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Strands Agents

AGENT

Model-driven approach to building AI agents in just a few lines of code. Multi-agent systems, autonomous agents, and streaming support with built-in MCP. Apache 2.0 licensed

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Overview

Free AI agent — Strands Agents. Model-driven approach to building AI agents in just a few lines of code. Multi-agent systems, autonomous agents, and streaming support with built-in MCP. Apache 2.0 licensed

What this agent does

Reach for "Strands Agents" whenever you need a reliable AI agent for real work across ChatGPT, Claude, Gemini, and Cursor. Model-driven approach to building AI agents in just a few lines of code. Multi-agent systems, autonomous agents, and streaming support with built-in MCP. Apache 2.0 licensed OpenRuna cross-links it to related prompts, agents, and tools, which makes assembling a full workflow around it straightforward. Copy it into your assistant of choice and sharpen the result with a couple of follow-up turns.

Use cases

  • Fork it as a baseline and layer in your own project context, constraints, and examples.
  • Keep it in a shared library as the canonical version of this AI agent for your organisation.
  • 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 "Strands Agents" 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

In Claude, paste the full AI agent as your first message or add it to Project instructions, then ask Claude to confirm assumptions before it executes. For longer AI agents, iterate inside the artifact panel.

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

In Cursor, lift the key instructions from this AI agent into .cursorrules or a SKILL.md file, then reference it in Agent mode with @ mentions. Keep the title in a comment so teammates can find it on OpenRuna.

Frequently asked questions

What is "Strands Agents"?
It is a AI agent listed on OpenRuna — Model-driven approach to building AI agents in just a few lines of code. Multi-agent systems, autonomous agents, and streaming support with built-in MCP. Apache 2.0 licensed You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
Is "Strands Agents" 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 "Strands Agents" 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 "Strands Agents"?
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