Scalebrowser
Scalebrowser is self-hosted browser infrastructure for AI agents that need to finish real work. Each isolated profile keeps the same identity, cookies, passkeys, memory, and tasks across restarts and machines. A patched Chromium engine, real local GPU values, human-like input, captcha handling, email and SMS codes, TOTP, and browser-level prompt control help agents get through the places where ordinary automation stops. Connect over MCP, REST, Node.js, Python, or direct CDP.
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Vercel
Vercel is an AI-powered cloud platform that helps developers build, deploy, and scale high-performance web experiences with speed and security. It provides a unified set of tools, templates, and infrastructure designed to streamline development workflows from idea to global deployment. With support for modern frameworks like Next.js, Svelte, Vite, and Nuxt, teams can ship fast, responsive applications without managing complex backend operations. Vercel’s AI Cloud includes an AI Gateway, SDKs, workflow automation tools, and fluid compute, enabling developers to integrate large language models and advanced AI features effortlessly. The platform emphasizes instant global distribution, enabling deployments to become available worldwide immediately after a git push. Backed by strong security and performance optimizations, Vercel helps companies deliver personalized, reliable digital experiences at massive scale.
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Ovrin
Ovrin is a hosted compute platform for developers building AI agents and software that needs to run code in controlled environments. Through a REST API, Python and TypeScript SDKs, or an MCP server, users can create disposable Linux sandboxes, run shell commands and stateful code, manage files and scoped API keys, and retrieve execution output. Preconfigured environments include Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness; browser workflows can use Chrome and Playwright. The platform also offers persistent memory, sandbox lifecycle controls, usage metering, and concurrency limits. Typical uses include coding-agent execution, browser automation, and running model-generated code. Plans include a free tier and paid tiers with additional concurrency and usage-based compute charges.
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runx
runx is an open-source runtime and command-line tool for creating, discovering, and executing governed skills for AI agents. Developers can define bounded workflows, grant specific credentials and permissions, and run skills locally with their own provider accounts. Runs can pause for approval or missing input, then resume while retaining a signed receipt that can be inspected and verified. Skills can be installed from a public registry and used with compatible agents such as Claude Code, Cursor, and Codex. An optional hosted service adds managed OAuth connections, scoped grants, API-based run submission and inspection, approval handling, and receipt notarization. The CLI can also operate locally or in a self-hosted environment. runx is intended for developers and platform teams building and operating AI-agent workflows that need explicit authority boundaries and auditable execution.
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