HeyAnon combines AI with DeFi to automate DeFi tasks and build trading strategies via a chatbot. It aggregates data from Messari, X (Twitter), GitHub, and other platforms to simplify DeFi for all users.
HeyAnon’s Automate Framework ensures error-free transactions by validating commands against predefined schemas, enabling autonomous strategies across multiple chains and protocols.
HeyAnon has integrated LayerZero for bridging, Aave V3 for lending, and DEX aggregators like 0x for network swaps. Its grants program offers up to $420,000 per integration.
The ANON token has a 20.8 million supply, of which 50% was allocated to the community in the initial ICO.
Primer
HeyAnon operates at the intersection of AI and DeFi (DeFAI), aiming to automate complex DeFi interactions. It uses natural language processing (NLP) to process user commands via a chatbot for tasks like asset bridging, token swaps, staking, and borrowing. The system aggregates data from several sources, including Messari, X (Twitter), Telegram, Discord, GitHub, and Gitbook, to provide market trends, sentiment, and development updates within a single interface.
The protocol operates through a dual system: Gemma, an intelligence layer that processes data from various sources, and an execution layer that implements strategies across protocols and chains. Both Gemma and the execution layer are powered by the Automate Framework, a TypeScript framework designed to integrate agents on multiple chains and protocols in parallel.
Since its inception, DeFi has seen continual innovation and optimization through new products like CLOBs, funding rate trading, smart debt, intents, and DCA strategies. However, the user experience has seen only slight improvements, often proving too complex for non-crypto native investors and hindering broader adoption. Today’s onchain trading experience has several limitations:
Cross-Chain Interoperability Gaps: Most chains lack native mechanisms for cross-chain transfers, requiring multi-step processes or intermediaries. This isolates ecosystems, limiting liquidity and market efficiency.
Liquidity Fragmentation: Liquidity is dispersed across platforms and chains, leading to higher slippage, elevated transaction costs, and inefficient price discovery due to reduced arbitrage opportunities.
User Experience Complexity: Users manage multiple wallets and interfaces with differing rules and security models. While aggregators help, the need to navigate independent systems remains a barrier, especially for new entrants.
Lack of Nuanced, Multi-Conditional Strategies: Existing DeFi applications do not support automated native implementation of conditional strategies like “sell 30% if Token A rises 20% and volume doubles, else hedge if it drops 10%,” forcing traders to forgo them or implement custom code.
To address these problems, HeyAnon aims to integrate AI into DeFi (DeFAI) to remove fragmentation and automate trading strategies.
Introduction to DeFAI
DeFAI (Decentralized Finance using Artificial Intelligence) integrates AI into DeFi to automate and streamline onchain processes. It uses three layers: abstraction (user intent input, e.g., text prompts), reasoning (translating intent into instructions, like selecting protocols), and execution (performing transactions, such as swaps or lending). Unlike traditional DeFi, it processes user requests into actions without manual steps, targeting tasks like trading and portfolio management.
HeyAnon implements this approach by building an architecture that executes onchain actions based on conditional events without human intervention. By owning the abstraction layer and integrations, HeyAnon can control the execution layer as well with a network of agent solvers.
Attribute Extraction: The AI model pulls all the relevant details from a prompt (what is said or typed). For example, if a prompt states, “Swap 100 USDC for ETH,” it picks out “100 USDC” (amount), “ETH” (target asset), and “swap” (action).
Intent Recognition: This refers to the AI model interpreting the meaning behind a request, even if it’s phrased casually. If a prompt states, “Trade USDC for ETH,” it understands the request to exchange one token for another and does not mistake it for a request to stake or borrow.
Transaction Flow Construction: The model builds a sequence of actions needed to make a request happen. For example, the prompt, “Swap 100 USDC for ETH,” might be built into the following sequence: (1) check the wallet for USDC, (2) find a trading platform, (3) set the swap terms, and (4) execute the trade.
With these capabilities, HeyAnon can engineer complex prompts using simple, natural-language prompts. This accessibility simplifies otherwise sophisticated trading techniques previously available only to those with programming expertise. A user only needs to open a conversation with the HeyAnon bot, have a funded wallet to trade, state the action they want to perform with specific conditions in natural language and click send. The bot then translates the request into the required DeFi interactions.
HeyAnon aims to expand beyond basic automation with Decentralized Autonomous AI Organizations (DAAIOs), where token holders define strategies and risk levels, and AI agents manage daily tasks. This could automate treasury management, adapt trading strategies, and optimize multichain operations, all while prioritizing reliable, validated DeFi automation.
Automate Framework
Automate is a TypeScript framework by HeyAnon designed to integrate AI agents on multiple DeFi protocols in parallel. The framework uses predefined rules called schema-based, typed interactions that specify the exact structure and data requirements for each DeFi action. This prevents developers from deploying incomplete or incorrect configurations.
Automate prioritizes deterministic logic, meaning the model operates based on predefined logic and rules. Unlike typical AI that might "hallucinate," AUTOMATE validates every step of a transaction against set parameters, eliminating mistakes. When an AI agent receives a command, it maps it to schemas specifying contract addresses, amounts, and slippage, verifying each against onchain data before execution. This powers HeyAnon’s natural language interface, where users say, "Swap $100 USDC for wETH" or "Bridge 1 ETH to Arbitrum when gas is low." The AI processes it into validated, automated steps, handling networks, contracts, and gas optimization.
The framework initially supports AI agent integration on IOTA EVM alongside other major Layer 1 and Layer 2 networks, including Solana, Arbitrum, Base, Avalanche, BNB Chain, Kava EVM, and Sonic.
Gemma: The Intelligence Layer
Gemma, an AI research agent, analyzes social sentiment, chat data, and blockchain metrics across crypto ecosystems, delivering insights on trends, protocol stats, and historical shifts for traders and analysts. It combines several onchain and offchain sources in its analysis:
Onchain Data Infrastructure:
Real-time feeds track prices, total value locked (TVL), and trading volume across chains, decentralized exchanges (DEXs), and CEXs.
Continuous monitoring of funding rates and yield opportunities from lending platforms, liquidity pools, and yield farms.
Offchain Intelligence Network:
Social media and Telegram monitoring of KOLs, project channels, and chat groups.
Real-time parsing of Discord channels and forums for developer updates, governance proposals, and insider discussions.
Messari research and data analysis to provide market trends, sentiment, and development updates.
Gemma transforms this vast amount of data into actionable intelligence tailored to each user's needs through strategy alignment, contextual analysis, and risk assessment. In the future, HeyAnon states Gemma will personalize information processing by learning individual preferences across investment types, explaining how opportunities fit within existing strategies, and offering comprehensive risk evaluations, including contract audits, liquidity lock periods, and onchain sentiment analysis.
HeyAnon combines cross-chain capabilities, lending, trading, and data analysis functions across multiple networks. Some of its most significant features include:
Cross-Chain Bridging: Integration with LayerZero enables token transfers across supported networks, with options to manage destination gas fees.
Lending and Borrowing: Supports Aave V3 for collateral supply and borrowing across chains, plus Spark (USDS/DAI), Sky (SKY rewards), and Wagmi (staking/yield) protocols.
Real-Time Data:Pyth Network provides price feeds for automation triggers based on market conditions.
Token Swaps: Integrates DEXs aggregators (0x, Odos, OpenOcean) to optimize swap routing and pricing across exchanges.
Automation Triggers: Offers time-based, gas-based, and price-based triggers for executing tailored strategies.
Data Aggregation: Collects data from social media, GitHub, and Gitbook and analyzes for insights. A February 2025 integration with RSS3 enhances this with structured Web1/Web2/Web3 data.
AUTOMATE Framework: Enables developers to add protocols securely, supporting extensibility and cross-chain operations.
Additionally, HeyAnon has launched a grant program, offering between $6,900 and $420,000, to accelerate protocol integration with a fast-track process for specific chains and protocols. To date, HeyAnon has integrated 15 protocols, with more in progress.
ANON Tokenomics
The ANON token, with a total supply of 20.8 million tokens, has the following allocation:
Team tokens vest monthly from March 2025 to February 2029, with 42% of the team supply vesting in year one and 19% vesting annually thereafter. ANON's utility includes Anon DAO governance, community benefits like discounted services on HeyAnon, project team compensation, and Automate framework grants. Additionally, HeyAnon states that the ANON token can be used to purchase compute power to reduce dependency on external providers.
Closing Summary
By leveraging natural language processing through chatbots, HeyAnon enables users to execute strategies like asset bridging, token swaps, and lending across multiple blockchains using tools such as LayerZero, Aave V3, and DEX aggregators. Its dual system—Gemma for data processing and the Automate Framework for execution—was designed to address DeFi’s fragmentation and poor user experience. The ANON token, with a 20.8 million supply and 50% allocation to the community, supports governance and ecosystem development, while a grants program incentivizes further integration.
Looking ahead, HeyAnon’s success could hinge on its ability to refine its AI-driven approach to deliver reliable, secure automation in a volatile DeFi landscape. Gemma could attract a broader user base if it evolves to become more personalized using real-time data and onchain analysis. Moreover, reaching DAOs and automating treasury management could signal more institutional use cases, especially as AI-based trading becomes normalized. Sustained growth could also depend on how well the team manages token vesting and community governance to maintain trust and engagement, especially as DeFi adoption grows and competition intensifies.
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Sam was previously a product manager at ether.fi, as well as LifeMed AI. He graduated from Ohio State University, where he founded the Ohio State Blockchain Club. He is now an Enterprise Research Analyst at Messari focused on finding the next best applications and protocols in internet finance.
Sam was previously a product manager at ether.fi, as well as LifeMed AI. He graduated from Ohio State University, where he founded the Ohio State Blockchain Club. He is now an Enterprise Research Analyst at Messari focused on finding the next best applications and protocols in internet finance.
