Every Harness Will Become A Claw — Sam Bhagwat, Mastra

The AI agent landscape is evolving from simple LLM-based loops toward sophisticated "harnesses" and eventually autonomous "claws." This progression involves increasing durability, persistent state, and the ability to execute complex, long-running tasks across cloud and local environments. As these agents gain initiative and continuous learning capabilities, they will inevitably expand in scope. However, a market shakeout is imminent, mirroring the consolidation seen in mobile app ecosystems during the 2010s. Users possess limited cognitive bandwidth, meaning only the most economically valuable or frequently used agents will survive. Developers must prioritize high-utility features and anticipate this consolidation phase, as the rapid pace of innovation will favor agents that provide sustained, integrated value over those that merely perform isolated tasks.