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 open-source AI agent?

An open-source AI agent is an agent system where the underlying code, orchestration logic, and optionally the model weights are publicly available and auditable. This gives organizations full control over their agent behavior, data processing, and infrastructure — unlike proprietary SaaS platforms where you're dependent on the vendor's decisions.

What are the best open-source AI agent frameworks?

Leading open-source AI agent frameworks include GoGogot (agent runtime), LangChain/LangGraph (Python orchestration), CrewAI (multi-agent), AutoGen (Microsoft, conversational agents), and AutoGPT (early pioneer, less maintained). GoGogot and LangGraph lead for production deployments.

Are open-source AI agents as capable as proprietary ones?

Yes, and often more so. Open-source models like Llama 3.3, Mistral Large, and DeepSeek V3 match or exceed GPT-4o on many benchmarks. Open-source agent frameworks are more flexible than proprietary SaaS platforms. The main trade-off is setup time — you need some technical capacity.

How do open-source AI agents handle data privacy?

Open-source AI agents deployed on your own infrastructure provide the strongest possible data privacy — your data never leaves your servers. This is critical for healthcare (HIPAA), finance (SOX, PCI-DSS), legal (attorney-client privilege), and any business handling confidential data.

Open-Source AI Agents: Why Businesses Are Choosing Transparency Over Lock-In

Open-source AI agents give businesses full data control, no vendor lock-in, and 60–80% lower TCO. Learn why leading companies are switching and which frameworks to use.

Frequently Asked Questions

What is an open-source AI agent?: An open-source AI agent is an agent system where the underlying code, orchestration logic, and optionally the model weights are publicly available and auditable. This gives organizations full control over their agent behavior, data processing, and infrastructure — unlike proprietary SaaS platforms where you're dependent on the vendor's decisions.
What are the best open-source AI agent frameworks?: Leading open-source AI agent frameworks include GoGogot (agent runtime), LangChain/LangGraph (Python orchestration), CrewAI (multi-agent), AutoGen (Microsoft, conversational agents), and AutoGPT (early pioneer, less maintained). GoGogot and LangGraph lead for production deployments.
Are open-source AI agents as capable as proprietary ones?: Yes, and often more so. Open-source models like Llama 3.3, Mistral Large, and DeepSeek V3 match or exceed GPT-4o on many benchmarks. Open-source agent frameworks are more flexible than proprietary SaaS platforms. The main trade-off is setup time — you need some technical capacity.
How do open-source AI agents handle data privacy?: Open-source AI agents deployed on your own infrastructure provide the strongest possible data privacy — your data never leaves your servers. This is critical for healthcare (HIPAA), finance (SOX, PCI-DSS), legal (attorney-client privilege), and any business handling confidential data.