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Naomi Pentrel (npentrel) merged 2 commits into from
Apr 22, 2026
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chore: trim langchain overview intro text #3675

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chore: trim langchain overview intro text
Apr 22, 2026
308cee7
Enhance overview of LangChain and Deep Agents
npentrel Apr 22, 2026
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13 changes: 3 additions & 10 deletions src/oss/langchain/overview.mdx
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Expand Up @@ -4,24 +4,17 @@ sidebarTitle: Overview
description: LangChain is an open source framework with a prebuilt agent architecture and integrations for any model or tool—so you can build agents that adapt as fast as the ecosystem evolves
---

LangChain is the easy way to start building completely custom agents and applications powered by LLMs.
With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and [more](/oss/integrations/providers/overview).
Build completely custom agents and applications powered by LLMs in under 10 lines of code, with integrations for [OpenAI, Anthropic, Google, and more](/oss/integrations/providers/overview).
LangChain provides a prebuilt agent architecture and model integrations to help you get started quickly and seamlessly incorporate LLMs into your agents and applications.

<Tip>
**LangChain vs. LangGraph vs. Deep Agents**

If you are looking to build an agent, we recommend you start with [Deep Agents](/oss/deepagents/overview/) which comes "batteries-included", with modern features like automatic compression of long conversations, a virtual filesystem, and subagent-spawning for managing and isolating context.
Start with [Deep Agents](/oss/deepagents/overview/) for a "batteries-included" agent with features like automatic context compression, a virtual filesystem, and subagent-spawning. Deep Agents are built on LangChain [agents](/oss/langchain/agents/) which you can also use LangChain directly.

Deep Agents are implementations of LangChain [agents](/oss/langchain/agents). If you don't need these capabilities or would like to customize your own for your agents and autonomous applications, start with LangChain.

Use [LangGraph](/oss/langgraph/overview), our low-level agent orchestration framework and runtime, when you have more advanced needs that require a combination of deterministic and agentic workflows and heavy customization.
Use [LangGraph](/oss/langgraph/overview), our low-level orchestration framework, for advanced needs combining deterministic and agentic workflows.
</Tip>

LangChain [agents](/oss/langchain/agents) are built on top of LangGraph in order to provide durable execution, streaming, human-in-the-loop, persistence, and more. You do not need to know LangGraph for basic LangChain agent usage.

We recommend you use LangChain if you want to quickly build agents and autonomous applications.

## <Icon icon="wand" /> Create an agent

:::python
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