langchain-nextjs-template vs claude-quickstarts
Two of the top chat apps, side by side: score, setup, license, activity and what each review found.
langchain-nextjs-template
Next.js routes for LangChain.js chat, agents, structured output and RAG
claude-quickstarts
Independent Claude API starter projects, one folder per pattern
| What we compare | langchain-nextjs-template | claude-quickstarts |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 63, popular | 75, popular |
| Freshness | 100, active | 100, active |
| Maintenance | 33, patchy | 33, patchy |
| Easy to run | 67, easy | 0, hard |
| Agent-ready | 0, none | 40, minimal |
| Facts from GitHub and the README | ||
| Stars | 2.5k | 17.9k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 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
claude-quickstarts
Independent Claude API starter projects in one repo, not one app: a customer support agent with a knowledge base, a financial data analyst with charts, computer-use and Playwright browser-use demos, a two-agent coding loop on the Agent SDK, and Managed Agents examples for Slack, Linear, Sentry, MCP and CopilotKit AG-UI. Mixed Next.js and Python, each folder with its own setup. For developers copying out one pattern.
Who it is for: Developers copying one Claude pattern into their own app
Strengths
- Covers computer use, browser use, Agent SDK and Managed Agents in one checkout
- Each quickstart is self-contained with its own README and setup
- Tracks current toolset shapes (computer_toolset_20260801, browser_toolset_20260801)
- Ships a CLAUDE.md for agent-driven edits
Weaknesses
- Not a single forkable app; you extract one subfolder
- No auth, billing or database at the root; only what each sample needs
- Anthropic-only; no provider abstraction
- No root .env.example or Docker files
- TypeScript, anthropic
- Needs anthropic-api-key
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