Go autonomous with LangChain Agents
Turn your LLMs into reasoning engines that take action, responsibly.
Stay in the driver's seat. Build copilots that write first drafts for review, act on your behalf, or wait for approval before execution.
Customize your Agent Runtime with LangGraph
LangGraph puts you in control of your agent loop, with easy primitives for tracking state, cycles, streaming, and human-in-the-loop response. LangGraph can handle long tasks, ambiguous inputs, and accomplish more consistently.
About LangGraph
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Force call a tool
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Wait for human-in-the-loop approval
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Multiple agents collaborating on a common goal
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Stream intermediate steps as they happen
Choose the right cognitive architecture for your application
Identify and implement the best prompting strategies and architectures so that your LLMs perform as intended.
Go to Docs
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Plan-and-execute
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Function Calling
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Critique Revise
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ReAct
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Self-ask
Tools for every task
LangChain offers an extensive library of off-the-shelf tools and an intuitive framework for customizing your own.
Autonomous, but well‑behaved
Go to Docs
Debugging agents got you down? LangSmith can help.
LangSmith gives you the explainability to understand why your agents go off track and how to get them humming again.
Explore LangSmith
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End-to-end trace observability
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Tool selection visibility
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Playground with prompt, model, and tool definition variability
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Cost, latency, and error tracking
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LLM evaluators for agent runs
Resources for LangChain Agents
Ready to start shipping reliable GenAI apps faster?
LangChain and LangSmith are critical parts of the reference architecture to get you from prototype to production.