What AI models does the agent use?

The agent has access to Claude, DeepSeek, Gemini, and other top models. It automatically routes to the best model for each task — you never have to think about API keys or token limits.

Yes. Each agent runs in an isolated environment. We don't train on your data, and you can export or delete everything at any time. The underlying engine (GoGogot) is open-source, so you can audit exactly how it works.

What can the agent actually do?

Browse the web, process files (CSV, PDF, images), run scheduled tasks, remember context across sessions, and communicate via Telegram or Slack. Think of it as a capable junior employee, not a chatbot.

How does memory work?

The agent maintains persistent memory across sessions. It remembers your preferences, past conversations, and task context. You can also explicitly tell it to remember or forget things.

Can I self-host the agent?

Absolutely. GoGogot is 100% open-source. Run it on your own hardware for free. cowork.ink is the managed version — we handle servers, model costs, updates, and uptime so you don't have to.

Is there a free trial?

We offer a 7-day money-back guarantee. Spin up an agent, give it real tasks, and if it doesn't save you time, we'll refund you — no questions asked.

What are the main types of AI agents?

The five foundational types are: simple reflex agents, model-based reflex agents, goal-based agents, utility-based agents, and learning agents. These are further grouped by architecture (reactive, deliberative, hybrid) and by modern application type (coding agents, voice agents, browser agents, multi-agent systems).

What is the difference between a goal-based and utility-based agent?

Both plan ahead, but utility-based agents also weigh the quality of outcomes. A goal-based agent asks "can I reach the goal?" A utility-based agent asks "which path to the goal is best?" — optimizing for speed, cost, safety, or any combination of factors you define.

What type of AI agent is ChatGPT?

In its base form, ChatGPT is a tool-augmented LLM, closer to a goal-based agent. With tools like web search and code execution enabled, it gains model-based and learning-agent properties. True agentic ChatGPT behavior (multi-step planning, autonomous tool use) requires the Assistants API with function calling.

What is a multi-agent system?

A multi-agent system (MAS) is a network of individual AI agents that collaborate to complete tasks too complex for a single agent. Each agent specializes in one function — planning, coding, review, communication — and they share context, delegate subtasks, and check each other's work.

Which type of AI agent is best for enterprise use?

For most enterprise workflows, goal-based or utility-based agents running inside a multi-agent system deliver the best results. They can plan complex workflows, use external tools, and hand off between specialized sub-agents — while a platform like cowork.ink provides the shared workspace and orchestration layer your team needs.

Types of AI Agents: A Complete Classification Guide

Simple reflex, model-based, goal-based, utility, learning, multi-agent — every AI agent type explained with examples. Updated for 2026.

Frequently Asked Questions

What are the main types of AI agents?: The five foundational types are: simple reflex agents, model-based reflex agents, goal-based agents, utility-based agents, and learning agents. These are further grouped by architecture (reactive, deliberative, hybrid) and by modern application type (coding agents, voice agents, browser agents, multi-agent systems).
What is the difference between a goal-based and utility-based agent?: Both plan ahead, but utility-based agents also weigh the quality of outcomes. A goal-based agent asks "can I reach the goal?" A utility-based agent asks "which path to the goal is best?" — optimizing for speed, cost, safety, or any combination of factors you define.
What type of AI agent is ChatGPT?: In its base form, ChatGPT is a tool-augmented LLM, closer to a goal-based agent. With tools like web search and code execution enabled, it gains model-based and learning-agent properties. True agentic ChatGPT behavior (multi-step planning, autonomous tool use) requires the Assistants API with function calling.
What is a multi-agent system?: A multi-agent system (MAS) is a network of individual AI agents that collaborate to complete tasks too complex for a single agent. Each agent specializes in one function — planning, coding, review, communication — and they share context, delegate subtasks, and check each other's work.
Which type of AI agent is best for enterprise use?: For most enterprise workflows, goal-based or utility-based agents running inside a multi-agent system deliver the best results. They can plan complex workflows, use external tools, and hand off between specialized sub-agents — while a platform like cowork.ink provides the shared workspace and orchestration layer your team needs.