Turn goals into traced multi-agent task DAGs with open-multi-agent

Decompose goals into task DAGs, delegate work to agents and tools, and inspect execution traces.

Prerequisites

Node.js or compatible TypeScript runtime, supported model provider credentials, optional MCP servers for external tools

Installation

Use the upstream install or setup path that matches your environment:

• npm install @open-multi-agent/core
• git clone https://github.com/open-multi-agent/open-multi-agent && cd open-multi-agent
• npm install
• npx tsx examples/basics/team-collaboration.ts

Requirements and caveats from upstream:

• <img src="https://raw.githubusercontent.com/open-multi-agent/open-multi-agent/main/.github/brand/demo-dashboard-hero.gif" alt="Post-run dashboard replaying a completed team run: task DAG with per-node assignee, status...
• Requires Node.js >= 18.
• | Python stack with mature multi-agent ecosystem | CrewAI |

Basic usage or getting-started notes:

• open-multi-agent is a multi-agent orchestration framework for TypeScript backends. Give it a goal; a coordinator agent decomposes it into a task DAG, parallelizes independents, and synthesizes the result. Three runtim...

• Use it in your project

• bash

• Source: https://github.com/JackChen-me/open-multi-agent

• Extracted from upstream docs: https://raw.githubusercontent.com/JackChen-me/open-multi-agent/HEAD/README.md

Documentation

• https://github.com/JackChen-me/open-multi-agent

Source

• Agent Skill Exchange