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NeoSmith Just Do It: Autonomous Task Execution System with Multi-Agent Collaboration

A general-purpose autonomous agent system that adopts a multi-agent review pipeline architecture, supports 6 workflow modes, and provides a flexible framework for the automated execution of complex tasks.

AI Agent多智能体系统自主智能体任务自动化工作流引擎智能体协作开源AI
Published 2026-04-12 13:46Recent activity 2026-04-12 13:52Estimated read 5 min
NeoSmith Just Do It: Autonomous Task Execution System with Multi-Agent Collaboration
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Section 01

Introduction / Main Floor: NeoSmith Just Do It: Autonomous Task Execution System with Multi-Agent Collaboration

A general-purpose autonomous agent system that adopts a multi-agent review pipeline architecture, supports 6 workflow modes, and provides a flexible framework for the automated execution of complex tasks.

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Section 02

Project Overview

NeoSmith Just Do It is an open-source general-purpose autonomous agent system. It achieves automated execution of complex tasks through an innovative multi-agent review pipeline architecture. The system supports 6 distinct workflow modes, capable of adapting to various application scenarios ranging from simple instructions to complex projects. In the current context of booming AI Agent development, this project offers a practical and scalable technical solution.

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Section 03

Multi-Agent Collaboration Model

Unlike traditional single-agent systems, NeoSmith adopts a multi-agent collaboration design:

  • Task Decomposition Agent: Responsible for breaking down complex tasks into executable subtasks
  • Execution Agent: Focuses on the implementation of specific tasks
  • Review Agent: Conducts quality checks on execution results and provides improvement suggestions
  • Coordination Agent: Manages communication between agents and task allocation

This division of labor and collaboration model simulates the working style of human teams, enabling the system to handle more complex tasks.

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Section 04

Review Pipeline Mechanism

The core innovation of the project lies in its review pipeline:

  1. First Draft Generation: Execution agents complete the initial draft of the task
  2. Multi-Dimensional Review: Multiple review agents evaluate results from different perspectives
  3. Feedback Integration: Coordination agents summarize review comments
  4. Iterative Improvement: Execution agents optimize based on feedback
  5. Quality Gating: Final results are output only after meeting preset standards

This mechanism ensures the stability and reliability of output quality.

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Section 05

Mode 1: Direct Execution Mode

The simplest mode, suitable for clear and simple tasks. Agents directly execute instructions and return results without complex collaboration processes.

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Section 06

Mode 2: Single-Round Review Mode

A quality review is conducted once after execution, suitable for tasks requiring basic quality assurance, such as code review and document proofreading.

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Section 07

Mode 3: Multi-Round Iteration Mode

The execution-review-improvement cycle can be repeated multiple times until quality standards are met. Suitable for tasks that require fine-tuning, such as creative writing and scheme design.

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Section 08

Mode 4: Parallel Exploration Mode

Multiple execution agents attempt different solutions simultaneously, and review agents select the optimal result. Suitable for tasks that need to explore multiple possibilities.