Introduction to DeAgentAI

DeAgentAI is committed to developing the first fully on-chain Omni Intelligent Blockchain System (OIBS), aiming to address many of the challenges currently faced by the Web3 industry, including high transaction costs, poor network performance, complex user experiences, and limitations in consensus mechanisms. The goal is to create a more efficient, secure, and user-friendly AI-driven ecosystem that attracts greater participation from Web2 users while accelerating the development of Web3 by integrating blockchain and AI technologies. DeAgentAI’s OIBS optimizes Solana through AI infrastructure, delivering the following enhancements:

• Reducing Transaction Costs
  By optimizing Solana’s performance and transaction fees, OIBS significantly lowers user transaction costs, increasing the feasibility of micropayments and small-scale transactions.

• Improving Network Performance
  Comprehensive AI-driven optimization enhances network efficiency and transaction processing speed, reducing confirmation times for each transaction and dramatically increasing throughput to support larger-scale applications.

• Simplifying User Experience
  By introducing an intent-based interaction model and optimizing user interfaces, it enables more intuitive user interactions with blockchains and Dapps. Users can engage without understanding complex technical principles or operational logic, lowering entry barriers and creating a smoother user experience.

• AI-Driven Consensus Mechanism
  Replacing human-driven consensus with AI-automated decision-making eliminates biases and uncertainties caused by human emotions, delivering more objective and rational judgments to improve fairness, transparency, and system efficiency.

• Comprehensive Developer Support
  DeAgentAI allows any developer to deploy their AI Agent on its platform and uses token incentives to encourage high-quality innovation. Additionally, it provides extensive developer tools to simplify the creation of decentralized applications.

Team and Funding Background

Founded in 2023, DeAgentAI’s core team remains anonymous apart from co-founder Yves-Alexandre Kolter d’Ouradou. The team primarily consists of AI scientists from top universities, including Carnegie Mellon University and UCLA, with extensive technical expertise in AI. In August 2024, DeAgentAI secured $6 million in seed funding led by We3.com Ventures and Vertex Capital. Other prominent investors include Goplus, UXLINK, Higgs Capital, and Kernel Labs.

Operating Mechanism of DeAgentAI

DeAgentAI Workflow (Source: DeAgentAI Whitepaper)

First, DeAgentAI’s OIBS deploys various types of AI Agents across multiple blockchain networks. Each AI Agent specializes in specific tasks, such as executing smart contracts, managing DeFi operations, and facilitating cross-chain transactions. Configuring a diverse array of AI Agents addresses the wide range of user needs.

Next, when users input commands into the terminal, DeAgentAI’s indexing network evaluates and ranks the suitability and efficiency of each AI Agent for the task using a specialized formula. The evaluation considers the following factors:

• Reliability: Uptime, historical performance, and other indicators
• Cost Efficiency: Transaction fees and execution time
• Processing Capability: Speed and accuracy in completing tasks
• User Preferences: A personalized score based on past usage history and preferences

After the assessment, MAIN selects and activates the optimal combination of AI Agents on the required blockchain to complete the task. This architectural design enables DeAgentAI’s OIBS to flexibly meet diverse user demands across any blockchain, delivering efficient and personalized intelligent services.

Core Products

In the OIBS system, DeAgentAI utilizes the collaboration of multiple AI Agents to execute various assigned tasks. This section provides a detailed introduction to the nine AI Agent products that DeAgentAI is currently developing or has already developed.

Meme Hunter

Meme Hunter is a Google Chrome extension that can identify text, images, and video information to analyze large volumes of content on X (formerly Twitter) and extract key insights related to meme coins. By integrating multiple APIs, Meme Hunter provides real-time tracking of market data such as price fluctuations, liquidity, and trading volume for meme coins. Beyond information gathering, Meme Hunter also offers multi-dimensional analysis based on user needs, including market trend predictions, identification of potential investment opportunities, risk assessment, and current popularity, helping users make accurate investment decisions in a short timeframe. 4o

BTC Predictor

As the name suggests, BTC Predictor collects various on-chain and off-chain data, such as transaction volume on the Bitcoin network, order book distribution on exchanges, historical Bitcoin prices, macroeconomic indicators, market sentiment, and more. Using deep machine learning models for market analysis, BTC Predictor continuously optimizes model parameters through simulations of different market behaviors, ensuring accurate Bitcoin price predictions regardless of complex market conditions.

DeAgent Terminal

DeAgent Terminal is a multi-functional platform that combines AI and Web3 technologies, integrating the GPT-4 model to enhance natural language processing capabilities. Users can simply express their needs in plain language, such as “Check wallet balance” or “Send 1 SOL to a certain address,” and the system will automatically translate it into specific technical details and execute the task. The entire process requires no blockchain expertise, enabling users to perform advanced operations effortlessly. In terms of architecture, DeAgent Terminal uses a microservices framework to modularize the platform’s features, allowing each function to operate and update independently. It also enables users to develop and integrate custom plugins using the platform’s provided APIs and SDKs, extending its functionality to meet personalized user needs.

MemeX

MemeX is an intelligent trading platform designed specifically for Telegram, capable of real-time monitoring and detecting meme coin-related content in Telegram groups and channels. It provides AI-driven market analysis tools to help users understand the market conditions of tokens. Additionally, MemeX features an integrated on-chain wallet that supports multi-chain asset management and trading. It also integrates multiple decentralized exchanges, enabling users to perform cross-platform, real-time, automated trading.

Trump’s Trip

Trump’s Trip, built on TON, is a GameFi platform that combines political simulation, AI, and blockchain technology. The game is set against the backdrop of Donald Trump’s presidential campaign, using AI to generate dynamic scenes that simulate various events encountered in real political activities. Players must allocate resources and make decisions according to the situation, earning rewards based on their in-game performance while competing against opponents to win the election. The game uses Reinforcement Learning to dynamically adjust the difficulty, ensuring a unique experience each time, offering players an innovative and immersive gaming experience.

Trending Analytics

Trending Analytics is an AI-driven market analysis tool that helps users quickly identify the latest market trends and provides intuitive visual charts, allowing users to easily grasp real-time market dynamics. The tool collects vast amounts of data from exchanges, blockchain networks, news sites, and social media. Using NLP technology, it analyzes market sentiment and key messages from text, quantifies the insights, and combines them with fundamental analysis, sentiment-based news assessments, and advanced technical indicators. Machine learning models are used to create predictions, with the analysis results displayed in a bubble chart format. This makes complex data easier to understand and adds interactive features to enhance the user experience, providing clear guidance to users in the fast-changing crypto market.

Arbitrage Bot

Arbitrage Bot is an AI-driven trading platform designed to capture various arbitrage opportunities in the crypto market, including arbitrage between exchanges, funding rate arbitrage, MEV, and interest rate differential arbitrage. The platform continuously monitors data from multiple exchanges in real time, seeking potential arbitrage opportunities. It combines predictive models and optimization algorithms to accurately calculate the cost and return of each arbitrage, ensuring that every trade achieves the best profit with minimal risk. Once an opportunity is identified, the system executes the trade immediately, guaranteeing timely and accurate execution. Arbitrage Bot’s intelligent automated arbitrage strategy offers a comprehensive and efficient trading model, enabling investors of all levels to achieve stable returns in a rapidly changing market.

KOL Connect

KOL Connect collects all publicly available content from KOLs across social media and video platforms. Using NLP and sentiment analysis, it processes the data to simulate and recreate the KOL’s personality, viewpoints, and speaking style, enabling users to interact with a virtual KOL. Users can engage in conversations where the virtual KOL shares expertise and answers questions, providing an almost real-life interaction experience. The virtual KOL’s model is retrained based on social media updates and user feedback, automatically adjusting the generated content to ensure responses align with the latest trends. Additionally, all user interactions and data with the virtual KOL are encrypted and stored securely, preventing personal information leaks or misuse, ensuring privacy and data security. With high-precision personality simulation, continuous learning capabilities, and strict security protocols, KOL Connect significantly bridges the gap between users and KOLs, creating a safe and reliable platform for realistic interactive experiences.

AlphaX

AIphax, an AI model incubated by the DeAgentAI community, is the first AI Agent launched by DeAgentAI. It provides traders with accurate market predictions based on market data and user feedback. Its development is divided into two phases:

• Phase 1
  The primary goal is to develop and improve the AlphaX model and its prediction accuracy. The approach involves deploying the first version of AlphaX based on market data to offer market price predictions for the next 2 to 72 hours. A “Proof of Insights” mechanism is introduced, where a simulated trading platform using a points system encourages users to participate in price predictions and submit market insights, optimizing the model’s prediction capability in a simulated trading environment.

• Phase 2
  This phase focuses on developing a fully autonomous AI trading system, aiming to apply the optimized AlphaX to generate and execute automated trading strategies. In this phase, AlphaX generates a rule engine based on reinforcement learning results, which consists of a series of trading rules and conditions for executing trades. This provides AlphaX with a systematic decision-making framework, ensuring that trades align with predefined strategies, while dynamically adapting to improve its trading approach as AI explores the market environment.

By autonomously generating and executing trading strategies, AlphaX represents the shift of AI from a supportive tool to an independent operating entity. It not only enhances trading execution efficiency but also significantly reduces the need for human intervention, further expanding the potential applications of AI Agents in the crypto market.

Tokenomics

Distribution of DeAgentAI’s native token AIA (Source: @deagent.ai/deagentai-tokenomics-building-a-decentralized-ai-agent-platform-f31b087f1b84">DeAgentAI Tokenomics: Building a Decentralized AI Agent Platform）

DeAgentAI’s native token is AIA. Holders will gain governance rights within the protocol, participate in platform decisions, and unlock advanced features by burning tokens. DeAgentAI will also use part of its protocol revenue to repurchase tokens, half of which will be burned, and the other half will be used to reward miner holders and active participants in the protocol, while maintaining the value of AIA through the burning mechanism. In the future, DeAgentAI will introduce more specialized agents like CorrAI and MemeAI to expand the protocol’s functionalities further and increase the intrinsic value of AIA tokens.

The total supply of AIA has not been announced by the official team, but the token distribution is as follows:

• Team and Advisors (23%): To ensure continuous involvement of core members
• Community (30%): To reward active users, governance activities, and promote ecosystem development
• Ecosystem Fund (25%): For protocol development, expanding partnerships, and ecosystem growth
• Investment Institutions (14%): To promote strategic collaborations and resource acquisition
• Liquidity Provision (8%)

Development Overview

Although still in the testing phase, DeAgentAI, as a full-chain protocol, has been actively promoting ecosystem collaborations with other projects to accelerate the market adoption of AlphaX.

• In September this year, DeAgentAI announced its first incentive campaign, AA’s Dog, and launched GUESS2049 in collaboration with Bsquared Network and 10 other ecosystem projects. They deployed the first BTC prediction market, where participants could share a reward pool of 50,000 USDT prepared by Bsquared and DeAgentAI, as well as token rewards from 12 participating projects. The event accumulated 300,000 users and over 440,000 on-chain transactions.
• In November, DeAgentAI partnered with BitLayer to launch the AlphaX Royale campaign, collaborating with projects like oooo and KiloEx. They set up a Gas reward pool and distributed $200,000 worth of BaoXiang and 10 million AlphaX points to reward participants.
• In December, DeAgentAI accumulated over 5 million active addresses and more than 70 million on-chain transactions, making it one of the most active projects on Movement. At the same time, DeAgentAI announced the launch of a new campaign season, Joe’s Cat, with 200 million AIA tokens prepared as ecosystem incentives.

This shows that through continuous reward programs with various partners, DeAgentAI is not only accelerating the training of the AlphaX model but also significantly improving user retention and engagement.

Future Outlook and Conclusion

Currently, most AI Agents in the Web3 industry operate individually, each belonging to different systems and unable to collaborate with each other, performing only singular functions. DeAgentAI’s advantage lies in its multi-agent architecture, combined with reinforcement learning and natural language processing technologies. This allows it to flexibly deploy different AI Agents based on user needs, while also providing an intuitive interface that makes it easier for users to get started and lowers the barrier to entry, thus completing various assigned tasks. In the future, DeAgentAI will continue to collect more high-quality data to optimize models and release more AI Agents with different functions, further enhancing the platform’s application scenarios.

However, DeAgentAI faces some challenges that need to be addressed. Firstly, while the whitepaper mentions the launch of several self-developed AI Agents, the only product currently in testing, AlphaX, was developed and deployed by the community. Although the official team likely assisted in this process, the fact that the first product was not led by the official team, as mentioned in the whitepaper, raises questions about the team’s technical capabilities. After all, each AI Agent requires significant development effort to perfect, and DeAgentAI claims it will have at least eight agents. Whether their development speed can meet market expectations will be crucial; otherwise, the multi-agent architecture design could become an empty promise.

Secondly, as the platform’s functionality expands, user security and privacy will become a key issue, especially when multiple agents collaborate on tasks. Ensuring that user data does not leak during the process will be critical. However, DeAgentAI is still in its early stages of development, and its innovative multi-agent architecture is expected to set a new paradigm for AI Agents as technology continues to improve, providing Web3 users with a more efficient and secure experience.