claude-quickstarts vs gemini-chatbot
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.
claude-quickstarts
Claude API sample apps for agents, computer use and browser automation
gemini-chatbot
Next.js chatbot template defaulting to Gemini with NextAuth and Postgres
Verdict
claude-quickstarts ranks higher, 75 to 43. Of the 5 score parts we measure for both, claude-quickstarts leads on 4, gemini-chatbot on none and 1 is even.
- Adoptionclaude-quickstarts leads by 54 points, 85 to 31: a wide gap.
- Momentumclaude-quickstarts leads by 55 points, 100 to 45: a wide gap.
- FreshnessEven at 100.
- Maintenanceclaude-quickstarts leads by 24 points, 34 to 10: a wide gap.
- Agent-readyclaude-quickstarts leads by 40 points, 40 to 0: a wide gap.
Pick claude-quickstarts if you are
Developers learning to build agents and tools on the Claude API
- Maintained by Anthropic; covers current features like Managed Agents and computer_toolset_20260801
- Wide range of patterns: webhook bridges, cron agents, MCP server, computer and browser use
Pick gemini-chatbot if you are
Teams on Gemini who want the Vercel chat stack
- Auth, Postgres history and Blob uploads already wired
- Two env vars to deploy: AUTH_SECRET and GOOGLE_GENERATIVE_AI_API_KEY
| What we compare | claude-quickstarts | gemini-chatbot |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 85, widely used | 31, known |
| Momentum | 100, surging | 45, steady |
| Freshness | 100, active | 100, active |
| Maintenance | 34, patchy | 10, weak |
| Agent-ready | 40, minimal | 0, none |
| Facts from GitHub and the README | ||
| Stars | 20.7k | 1.4k |
| License | MIT (permissive) | Apache-2.0 (permissive) |
| Last commit | Nov 2026 | Oct 2026 |
| Last release | None published | None published |
| Language | Python | TypeScript |
| Docker | No | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
claude-quickstarts
Monorepo of reference projects for building on the Claude API. It includes a customer support agent, a financial data analyst chat, computer and browser use demos, an autonomous coding agent on the Claude Agent SDK, and Managed Agents examples (Slack, Linear, Sentry, an MCP server, scheduled briefs). Each quickstart has its own README and setup.
Who it is for: Developers learning to build agents and tools on the Claude API
Strengths
- Maintained by Anthropic; covers current features like Managed Agents and computer_toolset_20260801
- Wide range of patterns: webhook bridges, cron agents, MCP server, computer and browser use
- The macOS computer-use sample shows prompt caching, image pruning, compaction and trajectory recording
- MIT licensed; each quickstart is self-contained with its own README
Weaknesses
- Samples for learning, not one deployable product; some are explicitly not production code
- Requires a Claude API key; examples are tied to Claude and Anthropic services
- Languages and dependencies differ per quickstart, so there is no single install path
- No tagged releases, so pinning a version means pinning a commit
- Python, Claude
- Needs Claude API key
gemini-chatbot
An earlier cut of the Vercel chatbot template pinned to Google Gemini: Next.js App Router, AI SDK streaming with tool calls, NextAuth.js login, chat history in Vercel Postgres through Drizzle, and file storage on Vercel Blob. The default model is gemini-1.5-pro; the AI SDK lets you switch to OpenAI, Anthropic or Cohere. For teams on Google models who want the Vercel chat stack.
Who it is for: Teams on Gemini who want the Vercel chat stack
Strengths
- Auth, Postgres history and Blob uploads already wired
- Two env vars to deploy: AUTH_SECRET and GOOGLE_GENERATIVE_AI_API_KEY
- Deployed demo at gemini.vercel.ai
Weaknesses
- Default model gemini-1.5-pro is dated; update before shipping
- Tied to Vercel Postgres and Blob; self-hosting means swapping both
- No tests, no Docker
- vercel/chatbot is the maintained successor for most uses
- TypeScript, google, ai-sdk
- Needs postgres, vercel-blob, google-api-key
- GitHub template
- env example file
- sign-in: Auth.js
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