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Multi-Agents


Table of Contents


Overview

Multi-Agents lets you assign multiple AI agents to work together on projects, tasks, and conversations. Instead of relying on a single generalist AI, you create teams of specialized agents that collaborate — each bringing domain expertise, unique knowledge, and specific tools.

Workspace DNA impact: Multi-agent teams amplify the Intelligence pillar. Each agent contributes +10 points to your Intelligence Score, and teams create compounding intelligence through specialization.

Plan note: Multi-Agent Teams are available on Business+ plans.


Set Up Your AI Agents

Method 1: Build from Scratch

Step Action
1 Open the Agents tab in your workspace
2 Click Create Agent
3 Configure: name, persona, tone, knowledge, tools
4 Repeat for each specialized agent in your team

Method 2: Use Templates

Step Action
1 Browse the agent template library
2 Select pre-built agent templates for each role
3 Customize each agent for your specific use case

Method 3: Auto-Generate a Team with AI

The fastest way to create a multi-agent team:

Step Action
1 Open the Agents tab
2 Click Create Agent Team
3 Describe your team in plain English (e.g., "I need a marketing team with a content writer, SEO specialist, social media manager, and analytics analyst")
4 AI generates the complete team with specialized agents, knowledge sources, and tool configurations
5 Review and customize each agent as needed

Pro tip: Auto-generated teams include appropriate personas, knowledge connections, and tool assignments based on your description. You can always fine-tune each agent individually afterward.

Example team setup:

Agent Specialty Knowledge Tools
Research Agent Data gathering, web search Industry reports, competitor URLs Search Web, Scrape Webpage
Analyst Agent Data analysis, insights Historical data projects, KPIs Google Sheets, Custom Fields
Writer Agent Content creation, copywriting Brand guidelines, tone docs Google Docs, WordPress
Coordinator Agent Task management, routing Team structure, processes Slack, Google Calendar, Taskade Actions

Team Up with AI Agents

Assign a Single Agent

Step Action
1 Open a project or task
2 Click the Agent icon
3 Select an agent from your workspace
4 The agent now has context for that specific project/task

Assign Multiple Agents

Step Action
1 Open a project
2 Click the Agent icon
3 Select multiple agents for the project
4 Each agent applies its specialty to the project

Bulk-Assign Agents

Step Action
1 Select multiple tasks or projects
2 Use bulk actions to assign agents
3 Agents are assigned to all selected items

Use the Agent Sidebar

Feature Detail
Access Click the Agent icon in the sidebar
Switch agents Toggle between assigned agents mid-conversation
Context awareness Agent sees the project/task you're currently viewing
Tool access All enabled tools are available in the sidebar
History Conversation history preserved per agent

Iterate on Output

Multi-agent output can be refined iteratively:

Technique Example
Sequential refinement Research Agent drafts → Writer Agent refines → Reviewer Agent checks
Parallel generation Multiple agents tackle different sections simultaneously
Feedback loop Ask one agent to critique another agent's output
Role switching "Now have the Analyst Agent review what the Writer Agent produced"

Chat with Agents & Your Team

Multi-agent chats support both AI agents and human team members in the same conversation:

Participant Role
AI Agents Respond based on knowledge and tools
Human team members Provide direction, make decisions, add context
EVE Orchestrates and can invoke other agents

Tip: @mention specific agents in chat to direct questions or tasks to them.


Copy / Duplicate Multi-Agents

Action How Result
Copy an agent Agent settings → Duplicate Creates an identical copy you can customize
Copy a team Duplicate the project with agent assignments All agents and their assignments are copied
Share across workspaces Publish agent publicly → Clone in another workspace Agent config is replicated (knowledge may need re-linking)

Share Agents

Sharing Method Scope How
Within workspace Team members Agents are available to all workspace members by default
Cross-workspace Other workspaces Publish publicly → Clone
Public Anyone Publish with public toggle
Embedded in Genesis app App users Add agent chat widget to your Genesis app

Multi-Agent Architecture Patterns

Pattern Description Best For Example
Sequential Pipeline Agent A → Agent B → Agent C (output flows linearly) Content creation, data processing Research → Write → Review
Hub and Spoke Central coordinator routes to specialists Customer support, complex queries Coordinator → routes to Sales/Support/Billing
Parallel Fan-Out Multiple agents work simultaneously Report generation, data analysis Finance + Marketing + Operations agents each analyze their domain
Debate / Review Agents critique each other's work Quality control, decision-making Proposal Agent creates → Critic Agent reviews → Proposal Agent revises
Escalation Chain Start with generalist, escalate to specialist Support tiers, triage Tier 1 Agent → Tier 2 Specialist → Human escalation

What's Next

Guide What You'll Learn
Custom AI Agents Build individual agents
Agent Knowledge & Memory Train agents with domain knowledge
Tools for AI Agents Add capabilities to each agent
Automations Connect agents to automated workflows