, startup fails fast. ## Project Structure auto-company/ ├── CLAUDE.md # Company charter (mission + guardrails + team + workflows) ├── PROMPT.md # Per-cycle execution prompt (convergence rules) ├── Makefile # Common command entry ├── INDEX.md # script index + responsibility table ├── dashboard/ # Local web status dashboard (macOS: make dashboard, Windows: dashboard-win.ps1) ├── scripts/ │ ├── core/ # Core loop and control scripts (auto-loop/monitor/stop) │ ├── windows/ # Windows entry/guardian/autostart scripts │ ├── wsl/ # WSL systemd --user daemon scripts │ └── macos/ # macOS launchd daemon scripts ├── memories/ │ └── consensus.md # Shared handoff memory across cycles ├── docs/ # Agent outputs (14 folders + Windows guide) ├── projects/ # Workspace for generated projects ├── logs/ # Loop logs └── .claude/ ├── agents/ # 14 agent definitions (expert personas) ├── skills/ # 30+ reusable skills └── settings.json # Permissions + Agent Teams switch ## Dependencies | Dependency | Notes | |——|——| | Claude Code / Codex CLI | Supported CLI engines (default: Claude) | | macOS or Windows + WSL2 (Ubuntu) | macOS uses launchd; Windows uses WSL execution core | | node | Runtime for npm-installed CLI tools | | make | Start/stop/monitor command entry (WSL/macOS) | | jq | Recommended for log processing | | gh | Optional, GitHub CLI | | wrangler | Optional, Cloudflare CLI | ## FAQ ### 1) WSL .sh fails with ^M / bad interpreter - Cause: CRLF line endings in shell scripts - Fix: - Keep LF rules in .gitattributes - Run git config core.autocrlf false && git config core.eol lf ### 2) WSL says codex/claude command not found - Cause: CLI installed on Windows only, missing in WSL - Fix: install node and your chosen CLI inside WSL (@openai/codex or Claude Code) ### 3) Claude waits for permission and cycles appear blocked - Cause: strict permission mode in Claude CLI - Fix: set CLAUDE_PERMISSION_MODE=bypassPermissions (or pass -ClaudePermissionMode bypassPermissions in start-win.ps1) - Verify: check logs/auto-loop.log for Engine: claude and PermissionMode: ... ### 4) make install fails inside WSL - Cause: no available systemctl --user in current session - Fix: - Verify WSL systemd is enabled - Run systemctl --user --version - Re-open WSL session and retry if needed ## Disclaimer This is an experimental project: - Daemon mode works on both macOS and WSL: launchd on macOS, systemd –user on WSL - Windows entry requires WSL: PowerShell is only the control layer - Still under test: runs, but stability is not guaranteed - Costs money: each cycle consumes model quota - Fully autonomous: agents act without approval prompts; configure guardrails carefully in CLAUDE.md - No warranty: review docs/ and projects/ regularly Suggested rollout: sta