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package.json
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63 lines (63 loc) · 1.98 KB
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{
"name": "self-learning-browser-automation",
"version": "1.0.0",
"description": "Browser automation that learns from every interaction. Uses AI memory and reinforcement learning to get 27-122% better over time automatically.",
"main": "dist/index.js",
"bin": {
"browser-automation": "dist/index.js",
"slba": "dist/scripts/cli.js"
},
"scripts": {
"build": "tsc && cp scripts/tools.json dist/scripts/",
"start": "node dist/index.js",
"dev": "ts-node src/index.ts",
"scripts:summary": "node dist/scripts/cli.js summary",
"scripts:list": "node dist/scripts/cli.js list",
"test": "jest",
"test:watch": "jest --watch",
"test:coverage": "jest --coverage",
"test:unit": "jest tests/unit",
"test:integration": "jest tests/integration",
"test:adversarial": "jest tests/adversarial",
"test:e2e": "ts-node tests/e2e/run-all-e2e-tests.ts",
"test:e2e:job-search": "ts-node tests/e2e/01-job-search-extract.ts",
"test:e2e:networking": "ts-node tests/e2e/02-connection-requests.ts",
"test:e2e:analysis": "ts-node tests/e2e/03-profile-analysis.ts",
"benchmark": "ts-node tests/benchmarks/run-benchmarks.ts",
"evaluate": "ts-node evaluation/run-evaluation.ts",
"prepare": "npm run build"
},
"keywords": [
"browser-automation",
"self-learning",
"ai-automation",
"reinforcement-learning",
"machine-learning",
"playwright",
"mcp",
"semantic-memory",
"session-persistence",
"linkedin-automation",
"web-scraping",
"intelligent-automation"
],
"author": "",
"license": "MIT",
"type": "commonjs",
"dependencies": {
"@modelcontextprotocol/sdk": "^1.20.2",
"commander": "^12.1.0",
"dotenv": "^17.2.3",
"playwright": "^1.56.1",
"supermemory": "^3.4.0"
},
"devDependencies": {
"@playwright/test": "^1.56.1",
"@types/jest": "^30.0.0",
"@types/node": "^24.9.2",
"jest": "^30.2.0",
"ts-jest": "^29.4.5",
"ts-node": "^10.9.2",
"typescript": "^5.9.3"
}
}