Starting from the third quarter of 2024, AI agents have started to be applied in many areas, including cryptocurrency projects. Some blockchains have started to use AI to create true decentralization and to eliminate unfair blockchain governance. In 2025, AI agents began to take over larger niches. Such as managing social networks, analyzing activity and filtering incoming information to the end user.
Until recently, many traders based their trading strategies only on information from closed and open sources, as well as the forecasts of Influencers and “Whales” of trading and crypto world. All this allowed to maintain the necessary PNL at the proper level. But there are events that are difficult to predict and even more difficult to keep track of the necessary information in the huge flow of incoming information in social networks and information resources.
Artificial Intelligence-based trading agents have been popping up in recent years as a result of AI adoption in the cryptocurrency market, and VOOI has turned its attention to them as a useful tool for trading.
Combining artificial intelligence and DeFi is not a new concept, it beckons with its promise and promise: maximizing profits with minimal manual work.
But how do these agents contribute to the growth of decentralized finance and commerce?
What is their functionality?
Let’s try to get to the bottom of it.
This article was created in close collaboration with @askjimmy_ai and @AvlaApp, platforms that use artificial intelligence to power agents.
Crypto AI Agents are the autonomous assistants, tailored to carry out crypto-related tasks. Just like you ask Grok, ChatGPT or Gemini “to prepare a short summary of something” — you prompt AI Agents to the crypto-related problems.
These AI Agents are powered to gather, collect and translate the information to create the insights, suggestions and strategies to make DeFi operations better.
AI Agents, according to the research data, have spawned over $15 billion in the market capitalization by the end of Q4 2024, while also surging in the number of transactions. The most popular AI Agents are mostly presented on Solana and Base blockchains. But other blockchains such as Autonomys are also being developed at the moment.
The cryptocurrency AI agent ecosystem is multifaceted and brings together different artificial intelligence models, each specialized to perform specific tasks.
Some of them are focused on crypto investments and smart fund management (like Arok VC and agents built on ElizaOS by a16z);
While others utilise the research frameworks to support crypto users information-wise (Kaito Platform, AIXBT, GRIFFAIN, etc.);
There’s also Askjimmy — an autonomous trading agent enabling research, sophisticated strategies execution, backed by various DeFi and TradeFi data sources.
Besides the differences in the framework each type of AI Agent utilizes, they’re designed to strengthen the positions of traders in the market pace, improve the DeFi trading and investment tools.
One of the AI Agents categories that is directly applicable to the real use cases in DeFi is the
Autonomous Research Agents (ARA)
Autonomous Research Agents: A Special Role in DeFi
Autonomous research agents with general AI are built on four key concepts: collecting and aggregating data from various sources (on-chain, off-chain, news feeds, analytics platforms, etc.), then analyzing it, predicting it, and finally executing predicted actions.
In the DeFi sphere, autonomous AI agents act as the most advanced and intelligent financial “brains”. They analyze markets and investment opportunities, providing traders with tools to execute transactions on blockchain. The main task of autonomous AI agents is to generate effective ideas for traders and offer them trading strategies to implement.
Autonomous research agents usually do not perform their tasks, but rather assist and inform.
There are several implementations of how traders can interact with AI Agents. The simple simulation of using an AI Agent could look like that:
While trading on your usual platform (f.e. VOOI Trading Terminal), you choose a specific tokenized AI Agent or a platform alike (example: Alva by Galxe) to assist you with the trading strategy;
As you initialize the AI Agent operation, you may either top it up with funds (basically, purchasing the AI Agent token), or purchasing an access to the AI Agent database directly via subscription; It’s important to note that these are just some of the options on how to power AI Agents to operate.
In some cases (like with the AIXBT AI Agent) you get access to the AI-powered market insights and data, tailored to your trading preferences.
The main challenges in this case are the scope and size of information AI Agents have, as well as their popularity. The more traders engage with them, the better the suggestions they provide.
One of leading examples of AI Research Agents is
Alva
- an assistant built to help traders navigate the noise of crypto markets with clarity and speed.
Alva aims to surface high-signal insights on on-chain activity, sentiment shifts, and token fundamentals, enabling users to catch trends early, avoid traps, and make sharper decisions. By acting as a research co-pilot, the platform helps reduce the time it takes to go from signal to strategy — giving traders a consistent edge in fast-moving markets.
Available as a chatbot, browser extension, and Telegram bot, Alva integrates directly into the tools traders already use. The team is also exploring agent-driven alert systems, pointing toward a future where personalized AI assistants help scale every trader’s edge.
Nevertheless, the use cases of AI Agents focus on elevating DeFi experience, including research assistant, and in some cases — automation, vault and hedge fund concepts implementation.
AI accelerates DeFi — what VOOI strives to do as well.
Autonomous Trading Agents: Democratizing Finance
AskJimmy
is built on two powerful pillars, the Library and the Trading Floor. The goal is to bring institutional-grade trading capabilities to DeFi, enabling internet capital markets to thrive on Solana.
The Library: This is the most comprehensive trading strategy database ever built for DeFi, consuming not only DeFi native data but decades of proprietary TradFi data and research from Columbia University. This is a vast repository of trading knowledge that any AI can tap into. It’s not just data though — it’s decades of trading wisdom translated into actionable strategies
The Trading Floor: A multi-agent system where AI collaborates like a professional hedge fund. Multiple AI agents are working together, each specializing in different aspects of trading, collaborating like the world’s most efficient trading desk. Ask Jimmy is currently backtesting several new strategies and the community has originated several themselves.
AI in VOOI: Unlocking Smarter Trading
As VOOI
steps further towards the release of VOOI V2 and implementing Chain Abstraction and Derivatives Marketplace concepts, the AI Agents ecosystem looks like a natural fit.
And here’s why:
Derivatives Marketplace enables trading of diversified markets: crypto, non-crypto, traditional ones like stocks, Forex, commodities;
Chain Abstraction seasons V2 with the features of gasless, no-bridge trading, handling all trades via one wallet, across both EVM and non-EVM blockchains;
AI implementation (through the AI Agents) strengthens the trading efficiency, allowing to detect inefficiencies, manage risks and unlock more profit opportunities.
This combination accelerates and transforms DeFi trading from casino-like experience into a sophisticated financial tool, democratizing finance for traders everywhere.
Though, the discussion is quite fresh: is there a possible practice of merging AI with trading applications like VOOI or they shall exist independently?
This article was created in close collaboration with @askjimmy_ai and @AvlaApp, platforms that use artificial intelligence to manage agents.
The article is based on an article from the official vooi Twitter account