Deep Agents

Deep Agents is the easiest way to start building agents powered by LLMs—with built-in capabilities for task planning, file systems for context management, subagent delegation, and long-term memory. It is an "agent harness" built on LangChain core building blocks and the LangGraph runtime.

When to use

Use Deep Agents when you need to:

• Build agents fast with sensible defaults and minimal configuration
• Handle complex, multi-step tasks that benefit from automatic planning
• Manage context with a built-in virtual filesystem for large inputs
• Delegate subtasks to specialized subagents
• Run code safely in sandboxed execution environments
• Use a terminal agent via Deep Agents Code

When NOT to use

• For simple tool-calling agents without planning or subagents, use LangChain agents instead—lighter weight
• For custom graph-based orchestration with explicit control flow, use LangGraph directly
• Deep Agents is the highest-level abstraction—it trades flexibility for convenience