Today, the Model Community has a paper with 34 votes. It discusses an automated course for learning about agent execution frameworks—so that models can learn to manage toolchains on their own, without requiring programmers to write code for every strategy.

The real value of this line for the crypto industry isn’t just saving labor. Once autonomous decision-making is proven and runs end-to-end, a decentralized perpetual contracts platform can break free from the bottleneck of “manual, pre-scripted playbooks for every strategy.” This managed custody company has just launched an institutional-grade decentralized contract interface: assets go through multi-party computation, and the strategy engine manages permissions. It happens to arrive right on the eve of the agent framework becoming mature. Infrastructure coins like $HYPE , along with $FET and $TAO for the agent/proxy direction, are not just hype in the long run—they have room for revaluation when agents can independently manage wallets, handle settlement, and perform cross-chain operations, and when the protocol’s valuation is repriced accordingly. In the short term, it’s still a window for institutional integration—not a window for retail traders to battle it out.

#智能体框架 #链上代理协议 #AI