The Agent ExaminerIndependent Review Authority
FrameworkOpen sourceNot yet hands-on tested

LangGraph Platform

San Francisco, USA

A low-level orchestration framework for stateful agents, with a managed service for deploying them in production.

What it is

LangGraph is a low-level, MIT-licensed Python/JS framework (from LangChain) for building stateful, graph-structured agent workflows. The managed side — now LangSmith Deployment, formerly branded LangGraph Platform — runs those agents with durable execution, versioning, and rollbacks.

At a glance

7/7 facts sourced
Pricing
Framework is free (MIT). Managed: Developer $0/seat (up to 5k base traces/mo), Plus $39/seat/mo, Enterprise custom; usage add-ons include deployment runs at $0.005/run.source ↗
Hosting model
Open-source framework self-hosted on your own infra; managed cloud deployment available; self-hosted and hybrid deployment gated to the Enterprise tier.source ↗
Memory & state
Durable execution across restarts and cold starts, persistent checkpoints (payloads up to 25 MB), and semantic search for long-term memory, with per-subagent state isolation via threads.source ↗
MCP support
Nativesource ↗
Integrations
Docs cite 1000+ integrations; tools are consumed as built-ins plus remote (HTTP) and local MCP servers via langchain-mcp-adapters.source ↗
Model providers
Many via langchain-<provider> packages: OpenAI, Anthropic, Google (Vertex + GenAI), AWS, Ollama, Groq, Azure AI, Mistral, xAI, Cohere, DeepSeek, and more.source ↗
Open source
Yessource ↗
4.3of 5

Editorial scorecard

Overall 4.3 / 5

Our opinion — the same 0–5 rubric is applied to every platform, including Alfe. See the rubric.

Developer experience4/5
Pricing transparency & value3/5
Scalability5/5
Memory & state5/5
Integrations5/5
MCP nativeness4/5

Strengths

  • Core framework is open source (MIT) and self-hostable.
  • Broad model-provider coverage through a standard interface.
  • Managed tier offers durable execution, persistent checkpoints, and human-in-the-loop.

Trade-offs

  • Managed usage is metered across many dimensions (traces, runs, uptime, LCUs), making cost harder to predict.
  • Self-hosted and hybrid managed deployment are gated to the Enterprise tier.
  • In the OSS framework, MCP is a separate adapter library rather than built into the core.

Our take

Editorial opinion — not a hands-on test result

In our opinion, LangGraph is a strong choice when you want low-level control over stateful, multi-step agents and are comfortable with a graph mental model. The managed service adds the production plumbing — durable execution, checkpoints, rollbacks — that teams otherwise have to build. The main trade-off is cost predictability: the metered pricing has many dimensions, and running fully on your own infra pushes you toward Enterprise.

Sponsored

Alfe is a managed agent-hosting platform. If you want an agent hosted and running without wiring infrastructure yourself, see Alfe → (or read its dossier).

FAQ

Is LangGraph free to use?
The framework is MIT-licensed and free. The managed service has a $0 Developer tier plus pay-as-you-go usage, with a $39/seat/mo Plus tier.
Can I run LangGraph on my own infrastructure?
Yes — the framework is a self-hosted library. Self-hosted or hybrid managed deployment is available on the Enterprise tier.

Compare LangGraph Platform

Sources

The Agent Examiner editorial · last updated 2026-07-01. Facts are drawn from each vendor’s own public materials; scores are our editorial opinion (methodology).

Product and company names are trademarks of their respective owners and are used here only to identify the products under discussion.