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.

Is CrewAI built on top of LangChain?

Yes. CrewAI uses LangChain under the hood for its LLM integrations and tool calling. This means LangChain's massive integration ecosystem is available to CrewAI users automatically — you don't have to choose between the two at the tooling layer.

Which is easier to learn, CrewAI or LangChain?

CrewAI is significantly easier to learn for multi-agent use cases. The role/crew/task abstraction maps naturally to how humans think about delegation. LangChain's LCEL and LangGraph have a steeper curve but give you much finer control over execution.

Can LangGraph replace CrewAI?

LangGraph and CrewAI serve different use cases. LangGraph is better for complex stateful workflows that need precise control flow, persistence, and streaming. CrewAI is better when you want a working multi-agent system fast and the role/task abstraction fits your problem. Many production teams use both.

Which framework is better for production?

LangGraph (part of the LangChain ecosystem) leads on production maturity with checkpointing, streaming, and LangSmith observability. CrewAI has strong production tooling via CrewAI Enterprise and CrewAI Studio but is better suited to workflows where the crew abstraction fits naturally.

What are the GitHub stats for CrewAI vs LangChain?

As of early 2026, LangChain has ~87K GitHub stars and 47M+ PyPI downloads — one of the largest AI framework ecosystems. CrewAI grew 5x in 2025 and is the fastest-growing multi-agent framework by trajectory.

CrewAI vs. LangChain: Which Agent Framework to Choose in 2026?

HONEST CrewAI vs LangChain comparison for 2026. Architecture, learning curve, multi-agent support & which framework fits your use case.

Frequently Asked Questions

Is CrewAI built on top of LangChain?: Yes. CrewAI uses LangChain under the hood for its LLM integrations and tool calling. This means LangChain's massive integration ecosystem is available to CrewAI users automatically — you don't have to choose between the two at the tooling layer.
Which is easier to learn, CrewAI or LangChain?: CrewAI is significantly easier to learn for multi-agent use cases. The role/crew/task abstraction maps naturally to how humans think about delegation. LangChain's LCEL and LangGraph have a steeper curve but give you much finer control over execution.
Can LangGraph replace CrewAI?: LangGraph and CrewAI serve different use cases. LangGraph is better for complex stateful workflows that need precise control flow, persistence, and streaming. CrewAI is better when you want a working multi-agent system fast and the role/task abstraction fits your problem. Many production teams use both.
Which framework is better for production?: LangGraph (part of the LangChain ecosystem) leads on production maturity with checkpointing, streaming, and LangSmith observability. CrewAI has strong production tooling via CrewAI Enterprise and CrewAI Studio but is better suited to workflows where the crew abstraction fits naturally.
What are the GitHub stats for CrewAI vs LangChain?: As of early 2026, LangChain has ~87K GitHub stars and 47M+ PyPI downloads — one of the largest AI framework ecosystems. CrewAI grew 5x in 2025 and is the fastest-growing multi-agent framework by trajectory.