Runflow, LangChain and LangGraph: the framework hands you the parts, not the operation.
A low-level orchestration framework, MIT licensed. What it delivers and what is still missing until production.
In one paragraph.
LangGraph is a good framework, and our SDK speaks to that ecosystem. But the question that decides is not whether your team can assemble an agent. It is how long until the first one runs in production, integrated with your systems and with governance, and who sustains it afterwards. The framework hands you the parts. What eats up the months is the rest: connectors for the legacy systems, the audit trail, cost control by team, human approval at the risk points and the tuning cycle after go-live.
LangChain and LangGraph, and Runflow.
The comparison is about the delivery model, not about a feature list. Features change month to month; who builds it, who sustains it and how it is billed is what decides the project.
| LangChain and LangGraph | Runflow | |
|---|---|---|
| What it is | A low-level orchestration framework and agent runtime, under an MIT license. The paid observability and deployment layer is the LangSmith platform. LangChain's own description. | An AI agent orchestration platform, plus the Forward Deployed engineers who deploy it with your team. |
| Who it is for | Developers and engineers who want fine-grained control over the agent's behavior. | An operation that needs the number to move, with or without an AI team in house. |
| Who builds what goes to production | Your engineers, starting from low-level primitives. | Our engineers, inside your operation, building alongside your team. |
| What comes ready | The agent graph, the runtime and the ecosystem around it. | Connectors for ERP, CRM and channels, a per-decision trail, human approval, cost by team and the official WhatsApp. |
| What happens after go-live | Your team maintains, tunes and scales it. | We stay in the tuning cycle after go-live, and your team takes over whenever it wants to. |
| Ownership | Your code, under an open license. | Your code as well. Every agent, integration and template built is yours. If one day you want to carry on alone, you can. |
| How it is billed | The framework is free. The managed platform is paid. | By scope, defined in the free assessment. No hidden setup fee. |
We are not always the answer.
When LangGraph is the right choice
- You have AI engineers on the team and want full control over the agent graph.
- The agent is your product, and the differentiation lies precisely in fine-grained control over its behavior.
- You want to build on an open license and run the operation yourself.
- The deadline is long enough to assemble around it everything production demands.
When Runflow is the right choice
- The agent is a means, not a product. What has to change is the operation's number.
- What is missing is people to build, not tooling. We put our engineers inside your operation.
- You do not want to spend months building connectors for TOTVS, SAP, CRM and the official WhatsApp.
- A regulated sector, where an audit trail and human approval are not backlog items.
The two coexist, and our SDK speaks to that ecosystem. If your team has already built on LangGraph, that is not work thrown away: it comes into the platform and gains the governance, the connectors and the operation around it.
What changed in a real operation.
Osten Group
+30%
in contact-to-visit conversion, with the first-contact team going from 7 people to 2.
PX Ativos Judiciais
4% to 10%
conversion on first contact, roughly R$ 1.5 million converted over the year without growing the team.
Vero
R$ 2 million
saved on overtime.
You are evaluating more than one.
Information about LangChain and LangGraph according to the public material at langchain.com, accessed on August 24, 2026.
Bring a real process and see what changes.
In a no-cost conversation with an expert, we look at the process you have today and tell you plainly whether the case calls for an agent or whether the tool you already use solves it.