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LangChain

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Engineering platform and open source frameworks for building, testing, deploying, and monitoring reliable AI agents.

Site Internet :https://www.langchain.com/
Ajouté :13 juil. 2026
Visiteurs mensuels :
3.4M
Réseaux sociaux et e-mail :
AI agentsAgent developmentAgent observabilityAgent evaluationAgent deploymentOpen source frameworks
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Informations sur l’outil

Qu'est-ce que LangChain ?

LangChain is an agent development platform and a set of open source frameworks for building, evaluating, deploying, and observing AI agents.

Fonctionnalités principales

  • Agent observability

    Trace agent runs in structured timelines and review analytics, AI-driven insights, message threads, and native tracing for popular agent frameworks and OpenTelemetry.

  • Agent evaluation

    Turn production traces into test cases and score agents through human review and automated online or offline evaluations.

  • Agent deployment

    Deploy agents with memory, conversational threads, durable checkpointing, human-in-the-loop interactions, streaming, background agents, and scalable runtime capabilities.

  • Agent improvement

    LangSmith Engine clusters production failures, identifies root causes in traces and code, and proposes fixes for review.

  • Open source agent frameworks

    Use deepagents for highly autonomous long-running agents, langchain for quickly building agents with templates, and langgraph for reliable agents with low-level control.

  • No-code agent fleet

    Fleet lets users describe tasks in plain language, create recurring agents, use first-party integrations or MCP servers, and export agent files for pro-code development.

Cas d'utilisation

  • #1

    Building AI agents

    Develop agents with any model provider using open source frameworks and templates.

  • #2

    Testing and improving agents

    Use production traces, human feedback, automated evaluations, and iterative scoring to improve agents.

  • #3

    Deploying production agents

    Ship and scale agents for long-running tasks, asynchronous collaboration, human interaction, and agent-to-agent workloads.

  • #4

    Enterprise task automation

    Create agents for routine research, follow-ups, and status checks across daily tools with Fleet.

  • #5

    Agent debugging and monitoring

    Inspect structured execution traces to understand agent behavior and diagnose failures.

Idéal pour :DevelopersAI teamsStartupsGlobal enterprisesAgent builders

Plans tarifaires

The official source snapshot includes a Pricing link but does not provide pricing details.

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Foire aux questions

What is LangChain used for?
LangChain is used to build, test, deploy, observe, and improve AI agents with open source frameworks and agent development tools.
Can LangChain help evaluate AI agents?
Yes. LangChain can use production traces as test cases and support human review plus automated online and offline evaluations.
Does LangChain support agent deployment?
Yes. Its deployment capabilities include memory, conversational threads, durable checkpointing, human-in-the-loop interactions, streaming, background agents, and scalable runtime capabilities.
Which open source frameworks does LangChain offer?
LangChain offers deepagents, langchain, and langgraph for different levels of agent autonomy, speed of development, and control.
Does LangChain support MCP and OpenTelemetry?
Yes. The official source snapshot lists native support for MCP and tracing with OpenTelemetry. It also mentions native protocol support for A2A.
How much does LangChain cost?
Pricing details are not clearly provided in the official source snapshot.

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Informations sur l’outil

Modèle tarifaireUnknown
CatégorieChatbots et LLM
Tags
AI agentsAgent developmentAgent observabilityAgent evaluationAgent deploymentOpen source frameworks
LangueAnglais
Dernière mise à jour16 juil. 2026
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