AI-company

概述

AI Team OS 将 Claude Code 转变为一个自主驱动的 AI 公司，用户担任董事长，AI 担任 CEO。系统无需持续提示即可自主运行，检查任务墙、分配智能体并执行工作流。它包含 25 个专业智能体模板、8 种结构化会议形式和 7 种工作流模板，确保执行一致性。平台具备高级功能，如用于自我完善的故障炼金术、通过时间线追踪实现的决策透明度，以及带四层防御系统的安全机制。

试试问 AI

装完之后，这里有 6 个你可以让 AI 做的事：

• task_create

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

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

  Move a task to the next stage in its workflow pipeline

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

  Initiate a structured debate between agents for decision-making

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

  Automatically create a pull request from staged changes

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

  Find the right agent template based on skills needed

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

  Check the current error budget status of the system

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

  Verify task completion status and required documentation

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

  Get preset ecosystem integration recipes for common tools

  试试:Show me the GitHub integration recipe试试:Get the full-stack team configuration
• file_lock_acquire

  Acquire a lock on a file to prevent concurrent edits

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

  Mark a researched repository as a reference for future use

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

  Check if an agent is still active and working

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

  Search for recorded failure patterns to avoid mistakes

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

说明：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.

可对比工具

安装

pip install ai-team-os

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

FAQ

AI Team OS 如何与 Claude Code 集成？

它完全通过 MCP 协议在 Claude Code 内运行，不需要外部 API 调用或额外订阅。它增强了 Claude Code 的自主操作能力，同时使用相同的订阅。

它与其他 AI 智能体框架有何不同？

与 CrewAI、AutoGen 或 LangGraph 不同，AI Team OS 专门为 Claude Code 设计，具有深度 MCP 集成，提供无需持续提示的自主操作、结构化会议系统以及通过故障炼金术实现的自我完善能力。

AI-company 对比