How to Evaluate Agent Frameworks After This Week's Launches

This week saw three major agent infrastructure releases: Google's Antigravity CLI 2.0, Vercel's eve framework, and Microsoft's Scout built on OpenClaw. If you're building production agents, you need a decision framework that cuts through the hype. Here's how to evaluate which one fits your use case. Start by mapping your constraints. Antigravity CLI 2.0 is a command-line tool optimized for developers who want a free, powerful assistant with massive context windows and parallel execution. It's not a framework for building custom agents — it's a tool for using agents. If your primary need is a superior coding assistant that doesn't cost per token, Antigravity wins. Vercel's eve is a framework for building and deploying agents that need to run persistently in production. The key differentiator is the directory-as-agent model, which makes version control, testing, and deployment trivial. If you're building agents that other developers will maintain or that need to be deployed across multiple environments, eve's simplicity is a significant advantage. Microsoft's Scout, built on OpenClaw, targets enterprise IT automation with privileged local operations. It can read and write files, execute shell scripts, apply code patches, and automate browser sessions. If your agent needs deep system access and you're already in the Microsoft ecosystem, Scout is the obvious choice. The critical evaluation criteria are: deployment complexity (eve wins for simplicity), cost structure (Antigravity wins for free access), and access level (Scout wins for system integration). No single framework solves all three. The smartest approach is to use Antigravity CLI for development and rapid prototyping, then migrate to eve for production deployment, with Scout reserved for specialized enterprise automation tasks. This layered strategy gives you flexibility without locking into a single ecosystem.