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When an agent has to follow your process step by step, query your systems and ask for approval before acting, we build it on LangChain's open frameworks and measure it with LangSmith.
The process has many steps and exceptions, and a generic chatbot can't handle it.
Agents with a controlled flow in LangGraph: every step, decision and exception is spelled out.
You don't want to be locked into a single model provider.
LangChain works across providers, so you can switch models without rewriting the agent.
Nobody can tell why the agent answered what it did.
Step-by-step traces in LangSmith: what it looked up, which tool it used and how long it took.
You're wary of an agent acting without oversight.
Human approval checkpoints: the agent pauses, a person reviews, and the flow resumes where it left off.
An open framework to get agents running fast with the model provider of your choice.
Fine-grained flow control: state, branches, retries and pauses for human approval.
An open foundation for agents that work through long, complex tasks.
Traces of every agent step in LangSmith, even for agents built without LangChain.
Code-based and LLM-as-judge evals to keep measuring the agent's quality.
LangSmith as managed cloud, in your own cloud or self-hosted, depending on your data requirements.
Scope and timing are set with you during the assessment.
Claude as your team's assistant and as the engine behind your agents.
Workflows and AI agents that connect your systems, in the cloud or on your own server.
Cloud data platform to centralize, govern and analyze, with built-in AI.
Modular ERP: sales, inventory, accounting, manufacturing and Mexican e-invoicing in one system.
If the flow is simple, a tool like n8n is usually enough and easier to maintain. LangChain and LangGraph pay off when the agent needs complex logic, state, rigorous evaluation or full control of the code.
Whichever solves your case best at the best cost. With LangChain we can work with Claude, GPT, Gemini or others, and switch if a better option comes along.
The agent can run in your cloud. LangSmith comes as managed cloud, in your own cloud or self-hosted, to meet data residency requirements.
Yes, like any system. That's why we measure its accuracy on real cases before launch, add human approval to sensitive steps and monitor every run.
LangChain, LangGraph and Deep Agents are open source. LangSmith has a free tier and paid plans based on volume, contracted with LangChain.
Tell us which process you'd like an agent to run and we'll tell you whether it's worth building, and how.
LangChain is a trademark of its owner. Hanova implements and integrates it independently.