LangChain and LangGraph are orchestration libraries. What clears an enterprise security review is a deployment topology, an isolation model, an approval gate, and an audit chain — none of which any orchestration library provides, and all of which someone has to build. That is the whole comparison, and it is a question about scope of ownership rather than about quality.
Where LangGraph is the right answer
If the orchestration logic is your differentiator, use the library. LangGraph's explicit graph model — nodes, edges, cycles, and inspectable state — is genuinely good at the thing it does, and a team that wants to reason about control flow directly should not have that abstracted away from them.
From the standard
“Granting LLMs unchecked autonomy to take action can lead to unintended consequences, jeopardizing reliability, privacy, and trust.”
Three situations where it is clearly the better choice: you have platform engineers with capacity to operate what they build; the agent topology is unusual enough that a general-purpose system would fight you; or you are early enough that optionality is worth more than a settled architecture.
The comparison people actually make, and why it is the wrong one
Benchmarking a library against a delivered system on orchestration features compares two things that are not alternatives. The library wins on flexibility because flexibility is what it is for. The real question is which of the surrounding decisions — topology, isolation, identity, approval, audit — you intend to own, because those are what the review examines and they exist either way.
What the library leaves to you
Not criticisms — scope boundaries. An orchestration library is not supposed to solve these, and it would be a worse library if it tried.
| Decision | The library | You build it |
|---|---|---|
| Graph, state, branching | Provided | — |
| Tool calling and retries | Provided | — |
| Where inference runs | — | Yes |
| Execution sandbox isolation | — | Yes |
| Egress policy | — | Yes |
| Identity federation (SSO) | — | Yes |
| Per-turn authorization | — | Yes |
| Write approval gate | — | Yes |
| Approval replay protection | — | Yes |
| Citation provenance | — | Yes |
| End-to-end audit trace | — | Yes |
| Data residency guarantee | — | Yes |
Each line in the lower block is a question a security architect will ask, and none of them has a library-level answer. This is the honest shape of the build-it-yourself path: the orchestration is the part that is already solved.
What a delivered system decides for you
The trade runs in both directions. A system that arrives with those decisions made has also made them without you, and if one of them is wrong for your environment you are arguing with an architecture rather than editing a file.
In our case those decisions are: a control plane holding no customer data with execution inside your VPC, MicroVM isolation at the hypervisor, egress denied by default, identity federated to your provider with the agent acting as the user, a human gate on every write showing a blast-radius diff, approvals pinned against replay, and citations generated by the backend rather than the model. Each is documented in a teardown and mapped to the framework requirement it answers, precisely so the decisions can be argued with rather than taken on trust.
The cost nobody prices
Build-versus-buy analyses usually price the build as the prototype. The prototype is not the expensive part — it works in six weeks and it is genuinely impressive. The expensive part is the twelve items in the lower block of that table, each of which has to be designed, implemented, tested, and then maintained as the threat model moves.
Neither path avoids that work. One of them decides who does it.
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