LangGraph Platform
What is LangGraph Platform?
LangGraph Platform is an AI agent deployment platform for teams that need to ship and govern production agents with one-click deployments, durable state, streaming, and built-in APIs for approvals, background tasks, memory, conversation threading, UI components, and custom events. It includes AI observability, agent evaluation, Agent Studio, and Fleet, and is used by Klarna, Vanta, Cloudflare, and monday.com. Plans run Developer $0/seat/month, Plus $39/seat/month, and Enterprise custom.
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At a glance
- LangSmith Deployment is best for AI teams that need to ship and govern production agents at scale.
- Developer $0 / seat /mo; Plus $39 / seat /mo; Enterprise Custom
- Yes — LangSmith Deployment offers production-ready APIs for human-in-the-loop approvals, background tasks, memory, conversation threading, streaming messages, UI components, and custom events.
What does LangGraph Platform do?
LangSmith Deployment handles production agent execution by giving teams one-click deployments, durable state, streaming, and built-in APIs for approvals, background tasks, memory, conversation threading, UI components, and custom events. It standardizes how agents are built, deployed, and governed, while Fleet helps run many agents across an organization and Task Queue manages rapid-fire requests. The platform is designed around tracing and eval-driven improvement, so teams can inspect behavior, compare changes, and ship updates with more confidence. At scale, LangChain says it works with 35% of the Fortune 500, has crossed 1 billion open source downloads, and ingests over 1 billion events per day on LangSmith. Customers including Klarna, Vanta, Cloudflare, and monday.com use it in production. Enterprise plans add hybrid and self-hosted hosting options so data doesn't leave your VPC, plus custom SSO and RBAC. The platform is framework-agnostic, so teams can deploy agents built with LangGraph or other frameworks.
Why use LangGraph Platform?
- One-click deployment and durable execution reduce the glue code usually needed to run agents in production.
- Tracing, monitoring, and evals are built into the same platform, so debugging and improvement happen from the same data.
- Framework-agnostic deployment lets teams ship agents built with LangGraph or other frameworks.
- Enterprise hosting options keep data inside your VPC when managed infrastructure is not enough.
- Fleet and task-queue tooling help teams coordinate many agents and bursty workloads without rebuilding orchestration.
Who is LangGraph Platform for?
- Platform engineers who need durable infrastructure for agent deployments and traffic spikes.
- AI product teams who want tracing, evals, and deployment in one workflow.
- ML engineers who need to compare agent changes before pushing updates to production.
- Enterprise security teams who need custom SSO, RBAC, and VPC-contained hosting options.
What are LangGraph Platform's key features?
Run agents at scale
Run agent workloads with over 1 billion events per day, so teams can operate high-volume systems without losing visibility or control.
Deploy with one click
Deploy agents in one click and use production-ready APIs for background tasks, memory, conversation threading, streaming messages, and custom events.
Production-ready APIs
Expose human-in-the-loop approvals, background tasks, memory, and streaming messages through APIs, making agent apps easier to ship and maintain.
AI observability
Trace agent execution, monitor alerts, and inspect over 5 million base traces per month on paid usage, helping teams catch failures faster.
agent evaluation
Run online and offline evals, then compare prompt changes in Prompt Hub, Playground, and Canvas to improve outputs with less guesswork.
Fleet
Manage Fleet agents and runs for production workloads, with support for up to 500 Fleet runs per month on the Plus plan.
open source frameworks
Connect LangGraph Platform with A2A, MCP, and Agent Protocol to fit existing agent stacks and reduce custom glue code.
Agent Studio
Build agents with no-code tools in Agent Studio, then standardize workflows for customer support tasks, candidate matching, or threat detection scenarios.
What does LangGraph Platform integrate with?
- A2A
- MCP
- Agent Protocol
What are LangGraph Platform's use cases?
Platform engineers scale deployments
Platform engineers who need durable infrastructure for agent deployments and traffic spikes use LangGraph Platform to run agents at scale, using Fleet to keep workloads reliable as demand grows. They can deploy with one click and expose Production-ready APIs without rebuilding their stack.
AI teams ship with confidence
AI product teams who want tracing, evals, and deployment in one workflow use LangGraph Platform to debug agent behavior and ship updates faster, using AI observability and agent evaluation to catch regressions before release. Agent Studio helps them iterate on flows without losing production context.
ML engineers compare changes safely
ML engineers who need to compare agent changes before pushing updates to production use LangGraph Platform to test revisions against real workloads, using agent evaluation and Insights to see whether a prompt or workflow change actually improves outcomes. They can standardize releases across open source frameworks.
Enterprise security controls for agents
Enterprise security teams who need custom SSO, RBAC, and VPC-contained hosting options use LangGraph Platform to keep agent deployments aligned with internal controls, using Production-ready APIs and Fleet while maintaining governed access. This supports secure rollout without sacrificing deployment speed.
How does LangGraph Platform work?
- Connect your first agent project in Agent Studio, then choose the open source frameworks you already use so the deployment matches your existing code and workflow.
- Deploy with one click to create a production environment, and use Production-ready APIs to handle background tasks, streaming messages, memory, and custom events.
- Turn on AI observability and debug every agent decision with traces, logs, and Insights so you can spot failures, latency, or prompt issues quickly.
- Run agent evaluation on new versions before release, compare eval changes, and use the results to decide whether the update is ready for production.
- Scale with Fleet as traffic grows, then keep iterating in the same workspace so monitoring, approvals, and ongoing improvements stay connected.
How much does LangGraph Platform cost?
Developer
$0 / seat per month- Up to 5k base traces / mo, then pay-as-you-go
- Tracing to debug agent execution
- Online and offline evals
- Prompt Hub, Playground and Canvas for auto improving prompts
- Annotation queues for human feedback
- Monitoring and alerting
- 1 Fleet agent
- Community support
- 1 seat
Plus
$39 / seat per month- Up to 10k base traces / mo, then pay-as-you-go
- 1 dev-sized agent deployment included
- Email support
- Unlimited Fleet agents
- Add unlimited seats
- Up to 3 workspaces
Enterprise
Custom pricing- Alternative hosting options, including hybrid and self-hosted so data doesn't leave your VPC
- Custom SSO and RBAC
- Acccess to deployed engineering team
- Support SLA
- Team trainings & architectural guidance
- Custom Fleet packages
Frequently asked questions
What is LangGraph Platform?
LangGraph Platform is an AI agent deployment platform for teams that need to ship and govern production agents with one-click deployments, durable state, streaming, and built-in APIs for approvals, background tasks, memory, conversation threading, UI components, and custom events. It includes AI observability, agent evaluation, Agent Studio, and Fleet, and is used by Klarna, Vanta, Cloudflare, and monday.com. Plans run Developer $0/seat/month, Plus $39/seat/month, and Enterprise custom.
How much does LangGraph Platform cost? Is it free?
LangGraph Platform has a free plan, with paid tiers including Plus at $39 / seat per month, Enterprise at Custom pricing.
What is LangGraph Platform used for? Who is it for?
LangGraph Platform is used for Run agents at scale, Deploy with one click, and Production-ready APIs. It's built for Platform engineers, AI product teams, and ML engineers.
Does LangGraph Platform have an API and what does it integrate with?
LangSmith Deployment offers production-ready APIs for human-in-the-loop approvals, background tasks, memory, conversation threading, streaming messages, UI components, and custom events. It integrates with A2A, MCP, Agent Protocol.
Editor's read
Developer includes up to 5k base traces per month and Plus raises that to 10k, both before pay-as-you-go. If your debugging or monitoring volume is likely to exceed those ceilings, verify the overage cost and whether you need Enterprise for VPC-contained hosting and custom SSO/RBAC.
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