agno-team

Create and manage multi-agent teams with Agno coordination modes.

4|Updated Feb 19, 2026

Search Tags:#collaboration #multi-agent #agent orchestration #coordination #team #agno

Ready to run

npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-team

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agno-team
Source: https://github.com/ajshedivy/agno-cookbook/tree/main/plugins/agno-framework/skills/agno-team
Command: npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-team

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the creation and management of multi-agent systems, enabling complex tasks to be broken down and executed by specialized agents.

Core Features & Use Cases

Team Creation: Define teams with specialized member agents.
Coordination Modes: Utilize coordinate, route, and broadcast modes for flexible collaboration.
Use Case: Build a research team where one agent gathers information, another analyzes it, and a third writes a report, all coordinated by a team leader.

Quick Start

Create a research team with a researcher and a writer agent to write an overview of LLM training.

Frequently Asked Questions about agno-team

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I orchestrate multi-agent collaboration for complex task decomposition?▼

You can orchestrate multi-agent collaboration by defining a team with specialized member agents and selecting a coordination mode. The Agno framework supports coordinate, route, and broadcast modes to manage complex task decomposition and execution.

What is the difference between coordinate, route, and broadcast modes in multi-agent systems?▼

In multi-agent systems, coordinate, route, and broadcast modes dictate how agents interact. These modes facilitate flexible collaboration by managing how tasks are delegated, information is shared, and specialized agents communicate during execution.

How do I create a multi-agent research team with specialized roles?▼

You create a multi-agent research team by defining specialized member agents, such as a researcher and a writer. The team leader coordinates these agents to gather information, analyze it, and write reports based on the decomposed tasks.

Can I use persistent storage for multi-agent team sessions?▼

Yes, you can use shared storage to maintain persistent team sessions. The framework supports shared storage capabilities, allowing multi-agent teams to retain session state and context across complex collaborative workflows.

What is the best way to manage agent specialization in a multi-agent framework?▼

The best way to manage agent specialization is by defining distinct roles for each team member. The framework enables agent specialization through role definition, allowing each agent to focus on specific tasks like research or writing within a coordinated team.