Balance agent control with agency

Gain control with LangGraph to design agents that reliably handle complex tasks. Build and scale agentic applications with LangGraph Platform.

Trusted by companies
shaping the future of agents

Interface : Brand Short Description Type Here.
Daikin : Brand Short Description Type Here.
Autism Spectrume : Brand Short Description Type Here.
Cerner : Brand Short Description Type Here.
GE Healthcare : Brand Short Description Type Here.
Genesco  :

Why choose LangGraph?

Control, moderate, and guide your agent’s actions.

Prevent agents from veering off course and ensure reliability with easy-to-add moderation and quality loops. Add human-in-the-loop to steer and approve agent actions.

Expressive and customizable agent workflows.

LangGraph’s low level abstractions provide the flexibility to create sophisticated agents. Design diverse control flows – single, multi-agent, hierarchical, sequential – all with one framework.

Persisted context for long-term interactions.

With its stateful design, LangGraph stores conversation histories and session data to maintain context over time and ensure smooth handoffs in agentic systems.

First-class streaming support for better UX design.

Bridge user expectations and agent capabilities with native token-by-token streaming, showing agent reasoning and actions in real time.

LangGraph Platform:
Design and deploy your
agents at scale

Craft agent-appropriate UXs using LangGraph Platform’s APIs. Quickly deploy and scale your agent with purpose-built infrastructure. Choose from multiple deployment options.

Dynamic APIs for designing agent UXs.

Craft personalized experiences with the long-term memory API to recall information across conversation sessions. Expose, update, and rewind your app’s state for better user visibility, steering, and interaction. Kick off long-running background jobs for research-style or multi-step work.

Fault-tolerant scalability.

Handle large workloads gracefully with horizontally-scaling servers, task queues, and built-in persistence. Enhance resilience with intelligent caching and automated retries.

 

An end-to-end developer experience.

Simplify prototyping, debugging, and sharing of agents in our visual LangGraph Studio. Deploy your application with 1-click deploy with our SaaS offering or within your own VPC. Then, monitor app performance with LangSmith.

Discover LangGraph Studio

66db8c2317fe5b9ad2b84ea0_lcacademylogo (1)

An end-to-end developer experience.

Simplify prototyping, debugging, and sharing of agents in our visual LangGraph Studio. Deploy your application with 1-click deploy with our SaaS offering or within your own VPC. Then, monitor app performance with LangSmith.

Discover LangGraph Studio

Built with LangGraph, trusted by the best.

LangGraph helps teams of all sizes, across all industries, build reliable AI agents deployed in production. Hear customers tell their tales.

 

LangGraph FAQs

How long does a Service Cloud implementation take?

A standard implementation takes 6-12 weeks, depending on complexity and required integrations.

Can Salesforce Service Cloud integrate with our existing support tools?

Yes, Service Cloud integrates with telephony systems, email, chat platforms, ERP, and other business applications to ensure a unified support experience.

How does AI improve customer service in Service Cloud?

AI-driven features like Einstein Case Routing, chatbots, and predictive analytics enhance support by automating responses, optimizing case handling, and providing real-time insights.

Does CRMIT provide ongoing support after implementation?

Yes, CRMIT Solutions offers post-implementation support, continuous optimization, and enhancements to ensure your customer service operations run smoothly.

How can I get started with Salesforce Sales Cloud?

You can schedule a consultation with our experts to discuss your needs and get a tailored implementation plan.

Ready to start shipping

reliable GenAI apps faster?

Get started with LangChain, LangSmith, and LangGraph to enhance
your LLM app development, from prototype to production.