langchain-nextjs-template vs boardui
Two of the top projects in Chat apps, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
langchain-nextjs-template
Next.js routes for LangChain.js chat, agents, structured output and RAG
boardui
React component library for agent UIs, installed as source via CLI
Verdict
langchain-nextjs-template ranks higher, 58 to 56. Of the 4 score parts we measure for both, langchain-nextjs-template leads on 1, boardui on 2 and 1 is even.
- Adoptionlangchain-nextjs-template leads by 31 points, 58 to 27: a wide gap.
- FreshnessEven at 100.
- Maintenanceboardui leads by 17 points, 50 to 33: a wide gap.
- Agent-readyboardui leads by 30 points, 30 to 0: a wide gap.
Pick langchain-nextjs-template if you are
Developers learning LangChain.js on Next.js
- Each pattern is one route file you can lift into your own app
- Hosted demo on Vercel
Pick boardui if you are
React and Next.js developers building agent chat UIs and dashboards
- Components are copied as source, so you can edit every file
- One AI_API_KEY selects among 7 providers by key prefix, plus OpenAI-compatible servers
| What we compare | langchain-nextjs-template | boardui |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 58, popular | 27, niche |
| Freshness | 100, active | 100, active |
| Maintenance | 33, patchy | 50, fair |
| Agent-ready | 0, none | 30, minimal |
| Facts from GitHub and the README | ||
| Stars | 2.5k | 1.2k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Nov 2026 | Oct 2026 |
| Last release | None published | None published |
| Language | TypeScript | TypeScript |
| Docker | No | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
langchain-nextjs-template
Five Next.js API routes that each show one LangChain.js pattern: plain chat, Zod structured output, a prebuilt LangGraph.js agent with Tavily search, and RAG as a chain and as an agent over a Supabase pgvector table. Tokens stream to the client through the AI SDK, routes run on Edge functions, and there is no auth or persistence beyond the vector table. For developers learning LangChain.js who want runnable routes to copy.
Who it is for: Developers learning LangChain.js on Next.js
Strengths
- Each pattern is one route file you can lift into your own app
- Hosted demo on Vercel
- Mock-backed integration tests run without API keys or a live database
- Supabase adapter reuses the documents table and match_documents function; no migration
Weaknesses
- No auth and no chat history persistence
- OpenAI only out of the box; other providers need code changes
- Re-ingesting the same text duplicates vectors; no dedupe
- Agent and search examples need a Tavily key
- TypeScript, openai, langchain, langgraph, ai-sdk
- Needs openai-api-key, supabase, tavily-api-key
- GitHub template
- env example file
boardui
BoardUI is a set of 69 free React components, built on React Aria Components and Tailwind CSS v4, that `npx boardui add` copies into a Next.js project as source. It covers agent pieces (chat, thinking indicator, agent log, composer) and dashboard pieces (data table, data grid, charts, sidebar, auth cards). The repo also runs as a chat app at `/` that streams replies from a provider chosen by the API key's prefix.
Who it is for: React and Next.js developers building agent chat UIs and dashboards
Strengths
- Components are copied as source, so you can edit every file
- One AI_API_KEY selects among 7 providers by key prefix, plus OpenAI-compatible servers
- Ships an MCP server, AGENTS.md rules and llms.txt for coding agents
- No database needed; chat history stays in the browser
Weaknesses
- Repo is generated from upstream source and accepts no pull requests
- Free tier only; the README implies paid items exist beyond the 69 here
- Chat endpoint is open to anyone with the URL, so cost depends on key limits
- Install targets Next.js projects only
- TypeScript, Anthropic, OpenAI, Google Gemini, OpenRouter
- Needs Node.js, Next.js, LLM provider API key
- env example file
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