# LangGraph — Open-source orchestration framework and runtime for stateful, long-running LLM agents, from LangChain.

> Source: The Agents Index — https://theagentsindex.com/langgraph (structured, researched, re-verified)
> Facts last verified: 2026-09-02

LangGraph is LangChain's low-level orchestration framework and runtime for building long-running, stateful agents as graphs of deterministic and LLM-driven steps. It supplies durable execution, persistence, streaming and human-in-the-loop interrupts, and deploys through LangSmith.

| Fact | Value |
| --- | --- |
| Website | https://www.langchain.com/langgraph |
| Price | from $39/month |
| Free tier | Yes |

LangGraph itself is MIT-licensed and free to use. The LangSmith Developer plan is $0 for a maximum of 1 seat, with 5k base traces/month included then pay-as-you-go, 5 LCU of Fleet usage and 5 LCU plus 1 LSU of Sandbox usage per month; the Deployment row reads N/A for Developer, so managed deployment requires Plus.

## What it does

**Debugs and fixes** · Partly — LangGraph itself does not diagnose code; the separate LangSmith Engine product analyses LangGraph agent traces, proposes fixes and can open a pull request with one.

> LangSmith Engine detects issues in your LangGraph agent traces and proposes fixes. You can open a pull request with the proposed fix directly from the Engine tab.
> — https://docs.langchain.com/oss/python/langgraph/overview · 'how LangChain products fit together' expandable, LangSmith Engine bullet

**Done-for-you service** · No — You run the software. On selected annual contracts LangChain assigns an AI engineer, but the published scope is advisory - best practices, guidelines, troubleshooting and reviews.

> LangChain AI Engineers work in close collaboration with the Customer to impart best practices, establish guidelines, facilitate troubleshooting, and conduct reviews
> — https://www.langchain.com/support-plans · Detailed Definitions, Advisory section, opening paragraph

## How much it does unattended

**Runs autonomously** · Yes — Built for unattended long-running work: checkpointed durable execution lets a run survive failure and resume, and human-in-the-loop checks are described as something you add rather than a default.

> Persistence: Build agents that persist through failures and can run for extended periods, resuming from where they left off.
> — https://docs.langchain.com/oss/python/langgraph/overview · Core benefits list, Persistence bullet

**Multi-agent** · Yes — Single, multi-agent and hierarchical control flows are all expressed in the same framework; the LangChain docs enumerate subagent, handoff, router and custom-workflow patterns.

> Design diverse control flows — single, multi-agent, hierarchical — all using one framework.
> — https://www.langchain.com/langgraph · 'How does LangGraph help?' section, 'Build expressive, customizable agent workflows' block

**Agent permissions** · Partly — There are no preset permission tiers: you decide where the agent must stop by placing interrupt() calls, which pause the graph and wait for approval before continuing.

> Add human-in-the-loop checks to steer and approve agent actions.
> — https://www.langchain.com/langgraph · 'How does LangGraph help?' section, human-in-the-loop block

## Which models it runs on

**Claude** · Yes — Claude models are reached through the first-party ChatAnthropic integration, and also via ChatBedrock and Vertex for Anthropic models on those clouds.

> You can find information about Anthropic's latest models, their costs, context windows, and supported input types in the Claude docs.
> — https://docs.langchain.com/oss/python/integrations/chat/anthropic · ChatAnthropic integration page, opening paragraph

**GPT** · Yes — First-party ChatOpenAI integration, plus AzureChatOpenAI for GPT models hosted on Azure; both are listed in the featured chat-model table.

> You can find information about OpenAI's latest models, their costs, context windows, and supported input types in the OpenAI Platform docs.
> — https://docs.langchain.com/oss/python/integrations/chat/openai · ChatOpenAI integration page, opening paragraph

**Open models** · Yes — Open-weight models run locally through the ChatOllama integration, and self-hosted vLLM and Hugging Face endpoints are documented as chat-model integrations.

> Ollama allows you to run open-source Large Language Models (LLMs), such as gpt-oss, locally.
> — https://docs.langchain.com/oss/python/integrations/chat/ollama · ChatOllama integration page, opening paragraph

**Model choice** · Yes — You choose the model. LangGraph does no model abstraction of its own and the vendor markets provider-independence; the featured integration table spans OpenAI, Anthropic, Google, Bedrock, Ollama and more.

> Build and ship agents fast with any model provider. Use high-level abstractions or fine-grained control as needed.
> — https://www.langchain.com/langgraph · 'Developers trust LangGraph to build reliable agents' section, subheading

## Where you use it

**In your editor** · Partly — No editor extension is documented. The vendor's own development surface is LangSmith Studio, a browser IDE that attaches to a locally running Agent Server; your own editor is where you write the graph.

> Studio: A specialized IDE for visualization, interaction, and debugging. Connects to a local Agent Server for developing and testing your graph.
> — https://docs.langchain.com/langsmith/components · LangSmith Deployment components, component bullet list, Studio entry

**On the command line** · Yes — langgraph-cli runs the Agent Server locally with langgraph dev, and builds, dockerises and deploys with build, dockerfile and deploy.

> LangGraph CLI is a command-line tool for building and running the Agent Server locally.
> — https://docs.langchain.com/langsmith/cli · LangGraph CLI page, opening paragraph

**In your pipeline** · Yes — The vendor publishes a CI/CD reference pipeline with a companion repository: tests and offline evals on a PR, then quality-gated preview and production deploys via the Control Plane API.

> This guide demonstrates how to implement a comprehensive CI/CD pipeline for AI agent applications deployed in LangSmith Deployment.
> — https://docs.langchain.com/langsmith/cicd-pipeline-example · Implement a CI/CD pipeline guide, introduction

**In a browser** · Yes — Deployments are created and managed from the LangSmith web control plane at smith.langchain.com, and Studio runs in the browser.

> Control Plane: The UI and APIs for creating, updating, and managing Agent Server deployments.
> — https://docs.langchain.com/langsmith/components · LangSmith Deployment components, component bullet list, Control Plane entry

## Whose machine it runs on

**Self-hosted** · Yes — The library is MIT-licensed and installed with pip or npm, so it runs wherever you install it; self-hosting the managed Agent Server platform is a separate Enterprise hosting option.

> Yes. LangGraph is an MIT-licensed open-source library and is free to use.
> — https://www.langchain.com/langgraph · LangGraph FAQs, 'Is LangGraph open source? Is it free?'

**Open source** · Yes — MIT-licensed library developed in the open by LangChain Inc; the product page's primary call to action links to the GitHub repository.

> Yes. LangGraph is an MIT-licensed open-source library and is free to use.
> — https://www.langchain.com/langgraph · LangGraph FAQs, 'Is LangGraph open source? Is it free?'

## What it costs to run

**How it meters** · Yes — Two meters at once on the managed platform: a per-seat licence at 39 dollars per seat per month, plus consumption in LangChain Compute Units (1.50 dollars) and Storage Units (1.00 dollar). The library itself is free.

> LangChain Compute Unit (LCU): A LCU is a normalized unit of work done on the LangSmith Platform and is used for pricing purposes.
> — https://www.langchain.com/pricing · General Questions FAQ, 'What is an LCU? What is an LSU?'

**Free tier** · Yes — No call needed: the framework is free under MIT, and the LangSmith Developer plan is 0 dollars per seat with 5k base traces a month for self-serve signup.

> Yes. LangGraph is an MIT-licensed open-source library and is free to use.
> — https://www.langchain.com/langgraph · LangGraph FAQs, 'Is LangGraph open source? Is it free?'

**API access** · Yes — The Agent Server is an API: runs, threads, assistants, state and cron endpoints, available locally from the CLI at no cost. On the managed platform the Assistants API and the 30-plus endpoint set are Plus and Enterprise rows.

> The resulting server exposes all API endpoints for runs, threads, assistants, etc., and includes supporting services such as a managed database for checkpointing and storage.
> — https://docs.langchain.com/langsmith/cli · LangGraph CLI page, opening paragraph

**MCP server** · Yes — A deployed agent can be exposed as an MCP server, so another agent can call it; the plan table checks this row on Developer, Plus and Enterprise alike.

> Expose agent as MCP server
> — https://www.langchain.com/pricing · Plan comparison table, LangSmith Deployment section, 'Expose agent as MCP server' row - checked in all three plan columns

**Bring your own key** · Yes — You supply provider keys directly in your own code, and the LLM Gateway's bring-your-own-key row is checked on every plan. Enterprise adds hybrid and self-hosted so inference and data stay in your cloud.

> BYO model API key
> — https://www.langchain.com/pricing · Plan comparison table, LangSmith LLM Gateway section, 'BYO model API key' row - checked in all three plan columns

## Buying it for a team

**A company can buy it** · Yes — Sold to organisations with workspaces and per-seat billing; Enterprise adds annual invoicing, custom terms and an infosec review.

> A seat is a distinct user inside your organization. We consider the total number of users (including invited users) to determine the number of seats to bill.
> — https://www.langchain.com/pricing · General Questions FAQ, 'What is a seat?'

**Seat model** · Yes — Floor of one seat, no ceiling: Developer is capped at a single free seat, Plus adds unlimited seats at 39 dollars each per month, Enterprise is custom.

> Add unlimited seats $39 per seat/month
> — https://www.langchain.com/pricing · Plan comparison table, Pricing section, Users row, Plus column

**Pooled budget** · Yes — The included usage allowance is one organisation-wide balance that resets monthly, not a per-seat grant: 5 LCU on Developer, 25 LCU on Plus.

> Developer & Plus plans include a free usage allowance, shared across your organization and resets monthly
> — https://www.langchain.com/pricing · LangSmith Fleet Questions FAQ, 'How is Fleet metered?'

**Admin controls** · Partly — Workspace RBAC and tag-based ABAC are Enterprise-only; other plans default every user to Admin. Gateway cost controls, rate limiting and PII redaction are checked on all three plans.

> RBAC (Role-Based Access Control) is an Enterprise feature for managing workspace-level permissions.
> — https://docs.langchain.com/langsmith/rbac · Role-based access control page, note directly under the heading

**Audit log** · Partly — Administrative action is recorded, but only on Enterprise: a tamper-resistant log of settings, membership, credential and workspace changes, retained up to 400 days and queryable by API.

> Audit logs are available on Enterprise plans. If you're interested in upgrading to Enterprise, contact our sales team.
> — https://docs.langchain.com/langsmith/audit-logs · Audit logs page, note above the introduction

**Single sign-on** · Partly — SAML SSO and SCIM are Enterprise-only; Plus gets Google and GitHub social login and Developer none. Self-hosted installs can wire almost any OIDC provider.

> Enterprise customers can configure SAML SSO and SCIM.
> — https://docs.langchain.com/langsmith/authentication-methods · Cloud section, SAML SSO subsection

## What happens to your code

**Opt out of training** · Yes — Nothing to opt out of: the vendor states it does not train on customer data. Separately, setting LANGSMITH_TRACING=false keeps agent data on your own machine entirely.

> No. LangSmith does not use your data to train models. Your traces, prompts, and outputs remain private to your organization.
> — https://www.langchain.com/pricing · General Questions FAQ, 'Will you train on the data that I send to LangSmith?'

**Data residency** · Partly — US or EU choice inside LangChain's cloud from Plus upward; Enterprise adds hybrid and self-hosted with the data plane in your own VPC. The Developer column reads N/A.

> LangChain's Cloud (US or EU)
> — https://www.langchain.com/pricing · Plan comparison table, Hosting options section, Data location row, Plus column

**Getting out** · Partly — Bulk trace export to an S3-compatible bucket in Parquet is Enterprise-only for anyone who signed up after 3 August 2026. Usage is metered in arrears rather than prepaid, so there is no credit balance to expire.

> For customers who signed up after August 3, 2026, bulk export is only available on the LangSmith Enterprise plan.
> — https://docs.langchain.com/langsmith/data-export · Bulk export trace data page, 'Plan restrictions apply' callout

**Certifications** · Yes — SOC 2 Type II, GDPR and HIPAA, with annual third-party audits and penetration testing; data encrypted AES-256 at rest and TLS 1.2 or higher in transit.

> We maintain SOC 2 Type II, GDPR, and HIPAA compliance and undergo annual third-party audits and penetration testing.
> — https://docs.langchain.com/langsmith/shared-responsibility-model · LangChain responsibilities (the platform), first bullet

## Platform record (as of 2026-08-30)

Reported by the code-hosting platform, not by the vendor.

| Fact | Value |
| --- | --- |
| Licence | MIT |
| Stars | 40706 |
| Forks | 6863 |
| Last push | 2026-08-30 |

## Provenance

1 of 21 sources behind the facts above are independent of the vendor.

## Coverage elsewhere

None recorded. Every fact above comes from the vendor and is not independently corroborated yet.

## What changed

- 2026-09-02 — Capabilities · Commercial terms · Free tier · Price
- 2026-08-31 — Capabilities · Commercial terms · Free tier
- 2026-08-23 — Alternatives · Documentation link · One-liner · Repository · Summary
- 2026-08-16 — One-liner · Summary

## Correcting this record

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