Agents for the whole company
Give every team the ability to build, use, and improve AI agents with the security your org requires.
Delegate routine work to agents
Describe a task in a short prompt. Agent Builder makes a plan and takes action, working across the apps your team uses daily. Turn any chat into an agent with one click to automate the task going forward.
Improve agents with feedback
Agents get better through use. Extend, modify, and refine your agents by giving them feedback like you would to a teammate. Agent Builder uses memory to incorporate corrections and deliver reliably good results.
Require approval for sensitive actions
Keep humans in the loop where it matters. Set tool-level approval requirements so agents check with you before executing sensitive steps. Review, edit, and approve actions with a centralized agent inbox.
Connect your tools securely
Enable first-party integrations, with OAuth for user authentication, and extend agent capabilities with any remote MCP server. Admins control which tools are available.
Scale and manage agents across your org
Model neutral
Use your preferred model. Agent Builder supports OpenAI, Anthropic, Gemini, or a model of your choice.
Admin and access controls
Standardize agents with templates your teams can share, clone, and customize. Control tool access with admin permissions.
Full observability
Monitor agent performance with native tracing in LangSmith. Debug issues, track usage, and improve reliability.
Extend with code
Engineering teams can invoke any agent via API or export agent files for use in pro-code development.
Get started instantly with agent templates
Choose a prebuilt template for the apps you already use.
Daily Calendar Brief
Sales
A daily agent that scans your calendar and delivers a concise briefing with meeting details and important context.
FAQs for LangSmith Agent Builder
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.
LangSmith cloud stores data in secure infrastructure. When using LangSmith hosted at smith.langchain.com, data is stored in GCP us-central-1 or europe-west4. 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. For teams with compliance requirements, self-hosted and BYOC options let you control where your data lives.
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.