Stackbone vs LangGraph
LangGraph is LangChain’s open-source orchestration framework for stateful agents in Python or JavaScript, and LangSmith Deployment is the runtime where those agents run and get traced. Stackbone is a TypeScript platform: the people who know a process describe it, Stackbone builds the agents and durable workflows, and IT maintains the repository through pull requests. With LangGraph, developers write every graph and choose the data stores and integrations around it. Stackbone ships those already wired.
Last updated · September 28, 2026
Side by side
| Stackbone | LangGraph | |
|---|---|---|
| Who builds it | The person who knows the process describes it, and Stackbone builds it. Developers can write the same code directly with the CLI and their own coding agent. | Developers write agents as graphs in Python or JavaScript with the LangGraph library. docs.langchain.com |
| What you end up with | A TypeScript repository: agents and durable workflows, versioned in Git like the rest of your software. | Graph code that LangSmith Deployment runs on Agent Server, with assistants, threads and runs as its execution model. docs.langchain.com |
| When the process changes | IT opens the repository with its coding agent, changes the step that moved and ships it through a pull request. Prompts and configuration are versioned in Studio: publish a version or roll back to an earlier one without a redeploy. | Developers change the graph code and redeploy it from GitHub in the LangSmith UI or with langgraph deploy. docs.langchain.com |
| Where it runs | Stackbone Cloud, or your own AWS, Azure or GCP account, self-hosted, on-prem or air-gapped. The same code runs on all of them. Pick any model from any provider, and use the built-in Postgres, object storage and RAG or point Stackbone at your own. | LangSmith Deployment runs on LangChain’s cloud, hybrid with Agent Servers in your infrastructure, self-hosted on your Kubernetes, or as a standalone Agent Server container. docs.langchain.com |
| Integrations | 700+ connectors with 6,000+ actions and 1,500 triggers, authorized once in Studio and reused by every automation, plus any service with an OpenAPI spec. | LangChain lists more than 1,000 integrations across chat and embedding models, tools and toolkits, document loaders and vector stores. docs.langchain.com |
| Approvals and audit | Irreversible steps wait in an approvals inbox. Every run is recorded step by step with the workflow and prompt version it used. Finance, Legal, Sales and Operations each read those runs in their own dashboards, and a new one is built by describing it. | Interrupts pause a graph so a person can inspect or edit its state before it resumes. LangSmith traces requests, evaluates outputs and monitors deployments. docs.langchain.com |
| Best fit | Companies that want their teams to automate their own processes without losing control: the business builds, IT owns the code, and everyone sees the results. | Engineering teams that need low-level control over custom agents and control flows, single, multi-agent or hierarchical. langchain.com |
Feature by feature
✓ means the product’s own documentation shows it. “✓ on” a plan means only that plan has it. ✗ means their documentation says it is not supported. “Not documented” (“No info” in the matrix) means we found nothing either way, and we do not read silence as a no.
| Stackbone | LangGraph | |
|---|---|---|
| Build by describing the process in plain language | ✓ | ✓ LangSmith Fleet docs.langchain.com |
| The result is code in your Git repository | ✓ | ✓ docs.langchain.com |
| Changes reviewed as pull requests | ✓ | ✓ Deploys on push to a branch docs.langchain.com |
| Prompt and configuration versions with rollback | ✓ | ✓ LangSmith prompt commits and rollback docs.langchain.com |
| Visual graph of every step | ✓ | ✓ LangSmith Studio graph mode docs.langchain.com |
| Managed cloud | ✓ | ✓ on Plus plan or above docs.langchain.com |
| Your own cloud or self-hosted | ✓ | ✓ on Enterprise langchain.com |
| On-prem or air-gapped | ✓ | ✓ on Enterprise, self-hosted LangSmith Deployment docs.langchain.com |
| Human approval before irreversible steps | ✓ | ✓ docs.langchain.com |
| Audit record of every run | ✓ | ✓ LangSmith traces docs.langchain.com |
| Evals and guardrails | ✓ | ✓ LangSmith evals docs.langchain.com |
| Dashboards per team: Finance, Legal, Sales, Operations | ✓ | Not documented |
| Custom dashboards, built by describing them | ✓ | Not documented |
| Any model and provider | ✓ | ✓ docs.langchain.com |
| Your own database, storage and vector store | ✓ | ✓ Your own Postgres checkpointer docs.langchain.com |
| Open source | ✗ | ✓ MIT langchain.com |
When to choose LangGraph
- Your team works in Python or JavaScript and wants low-level control over graph state and control flow.
- You already use LangChain integrations, or LangSmith for tracing and evals.
- You want LangChain to run the control plane for you, in its cloud or in a hybrid setup.
When to choose Stackbone
- The people who know the process should start the build, before an engineer writes a graph.
- You want one TypeScript repository with the database, object storage, RAG, secrets, model gateway and connectors already wired.
- Operations and Compliance staff need an approvals inbox and an audit log they can work in without reading traces.
Sources
Every statement about LangGraph links to LangChain's own documentation, read on September 28, 2026. Products change: if a row is out of date, tell us and we will correct it.
- https://docs.langchain.com/oss/python/langgraph/overview
- https://docs.langchain.com/langsmith/deployment
- https://docs.langchain.com/oss/python/integrations/providers/overview
- https://www.langchain.com/langgraph
- https://docs.langchain.com/langsmith/agent-builder
- https://docs.langchain.com/langsmith/deploy-to-cloud
- https://docs.langchain.com/langsmith/manage-prompts
- https://docs.langchain.com/langsmith/studio
- https://www.langchain.com/pricing
- https://docs.langchain.com/oss/python/langgraph/interrupts
- https://docs.langchain.com/langsmith/observability-concepts
- https://docs.langchain.com/langsmith/evaluation
- https://docs.langchain.com/oss/python/langgraph/persistence
See it on your own process.
Describe one process you run today. We build it with you and hand IT the repository.