agent-qa
已验证 · 实测可装 vostride
功能简介
开源自我改进QA代理,带记忆的测试框架,自然语言编写Web和移动测试。
推荐 — 实测可用且热门
开源自我改进QA代理,带记忆的测试框架,自然语言编写Web和移动测试。 实测能干净安装、正常启动。891+ stars,社区认可度高,是低风险选择。
「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。
README
agent-qa
The self-improving Agentic QA harness with Memory
Write tests in natural language for web and mobile. agent-qa learns from past runs, adapts to UI changes, and catches regressions before you ship.
Features
- Write tests in natural language for web and mobile: Define actions and assertions in human language while agents work from visible roles, labels, and screen state.
- Self-healing test execution: When any sub-action, such as click, fill, or select, fails, agent-qa re-observes the UI and tries a different path in the same run. Tests recover from UI drift and flaky interactions instead of failing on the first broken action.
- Self-improves with Memory: With every test run, agent-qa builds execution memory from product, suite, and test observations, then adds that context to future runs. agent-qa also curates memory from steps that were healed during execution, helping future runs avoid the same mistake.
- Built for humans and machines: A polished dashboard and CLI for developers, plus MCP and skills for coding agents.
- Accelerate runs with smart Cache: The action cache reuses validated plans across similar subsequent test runs, reducing planner work, token usage, and runtime overhead.
- Run sandboxed hooks during tests: Run Node, Bun, Python, or Bash hooks in isolated Docker containers to set up environments, call APIs, seed fixtures, tear down state, or pass structured outputs back into the active test run.
- Open source, reviewable QA: The harness is open source, and tests, configs, hooks, memory, and suite logic all live as version-controlled code, so every change can be diffed, reviewed, reused, and shared across teams.
- Bring your own LLM: Run tests with the model of your choice via OpenAI- and Anthropic-compatible endpoints, Gemini, local or open-source models, and subscriptions like Codex and Claude Code.
Quickstart
Install the package:
npm install -D agent-qa
For Codex or Claude Code subscription auth, also install:
npm install -D @vostride/agent-qa-subscription-auth
Install Docker before using hooks. agent-qa runs hooks in a sandboxed runtime, and Docker is required for the Node, Bun, Python, and Bash hook containers.
Initialize agent-qa and install the runtime support you need:
npx agent-qa init
npx agent-qa install-browsers --chromium
# Mobile projects:
npx agent-qa install-mobile-drivers --all
Start the dashboard, complete auth, and run tests from the UI:
npx agent-qa dashboard --open
For the full setup flow, use the quickstart.
CLI
Run tests from the CLI:
npx agent-qa run tests/hacker-news-top-story.yaml
Docs
安装
装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:
dsh plugin add dshbase-catalog 然后对 agent 说「帮我装 agent-qa」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。
该插件是 GitHub 源码(未发 npm)——直接从仓库装:
Web profile:
dsh plugin --profile web add github:vostride/agent-qa Headless(CLI)profile:
dsh plugin --profile headless add github:vostride/agent-qa 实测报告
验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。
使用场景
扩展 agent 的编码能力面——给它一个新工具、工作流或集成,让它接手以前做不了的开发任务。
适合谁
想让 dsh 在真实代码库上像队友一样干活的开发者——能改、能跑、能验证,而不只是回答问题。
二次开发建议
工具/命令面就是缝:暴露更多 SDK 能力、加更聪明的上下文接线,或收紧改代码与验证之间的循环。
