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 is the main difference between an AI agent and an AI assistant?

The core difference is autonomy. An AI assistant waits for your prompt and helps you complete a task — you stay in the driver's seat. An AI agent pursues a goal on its own: it plans the steps, executes actions across tools and systems, and adapts when something goes wrong — without step-by-step human direction.

Can an AI assistant become an AI agent?

Not by adding features alone — it requires an architectural redesign. True agentic behavior requires a reasoning loop (perceive → plan → act → evaluate), persistent memory across sessions, and the ability to call external tools. Most AI assistants lack all three by design. Platforms like [cowork.ink](https://cowork.ink) are built agent-first from the ground up.

Is ChatGPT an AI agent or an AI assistant?

ChatGPT in its default chat mode is an AI assistant — it responds to prompts but doesn't act autonomously. However, ChatGPT with tool use (browsing, code execution, custom GPTs) and the newer "Operator" mode move toward agentic behavior, though they still require significant human direction compared to dedicated AI agents.

Which is better for a team — an AI agent or an AI assistant?

For most teams, the answer is both — used for different things. AI assistants excel at one-off tasks requiring human judgment: drafting a strategy doc, reviewing a proposal, brainstorming. AI agents excel at recurring, multi-step workflows: processing support tickets, running nightly reports, scheduling meetings across time zones. See our [guide to AI agent use cases](/blog/ai-agent-use-cases/) for a full breakdown by team type.

Do AI agents replace AI assistants?

No — they complement each other. An AI agent handles the autonomous background work (monitoring, multi-step execution, integrations). An AI assistant remains the best tool for interactive, nuanced, judgment-heavy tasks where you want to stay in control. Most high-performing teams in 2026 use both in parallel.

AI Agent vs. AI Assistant: Which Do You Need?

AI agents and AI assistants are NOT the same. Learn the REAL differences in autonomy, memory & task scope — and pick the right one for your team. Read now!

Frequently Asked Questions

What is the main difference between an AI agent and an AI assistant?: The core difference is autonomy. An AI assistant waits for your prompt and helps you complete a task — you stay in the driver's seat. An AI agent pursues a goal on its own: it plans the steps, executes actions across tools and systems, and adapts when something goes wrong — without step-by-step human direction.
Can an AI assistant become an AI agent?: Not by adding features alone — it requires an architectural redesign. True agentic behavior requires a reasoning loop (perceive → plan → act → evaluate), persistent memory across sessions, and the ability to call external tools. Most AI assistants lack all three by design. Platforms like [cowork.ink](https://cowork.ink) are built agent-first from the ground up.
Is ChatGPT an AI agent or an AI assistant?: ChatGPT in its default chat mode is an AI assistant — it responds to prompts but doesn't act autonomously. However, ChatGPT with tool use (browsing, code execution, custom GPTs) and the newer "Operator" mode move toward agentic behavior, though they still require significant human direction compared to dedicated AI agents.
Which is better for a team — an AI agent or an AI assistant?: For most teams, the answer is both — used for different things. AI assistants excel at one-off tasks requiring human judgment: drafting a strategy doc, reviewing a proposal, brainstorming. AI agents excel at recurring, multi-step workflows: processing support tickets, running nightly reports, scheduling meetings across time zones. See our [guide to AI agent use cases](/blog/ai-agent-use-cases/) for a full breakdown by team type.
Do AI agents replace AI assistants?: No — they complement each other. An AI agent handles the autonomous background work (monitoring, multi-step execution, integrations). An AI assistant remains the best tool for interactive, nuanced, judgment-heavy tasks where you want to stay in control. Most high-performing teams in 2026 use both in parallel.