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LangChain v0.2 is coming soon! Preview the new docs [here](/v0.2/docs/introduction/).

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](/v0.1/)[Docs](/v0.1/docs/get_started/introduction/)[Use cases](/v0.1/docs/use_cases/)[Integrations](/v0.1/docs/integrations/platforms/)[API Reference](https://api.js.langchain.com)

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    *   [Providers](/v0.1/docs/integrations/platforms/)
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        *   [Connery Toolkit](/v0.1/docs/integrations/toolkits/connery/)
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*   [](/v0.1/)
*   [Components](/v0.1/docs/integrations/components/)
*   Agents and toolkits

Agents and toolkits
===================

[

📄️ Connery Toolkit
-------------------

Using this toolkit, you can integrate Connery Actions into your LangChain agent.

](/v0.1/docs/integrations/toolkits/connery/)

[

📄️ JSON Agent Toolkit
----------------------

This example shows how to load and use an agent with a JSON toolkit.

](/v0.1/docs/integrations/toolkits/json/)

[

📄️ OpenAPI Agent Toolkit
-------------------------

This example shows how to load and use an agent with a OpenAPI toolkit.

](/v0.1/docs/integrations/toolkits/openapi/)

[

📄️ AWS Step Functions Toolkit
------------------------------

AWS Step Functions are a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines.

](/v0.1/docs/integrations/toolkits/sfn_agent/)

[

📄️ SQL Agent Toolkit
---------------------

This example shows how to load and use an agent with a SQL toolkit.

](/v0.1/docs/integrations/toolkits/sql/)

[

📄️ VectorStore Agent Toolkit
-----------------------------

This example shows how to load and use an agent with a vectorstore toolkit.

](/v0.1/docs/integrations/toolkits/vectorstore/)

[

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Agent with Zapier NLA Integration

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Connery Toolkit

](/v0.1/docs/integrations/toolkits/connery/)

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