Deep agents use a modular middleware architecture where each core capability is implemented as composable middleware. This design allows you to customize agent behavior by adding, removing, or modifying middleware.
Learn more: For architecture details and customization patterns, see the Middleware documentation.
Middleware for providing filesystem and optional execution tools to an agent.
This middleware adds filesystem tools to the agent: ls, read_file, write_file,
edit_file, glob, and grep.
Fi
Middleware for providing subagents to an agent via a task tool.
This middleware adds a task tool to the agent that can be used
to invoke subagents.
Subagents are useful for handling complex task
Middleware for loading agent memory from AGENTS.md files.
Loads memory content from configured sources and injects into the system prompt. Supports multiple sources that are combined together. See
Middleware for loading and exposing agent skills to the system prompt.
Loads skills from backend sources and injects them into the system prompt using progressive disclosure (metadata first, full con
