Multi-Agent Collaboration

Build teams of specialized AI agents in Taskade that collaborate on projects, with Taskade EVE orchestrating handoffs, multi-agent patterns, and shared chat.

---

Table of Contents

• Overview

• Set Up Your AI Agents

• Team Up with AI Agents

• Use the Agent Sidebar

• Iterate on Output

• Chat with Agents & Your Team

• Copy / Duplicate Multi-Agents

• Share Agents

• Multi-Agent Architecture Patterns

• What's Next

---

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.

Specialized agents, Taskade EVE, and people coordinate around one shared project.

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 Taskade 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
Autonomous Agents (API)	Orchestrate multi-agent systems programmatically