LangGraph by LangChain
Low-level orchestration framework for building stateful, durable AI agents in Python and TypeScript.
About
LangGraph models agents as graphs of nodes and edges with typed state — cycles, conditional routing, durable checkpointing (SQLite/Postgres), and human-in-the-loop are first-class.
It is MIT-licensed and part of the LangChain ecosystem (pairs with LangSmith for observability and deployment). A Sept 2026 independent review picked it as the default Python choice for production agents.
What it can do
- Stateful agent graphs with cycles, conditional edges, and subgraphs
- Durable execution: automatic resume-from-checkpoint after failures
- Human-in-the-loop: inspect/modify agent state mid-run
- Short-term and long-term memory primitives
- First-class token streaming and multi-agent orchestration patterns
- LangSmith integration for tracing, evals, and one-click deployment (paid)
Setup
- Install Python 3.10+ (or Node.js for the JS/TS version).
pip install -U langgraph- Set your model provider API key (e.g.
OPENAI_API_KEY). - Define nodes/edges/state per the quickstart at docs.langchain.com.
- Add a checkpointer (SQLite for dev, Postgres for production) for durable execution.
- Deploy via LangSmith Deployment or your own infrastructure.
Prerequisites
Python 3.10+ (or Node.js); LLM API key; Postgres optional for production checkpointing.
Use cases
Works with
Trust score — 9/10
Official LangChain Inc. project with 43k stars, commits within the last day, MIT license, strong docs plus a free academy, and broad enterprise adoption cited by an independent Sept 2026 review. Minor caveats: the most capable observability tooling (LangSmith) is paid, and the ecosystem has a history of breaking API changes.
★ 43,144 GitHub stars
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 9.0/10
- Maintenance · recency, releases, issue load
- 9.3/10
- Openness · license + docs
- 10.0/10
- Manual review · sanity read + red-flag check
- 9.0/10
- · 43,144 GitHub stars (log-scaled vs catalog peers)
- · blended with ~44,769,952 monthly package downloads
- · last push 0d ago; 100 releases/12mo; 807 open issues
- · manual review: breaking-change history (0.x→1.0), otherwise clean
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.