This template demonstrates a simple chatbot implemented using LangGraph.js, designed for LangGraph Studio. The chatbot maintains persistent chat memory, allowing for coherent conversations across multiple interactions.
The core logic, defined in src/agent/graph.ts
, showcases a straightforward chatbot that responds to user queries while maintaining context from previous messages.
The simple chatbot:
This template provides a foundation that can be easily customized and extended to create more complex conversational agents.
Assuming you have already installed LangGraph Studio, to set up:
.env
file. This template does not require any environment variables by default, but you will likely want to add some when customizing.cp .env.example .env
You can also extend this template by:
While iterating on your graph, you can edit past state and rerun your app from previous states to debug specific nodes. Local changes will be automatically applied via hot reload. Try experimenting with:
Follow-up requests will be appended to the same thread. You can create an entirely new thread, clearing previous history, using the +
button in the top right.
For more advanced features and examples, refer to the LangGraph.js documentation. These resources can help you adapt this template for your specific use case and build more sophisticated conversational agents.
LangGraph Studio also integrates with LangSmith for more in-depth tracing and collaboration with teammates, allowing you to analyze and optimize your chatbot's performance.