Turn a user goal into a planned multi-agent task DAG, execute independent tasks in parallel, and trace the run from a TypeScript backend.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Orchestrate goal-driven TypeScript agent teams with Open Multi Agent"
slug: "orchestrate-goal-driven-typescript-agent-teams-with-open-multi-agent"
description: "Turn a user goal into a planned multi-agent task DAG, execute independent tasks in parallel, and trace the run from a TypeScript backend."
github_stars: 6088
verification: "security_reviewed"
source: "https://github.com/open-multi-agent/open-multi-agent"
author: "open-multi-agent"
publisher_type: "organization"
category: "Templates & Workflows"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "open-multi-agent/open-multi-agent"
github_stars: 6088
npm_package: "@open-multi-agent/core"
npm_weekly_downloads: 0
---
# 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/)
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