# Orchestrate goal-driven TypeScript agent teams with Open Multi Agent

> Turn a user goal into a planned multi-agent task DAG, execute independent tasks in parallel, and trace the run from a TypeScript backend.

- Skill: `agentskillexchange/orchestrate-goal-driven-typescript-agent-teams-with-open-mul` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/orchestrate-goal-driven-typescript-agent-teams-with-open-mul`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/orchestrate-goal-driven-typescript-agent-teams-with-open-mul/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/orchestrate-goal-driven-typescript-agent-teams-with-open-mul

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# Orchestrate goal-driven TypeScript agent teams with Open Multi Agent

Turn a user goal into a planned multi-agent task DAG, execute independent tasks in parallel, and trace the run from a TypeScript backend.

## Prerequisites

Node.js >= 18, npm, API keys for selected model providers or local model provider, optional MCP servers

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

## Documentation

- https://github.com/open-multi-agent/open-multi-agent

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/orchestrate-goal-driven-typescript-agent-teams-with-open-multi-agent/)