AI Agents

Definition: An AI agent in Taskade is a configurable AI teammate that lives inside your workspace. It has its own role, knowledge, model, and tools, so it can read your projects, answer questions, draft content, and act on tasks. You assign it work the same way you assign a person.

TL;DR: Taskade AI agents are specialized AI teammates that read your projects, use built-in tools, remember context across chats, and work together as a team. Each agent can run on a model from frontier models from top AI labs, and you can publish or embed any agent. Build one in the Agents tab, or describe a whole app at Taskade Genesis.

┌─ Agent Settings ──────────────────────────────── Taskade ─┐
│                                                            │
│  Name      [ Research Analyst                        ]     │
│  Avatar    ( 🔬 )                                          │
│                                                            │
│  Role / System Prompt                                      │
│  ┌──────────────────────────────────────────────────────┐ │
│  │ You research a topic, check facts across sources,    │ │
│  │ and return a sourced brief. Be concise.              │ │
│  └──────────────────────────────────────────────────────┘ │
│                                                            │
│  Model     [ Auto  ▾ ]   frontier models                   │
│                                                            │
│  Tools                      Knowledge                      │
│  [x] Web search             [x] Project: Q3 Research       │
│  [x] Code execution         [x] Uploaded: market.pdf       │
│  [x] File analysis          [x] Persistent memory          │
│  [ ] Custom slash command   [ ] Public embed               │
│                                                            │
│                              [ Cancel ]   [ Save agent ]   │
└────────────────────────────────────────────────────────────┘

Where Will You Find AI Agents inside of Taskade?

Open the Agents tab at the top of a workspace to create and manage agents. You talk to an agent in a chat, in AI Chat, or inside the project editor, where custom commands trigger agent actions. An agent can work on one task or across a whole project. You can also ask Taskade EVE to create an agent for you, or start from the AI Agent Generator. The step-by-step version lives in the custom agents guide.

Why AI Agents Matter in 2026

A chatbot answers. An agent takes a job and does part of it. Analyst firms expect that shift to reach everyday software fast. In August 2025 Gartner predicted that 40% of enterprise applications will be integrated with task-specific AI agents by 2026, up from less than 5% in 2025 (Gartner press release). The same release predicts that by 2027 one-third of agentic AI implementations will combine agents with different skills to handle complex tasks. That is the pattern Taskade builds around: specialized agents that share one workspace. For the broader idea, see agentic AI.

How Do AI Agents Fit Into Workspace DNA?

AI agents are the Intelligence strand of Taskade's Workspace DNA, the 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 writes results back into Memory. A workspace with more content gives agents more to read, so the answers get more specific. The agents themselves do not train on their own. See Workspace DNA for the full loop.

How Does a Taskade Agent Work?

An agent reads its context, picks a tool, and returns a result you can review. Here is the flow for one request.

1. Define the role. Name the agent and write what it does, in plain English.
2. Add knowledge. Point it at projects, files, links, or media so answers stay grounded in your work. See agent knowledge.
3. Turn on tools. Toggle the tools the role needs. Each agent only carries what its job requires. See agent tools.
4. Choose a model. Auto is the default, or pick a specific model per agent.
5. Run or share it. Use it in chat and projects, or publish it as a public link or website widget.

Can AI Agents Work Together as a Team?

Yes. A single agent handles one role, and Taskade can group several agents into an AI Team. In AI Team chat, a team has four execution modes:

The Ask Agent Team automation step offers Auto, Everyone, and Orchestrate. Orchestrate is how one prompt becomes a full workflow. See multi-agent teams and agent orchestration for the deeper patterns, and the AI Teams guide for setup.

What Can a Taskade AI Agent Do?

Each agent is configurable across role, model, tools, and knowledge. The table maps the core capabilities.

Agents read the web: they search and fetch pages. They do not drive a browser, click buttons, or fill in forms.

Agents Compared With Related Tools

Common Mistakes

• Vague roles. "Help with marketing" gives weak results. Name the job, the audience, and the output format.
• Too many tools. Turn on only what the role needs. A focused agent picks the right tool faster.
• No knowledge. An agent with no projects or files to read falls back on general answers. Connect the projects that hold your facts.
• Using an agent for a fixed routine. If the steps never change, build an automation and let an agent handle only the judgment step.
• Skipping review on actions. For tools that change data, keep approval on until you trust the result.

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 work within projects. Each agent has its own role, knowledge, chosen model, and tools. You can assign it a single task or let it work across an entire project.

What tools do Taskade AI agents have?

Every Taskade AI agent can use built-in tools for web search, reading web pages, running code, analyzing files, generating images, and acting on projects and tasks. You toggle the tools you want per agent, and you can add custom tools and slash commands. See the agent tools guide.

Can multiple AI agents collaborate on one project?

Yes. Group agents into an AI Team and pick Auto, Everyone, Manual, or Orchestrate in chat. Orchestrate plans the work and hands each step to an agent, so one prompt can produce a coordinated result instead of a single reply.

Which AI models power Taskade agents?

Taskade agents run on frontier models from top AI labs, with TSK-Auto as the default. Built in, with no key, paid plans can pick OpenAI GPT models, xAI Grok and open-weight models such as DeepSeek, Qwen, Kimi and GLM for each agent, so a research agent and a writing agent can use different models in the same project. On Enterprise, you can bring your own OpenAI, Anthropic or Google Vertex AI API key (BYOK), so Claude runs in your agents on your own Anthropic account. Model lineup as of October 2026.

Do Taskade AI agents remember previous conversations?

Yes. Agents keep persistent memory across chats, and you can ground them in your projects, files, links, and media. The agent reads what your workspace contains. More content in the workspace means more context to draw on.

Can I share an AI agent publicly or embed it on my website?

Yes. Publish an agent from its Publish tab to get a public chat link, or embed it as a widget on your own site. See public agents and agent widgets.

How are AI agents different from automations?

Agents are the Intelligence strand of Workspace DNA. They read project context and decide what to do. Automations are the Execution strand that carries out repeatable steps across 100+ bidirectional integrations. Agents reason and respond, and automations run dependable workflows. They work best together.

Can Taskade agents browse websites and click buttons?

No. Agents search the web and read pages, but they do not operate a browser or fill in forms. For website data, use the search and page-reading tools.

For More Information About AI Agents

For step-by-step setup, see the custom agents guide, the agent tools guide, and the agent knowledge guide in Learn Taskade. For a no-code walkthrough of a full team, read how to build an AI agent team.

What Would You Build With AI Agents?

You already run a version of this in your head. The research someone keeps redoing, the status updates someone keeps chasing, the reply someone keeps rewriting. Those are agent jobs waiting for a home.

Describe that work to Taskade Genesis and you get an ops dashboard your whole team opens each morning. One tile shows the queue of incoming requests. A research agent pulls the background, a writer agent drafts the response, and an AI Team plans the steps between them. Your team sees the finished work and the live status, and 100+ integrations connect the tools around it.

Describe yours and build it free →

Related

• Automations: the Execution strand that runs repeatable steps
• 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: plan-and-delegate workflows
• Public Agents: publish an agent for visitors
• Agentic AI: the wider concept behind agents
• AI Agents hub: explore the full agent platform
• Community Gallery: clone live apps that already use agents