This is a batteries-included agent framework built on LangGraph that handles the repetitive setup work. You get a create_deep_agent factory that spins up agents with configurable backends (ephemeral state, real filesystem, persistent store, or hybrid routing), built-in middleware for common tasks, and a subagent system that lets you delegate work through a task tool. The backend flexibility is genuinely useful: you can start with StateBackend for prototyping, switch to FilesystemBackend when you need actual disk access and shell execution, or use CompositeBackend to route different paths to different storage strategies. It returns a standard LangGraph graph, so streaming and checkpointing work as expected. Good fit if you're tired of wiring up the same agent infrastructure on every project.
npx skills add https://github.com/existential-birds/beagle --skill deepagents-implementation