Langchain Chat Websocket
by Community
LangChain LLM chat with streaming response over websockets
OSS
Langchain Chat Websocket
Added 1 June 2026
Overview
A web-based chat application that uses LangChain to interact with large language models and streams responses over websockets. It provides a simple HTML interface for real-time conversational AI with streaming output.
Best for
Best for
Developers who need a quick, lightweight streaming chat demo using LangChain and websockets
Use cases
- Building a real-time streaming chat interface for LLMs
- Prototyping LangChain-based conversational agents with low-latency responses
- Demonstrating websocket integration for LLM streaming in web apps
Notes
A web-based chat application that uses LangChain to interact with large language models and streams responses over websockets. It provides a simple HTML interface for real-time conversational AI with streaming output.
97 stars on GitHub. Last updated 2023-11-30. Licensed Apache-2.0.
Use cases
- Building a real-time streaming chat interface for LLMs
- Prototyping LangChain-based conversational agents with low-latency responses
- Demonstrating websocket integration for LLM streaming in web apps
Pros
- Simple HTML-based setup with no complex dependencies
- Streaming responses via websockets for low-latency user experience
- Open source and free to use or modify
Cons
- Limited to basic chat functionality with no advanced features like memory or tool use
- Small community (97 stars) means less support and fewer contributions
- Minimal documentation beyond the repository README
Indexed from awesome-langchain and enriched against its public facts.
Pros
- Simple HTML-based setup with no complex dependencies
- Streaming responses via websockets for low-latency user experience
- Open source and free to use or modify
Cons
- Limited to basic chat functionality with no advanced features like memory or tool use
- Small community (97 stars) means less support and fewer contributions
- Minimal documentation beyond the repository README
Pairs with
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