Agent Builder is a no-code platform designed to enable users, including non-developers, to create and deploy autonomous agents for automating routine tasks. It functions like a chief of staff, allowing users to articulate a goal in natural language without needing to define every granular step or manage complex conditional logic typical of traditional workflow automation.

The core methodology of Agent Builder is based on an intelligent agent architecture that plans, executes, and learns from feedback. When a user describes a goal, the system, powered by large language models, interprets this high-level request. It then autonomously "figures out the approach," which involves an internal planning mechanism to decompose the goal into "detailed instructions." This planning component determines the necessary sequence of actions, "selects the required tools" from a predefined or integrated set, and can "enlist subagents when required" for more specialized or complex sub-tasks, indicating a hierarchical or compositional agent design. The system differentiates itself from traditional "if-this-then-that" branching by its ability to dynamically plan and adapt.

During execution, the agent employs an iterative "plan and iterate" loop to achieve the objective, with the capability to "seek permission before executing sensitive tasks." A crucial aspect is its learning mechanism: users provide feedback, and the agent "learns using its memory," implying that feedback is incorporated into its internal state or model to improve future performance and decision-making. This feedback loop allows the agent to evolve and become more effective over time without requiring explicit reprogramming.

Agent Builder targets individuals whose days are consumed by routine operational tasks such as research, follow-ups, updates, scheduling, and status checks. It is particularly effective for "tab-hopping tasks" that span multiple applications, documents, and tools. Examples include generating daily meeting briefs by integrating CRM data and company research, delivering daily competitive intelligence digests in Slack from social posts and industry trends, and automating project tracking by creating Linear issues from PRDs in Notion or Google Docs and scheduling calendar events for milestones.

The platform offers advanced capabilities to extend the functionality of agents beyond basic automation. Users can "share agents with their team" through a shared workspace, allowing for cloning and adaptation. Connectivity to additional tools, including custom integrations, is facilitated via a remote MCP (Multi-Agent Communication Protocol) server. For specialized use cases, users can "bring your own model" (BYOM) to optimize for specific cost, latency, or capability requirements. Furthermore, agents built with Agent Builder can be embedded directly into other products or called via API as "subagents inside larger graphs," enabling complex, multi-agent orchestrations. Agent Builder is available as part of LangSmith plans.