Productivity●●●Banger
Covalence – Cross-Client Memory for Claude, Cursor, and MCP (macOS)
Finally, shared memory across Claude Desktop and Cursor without cloud accounts.
Solve My ProblemSlickZero to One
darronz
121mo ago
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GitHub Repository
AI-controlled browser farm on your machine. 36 MCP tools for Claude Code & Cursor — run N Chromium instances with device emulation, screenshots, network/geolocation simulation. Cross-platform: Windows GUI, headed & headless on Linux/macOS.
10 starsC#
GDD–36 MCP tools to run N isolated Chromium browsers from Claude/Cursor
by imVSall·May 17, 2026·1 point·0 comments
AI Analysis
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Local browser farm for AI agents replaces cloud grids like BrowserStack.
Strengths
- •36 MCP tools enable granular AI control over browser state.
- •Device emulation profiles cover 22 types without needing physical device labs.
- •Pre-compiled binaries across three platforms mean no Python environment hell.
Weaknesses
- •Running multiple Chromium instances locally consumes significant system RAM quickly.
- •Lacks anti-detect fingerprinting features needed for serious scraping use cases.
Category
Target Audience
AI agent developers, QA engineers
Similar To
BrowserStack · Playwright · browser-use
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