deepagents

Deep Agents is LangChain's batteries-included agent harness. Where the base LangChain agent gives you a minimal loop, Deep Agents bundles the pieces you always end up building yourself: a filesystem, sub-agent delegation, context management, shell execution, persistent memory, human-approval steps, and reusable skills. It runs on any LLM that supports tool calling, MIT licensed and free.

It installs as a Python package (uv add deepagents) and one call to its create_deep_agent helper gives you a working agent with your model, tools, and prompt. Under the hood it is built on LangGraph, so you inherit streaming, persistence, and checkpointing. Running it yourself costs nothing beyond your model's token bill, and a JavaScript/TypeScript port exists too.

For a developer who wants a capable agent without wiring every subsystem by hand, this is a strong starting point at any team size. The money in the ecosystem is LangSmith for tracing and deployment: a free developer seat with 5K traces a month, then $39 per seat per month on Plus. A hosted Managed Deep Agents runtime is in private preview with no published price.

The catch is the LangChain gravity. The package installs the LangSmith client plus Anthropic and Google integrations as required dependencies, and the production path points at LangSmith. If you like the batteries, it is a fast path. If you want a thin, transparent agent loop, this is more framework than you asked for.