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LangGraph+25 Positive

GILD Review

GILD's call and the buying facts behind it.

GILD analysis

LangGraph Review

GitLab, LinkedIn, Wayfair and Grab run production agents on LangGraph, and the teams that dropped it, yeos.ai among them, had used a graph for work that did not branch. Pick it when agents must pause for a person, resume after a failure, and follow transitions your team defines. Expect to own checkpoint cleanup, version pins and hosting, or pay LangSmith Deployment's metered fee.

  • Agent Frameworks
  • Agentic Development

The decision

Best fit
Teams building long-running or stateful agents that need explicit control flow and checkpoints, including human approval steps, in Python or TypeScript.
Consider another workflow
For one agent loop with tools and handoffs on OpenAI models, evaluate the OpenAI Agents SDK; for role-based crews with a managed builder, CrewAI; for a linear pipeline, your own code.
Adoption condition
Pinned versions, a production checkpointer and durability mode, and a decision on where agents run and what that costs, all settled before launch.

Basis: LangGraph documentation, release policy, and pricing, plus 79 public accounts, among them Wayfair's measured production results, Tiendanube's checkpoint volumes, 7 Reddit threads and 12 GitHub issues with reproductions of checkpoint, resume, and upgrade failures. In Oracle researchers' Agent Spec benchmark, CrewAI ran 55% to 140% slower per query than LangGraph and the other runtimes tested, while scoring higher accuracy.

Buying & deployment factsWhat a team building on it should verify before production traffic grows.
How you buy it

Free, MIT

The library is free. Managed hosting on LangSmith Plus is US$39 per seat per month.

Source 1, GitHub, LangGraph on GitHub: LangGraph on GitHubSource 2, langchain.com, LangSmith pricing: LangSmith pricingSource 3, LangChain, LangSmith Deployment: LangSmith Deployment

Details

The Python and JavaScript library is free under MIT. LangSmith Deployment provides managed hosting. Plus costs US$39 per seat per month and includes 1 free Small Serverless deployment. Enterprise has custom pricing and adds hybrid and self-hosted options.

Cost drivers

About US$384

A month for a Small Dedicated deployment, by GILD's calculation from resource rates.

Source 2, langchain.com, LangSmith pricing: LangSmith pricingSource 5, LangChain, Manage billing: Manage billing

Details

Providers bill model tokens. LangSmith Deployment runtime costs 0.0675 LSU per vCPU-hour and 0.009 LSU per GiB-hour. A Dedicated database adds 0.177 and 0.025 respectively, at US$1 per LSU. A Small Dedicated deployment running all month costs about US$384, a GILD calculation. Resource billing replaced per-run and uptime pricing on October 1, 2026.

Where it runs

Python or JavaScript

The library runs anywhere. Hosted Agent Servers run in US or EU regions or your VPC.

Source 10, pypi.org, langgraph on PyPI (JSON API): langgraph on PyPI (JSON API)Source 1, GitHub, LangGraph on GitHub: LangGraph on GitHubSource 7, LangChain, Checkpointers: CheckpointersSource 6, LangChain, Cloud platform features: Cloud platform featuresSource 3, LangChain, LangSmith Deployment: LangSmith Deployment

Details

The library runs on Python 3.10+ or JavaScript, with checkpoints in memory, SQLite, Postgres, or MongoDB. LangSmith Deployment hosts Agent Servers in LangChain's US or EU cloud regions or your VPC through hybrid. Enterprise adds self-hosting with a control plane. A licensed standalone server is another option.

What to verify

1.x LTS

Breaking changes only in major releases. Version 0.4 gets fixes until December 2026.

Source 4, LangChain, Release policy: Release policySource 8, LangChain, Run a local server: Run a local serverSource 9, LangChain, Studio: Studio

Details

LangGraph 1.x is LTS, with breaking changes only in major releases. Version 0.4 receives fixes until December 2026. The langgraph dev server keeps state in memory for development only. Studio requires a LangSmith account, and LANGSMITH_TRACING=false keeps run data out of LangSmith.

Sourced from LangChain documentation