🎉 [Gate 30 Million Milestone] Share Your Gate Moment & Win Exclusive Gifts!
Gate has surpassed 30M users worldwide — not just a number, but a journey we've built together.
Remember the thrill of opening your first account, or the Gate merch that’s been part of your daily life?
📸 Join the #MyGateMoment# campaign!
Share your story on Gate Square, and embrace the next 30 million together!
✅ How to Participate:
1️⃣ Post a photo or video with Gate elements
2️⃣ Add #MyGateMoment# and share your story, wishes, or thoughts
3️⃣ Share your post on Twitter (X) — top 10 views will get extra rewards!
👉
AgentFi New Paradigm: How ARMA Optimizes Stablecoin Returns
AgentFi to XenoFi: A New Paradigm for Stablecoin Yields
Against the backdrop of increasingly rich stablecoin yield strategies, but limited user focus and execution efficiency, AgentFi, as the next paradigm of "AI + DeFi" integration, offers DeFi users an intelligent agent solution that requires no monitoring and automatically optimizes.
1. Classification and Comparison of DeFAI and AgentFi
Although DeFAI and AgentFi are both in the "AI + DeFi" crossover field, their technological essence, product forms, and paradigm missions are entirely different. AgentFi differs from traditional DeFi or generalized DeFAI projects, with its core feature being: the AI Agent is the main executor and decision carrier, fully automated decision-making and closed-loop execution, rather than simply using AI as a decision support tool for data analysis and strategy enhancement.
DeFAI Categories: Tools that use AI to assist or enhance DeFi-related functions, such as strategy optimization, data analysis, investment advice, etc., with AI models assisting human decision-making. These financial automation products rely on explicit user instructions and strategies, executing a process of "from instruction to operation."
AgentFi Major Category: Build a financial system where on-chain AI agents serve as the primary executors. Agents can autonomously reason, make decisions, and complete transactions or governance actions, with users authorizing agents to act on their behalf. The agent actively makes decisions and executes actions. Using the "from intention to outcome" paradigm, users only need to express their goals, and the system can formulate and execute strategies.
Currently, the market is flooded with a large number of Agent launch platforms or trading markets. Compared to AI Meme tokens that are purely speculative with no practical use, the AgentFi projects that truly focus on the Crypto Native DeFi world are few and far between. Through extensive online research and screening, we have classified and rated the current AgentFi projects in the market after eliminating those that are too early or clearly scams:
Stablecoin Yield Optimization:
Strategy Portfolio/Liquidity Mining:
On-chain transaction execution type:
The above 9 AgentFi projects are all in the initial stage of having a closed-loop on-chain execution, clear scenarios, and basic preliminary products. However, to be honest, the AgentFi sector is still too early, and the user experience of most products is difficult to describe. Compared to mature DeFi protocols, the product gap remains significant. We look forward to the future of the AgentFi sector moving beyond the meme token speculation phase and entering a true PMF stage.
2. Optimization of Stablecoin Earnings in AgentFi
The track of stablecoin yield optimization is not new in the DeFi world. From the earliest Yearn Finance (YFI) automated yield aggregator and Idle Finance's automated asset rebalancing and strategy composition platform, to Gauntlet, a professional DeFi risk modeling and protocol-level yield optimization platform aimed at institutions, all belong to relatively representative automated yield optimization projects before AgentFi.
AgentFi has initially realized the vision of the mutual integration of Crypto and AI: that is, AI empowers users to better participate in the native DeFi world of Crypto through on-chain information collection and decision-making capabilities, while utilizing the immutability of blockchain to retain transaction details in on-chain logs, ensuring that logic is verifiable and behavior is traceable. As a continuation of the stablecoin yield article, we focus on the product usability aspect of the AgentFi track, which is the only one to receive a five-star rating and the only asset in the "stablecoin yield optimization" category------ARMA.
3. Giza Project Vision and Paradigm Concept
Giza is a blockchain infrastructure project focused on building "Verifiable AI Agents" and is dedicated to promoting the emerging paradigm of Agent-native Finance. As one of the few project teams in the ZKML track, Giza differs from teams like Modulus Labs or EZKL, which lean more toward theoretical research or infrastructure development, by placing greater emphasis on engineering and practicality. It is the first project in the ZKML track to achieve a complete closed loop of "on-chain intelligent agents + verifiable execution + AI scheduling."
Giza has proposed a groundbreaking concept - Xenocognitive Finance, which introduces AI agents as a new interface in decentralized finance to address the cognitive bottlenecks of human participants and reconstruct market intelligence and structure. The agents are not passive tools but "cognitive representatives" with independent reasoning capabilities and on-chain execution permissions, enhancing the information processing capacity of the entire market through a distributed agent network, allowing market intelligence to scale with participant size rather than collapse, and providing credible results through zero-knowledge proofs (ZK). In short, Xenocognitive Finance is a new paradigm that extends human cognitive abilities through autonomous intelligent agents without sacrificing sovereignty in a non-custodial model, achieving "cognitive offload" without the need to constantly monitor the market, automatically switch protocols, and efficiently participate in decentralized finance.
The architecture of the Giza Protocol includes the following three layers:
The Giza agent execution process is completed through the collaboration of three core modules and is divided into four key steps:
Request Processing (Semantic Abstraction Layer): The AI agent initiates an operation request via the MCP protocol (e.g., "Deposit USDC into AAVE"), the system parses the natural language strategy into standardized on-chain operation instructions, while verifying the format, semantics, and permission boundaries to ensure the request is legal and executable;
Protocol Interaction (Decentralized Execution Layer): Execution nodes call DeFi protocols (such as lending and exchanging) based on instructions to complete actual operations. The system will dynamically optimize the transaction path, considering gas costs, slippage tolerance, and protocol liquidity. After the task is executed, results and task proofs are generated for subsequent verification.
Execution Verification (Authorization Layer + Execution Layer): The system checks whether the operation complies with the Session Key authorization scope set by the user (protocol type, amount, time). Multiple Attester nodes independently verify the operation, and the Aggregator collects signatures to reach a consensus, ensuring that the results are secure and trustworthy.
Result Feedback (Semantic Abstraction Level): The execution result is transformed into structured semantic information (such as changes in earnings, asset distribution), which is returned to the AI agent system for subsequent strategy adjustment and automatic iterative decision-making.
In July 2023, Giza announced the completion of a $3 million Pre-Seed funding round, led by CoinFund, with participation from StarkWare, TA Ventures, and Arrington Capital (founded by TechCrunch's founder). Angel investors include Rand Hindi and Julien Bouteloup. In May 2025, Giza completed a $2.2 million seed funding round, led by Base Ecosystem Fund, with follow-on investments from CoinFund, Arrington Capital, Re7 Capital, and Contango Digital Assets. These two funding rounds demonstrate the capital market's ongoing optimism regarding Giza's vision in the "AI + DeFi" space.
4. Representative Product ARMA: Stablecoin Yield Optimization Agent
ARMA (Autonomous Revenue Management Agent) is a stablecoin yield optimization smart agent launched by Giza, aimed at maximizing automated yield across protocols for users. It is currently deployed on the Base network and plans to expand to more Layer 2 ecosystems, supporting mainstream lending protocols such as AAVE, Morpho, Compound, and Moonwell.
( 4.1 Overview of ARMA Working Mechanism
![AgentFi to XenoFi, a new paradigm for stablecoin yields])https://img-cdn.gateio.im/webp-social/moments-de27123568f85c35bb7e8af287749188.webp###
( Overview of 4.2 ARMA Component Module and Security Architecture
The Giza Agent architecture consists of six major modules: Smart Accounts, Session Keys, Agent Core, Protocol Integration, Risk Module, and Accounting Module, which collaboratively build a secure, efficient, intelligent, and verifiable on-chain automation execution system.
At the same time, ARMA ensures the safety of user funds and operations through a three-layer protection mechanism:
![AgentFi to XenoFi, a new paradigm of stablecoin earnings])https://img-cdn.gateio.im/webp-social/moments-edf4d625712f07f4ac7cd0551bea721e.webp###
( 4.3 ARMA Charging Mechanism and Revenue Management
The cost and revenue mechanism of ARMA is centered on user-friendliness, transparency, and efficiency, covering three main aspects:
![AgentFi to XenoFi, a new paradigm for stablecoin yields])https://img-cdn.gateio.im/webp-social/moments-7d04b27509e9a41bb69bc6387181d50c.webp###
( 4.4 ARMA's integration into DeFi protocols and data performance
Through ARMA's official data dashboard (metrics.gizatech.xyz), we can visually observe the continuous growth of its asset management scale and the number of smart agents within a few months of its launch. At the same time, the dashboard also displays the dynamic flow of assets among mainstream lending protocols such as Morpho, Aave, and Fluid. We are