⚖️Side-by-Side Comparison

AIHawk vs Sculptor: Which is Better in 2026?

We've compared 2 tools across pricing, features, ratings, and reviews to help you make an informed decision. No paid placements — just facts.

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Feature
AIHawk logo
AIHawk

Developer Tools

Sculptor logo
Sculptor

Developer Tools

RatingNo reviews yetNo reviews yet
PricingFree

as of Sep 30, 2026

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Pricing ModelFreeUnknown
Free Plan
Free Trial
API Available
Verified
Founded——
HQ——
Team Size2-10—
Platforms——
Top Integrations—
Claude Code
Key Features
  • MCP server for coding agents
  • Anti-detect stealth Firefox
  • Standalone web UI
  • Persistent profiles
  • Runs entirely locally
  • Extensible parallel coding workspace
Description

AIHawk (now published under the name invisible_playwright_mcp, with AIHawk kept as its established brand) is an open-source anti-detect browser and web-browsing agent built on Playwright, distributed as an MCP server so coding assistants like Claude Code, Codex, and Gemini CLI can browse the web without triggering captchas or anti-bot blocks. It ships two ways to use it: as an MCP server plugged into an existing coding assistant, or as a standalone web UI (a chat panel next to a live browser view) that works with any OpenRouter model and key. The engine drives a stealth Firefox build with configurable proxy, browser-fingerprint seed, and persistent profile support, so logins and cookies survive across restarts. Everything runs locally with no server of AIHawk's own: the sites visited see the browser as any normal Firefox would, and only the assistant's own model provider sees the conversation. The project has 31,700+ GitHub stars and 4,700+ forks, and its author previously built the well-known LinkedIn auto-apply tool under the same AIHawk name.

Sculptor, by Imbue, is a coding workspace that lets developers delegate tasks to multiple autonomous AI coding agents running in parallel inside secure, isolated containers to generate, test, and fix code. It provides a dedicated UI for Claude Code, letting users coordinate agents, inspect their changes, and verify results. It aims to make AI-assisted software development more reliable and to broaden who can build software.