AI-company

Overview

AI Team OS transforms Claude Code into a self-driving AI company where users act as Chairman while AI serves as CEO. The system operates autonomously, checking task walls, assigning agents, and executing workflows without continuous prompting. It features 25 professional agent templates, 8 structured meeting formats, and 7 pipeline workflows for consistent execution. The platform includes advanced features like failure alchemy for self-improvement, decision transparency through timeline tracking, and safety enforcement with a 4-layer defense system.

Try asking AI

After installing, here are 6 things you can ask your AI assistant:

• task_create

  Create a new task on the task wall with priority and type

  Try:Create a new task to implement user authenticationTry:Add a bug fix task for the payment processing issue
• pipeline_advance

  Move a task to the next stage in its workflow pipeline

  Try:Advance the user login feature to the testing phaseTry:Move the bug fix task to the review stage
• debate_start

  Initiate a structured debate between agents for decision-making

  Try:Start a debate about the architecture approach for the new systemTry:Organize a debate between team members on the feature prioritization
• git_create_pr

  Automatically create a pull request from staged changes

  Try:Create a PR for the user authentication featureTry:Generate a pull request for the bug fix changes
• find_skill

  Find the right agent template based on skills needed

  Try:Find an agent skilled in React performance optimizationTry:Get the best agent for database schema design
• error_budget_status

  Check the current error budget status of the system

  Try:What's our current error budget status?Try:Is the system in a healthy error state?
• verify_completion

  Verify task completion status and required documentation

  Try:Verify if the user authentication task is truly completeTry:Check if all documentation exists for the feature implementation
• ecosystem_recipes

  Get preset ecosystem integration recipes for common tools

  Try:Show me the GitHub integration recipeTry:Get the full-stack team configuration
• file_lock_acquire

  Acquire a lock on a file to prevent concurrent edits

  Try:Lock the configuration file while I make changesTry:Acquire exclusive access to the database schema file
• mark_as_reference

  Mark a researched repository as a reference for future use

  Try:Mark this React authentication library as a referenceTry:Flag this research paper as important for our project
• agent_heartbeat

  Check if an agent is still active and working

  Try:Is the frontend agent still processing the task?Try:Check the status of the database agent
• pattern_search

  Search for recorded failure patterns to avoid mistakes

  Try:Have we encountered this authentication issue before?Try:Search for patterns related to memory leaks

Note: Tool names inferred from the feature descriptions in the README, as there is no explicit 'Tools' section. The README mentions '108 MCP tools' but doesn't list them directly.

Comparable tools

Installation

pip install ai-team-os

# Add to Claude Desktop config
{
  "mcpServers": {
    "ai-team-os": {
      "command": "python",
      "args": ["-m", "ai_team_os.server"],
      "env": {
        "PYTHONPATH": "/path/to/ai-team-os"
      }
    }
  }
}

FAQ

How does AI Team OS integrate with Claude Code?

It operates entirely within Claude Code through MCP protocol, requiring no external API calls or additional subscriptions. It enhances Claude Code with autonomous operation capabilities while using the same subscription.

What makes it different from other AI agent frameworks?

Unlike CrewAI, AutoGen or LangGraph, AI Team OS is specifically designed for Claude Code with deep MCP integration, offering autonomous operation without continuous prompting, structured meeting systems, and self-improvement capabilities through failure alchemy.

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