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Open Multi-Agent

AGENT

TypeScript-native multi-agent orchestration with multi-model teams and parallel execution. Automatically converts goals to task DAGs. MIT licensed

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Overview

Open Multi-Agent: a free, copy-ready AI agent on OpenRuna. TypeScript-native multi-agent orchestration with multi-model teams and parallel execution. Automatically converts goals to task DAGs. MIT licensed

What this agent does

Looking for a dependable AI agent? "Open Multi-Agent" gives you a tested starting point instead of a blank prompt box. TypeScript-native multi-agent orchestration with multi-model teams and parallel execution. Automatically converts goals to task DAGs. MIT licensed On OpenRuna it sits inside a connected graph of related AI agents, tools, and datasets, so branching into adjacent resources is one click away. Paste it straight into a chat, drop it into a system prompt, or store it as a reusable skill.

Use cases

  • Use "Open Multi-Agent" when you need a repeatable AI agent for professional work without rewriting instructions every time.
  • Hand "Open Multi-Agent" to a new teammate so their AI agent output matches your team's quality bar from day one.
  • Combine it with related tools and prompts in the same OpenRuna category to build an end-to-end workflow.
  • Reach for it during planning or review sessions when you want consistent, AI-assisted structure.

Example output

Ask the model to apply "Open Multi-Agent" to your scenario and it returns a structured answer — clear sections, actionable steps, and assumptions stated upfront — ready to paste into docs, tickets, or code comments. A short follow-up turn usually tightens the result to exactly what you need.

Tips by platform

Claude

With Claude, drop this AI agent into Project knowledge so every chat in the project inherits it. Ask Claude to restate the goal first, then run — it catches edge cases early.

ChatGPT

ChatGPT responds well when you paste this AI agent and immediately give one concrete example of your input. Use a reasoning-capable model for multi-step work.

Cursor

Cursor users can store this AI agent as a project rule so Agent mode applies it automatically. Mention it with @ when you want it scoped to a single task.

Frequently asked questions

What is "Open Multi-Agent"?
It is a AI agent listed on OpenRuna — TypeScript-native multi-agent orchestration with multi-model teams and parallel execution. Automatically converts goals to task DAGs. MIT licensed You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
Is "Open Multi-Agent" free to use?
Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.
How do I get the best results from this AI agent?
Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.
Does "Open Multi-Agent" work with both Claude and ChatGPT?
Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.
Where can I find resources related to "Open Multi-Agent"?
Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.

Related resources