Sui Prototype Seal MPC Targets Secure On-Chain AI Agent Markets

Around $73 million worth of tokens are scheduled to unlock between June 29 and July 5, led by ENA, SUI and EIGEN.

SUI’s Hashi targets dormant Bitcoin liquidity as institutions explore BTC DeFi access through the SUI ecosystem. Sui is entering the Bitcoin DeFi discussion as Hashi targets access to dormant Bitcoin liquidity. A recent market update claimed more than $1 trillion in inactive Bitcoin is beginning to move. The update described Hashi as a tool that […] The post SUI’s Hashi Targets $1T Dormant Bitcoin as Institutions Eye BTC DeFi appeared first on Live Bitcoin News.

Sui Technical Setup: SUI Defends Key Macro Support Levels: key SUI technical support context, verified claims, market impact, and risk notes for crypto rea

Sui Partners With Token Terminal to Deliver Institutional On-Chain Analytics: key Sui Token Terminal context, verified claims, market impact, and risk note

SUI analysts watch $1.40-$1.50 first targets, while a wider breakout forecast points to $12.5-$25 as adoption builds. SUI is attracting market interest as analysts track a possible breakout from its current trading range. The token has been moving through a weak period, yet some chart watchers now see early recovery signs. One analyst said SUI […] The post SUI Breakout Could Target $12.5 to $25 as Institutional Adoption Builds appeared first on Live Bitcoin News.

EverMind has open-sourced EverOS, a local-first memory runtime that stores AI agent memory as plain Markdown indexed by SQLite and LanceDB. It combines hybrid BM25 + vector retrieval, multimodal ingestion, and self-evolving Skills under an Apache 2.0 license. Here's what it is, how the architecture works, where the benchmarks stand, and where it still falls short — plus a runnable code walkthrough and an interactive demo. The post Meet EverOS: An Open Source Markdown-First Agent Memory Runtime With Hybrid BM25 + Vector Retrieval and Self-Evolving Skills appeared first on MarkTechPost.

Before Tobi Lütke ran Shopify, he learned programming through Germany’s apprenticeship system⁠, the way people have learned trades forever: in a shared workshop, watching people who already knew what they were doing. More recently, describing Shopify’s River, he reached for a related word: Lehrwerkstatt⁠, a teaching workshop where “the whole shop floor is the classroom.” X has been agog by the numbers around River⁠, Shopify’s Slack-native AI agent. In total, 5,938 Shopify employees worked with River across 4,450 different Slack channels, and River now coauthors roughly one in eight merged pull requests across the company. It’s a big deal, but understanding why it works that way is the most important part. River can read code, run tests, open pull requests, query the data warehouse, inspect production traces, and sometimes push back on a plan it thinks is bad. Great. Lots of companies will have clever coding agents someday soon. Some already do. The interesting part is that River doesn’

Sui Prototype Seal MPC Targets Secure On-Chain AI Agent Markets: key Sui Seal MPC context, verified claims, market impact, and risk notes for crypto reader