01 / COMPARISON

IRONCREWVS LANGGRAPH.

LangGraph is the orchestration layer of the LangChain ecosystem: a low-level framework for stateful agent graphs in Python and JavaScript. IronCrew is a native runtime you operate. The differences below are structural, checked against LangChain's public documentation, and dated — if a claim drifts, it is a bug.

VERIFICATION

CLAIMS CHECKED AGAINST LANGGRAPH'S PUBLIC DOCUMENTATION ON 2026-08-15Report an outdated claim

02 / THE HONEST SPLIT

PICK BY SITUATION, NOT BY LOYALTY.

Both columns are meant sincerely. If the left column fits your situation, use it — the wrong tool adopted for loyalty costs more than either framework.

01

Choose LangGraph if

You want fine-grained, low-level control of agent state graphs inside your Python or JavaScript application. [1]

Your stack already leans on LangChain integrations and LangSmith observability. [1]

You want managed scale: LangSmith Deployment operates long-running, stateful agents for you. [2]

Durable execution through checkpointers is a first-class, well-documented pattern you want to build on. [1][4]

02

Choose IronCrew if

A security review will ask for SBOMs, signatures, and a signed container path.

Production hosts must not carry a Python or Node runtime; you deploy one native binary.

Human approval must be a fail-closed runtime contract with encrypted, attributed delivery.

Runs must survive restarts and coordinate across replicas on PostgreSQL, in the open core.

Prompts must be able to stay on-prem with a local model via Ollama.

03 / STRUCTURAL DIMENSIONS

THE DIFFERENCES THAT DON'T CHURN.

Descriptive cells, not checkmarks. Every claim about the other side carries a numbered citation into the sources below; IronCrew's claims keep their usual evidence links.

DimensionLangGraphIronCrew
Deployment modelLibrary inside your application; production deployment is LangSmith Deployment — managed cloud on a Plus plan and above, self-hosted control plane on Enterprise, standalone server with your own PostgreSQL, Redis, and a LangSmith license. [2]One binary you operate anywhere; multi-replica coordination needs only PostgreSQL.
Runtime dependenciesPython >=3.10, or the JavaScript variant in Node. [1][3]None beyond the binary; PostgreSQL only when durable coordination is needed.
Workflow definitionGraphs written in Python or JavaScript application code. [1]Crews of role-defined specialist agents in readable Lua, executed by a Rust runtime.
Human-in-the-loopinterrupt() pauses the graph; a human resumes with Command(resume=...); requires a checkpointer and a stable thread_id. [4]Named agents raise attributed questions over CLI, HTTP, and SSE; answers deliver encrypted across replicas.
Approval of tool useComposed from the same interrupt primitive by your application code. [4]A separate, fail-closed approval boundary with redacted arguments, distinct from questions.
Durability & replicasDurable execution via checkpointers that persist graph state, including Postgres backends. [1][4]A documented multi-replica contract: durable ownership, replay, encrypted HITL delivery, graceful drain.
Release provenancePyPI Trusted Publishing with artifact hashes; no SBOM or signature documentation on the release page as of the stamp date. [3]Checksums, keyless signatures, CycloneDX SBOM, and a signed OCI path per release.
License & commercial pullMIT library; the deployment platform's tiers, including self-hosted, require a LangSmith plan or license. [2][3]MIT with no hosted edition; commercial work is direct maintainer services.
Process/judgment separationOne graph framework carries deterministic process and agent reasoning together in your application. [1]Judgment (IronCrew) and deterministic process (IronFlow) are separate governed runtimes.

04 / SEPARATED RUNTIMES

THE DIMENSION A LIBRARY CAN'T MATCH.

Library frameworks carry deterministic process and agent reasoning together inside your application. The Iron stack separates them: IronFlow runs the process, IronCrew handles the judgment, and a governed boundary sits between proposal and execution.

05 / SOURCES

THE RECEIPTS.

Verified on 2026-08-15. These are the documents the claims above were checked against; the stamp is part of the page's contract.

  1. LangGraph repository (langchain-ai/langgraph)
  2. LangSmith Deployment documentation
  3. langgraph on PyPI (1.2.11, 2026-08-11)
  4. LangGraph interrupts (human-in-the-loop) documentation

MAKE THE CALL WITH EVIDENCE

ADOPT THE ONE YOUR REVIEWERS CAN VERIFY.