AGENTS AND PROGRAMMABLE CRYPTOGRAPHY

Summary from the TLDR Crypto newsletter

AI agents operating across distributed networks need methods to collaborate without sharing private context, creating practical demand for three cryptographic techniques that have remained largely in research settings: MPC distributes private inputs across participants so no single party reconstructs others' data, FHE lets cloud services compute on encrypted data without decrypting it, and TEEs use protected hardware to isolate data from cloud operators. Concrete applications include calendar coordination that confirms mutual availability without exposing full schedules, salary comparisons that verify whether two figures fall within a $10,000 threshold without revealing exact numbers, and developer support that matches error signatures across codebases without exposing proprietary code. Agents running these computations at scale require payment infrastructure, with fast stablecoin networks and state channels as settlement rails for high-volume microtransactions between agents.