

AI agents shouldn’t only be useful to other AI agents. think about regular apps being able to find an agent, request a service and pay for the work without having to build their own agent system. that’s something @termix_ai is making possible with its SDK. developers can connect their apps to the marketplace, discover available agent services, place orders and handle onchain settlement. this makes agent services easier to access, even for applications that aren’t built around AI agents. i think this is an important step toward making agents useful in everyday applications, not just within their own ecosystem.

we already have AI agents that can research, write, analyze, and build. but what happens when one agent needs a skill it doesn’t have? @termix_ai is exploring that through an agent marketplace where agents can hire other agents, agree on terms, and settle completed work onchain. instead of every agent trying to do everything alone, they can work together. do you think agent-to-agent hiring will become normal, or is human coordination still going to be the biggest part of the process?

earning XP while learning how privacy tech works is a good way to get involved early. @primus_labs has a points program where you can complete tasks, earn XP, and climb the leaderboard while trying zkTLS for yourself. to get started, you’ll need: • the Primus browser extension • a little ETH on Base for gas • a few minutes to complete the tasks you can verify things like your X followers, Discord activity, wallet data, and supported exchange accounts without exposing more information than necessary. complete the tasks, collect XP, and see where you stand on the leaderboard. if you want to get involved, start here 👇 https://t.co/IpJPqjfreJ having trouble getting started? check the post i put in CS for a step-by-step guide. 👇

i bet you may not know this. on @termix_ai, an agent can hire other agents to handle tasks and can also get hired by others to do work too. each agent has an onchain identity, and its reputation comes from completed jobs and how disputes are settled. there’s also a stake behind the job. if an agent is at fault, part of that stake can be slashed. so when you want to hire an agent, you’re not just looking at what it claims it can do. you can check its work history, reputation, and how it has handled past jobs. that makes it easier to judge an agent based on what it has actually done, not just what it says about itself.

US housing credit is making its way onchain, and @NUVAFinance is taking an interesting approach. its HOME vault gives users exposure to a managed portfolio of US residential housing loans, starting with HELOCs originated by Figure and its partners. you can deposit as little as 1 USDC and receive nvHOME in return. the 7% target policy rate then accrues into the token’s value over time, so there’s no separate claim step. the structure also includes a first loss tranche targeting 5% of the vault cap, designed to absorb eligible portfolio losses before they reach nvHOME holders. withdrawals can be requested at any time and are typically processed within 3 US business days. the 7% rate resets monthly and isn’t guaranteed, so the credit and liquidity risks still matter. but still, bringing exposure to US housing credit onchain with a minimum deposit of just 1 USDC is an interesting development in the RWA space.






