8 Best langchain-chat-nextjs Alternatives in 2026 (Open Source)
langchain-chat-nextjs — Next.js frontend for LangChain Chat.. 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
These 8 open-source tools do the same job. They are ordered by how closely they match langchain-chat-nextjs, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| langchain-chat-nextjs(original) | 1.0k | +-0 | 2023-01-27 |
| Chatbot UI | 33.4k | +34 | 2024-06-22 |
| Chat UI | 11.0k | +56 | 2026-09-30 |
| Chatbot | 21.0k | +159 | 2026-07-08 |
| Chat LangChain | 6.5k | +28 | 2026-09-15 |
| ChatFiles | 3.3k | +-3 | 2024-12-17 |
| AgentLabs | 558 | +3 | 2025-02-06 |
| LangChain.js-LLM-Template | 330 | +-0 | 2023-02-28 |
| create-t3-turbo-ai | 353 | +-0 | 2023-02-27 |
1. Chatbot UI
AI chat for any model.
What sets it apart: vs ChatGPT web app: open-source, self-hosted with Supabase backend for full data ownership — the most popular open-source ChatGPT UI clone with 28k+ stars
Best for: Developers wanting a self-hosted ChatGPT-like UI with data persistence; Teams needing an open-source chat interface they can customize; Organizations wanting full control over their AI chat data
2. Chat UI
The open source codebase powering HuggingChat
What sets it apart: Powers HuggingChat (huggingface.co/chat) — the most production-proven open-source chat UI with unique LLM Router for automatic model selection and native MCP tool support, unlike simpler UIs it handles multi-user, multi-model deployments
Best for: Self-hosting a ChatGPT-like interface for open-source models; Organizations wanting HuggingChat-quality UI for their own LLMs
3. 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
4. Chat LangChain
What sets it apart: A production reference implementation from the LangChain team itself, demonstrating best practices for building documentation agents with guardrails, multi-source retrieval, and link validation — unlike generic RAG templates
Best for: LangChain developers wanting AI-assisted documentation search and troubleshooting; Teams studying how to build production-grade RAG agents with LangGraph as a reference architecture
5. ChatFiles
Document Chatbot — multiple files. Powered by GPT / Embedding.
What sets it apart: vs ChatPDF/similar tools: open-source Next.js implementation combining LangchainJS with Supabase vector embeddings — fully customizable document chat with Vercel deployment
Best for: Quick document Q&A prototyping with file uploads; Developers learning LangchainJS + Supabase vector search; Building conversational file analysis interfaces
6. AgentLabs
Universal AI Agent Frontend. Build your backend we handle the rest.
What sets it apart: Open-source universal frontend for AI agents with built-in auth, real-time streaming SDK, and chat UI — focus on backend while it handles the rest (discontinued)
Best for: rapid-agent-ui-deployment; adding-auth-to-ai-agents; chat-frontend-for-agents
7. LangChain.js-LLM-Template
This is a LangChain LLM template that allows you to train your own custom AI LLM.
What sets it apart: vs other LangChain starters: minimal 3-step setup (add markdown → train → run) with Replit one-click deployment — the simplest possible LangChain.js custom LLM template
Best for: JavaScript developers wanting the simplest possible LangChain.js RAG starter; Quick prototyping of custom knowledge base Q&A on Replit; Learning LangChain.js fundamentals with vector stores
8. create-t3-turbo-ai
Build full-stack, type-safe, LLM-powered apps with the T3 Stack, Turborepo, OpenAI, and Langchain
What sets it apart: vs plain Next.js + OpenAI: full T3 stack (tRPC + Prisma + Turborepo) with type-safety from database to API to frontend — the enterprise-grade TypeScript AI app starter template
Best for: TypeScript developers wanting a production-ready full-stack AI app template; Teams building type-safe LLM applications with the T3 stack; Rapid prototyping of AI web apps with monorepo best practices