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 an AI integration platform?

An AI integration platform is middleware that connects AI agents to external apps, APIs, and data sources. Unlike traditional iPaaS, it's built for agentic workloads: real-time tool calling, managed OAuth, rate limiting, and observability. Examples include Zapier, n8n, Composio, and Workato.

What is the difference between iPaaS and an AI integration platform?

Traditional iPaaS (like MuleSoft or Boomi) was built for scheduled ETL pipelines and trigger-action flows. AI integration platforms add agent-specific capabilities: mid-reasoning tool calls, just-in-time auth tokens, burst rate limiting, and MCP protocol support. Many iPaaS vendors are now adding these features; purpose-built tools like Composio started with them.

What is MCP and why does it matter for AI integrations?

MCP (Model Context Protocol) is an open standard — introduced by Anthropic in 2024 — that lets AI agents connect to tools and data sources through a single universal protocol. Think of it as USB-C for AI. With MCP, each tool publishes one server and every compliant agent can connect to it, eliminating custom integration code. See our [Model Context Protocol guide](/blog/model-context-protocol/) for a full breakdown.

Is Zapier an AI integration platform?

Yes, with caveats. Zapier offers 8,000+ integrations and now supports AI agents and 8,000+ MCP servers — making it the broadest ecosystem available. However, it's cloud-only, expensive at scale, and best for non-technical teams running moderate-complexity automations. Developer teams building production agents typically need Composio, Nango, or n8n.

Can I self-host an AI integration platform?

Yes. n8n is the leading open-source, self-hostable option — the Community Edition is free with unlimited executions. It offers 70+ native AI/LangChain nodes and full data sovereignty. For personal automation on a private server, [GoGogot](https://go-go-got.com) is a lightweight self-hosted AI agent with 27 built-in tools, deployable in one Docker command.

AI Integration Platforms: Connect Your AI Agents to 1,000+ Apps

The BEST AI integration platforms for connecting agents to 1,000+ apps. Compare Zapier, n8n, Composio & Workato. Find the RIGHT fit for your team!

Frequently Asked Questions

What is an AI integration platform?: An AI integration platform is middleware that connects AI agents to external apps, APIs, and data sources. Unlike traditional iPaaS, it's built for agentic workloads: real-time tool calling, managed OAuth, rate limiting, and observability. Examples include Zapier, n8n, Composio, and Workato.
What is the difference between iPaaS and an AI integration platform?: Traditional iPaaS (like MuleSoft or Boomi) was built for scheduled ETL pipelines and trigger-action flows. AI integration platforms add agent-specific capabilities: mid-reasoning tool calls, just-in-time auth tokens, burst rate limiting, and MCP protocol support. Many iPaaS vendors are now adding these features; purpose-built tools like Composio started with them.
What is MCP and why does it matter for AI integrations?: MCP (Model Context Protocol) is an open standard — introduced by Anthropic in 2024 — that lets AI agents connect to tools and data sources through a single universal protocol. Think of it as USB-C for AI. With MCP, each tool publishes one server and every compliant agent can connect to it, eliminating custom integration code. See our [Model Context Protocol guide](/blog/model-context-protocol/) for a full breakdown.
Is Zapier an AI integration platform?: Yes, with caveats. Zapier offers 8,000+ integrations and now supports AI agents and 8,000+ MCP servers — making it the broadest ecosystem available. However, it's cloud-only, expensive at scale, and best for non-technical teams running moderate-complexity automations. Developer teams building production agents typically need Composio, Nango, or n8n.
Can I self-host an AI integration platform?: Yes. n8n is the leading open-source, self-hostable option — the Community Edition is free with unlimited executions. It offers 70+ native AI/LangChain nodes and full data sovereignty. For personal automation on a private server, [GoGogot](https://go-go-got.com) is a lightweight self-hosted AI agent with 27 built-in tools, deployable in one Docker command.