7 Best LangChain-Streamlit Template Alternatives in 2026 (Open Source)

LangChain-Streamlit Template. vs building from scratch: official LangChain template bridging LangGraph with Streamlit UI — minimal boilerplate to go from agent code to deployed web app

These 7 open-source tools do the same job. They are ordered by how closely they match LangChain-Streamlit Template, with live GitHub data so you can see which projects are actively maintained.

1. 1. LangChain

   Reference implementations of several LangChain agents as Streamlit apps

   What sets it apart: vs building from scratch: official LangChain reference implementations with Streamlit callbacks, memory management, and LangSmith observability — pre-built patterns for 5+ agent types (search, docs, SQL, dataframes)

   Best for: Learning LangChain + Streamlit integration patterns; Building chatbots with web search, document Q&A, or database access; Rapid prototyping of conversational data analysis tools

   ⭐ 1.6kLangChain-Streamlit Template vs LangChain →Full profile →

2. 2. Chainlit

   Build Conversational AI in minutes ⚡️

   What sets it apart: vs Streamlit: purpose-built for conversational AI with step visualization and streaming; vs Gradio: more focused on chat interfaces with built-in auth and conversation management

   Best for: Quickly building chat UIs for LLM applications; Prototyping conversational AI demos; Python developers wanting Streamlit-like simplicity for chat

   ⭐ 12.5kLangChain-Streamlit Template vs Chainlit →Full profile →

3. 3. Robby-chatbot

   AI chatbot 🤖 for chat with CSV, PDF, TXT files 📄 and YTB videos 🎥 | using Langchain🦜 | OpenAI | Streamlit ⚡

   What sets it apart: Unlike single-modality RAG demos, Robby combines document Q&A, tabular data analysis, and YouTube summarization in one Streamlit interface with conversational memory — a uniquely multi-modal learning project

   Best for: Individuals wanting a simple all-in-one tool to chat with documents, spreadsheets, and YouTube videos; Python learners studying how to build RAG applications with LangChain and Streamlit

   ⭐ 814LangChain-Streamlit Template vs Robby-chatbot →Full profile →

4. 4. langchain-chat-nextjs

   Next.js frontend for LangChain Chat.

   What sets it apart: vs other LangChain UIs: minimal Next.js reference implementation by LangChain community — the simplest way to connect LangChain's chat backend to a web UI

   Best for: JavaScript developers wanting a simple LangChain + Next.js chat reference; Quick prototyping of LangChain chat interfaces; Learning how to connect LangChain backend to a web frontend

   ⭐ 1.0kLangChain-Streamlit Template vs langchain-chat-nextjs →Full profile →

5. 5. Langchain-serve

   ⚡ Langchain apps in production using Jina & FastAPI

   What sets it apart: vs manual FastAPI setup: decorator-based syntax (@serving, @slackbot, @job) for instant LangChain deployment — zero Docker/infrastructure knowledge needed with pre-built agent templates

   Best for: Rapid prototyping of LangChain agents for production APIs; Deploying autonomous agents without infrastructure management; Building Slack-integrated AI assistants

   ⭐ 1.6kLangChain-Streamlit Template vs Langchain-serve →Full profile →

6. 6. Dialoqbase

   Create chatbots with ease

   What sets it apart: vs Botpress/Rasa: open-source no-code chatbot builder with multi-LLM provider flexibility + multi-platform deployment (web, Telegram, Discord, WhatsApp) + PostgreSQL vector search — all self-hosted

   Best for: Quickly building custom chatbots from proprietary knowledge bases; Teams wanting multi-platform chatbot deployment (Telegram, Discord, web); Experimenting with different LLM providers for chatbot use cases

   ⭐ 1.8kLangChain-Streamlit Template vs Dialoqbase →Full profile →

7. 7. Chatbot

   A full-featured, hackable Next.js AI chatbot built by Vercel

   What sets it apart: Vercel's official AI chatbot template — the most polished and production-ready Next.js chatbot starter with AI SDK, unlike generic templates it includes auth, persistence, multi-provider routing, and one-click Vercel deployment

   Best for: Quickly bootstrapping a production chatbot with Next.js; Developers wanting a reference implementation of AI SDK best practices

   ⭐ 21.0kLangChain-Streamlit Template vs Chatbot →Full profile →