AIHawk vs Kuberns: 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.
Compare different tools →| Feature | AIHawk Developer Tools |  Kuberns Developer Tools |
|---|---|---|
| Rating | No reviews yet | No reviews yet |
| Pricing | Free as of Sep 30, 2026 |
as of Sep 14, 2026 |
| Pricing Model | Free | Freemium |
| Free Plan | ||
| Free Trial | Yes | |
| API Available | ||
| Verified | ||
| Founded | — | — |
| HQ | — | — |
| Team Size | 2-10 | Startups, Small Business, Enterprise |
| Platforms | — | — |
| Top Integrations | — | GitHubGitLabAWS |
| Key Features |
|
|
| 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. | Kuberns is an AI-agentic cloud Platform-as-a-Service that connects to your GitHub or GitLab repo, auto-detects your stack, and provisions AWS infrastructure to deploy and manage applications with zero configuration. It's built for developers, startup founders, and agencies who want to ship without writing YAML, managing Docker, or hiring DevOps engineers. Its key differentiator is a single AI agent that owns the full workflow—understand, analyze, deploy, and monitor with automatic rollback—on pay-as-you-go, deploy-first-pay-later pricing. |