DeFi

AIVIVE (AVV) is an on-chain protocol network built around AI-powered consumption use cases. It connects user behavior with protocol operations via cross-chain infrastructure, automated execution systems, and a verifiable economic cycle. The project introduces the Recursive AI Protocol (RAP) concept, aiming to establish a new AI consumption model driven by real-world usage — one that lets protocols evolve based on actual interactions.

Ripple USD (RLUSD) is a dollar-backed stablecoin issued by Ripple. It is pegged to the U.S. dollar at a 1:1 ratio and deployed on both XRP Ledger (XRPL) and Ethereum. RLUSD is mainly used for cross-border payments, on-chain settlement, institutional fund transfers, and decentralized finance (DeFi) scenarios. Its goal is to provide a more stable digital settlement asset within Ripple’s payments ecosystem.

Levare (LVR) is a decentralized perpetual contract protocol tailored for multi-asset markets. By leveraging a shared Liquidity Vault and cross-chain infrastructure, it enables on-chain leveraged trading across a diverse range of assets, including cryptocurrencies, foreign exchange, precious metals, commodities, and indices. Unlike traditional decentralized platforms limited to crypto assets, Levare employs a unified liquidity model and DAO governance framework, designed to enhance capital efficiency and broaden the reach of on-chain derivatives markets.

Levare’s cross-chain architecture is an infrastructure design that unifies multi-chain liquidity management and cross-chain settlement. Through a shared Liquidity Vault, cross-chain messaging network, and unified settlement layer, users across different blockchains can access the same liquidity pool. Unlike traditional multi-chain deployment approaches, Levare’s objective is not merely to duplicate protocols across chains, but to create a unified liquidity market that mitigates capital fragmentation.

The Levare Liquidity Vault is the shared liquidity vault of the Levare protocol, providing unified liquidity support for all perpetual futures trading. Unlike traditional order books or independent trading pair liquidity pools, the Liquidity Vault centralizes liquidity management, where liquidity providers (LPs) deposit funds and the vault acts as the unified counterparty for all traders to settle trades.

Levare and GMX are both decentralized perpetual futures protocols, but their core distinction lies in market positioning and liquidity architecture. GMX focuses on cryptocurrency derivatives trading, offering market depth to traders via the GLP liquidity pool. In contrast, Levare employs a shared Liquidity Vault and a unified liquidity model, targeting multi-asset markets such as cryptocurrencies, forex, precious metals, commodities, and indices.

Cattoverse is an AI-powered investment agent system designed for digital asset markets. It enables users to manage assets and engage in the market through continuous monitoring, proactive strategy discovery, automated execution, and intelligent analysis. Emphasizing agent-based collaboration, Cattoverse aims to reduce the time and cognitive overhead associated with users' ongoing manual operations.

Magma Finance is a decentralized exchange (DEX) and liquidity infrastructure protocol on the Sui blockchain that leverages a Concentrated Liquidity Market Maker (CLMM) model alongside an Adaptive Liquidity Market Maker (ALMM) to enhance capital utilization and streamline liquidity allocation. Unlike conventional automated market makers, Magma Finance integrates an AI-driven liquidity management mechanism, allowing liquidity providers to engage in the market more efficiently while minimizing active management costs.

Magma Finance is a decentralized trading and liquidity infrastructure built on Sui. Its core products include ALMM (Adaptive Liquidity Market Maker), CLMM (Concentrated Liquidity Market Maker), a Swap trading market, liquidity management tools, and a community governance system. By integrating automated liquidity management with high capital efficiency models, Magma Finance aims to deliver more intelligent DeFi services to traders and liquidity providers.

ALMM (Adaptive Liquidity Market Maker) and CLMM (Concentrated Liquidity Market Maker) are both key mechanisms for enhancing capital efficiency in DeFi liquidity, yet they employ distinct approaches to liquidity management. CLMM enables users to independently adjust price ranges to optimize capital utilization, while ALMM leverages Automático strategies and AI-driven Publicación adjustments to manage liquidity, minimizing operational complexity.

ALMM (Adaptive Liquidity Market Maker) is an innovative liquidity model launched by Magma Finance, designed to solve the problems of poor capital efficiency in traditional Automated Market Makers (AMMs) and the management complexity of Concentrated Liquidity Market Makers (CLMMs). ALMM integrates dynamic liquidity ranges, automatic rebalancing mechanisms, and AI-driven strategies, allowing liquidity to adapt to market changes autonomously, thereby boosting capital utilization and reducing the operational burden on liquidity providers.

Magma Finance and Cetus are two major decentralized exchanges (DEX) in the Sui blockchain ecosystem, both specializing in on-chain liquidity and asset trading. Cetus is renowned for its Concentrated Liquidity Market Maker (CLMM) model and serves as one of the foundational liquidity infrastructures within Sui DeFi. Magma Finance, building on CLMM, introduces ALMM (Adaptive Liquidity Market Maker), leveraging AI-driven automated liquidity management to lower the barrier to user participation.

USDY and OUSG are both tokenized U.S. Treasury products from Ondo Finance, but they target distinct investor profiles and employ different legal structures. USDY is a yield-bearing tokenized note that provides USD yield exposure primarily to eligible international users, while OUSG represents the on-chain representation of U.S. Treasury fund shares, geared more toward institutional and accredited investors. Although both derive their yield from U.S. Treasuries, they differ significantly in access requirements, liquidity design, DeFi compatibility, and regulatory framework.

Jelly-My-Jelly is a social project built by integrating AI content processing, video interaction, and SocialFi mechanisms, paired with the JELLYJELLY token ecosystem. It can be understood as a SocialFi product with content expression as its entry point. Its core objective is not to create a traditional content platform, but rather to reduce the barriers to content creation and distribution through AI and social mechanisms.

Jelly-My-Jelly operates on a social growth model driven by content flow. Rather than treating content creation, distribution, and user growth as separate phases, the platform intends for these actions to form an ongoing, interconnected sequence.