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 – self-hosted, on a server exclusively in Germany if desired, or in the cloud. At Conexa Digital we choose the framework by requirement; for demanding agent workflows, LangGraph is one of our preferred foundations.
What we use it for
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.
In practice
A company wants to pre-screen incoming job applications automatically: read the documents, compare them with the requirements of the role, send the applicant an email if anything needs clarifying, and only then pass a recommendation on to the HR department. That is several steps with branches — not every application takes the same path, some need a follow-up question, others do not. LangGraph maps this flow as a clearly defined state graph: every step is individually traceable, and if something does not fit at one point, you can look in and correct exactly there instead of setting up the entire process anew. Applicant data stays within the system, which is agreed with the customer in advance.
When we do not use it
For a single, self-contained task — say, summarising a text or categorising an enquiry — an orchestration framework is oversized. There we call a model directly, without the detour through states and checkpoints. LangGraph only pays off once several steps, decisions and external tools have to work together and the process needs to remain verifiable — for anything simpler it would be unnecessary extra effort.
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 itself — on request on a server located exclusively in Germany — 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.