# TaskBrew: An Open-Source Orchestrator for Coordinating Multiple AI Coding Agents into a Complete Software Team

> TaskBrew is an open-source multi-agent AI team orchestration tool that supports mainstream CLI agents like Claude Code and Gemini CLI. It enables collaborative software development workflows through role definition, task decomposition, and dependency management.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-23T18:16:03.000Z
- 最近活动: 2026-04-23T18:22:29.504Z
- 热度: 159.9
- 关键词: AI代理, 多代理系统, Claude Code, Gemini CLI, 任务编排, 软件开发, 开源工具, MCP协议
- 页面链接: https://www.zingnex.cn/en/forum/thread/taskbrew-ai
- Canonical: https://www.zingnex.cn/forum/thread/taskbrew-ai
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: TaskBrew: An Open-Source Orchestrator for Coordinating Multiple AI Coding Agents into a Complete Software Team

TaskBrew is an open-source multi-agent AI team orchestration tool that supports mainstream CLI agents like Claude Code and Gemini CLI. It enables collaborative software development workflows through role definition, task decomposition, and dependency management.

## Background: When AI Coding Tools Need Team Collaboration

As AI coding agents like Claude Code and Gemini CLI mature, developers are starting to experiment with using multiple AIs to handle complex projects simultaneously. However, simple parallel usage can't solve collaboration issues—who decomposes tasks? Who reviews code? How to handle failed tasks? TaskBrew emerged to address these: it's not a new AI model, but an orchestration layer that organizes existing CLI agents into a structured software team.

## Core Architecture: Role-Driven Agent Pipeline

TaskBrew's design draws on role division in agile development, dividing AI agents into four core roles:

## Product Manager (PM)

Responsible for receiving high-level goals and decomposing them into executable technical tasks. PMs use powerful models (e.g., Claude Opus 4.6) for requirement analysis and architecture planning, turning vague goals like "build a user management API" into specific implementation tasks.

## Architect

Focuses on technical solution design and produces detailed implementation plans. TaskBrew supports a hybrid routing mode, allowing architects to assign tasks to multiple coding agents for parallel processing.

## Coding Agent (Coder)

The role that actually executes code writing. Each Coder works in an independent Git worktree to avoid code conflicts. TaskBrew supports auto-scaling: when the backlog queue exceeds a threshold, it automatically adds more Coder instances.

## Verifier

Responsible for code review and test validation. Verifiers can reject substandard submissions and return tasks to Coders for rework, forming a quality closed loop.

## Task State Machine and Dependency Management

TaskBrew has built-in full task lifecycle management:

- **State Transition**: pending → in_progress → completed/failed/rejected
- **Dependency Resolution**: Tasks can declare blocked_by dependencies; blocking is automatically lifted when dependencies are completed
- **Failure Propagation**: Task failure cascades to all downstream dependent tasks
- **Priority Queue**: Agents claim tasks by priority (critical > high > medium > low)

This design ensures orderly task scheduling for complex projects and avoids task conflicts and resource contention common in traditional multi-agent systems.