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Most “AI agent platform” pitches in 2026 collapse into the same demo: a model, a loop, and a browser clicking around. That tells you almost nothing about whether the thing will survive contact with your team. The questions that actually predict success are boring and structural — where does memory live, what runtime executes the work, what real tools can the agent reach, can two agents hand off, and how does pricing scale when usage isn’t a straight line. This is a checklist you can run any vendor (or your own homegrown setup) through before you commit. I’ll use a self-hosted setup I’ll call OpenClaw and a cloud-native platform as two ends of the spectrum, because the trade-off between them is the decision most teams are actually making. Why “compare the models” is the wrong frame If you’v
Полный текст и контекст у первоисточника: https://dev.to/douzatan/ai-agent-platforms-compared-what-to-look-for-in-2026-57cp