Do you know that AI agents have become essential elements in blockchain and Web 3, where anyone can enjoy faster and improved experiences and which could unlock new economic models? This could be something special, perhaps revolutionary.
Join us in this article as we outline the specifics of using AI agents within DeFi, public goods, and gaming, with a focus on the benefits and disadvantages of such an approach.
What Are AI Agents?
AI agents are software entities that can be assigned tasks, examine their (virtual) environments, and take actions as prescribed by their roles. They can adjust based on their experiences, and these agents come in different types:
Types of AI Agents
- Simple Reflex agents use condition-action principles. This means they do not respond to situations beyond the predefined rules and prompt data. As a result, they are suitable for handling simple tasks that do not demand comprehensive training.
- Model-based reflex agents assess the environment around them and make decisions based on their understanding of the world around them. This makes the agent more complex than the simple reflex agent.
For example, a self-driving car can detect the environment around it and decide how to drive. - Goal-based agents are agents that have an internal world model. They consider different approaches that help them make decisions that reach set goals.
For example, GPS navigation systems use the world map and traffic conditions to decide the fastest and shortest route to the destination.
- Utility-based agents can consider situations and choose ones that maximize utility. For example, trading robots can consider multiple factors to make the most profitable decisions.
- Learning agents learn from previous experiences to improve the outcomes of the next tasks. It is modified by changing sensor input and feedback mechanisms to meet certain standards. Besides, it uses a problem generator to create new problems to solve and trains itself from data compiled from previous experience.
As a result of their capabilities, these AI agents have gathered use cases in many areas, including;
AI Agents in DeFi
Smart contracts are a key element in DeFi where they help eliminate traditional intermediaries and offer direct access to financial services, unlike traditional finance. Their mechanics are sometimes challenging to understand; this is where AI Agents come in.
AI Agents can automate smart contract execution, which makes it easier for users to transact. We’ll take a look at some projects that introduce these AI agents in DeFi.
AIWayfinder
Wayfinder is a platform where user-owned AI agents act as crypto assistants within the user’s wallet. This means they can perform tasks such as minting, swapping, and bridging across chains like Ethereum and Solana just by prompting them to do so.
In the tweet video below we see what Wayfinder can do:
Questflow
Questflow is a project that creates decentralized profit-sharing platforms with a multi-agent workflow (more than one agent). These workflows enable very complex tasks, such as sharing content across accounts or performing research that we cannot do alone.”
It introduces Agent Teams, which is a concept that integrates and coordinates various AI services to create greater AI agents to help transform DeFi to meet complex real-world demands.
AI Agents in Crypto Public Goods
Public goods are goods that are available to all members of the crypto community. In blockchain systems, public goods include open-source software and decentralized content platforms. AI agents are revolutionary in this field. Let’s have a look at some projects developed to facilitate this.
Virtuals Protocol
Virtuals Protocol is developing a system where agents have private ownership and control over their tokens, which makes them financial assets. In this way, users can invest and receive a share of the revenue from the activity of the AI Agent. This means they work for you, and the revenue generated from them is shared with you – robots doing our work, essentially.
Anyone Can Create AI Agents: Virtuals Protocol on Base
Botto
Botto is a decentralized AI-generated platform whose creations are managed by community agents. Every week, AI generates thousands of unique images, which are then presented to the community. The community votes by staking the native BOTTO token to select their favorite image.
Every week after voting, one top-rated artwork is selected, minted on the Ethereum blockchain, and put on sale on SuperRare. After a sale, 50% of the funds are reinvested into the community and distributed to the members who participated in the voting. The voting feedback is also used to guide its future image generation.
Qstarlabs
QStarLabs is a decentralized generative AI protocol that empowers users to use AI to build, learn, and grow an AI influencer. It allows them to mint their AI influencer onchain and sell them on the marketplace. If this is done successfully, you can share it with your community. The project is still not live, but you can join the waiting list here.
AI Agents in Crypto Gaming
AI agents can be involved in more personal levels of interactivity in games. Some projects that make this possible are:
Onchain General Intelligence Network
The Onchain General Intelligence Network is a decentralized gaming platform where users create, train, and develop AI agents by playing games. These agents learn and grow through community interaction and can solve increasingly complex challenges, from simple games to advanced tasks.
Players earn tokens by helping train these agents, while anyone with an NFT that contains these agents would earn royalties when the agent is utilized or trained.
The AI agents are stored as NFTs. For example, Henlo Kart features races where hamsters, represented by AI agents, learn and improve with each race.
What is the AI and what is it doing? Does the AI do all the tasks or does it learn from human gameplay?
In Henlo Kart, the AI Agent is controlling the hamster’s race kart by taking an inference of the best next action from its world model, based on its observation of the current… pic.twitter.com/iErqrXhxbb
— agi intern
(@agi_intern) October 3, 2024
Parallel Colony
Parallel Colony is a game in which digital agents, represented as NFTs, autonomously exist and integrate within a virtual environment where players manage AI Agents that trade and operate themselves, improving the game.
Players can choose their level of involvement, from passive observing to active engagement with their AI agents. The game was created on Unreal Engine 5 and allows NFTs to function as independent wallets through the ERC-6551 standard, enabling them to conduct in-game transactions.
Each agent develops characteristics shaped by interactions and experiences within their gaming world.
Conclusion
As we conclude, we can see that due to the integration of AI agents, decentralized platforms are developing a new form of ‘autonomous’ functionality. This can mean the automation of complex financial tasks, smart contracts, or even market influence.
As this is the first time we explore AI agents, we can see this could be something bigger in the future where AI, Gaming, DeFi, and all other narratives reach a point of singularity.
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