Multiply your capacity with AI agents built around your routines.
Helping top teams ship reliable agents
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Just describe what you want. Agent Builder figures out the approach, guiding you from your initial idea to a deployed agent, including a detailed prompt and subagents for precise execution. No need to map out every tool, action, or sequence.
Create agents that can handle complex and long-running tasks autonomously, like research, inbox management, and project tracking. Agent Builder uses reasoning to handle messy, multi-step work that would explode a conventional workflow canvas.
Need to extend or modify your agent? Just give it feedback like you would a teammate. Agent Builder uses memory to improve over time and deliver reliably good results. For even more control, have your agent seek human approval before executing sensitive steps.
Share, clone, and customize agent templates so everyone operates with a high performing agent fleet.
Connect third-party apps and custom internal tools to any agent using remote MCP servers.
Embed agents in your products and workflows—or invoke them as subagents via API.
Choose a prebuilt template for the apps you already use.
Yes. You can add custom tools and integrate third-party tools using a hosted MCP (Model Context Protocol) server. See the Agent Builder docs for setup details.
Yes. You can configure which model your agent uses for inference, including a custom model. See the Agent Builder docs for configuration steps.
When using LangSmith hosted at smith.langchain.com, data is stored in GCP us-central-1. If you’re on the Enterprise plan, we can deliver LangSmith to run on your kubernetes cluster in AWS, GCP, or Azure so that data never leaves your environment. For more information, check out our documentation.
Yes, we allow customers to self-host Agent Builder on our enterprise plan. We deliver the software to run on your Kubernetes cluster, and data will not leave your environment. For more information, check out our documentation.
Yes. Every Agent Builder run is traced in LangSmith, making it easy to debug performance and run evaluations at scale. Learn more about LangSmith Observability and Evaluation.
See our pricing page for more information, and find a plan that works for you.
