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Multi-Agent Engine v8

基于 Node.js 的多智能体编排 Skill,面向目标驱动的深度研究与项目协作:先由用户确认提纲,再拆分子代理任务并行执行,经校验复核与聚合后生成结构化报告。内置状态机、重试与超时降级、模型选择与环境检测等模块,并提供流程与模块说明文档。

bjmrcft-hash
bjmrcft-hash
热度 39.86
最近更新 2026-05-18 11:48:26
分类:自动化依赖:代码执行 / 读写文件 / 内部调用大模型应用场景:研究 / 报告撰写 / 工作流 / 任务管理 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add multi-agent-engine-v8
Metadata
name
multi-agent-engine-v8
description
Multi-Agent Orchestrator v8.2.1 - Enhanced stability (Node.js v24 compatibility, lazy environment detection, third-party environment adaptation). Supports goal-driven research, task decomposition, parallel execution, validation review, and smart decisions.

Multi-Agent Orchestrator v8.2.1

Goal-driven deep research and project collaboration system with multi-agent parallel execution.

Key Features

  • Lazy environment detection - No blocking on module load
  • Node.js v24 compatibility - Warnings for compatibility issues
  • openclaw.json size protection - 5MB limit
  • Simplified model pool - No hardcoded model IDs

Commands

# Environment check
multi-agent check_env

# Start workflow
multi-agent run --goal "Research topic"

# Generate plan
multi-agent plan --goal "Research topic"

# View help
multi-agent help

Requirements

  • OpenClaw: 2026.3.x+
  • Node.js: 20.5+ (recommended: 20 LTS or 22 LTS)

Changelog

  • v8.2.1: No hardcoded model IDs (adapts to third-party environments)
  • v8.2.0: Node.js v24 compatibility + environment detection optimization
  • v8.1.0: Active polling monitor + timeout degradation
  • v8.0.0: Token optimization + JSON constraint output