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Deep Agents: A Batteries-Included Agent Harness

Deep Agents is an open-source agent harness by LangChain, designed for long-horizon, multi-step tasks. It includes built-in features such as sub-agents, filesystem access, context management, shell access, persistent memory, and human-in-the-loop approval. Model-agnostic and built on LangGraph, it is production-ready with LangSmith integration.

SourceHacker News AIAuthor: kristianpaul
Deep Agents: A Batteries-Included Agent Harness
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Opinionated and extensible agent harness built on LangGraph.
  • Built-in sub-agents, filesystem, context management, shell access, persistent memory, and human-in-the-loop.
  • Model-agnostic: works with frontier, open-weight, or local LLMs.
  • Available as Python and JavaScript/TypeScript libraries, with production support via LangSmith.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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