LangGraph
Agents that follow a defined flow – not chance.
LangGraph is a framework for orchestrating AI agents as clearly defined workflows – with states, branches and checkpoints instead of a black box. It makes multi-step processes robust and traceable. At Conexa Digital we use LangGraph as a tool for building agents in a structured way; it is an open-source framework we deploy, not something we built ourselves.
How Conexa Digital uses it
Where multiple steps, decisions and external tools interact, LangGraph gives workflows a verifiable structure: every state is defined, every transition traceable. That lets us build agents that can be tested, monitored and adjusted with precision – either self-hosted on our own EU infrastructure or in the cloud. At Conexa Digital we choose the framework by requirement; for demanding agent workflows, LangGraph is one of our preferred foundations.
Why it matters to you
For you, the difference is decisive: an agent whose flow is clearly defined behaves predictably and can be corrected precisely when something goes wrong – instead of guessing at why it failed. That makes automation fit for production and maintainable, especially when it intervenes in real business processes.
Frequently asked questions
What is LangGraph?
LangGraph is an open-source framework for orchestrating AI agents as defined workflows with states and checkpoints. Conexa Digital uses it to build robust, traceable agents.
Self-hosted or cloud?
Both are possible. Conexa Digital can run LangGraph agents on its own EU infrastructure or in the cloud – depending on your requirements for control and data residency.
Why not simply call a model directly?
For individual tasks that is often enough. As soon as multiple steps, decisions and tools interact, a framework like LangGraph provides structure, testability and traceability.