# open-multi-agent

> TypeScript multi-agent orchestration framework. Describe a goal, a coordinator decomposes it into a task DAG that runs on any LLM: Claude, ChatGPT, Gemini, DeepSeek, or local models.

## Facts
- **Category:** [Agent Frameworks](https://agentsearchengine.app/category/agent-frameworks)
- **Type:** Framework
- **Pricing:** Open source
- **GitHub stars:** 6,705
- **Language:** TypeScript
- **License:** MIT
- **Last repo activity:** 1 day ago (Aug 2, 2026)
- **Official site:** https://open-multi-agent.com
- **Source code:** https://github.com/open-multi-agent/open-multi-agent
- **Listing on Agent Search Engine:** https://agentsearchengine.app/agents/open-multi-agent
- **Data verified:** July 2026

## About open-multi-agent
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. Drops into any Node.js backend. Graph-first frameworks make you enumerate every node and edge up front. OMA runs a dynamic workflow: the task DAG is built at runtime, so it adapts to the goal instead of being hand-wired for one. The coordinator emits that plan as data for a deterministic scheduler to execute, so the plan is inspectable and replayable. @open-multi-agent/core keeps a lightweight core. The orchestration engine plus the mainstream model providers (Anthropic, OpenAI, and any OpenAI-compatible endpoint) work out of the box; additional providers (Gemini, Bedrock), MCP, and the Vercel AI SDK bridge are opt-in peer dependencies you install only when you use them.

_From the project's README._

## Install

```
npm install @open-multi-agent/core
```

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