AI agents in Taskade are configurable AI teammates that live inside your workspace, run tasks on your projects, and can hand work off to one another. Each agent carries its own role, knowledge, model, and toolset, so you can assign it work the same way you would assign a person — and a Taskade Genesis workspace can run a whole team of them together.
TL;DR: Taskade AI agents are specialized AI teammates that read your projects, answer questions, generate content, and run tasks. Each ships with 34 built-in tools and a choice of 15+ frontier models. Build a coordinated team in minutes with Taskade Genesis.
┌─ Agent Settings ──────────────────────────────── Taskade ─┐
│ │
│ Name [ Research Analyst ] │
│ Avatar ( 🔬 ) │
│ │
│ Role / System Prompt │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ You research a topic, verify facts across sources, │ │
│ │ and return a sourced brief. Be concise. │ │
│ └──────────────────────────────────────────────────────┘ │
│ │
│ Model [ Frontier model ▾ ] OpenAI · Anthropic · │
│ Google · open-weight │
│ │
│ Tools (33 built-in) Knowledge │
│ [x] Web search [x] Project: Q3 Research │
│ [x] Code interpreter [x] Uploaded: market.pdf │
│ [x] File analysis [ ] Persistent memory │
│ [ ] Custom slash command [ ] Public embed │
│ │
│ Run on: ( ) This task (•) Whole project │
│ [ Cancel ] [ Save agent ] │
└────────────────────────────────────────────────────────────┘
Definition: AI agents are small, specialized programs powered by frontier large language models (LLMs) from OpenAI, Anthropic, Google, and open-weight providers. They can assist you with a range of work — answering questions, organizing tasks and projects, or generating content.
You can learn more about what AI agents are and how they are being used in our blog post.
Where Will You Find AI Agents inside of Taskade?
Interactions with AI agents happen via a chat interface or inside Taskade's project editor where you can activate agent actions with custom commands. An agent can work on a single or multiple tasks within a project.
How Do AI Agents Fit Into Workspace DNA?
AI agents are the Intelligence strand of Taskade's Workspace DNA — the self-reinforcing loop of Memory + Intelligence + Execution. Your projects hold the Memory (context, knowledge, tasks). Agents are the Intelligence that reads that Memory and decides what to do. Automations are the Execution that carries actions out, and every action feeds new Memory back in.
Can AI Agents Work Together as a Team?
Yes. A single agent handles one role, but Taskade can run several agents together as a coordinated team. In orchestration mode, a manager agent plans the steps and delegates each step to the right specialist, then a review step checks the result before it ships. This is how you turn one prompt into a full workflow — see multi-agent teams and agent orchestration for the deeper patterns.
What Can a Taskade AI Agent Do?
Each agent is configurable across role, model, tools, and knowledge. The table below maps the core capabilities.
| Capability | What it means for you |
|---|---|
| 34 built-in tools | Web search, code interpreter, file analysis, custom slash commands, persistent memory, public embedding, and more — toggle per agent |
| 15+ frontier models | Pick the best model per agent from OpenAI, Anthropic, Google, and open-weight providers |
| Project + chat surfaces | Run an agent inside the project editor with custom commands, or talk to it in AI Chat |
| Custom knowledge | Ground an agent in your projects or uploaded files so answers stay on-topic |
| Multi-agent collaboration | Combine agents into a team with a manager that plans, delegates, and reviews |
| 100+ bidirectional integrations | Pair agents with automations so triggers pull events in and actions push data out |
Frequently Asked Questions
What is an AI agent in Taskade?
An AI agent in Taskade is a specialized AI teammate that lives inside your workspace and carries out specific tasks within projects. Each agent has its own role, knowledge base, chosen model, and set of tools. You can assign it a single task or let it work across an entire project.
How many built-in tools does a Taskade AI agent have?
Every Taskade AI agent ships with 34 built-in tools, including web search, a code interpreter, file analysis, custom slash commands, persistent memory, and public embedding. You toggle the tools you want on a per-agent basis, so each teammate only carries the capabilities its role needs.
Can multiple AI agents collaborate on one project?
Yes. Taskade supports multi-agent collaboration and an orchestration mode where a manager agent plans the steps, delegates each step to the right specialist, and runs a review step before the result is finalized. This lets one prompt produce a complete, coordinated workflow instead of a single response.
Which AI models power Taskade agents?
Taskade agents can run on 15+ frontier models from OpenAI, Anthropic, Google, and open-weight providers. You choose the model per agent, so a research agent and a writing agent can each use the model best suited to their job within the same project.
How are AI agents different from automations?
AI agents are the Intelligence strand of Workspace DNA — they read your project context and decide what to do. Automations are the Execution strand that reliably carries actions out across 100+ bidirectional integrations. Agents reason and respond; automations run dependable, repeatable workflows. They work best together.
Where do I manage an agent's settings?
You configure an agent's name, role prompt, model, tools, and knowledge from its settings panel, then run it either on a single task or across the whole project. For step-by-step setup, see the agent tools guide and custom agents guide in Learn Taskade.
For More Information About AI Agents
For more information about custom agent commands, see the agent tools guide and the custom agents guide in Learn Taskade.
Related
- Automations — the Execution strand that runs your agents' actions
- AI Chat — talk to your agents in a chat interface
- Custom Agent Commands — trigger agent actions from the project editor
- Multi-Agent Teams — coordinate a team of specialized agents
- Agent Orchestration — manager-plans-and-delegates workflows
- AI Agents hub — explore the full agent platform
- Build an AI agent team (blog) — a hands-on no-code walkthrough
- Community Gallery — clone live apps that already use agents