使用 Open Multi Agent 协调目标驱动的 TypeScript 代理团队
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/1991513ccie-png/skills && 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/1991513ccie-png/skills
- Extracted from upstream docs: https://raw.githubusercontent.com/open-multi-agent/open-multi-agent/HEAD/README.md
Documentation
- https://github.com/1991513ccie-png/skills
