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 difference between an AI agent and GitHub Copilot?

GitHub Copilot suggests code inline as you type — you remain in full control of every keystroke. An AI coding agent takes a goal ("add OAuth login") and executes it autonomously: reads files, writes code, runs tests, and opens a pull request. The key difference is who drives. See our [guide to autonomous AI agents](/blog/autonomous-ai-agents/) for a deeper breakdown.

Is vibe coding the same as using GitHub Copilot?

Not quite. Vibe coding means directing AI with natural language and accepting its output with minimal review — it's a workflow, not a tool. You can vibe-code with Copilot, Cursor, or a full AI agent. But agents are better suited to vibe coding because they handle multi-step tasks end-to-end without constant prompting. Read more in our [vibe coding explainer](/blog/vibe-coding/).

Can GitHub Copilot work autonomously like an AI agent?

GitHub Copilot's agent mode and Copilot Workspace can handle multi-step tasks, but they still require human confirmation at key checkpoints. True autonomous agents (like those in cowork.ink or Claude Code) execute entire workflows with minimal interruption and maintain persistent context across a project. See our [GitHub Copilot coding agent guide](/blog/github-copilot-coding-agent/) for details.

When should I use an AI agent instead of Copilot?

Use Copilot-style assistance when you want to stay in control of every line — great for learning, security-sensitive code, or tight review processes. Switch to an AI agent when the task spans multiple files, requires planning, or you'd rather review output than write every line. Good rule of thumb: if it would take you more than 30 minutes and has a clear spec, give it to an agent.

Are AI coding agents replacing developers?

No — they're changing the job description. Developers using agents shift from writing code to directing, reviewing, and governing code. A 2025 arXiv study found that autonomous agent adoption increased code complexity by ~39% unless developers maintained active review oversight, which underscores that human judgment remains essential.

AI Agents vs. Copilot: Autonomous vs. Assisted Coding

AI agents vs Copilot explained: key differences, when to use each, and how vibe coding changes the equation. CLEAR comparison with real use cases. Read now.

Frequently Asked Questions

What is the difference between an AI agent and GitHub Copilot?: GitHub Copilot suggests code inline as you type — you remain in full control of every keystroke. An AI coding agent takes a goal ("add OAuth login") and executes it autonomously: reads files, writes code, runs tests, and opens a pull request. The key difference is who drives. See our [guide to autonomous AI agents](/blog/autonomous-ai-agents/) for a deeper breakdown.
Is vibe coding the same as using GitHub Copilot?: Not quite. Vibe coding means directing AI with natural language and accepting its output with minimal review — it's a workflow, not a tool. You can vibe-code with Copilot, Cursor, or a full AI agent. But agents are better suited to vibe coding because they handle multi-step tasks end-to-end without constant prompting. Read more in our [vibe coding explainer](/blog/vibe-coding/).
Can GitHub Copilot work autonomously like an AI agent?: GitHub Copilot's agent mode and Copilot Workspace can handle multi-step tasks, but they still require human confirmation at key checkpoints. True autonomous agents (like those in cowork.ink or Claude Code) execute entire workflows with minimal interruption and maintain persistent context across a project. See our [GitHub Copilot coding agent guide](/blog/github-copilot-coding-agent/) for details.
When should I use an AI agent instead of Copilot?: Use Copilot-style assistance when you want to stay in control of every line — great for learning, security-sensitive code, or tight review processes. Switch to an AI agent when the task spans multiple files, requires planning, or you'd rather review output than write every line. Good rule of thumb: if it would take you more than 30 minutes and has a clear spec, give it to an agent.
Are AI coding agents replacing developers?: No — they're changing the job description. Developers using agents shift from writing code to directing, reviewing, and governing code. A 2025 arXiv study found that autonomous agent adoption increased code complexity by ~39% unless developers maintained active review oversight, which underscores that human judgment remains essential.