D
droidmaximus/browserlearn
Local-first browser agent training: record a Chrome task once, compile parameterized workflows, run via MCP…
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"droidmaximus-browserlearn": {
"command": "npx",
"args": ["playwright"]
}
}
}解析自我们于 2026-11-02 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"droidmaximus-browserlearn": {
"command": "npx",
"args": ["playwright"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio droidmaximus-browserlearn -- npx playwright
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- ★ 数取值
- 0 ★ · droidmaximus/browserlearn · 取自 GitHub 搜索 API · （2026-11-13 20:00:50 核对）
- 来源明细
- 从该仓库的 GitHub 页面直接读取 · 条目类型：开源项目
- 收录与活跃
- 收录于 2026-11-03 · 最近见到 2026-11-14 · 共见到 12 次 · 被 1 个来源列出
- 评分构成
- 综合分 103 · 1 个来源 · repo
- 安装
npx playwright
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx playwright。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: 开源项目。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
droidmaximus/browserlearn；我们收录于 2026-11-03；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。# BrowserLearn
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Browser agent training for developers — record a real Chrome workflow once, compile it into a reusable parameterized skill, and run it from MCP clients (Claude Code, Cursor) or export Playwright / Stagehand scripts.
Free and open source (MIT). Local-first and privacy-preserving: recordings stay on your machine and are redacted before they are saved. No cloud account required.
| Record | Chrome MV3 extension captures clicks, types, selects, navigates |
| Compile | Deterministic local compiler turns a recording into a workflow (optional LLM naming via BYOK / Ollama) |
| Run | MCP tools, CLI runner, or exported automation code |
## Why BrowserLearn
Train browser agents by demonstration — no hand-written selectors for every step
Works with AI coding tools — MCP server for Claude, Cursor, and other Model Context Protocol hosts
Exports — Playwright and Stagehand for teams that want code in git
Private by default — typed values and recordings never leave your machine; optional LLM enrichment sends only an anonymized skeleton you can preview
## Requirements
Node.js 22.13 or newer
Google Chrome (recording + runs). Without Chrome: npx playwright install chromium once for the runner
## Quick start
bash
git clone https://github.com/droidmaximus/browserlearn.git
cd browserlearn
npm install
npm run build --workspace @browserlearn/core
npm run build --workspace browserlearn
npm run build --workspace @browserlearn/extension
node packages/cli/dist/bin.js
Extension zip (Load unpacked): v0.1.0 release.
1. Open the dashboard URL printed in the terminal.
2. Load the unpacked extension from packages/extension/dist — see packages/extension/README.md.
3. Settings → copy the pairing code into the extension popup.
4. Open a normal website → Record → do the task → Stop.
MCP setup, CLI, and optional LLM naming: packages/cli/README.md.
## MCP (Claude Code / Cursor)
json
"mcpServers": {
"browserlearn": { "command": "npx", "args": ["-y", "browserlearn", "mcp"] }
Tools: listworkflows, getworkflow, runworkflow, searchrecordings.
## Packages
packages/cli — local app: dashboard, MCP server, runner (browserlearn)
packages/core — redaction, compiler, exporters, SQLite storage
packages/extension — Chrome MV3 recorder (load unpacked from dist)
Free and open source (MIT). Local-first and privacy-preserving: recordings stay on your machine and are redacted before they are saved. No cloud account required.
| Record | Chrome MV3 extension captures clicks, types, selects, navigates |
| Compile | Deterministic local compiler turns a recording into a workflow (optional LLM naming via BYOK / Ollama) |
| Run | MCP tools, CLI runner, or exported automation code |
## Why BrowserLearn
Train browser agents by demonstration — no hand-written selectors for every step
Works with AI coding tools — MCP server for Claude, Cursor, and other Model Context Protocol hosts
Exports — Playwright and Stagehand for teams that want code in git
Private by default — typed values and recordings never leave your machine; optional LLM enrichment sends only an anonymized skeleton you can preview
## Requirements
Node.js 22.13 or newer
Google Chrome (recording + runs). Without Chrome: npx playwright install chromium once for the runner
## Quick start
bash
git clone https://github.com/droidmaximus/browserlearn.git
cd browserlearn
npm install
npm run build --workspace @browserlearn/core
npm run build --workspace browserlearn
npm run build --workspace @browserlearn/extension
node packages/cli/dist/bin.js
Extension zip (Load unpacked): v0.1.0 release.
1. Open the dashboard URL printed in the terminal.
2. Load the unpacked extension from packages/extension/dist — see packages/extension/README.md.
3. Settings → copy the pairing code into the extension popup.
4. Open a normal website → Record → do the task → Stop.
MCP setup, CLI, and optional LLM naming: packages/cli/README.md.
## MCP (Claude Code / Cursor)
json
"mcpServers": {
"browserlearn": { "command": "npx", "args": ["-y", "browserlearn", "mcp"] }
Tools: listworkflows, getworkflow, runworkflow, searchrecordings.
## Packages
packages/cli — local app: dashboard, MCP server, runner (browserlearn)
packages/core — redaction, compiler, exporters, SQLite storage
packages/extension — Chrome MV3 recorder (load unpacked from dist)
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/droidmaximus-browserlearn/)
- 来源
- github · https://github.com/droidmaximus/browserlearn
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