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Agent Squad

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

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Claude CodeCursorWindsurfVS CodeDeveloper tool

About

Agent Squad Flexible, lightweight open-source framework for orchestrating multiple AI agents to handle complex conversations.

📢 New Name Alert: Multi-Agent Orchestrator is now Agent Squad! 🎉 Same powerful functionalities, new catchy name. Embrace the squad!

📚 Explore Full Documentation

🔖 Features

  • 🧠 Intelligent intent classification — Dynamically route queries to the most suitable agent based on context and content.
  • 🔤 Dual language support — Fully implemented in both Python and TypeScript.
  • 🌊 Flexible agent responses — Support for both streaming and non-streaming responses from different agents.
  • 📚 Context management — Maintain and utilize conversation context across multiple agents for coherent interactions.
  • 🔧 Extensible architecture — Easily integrate new agents or customize existing ones to fit your specific needs.
  • 🌐 Universal deployment — Run anywhere - from AWS Lambda to your local environment or any cloud platform.
  • 📦 Pre-built agents and classifiers — A variety of ready-to-use agents and multiple classifier implementations available.

What's the Agent Squad ❓

The Agent Squad is a flexible framework for managing multiple AI agents and handling complex conversations. It intelligently routes queries and maintains context across interactions.

The system offers pre-built components for quick deployment, while also allowing easy integration of custom agents and conversation messages storage solutions.

This adaptability makes it suitable for a wide range of applications, from simple chatbots to sophisticated AI systems, accommodating diverse requirements and scaling efficiently.

🏗️ High-level architecture flow diagram

  1. 1.The process begins with user input, which is analyzed by a Classifier.
  2. 2.The Classifier leverages both Agents' Characteristics and Agents' Conversation history to select the most appropriate agent for the task.
  3. 3.Once an agent is selected, it processes the user input.
  4. 4.The orchestrator then saves the conversation, updating the Agents' Conversation history, before delivering the response back to the user.

Introducing SupervisorAgent: Agents Coordination

The Agent Squad now includes a powerful new SupervisorAgent that enables sophisticated team coordination between multiple specialized agents. This new component implements a "agent-as-tools" architecture, allowing a lead agent to coordinate a team of specialized agents in parallel, maintaining context and delivering coherent responses.

Don't lose this

Three weeks from now, you'll want Agent Squad again. Will you remember where to find it?

Save it to your library and the next time you need Agent Squad, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

Flexible and powerful framework for managing multiple AI agents and handling complex conversations. Best for anyone looking to make their AI assistant more capable in communication. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

What's New

Version 1.0.06 days ago

Imported from GitHub

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