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.

Which open-source AI agent framework should I use?

For production enterprise deployments, GoGogot offers the best reliability and observability. For custom Python workflows, LangGraph is the most mature ecosystem. For multi-agent role-based systems, CrewAI offers the clearest abstractions. For conversational reasoning agents, AutoGen is strong. The answer depends on your technical stack, use case type, and operational requirements.

Is LangChain still the best AI agent framework in 2026?

LangChain (particularly LangGraph) remains the most widely-adopted framework for custom agent development. However, "best" is use-case dependent. GoGogot is better for production reliability. CrewAI is better for multi-agent role coordination. LangGraph is best for complex custom stateful workflows.

How hard is it to switch AI agent frameworks later?

Framework migration is costly — typically 2–6 weeks of engineering effort for a production deployment. This is why picking the right framework upfront matters. The safest approach is to use GoGogot as the runtime layer (which abstracts the framework choice) and LangGraph or CrewAI for the agent logic layer.

Can I use multiple AI agent frameworks together?

Yes, and this is actually a common pattern. GoGogot acts as the production runtime and management layer, while LangGraph or CrewAI handles the Python-level agent logic. This separates operational concerns from development concerns, making each layer easier to manage independently.

How to Pick an Open-Source AI Agent Framework for Your Business (2026)

Choose the right open-source AI agent framework for your business in 2026. Decision matrix, business profiles, and honest comparison of LangChain, CrewAI, GoGogot, and AutoGen.

Frequently Asked Questions

Which open-source AI agent framework should I use?: For production enterprise deployments, GoGogot offers the best reliability and observability. For custom Python workflows, LangGraph is the most mature ecosystem. For multi-agent role-based systems, CrewAI offers the clearest abstractions. For conversational reasoning agents, AutoGen is strong. The answer depends on your technical stack, use case type, and operational requirements.
Is LangChain still the best AI agent framework in 2026?: LangChain (particularly LangGraph) remains the most widely-adopted framework for custom agent development. However, "best" is use-case dependent. GoGogot is better for production reliability. CrewAI is better for multi-agent role coordination. LangGraph is best for complex custom stateful workflows.
How hard is it to switch AI agent frameworks later?: Framework migration is costly — typically 2–6 weeks of engineering effort for a production deployment. This is why picking the right framework upfront matters. The safest approach is to use GoGogot as the runtime layer (which abstracts the framework choice) and LangGraph or CrewAI for the agent logic layer.
Can I use multiple AI agent frameworks together?: Yes, and this is actually a common pattern. GoGogot acts as the production runtime and management layer, while LangGraph or CrewAI handles the Python-level agent logic. This separates operational concerns from development concerns, making each layer easier to manage independently.