assemble-production-agent-harnesses-with-deepagents · git:20260608.e4dc7c2 · 2026-06-08 · sha256 7b0309185c0d3497
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--- name: "Assemble production agent harnesses with DeepAgents" slug: "assemble-production-agent-harnesses-with-deepagents" description: "Use DeepAgents to build long-running task agents with a batteries-included harness for planning, tools, and workflow structure." github_stars: 24135 verification: "security_reviewed" source: "https://github.com/langchain-ai/deepagents" author: "LangChain AI" publisher_type: "open_source_project" category: "Templates & Workflows" framework: "Custom Agents" tool_ecosystem: github_repo: "langchain-ai/deepagents" github_stars: 24135 --- # Assemble production agent harnesses with DeepAgents Use DeepAgents to build long-running task agents with a batteries-included harness for planning, tools, and workflow structure. ## Prerequisites DeepAgents, model provider credentials, workflow tools ## Installation Use the upstream install or setup path that matches your environment: - uv add deepagents Requirements and caveats from upstream: - <a href="https://docs.langchain.com/oss/python/deepagents/overview#deep-agents-overview"> - python - The agent can plan, read/write files, and manage its own context. Add your own tools, swap models, customize prompts, configure sub-agents, and more. See the [documentation](https://docs.langchain.com/oss/python/deepa... Basic usage or getting-started notes: - **Shell access** — run commands in your sandbox of choice - **Human-in-the-loop** — approve, edit, or reject tool calls before they run - from deepagents import create_deep_agent - Source: https://github.com/langchain-ai/deepagents - Extracted from upstream docs: https://raw.githubusercontent.com/langchain-ai/deepagents/HEAD/README.md ## Documentation - https://github.com/langchain-ai/deepagents ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/assemble-production-agent-harnesses-with-deepagents/)