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anthropics/claude-quickstarts

Six starter kits for Claude agents that do real work

Six quickstarts for building deployable Claude agents across support, analysis, browser automation, desktop control, and coding.

17.3k stars Python AgentsApp Builders
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What it does Anthropic maintains this monorepo of six quickstart projects, each a concrete starter for a different Claude API use case. The collection covers a customer support agent with knowledge-base access, a financial analyst that chats over interactive charts, a Playwright-driven browser automator, a containerized desktop-control environment, a native macOS computer-use reference implementation, and an autonomous coding agent that checkpoints progress in git. Every project is framed as a foundation to customize rather than a finished product.

The interesting bit The value is in the boring parts. The computer-use best-practices project explicitly demonstrates cost-control and reliability patterns—prompt caching, image pruning, server-side compaction, batched tool calls—that are usually left as an exercise for the reader, and the browser and coding quickstarts provide enough scaffolding to skip the usual reverse-engineering phase.

Key highlights

  • Six distinct quickstarts: customer support agent, financial data analyst, containerized computer-use demo, native macOS computer-use best practices, browser automation, and autonomous coding agent.
  • The computer-use best-practices project is explicitly pedagogical and demonstrates reliability patterns like explicit tool definitions, correct image sizing and pruning, prompt caching, batched tool calls, and a sandboxed shell.
  • The browser-use demo provides a complete Playwright-backed reference implementation for navigating sites, inspecting DOM elements, extracting content, and filling forms.
  • The autonomous coding agent implements a two-agent pattern—initializer plus coding agent—that builds applications incrementally across multiple sessions, with progress tracked via git and a feature list.
  • All projects are MIT-licensed and require an Anthropic API key.

Caveats

  • The top-level README is essentially a directory; the real setup instructions and code details live in each subdirectory, so you cannot evaluate complexity without diving deeper.
  • The native macOS computer-use best-practices project is explicitly meant to run against a macOS desktop inside a VM, which may be an immediate barrier for non-Mac developers.

Verdict Worth cloning if you are evaluating Claude for automation workloads and want vendor-sanctioned starting points rather than community snippets. Skip it if you are looking for framework-agnostic abstractions or a single, polished end-to-end product.

Frequently asked

What is anthropics/claude-quickstarts?
Six quickstarts for building deployable Claude agents across support, analysis, browser automation, desktop control, and coding.
Is claude-quickstarts open source?
Yes — anthropics/claude-quickstarts is open source, released under the MIT license.
What language is claude-quickstarts written in?
anthropics/claude-quickstarts is primarily written in Python.
How popular is claude-quickstarts?
anthropics/claude-quickstarts has 17.3k stars on GitHub and is currently cooling off.
Where can I find claude-quickstarts?
anthropics/claude-quickstarts is on GitHub at https://github.com/anthropics/claude-quickstarts.

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