A quick overview of AI agent types and projects worth noting

Author: Biconomy

Compiled by: Xiaobai Navigation coderworld

When we hear AI When the market converges with the crypto market, the projects that have received the most attention are those networks that solve data collection, GPU computing, or data reasoning problems in the field of AI. These protocols include Akash Network, Ritual net, etc. They use web3 The advantages it provides, such as decentralization, incentives, censorship resistance, and privacy, make it stand out in the large-scale AI industry.

While these projects have created fascinating applications, they have web3 用户的影响仍然有限，并未有效地将新用户带入 web3 领域。

AI The rise of agents

With the rapid development of Web3, new encryption protocols,TokenEven the most experienced users find it difficult to cope with this complexity. As a result, there is a growing need to create AI agents thatThese smart assistants are designed to make using crypto apps easierThe AI agent is incryptocurrency和人工智能的十字路口，旨在解决加密货币中复杂的用户体验问题。试想一下，在未来，You simply tell the AI agent what task you want to complete on-chain, and it will automatically write and execute the necessary transactions for you.

AI agents will help us build an intelligent layer on top of the existing DeFi infrastructure, which will be equivalent to bankers, investors, traders, and fund managers in traditional finance in web3. They will use the underlying technology to conduct transactions on the chain.

The integration of DeFi and AI is expected to bring advanced applications such as AI-driven lending, smart liquidity mining strategies, automated market making, and AI-assisted portfolio management. The application of AI agents is not limited to this, they can also be used in the gaming industry, allowing users to have assistants and pets to help them experience the game better.

The evolving field of AI agents can be broadly categorized into the following categories based on the type of use cases and value-added brought by the protocols:

Classification of AI Agents

Game AI Agent:

Teams like Parallel Colony are developing gaming AI agents to enhance the user’s gaming experience. These AI agents run in a Web3 environment and use on-chain intelligence tocontractInteract with players and game elements.AI agents can act on behalf of users or serve as pets/assistants in games. These agents can also interact with other agents and trade assets.

Some web2 and web3 games are also actively using AI to design dynamic non-playable characters (NPCs) in games. However, this article only focuses on AI agents that can perform transactions and actions on behalf of users.

Self-directed portfolio agent:

These AI Agents can manage pools of assets from different users.The goal of the AI agent is to maximize returns by allocating assets to various DeFi strategies by leveraging off-chain AI data streams. This is actually a portfolio management service that leverages AI capabilities. To ensure trust in the protocol is minimized, some projects also enableZero knowledge proof (ZK) to provide on-chain AI reasoning proof.

Prompt-based AI agents:

Imagine that in the future,You just need to tell AI The agent tells you what you want to achieve on the chain, and it will automatically write and execute the necessary transactions for you.

This is the goal of most AI agent projects, and we can imagine that in the future prompts may become theBlockchainThe preferred method of interaction.

Projects like Wayfinder, Brian Knows, Aperture Finance, etc. are developing interfaces similar to ChatGPT, where users can chat with AI agents directly inBlockchainThese protocols use large language models (LLMs) to translate user prompts and intentions into executable trades.

Let’s discuss some of these AI agent protocols in detail:

Autonolas Agent

Autonolas 是一个支持创建和管理自治代理服务的平台。这些服务被称为代理服务，作为多代理系统 (MAS) 在链下独立运行，协同实现共同目标。Autonolas 使开发人员能够构建和部署自主代理，这些代理在链下无缝协作，同时利用区块链技术增强链上功能。BabyDegen This is one such agent.A directory of other proxies built on Olas Network )

AutoTX by Polywrap

Polywrap is building a network of specialized AI agents that perform complex tasks for web3 users and protocols. These agents leverage crowdsourced insights, on-chain and off-chain data sources, task planning, and batched transactions to efficiently solve problems and make decisions. Current agents include those for payments, market research and trading, social content curation, forecasting, and public goods financing. Polywrap's future plans include expanding the scope of specialized agents, decentralizing their execution, andCommunityAutoTx is one such AI agent.

AutoTx can translate advanced user goals into a series of blockchain transactions. This means you no longer need to be an expert in each protocol, nor do you need to spend hours learning how to manually write different types of transactions. Just tell AutoTx what you want to achieve, and it will do the rest.

Parallel Colony

Parallel Studios takes a fresh approach to AI agents with Colony, a new AI-driven Web3 survival game. In Colony, highly autonomous AI agents, or “avatars,” continuously learn from their environment. Players must guide and work with these avatars, each with different skills and abilities, to survive competing colonies on a futuristic Earth.

Colony stands out by incorporating continuous learning into its gameplay. AI avatars develop unique personalities and worldviews, learning from their own experiences, identities, and goals. In addition, these avatars can be accessed through a dedicated Web3 walletAutonomously manage digital assets, allowing them to trade with other in-game avatars.(White Paper Reference)

Wayfinder

Wayfinder 正在为 AI 代理创建一张“地图”，以处理任务并简化用户的链上活动。通过开源开发和用 $PROMPT 代币激励建设者，Wayfinder 将扩展导航指令网络。Wayfinder 的路径将不断增强 AI 代理的能力，随着时间的推移使它们变得更加智能。它旨在连接区块链和链下数据源，允许用户通过命令提示符轻松执行任务。他们的创新旨在使区块链交互更加高效和可访问，通过降低复杂性和压力来改善用户的生活。你会喜欢 Wayfinder 上 @tiggity_tc This analogy and explanation ofVideo reference of the Pathfinder agent running & White Paper Reference)

Noya

NOYA is a decentralized finance (DeFi) protocol that enables AI agents toSafety, precisely manage liquidity across multiple blockchains. It uses a composable system built from the ground up, including a private gatekeeper network, an AI-compatible oracle, and a competitive environment for AI and strategy managers. Noya has multiple vaults, each targeting a different user intent profile. The protocol has its own AI oracle designed to read various DeFi markets and pass information to AI agents.

NOYA's infrastructure uses advanced technologies such as zero-knowledge machine learning (ZKML) to support multiple functions such as liquidity configuration, leverage management, and lending rate optimization. It aims to set new standards for full-chain liquidity management and financial strategies. The team is launching access to the protocol.

Brian Knows

Brian provides an API that developers can integrate into their applications, enabling users to generate web3 transactions via prompts, such as “Can you swap 10 USDC for ETH on Uniswap on Ethereum mainnet?” They also provide smartcontractDeploy the service. On the back end, the team uses LLM to convert prompts into Xiaobai Navigationweb3 transactions and then executes them through its preferred protocol and solver integration.

The team has also developed a Brian app that you can use to explore the feature set. The team hopes to expand their service by offering users features like recurring and automatic payment setup.

Aperture Finance

Aperture Finance revolutionizes DeFi by providing liquidity management services through a user-friendly protocol. It aims to enhance the DeFi user experience through an intuitive chatbox interface inspired by GPT, allowing users to express their goals in natural language. Third-party participants (called solvers) handle requests by optimizing the process to ensure efficient and cost-effective execution.

Fungi Agent

Fungi leverages the power of Smart Accounts and Account Abstraction to provide a self-hosted AI agent experience. Fungi allows users to instruct a command prompt through its interface, which then processes real-time blockchain data and autonomously performs actions based on the user's instructions.

用户可以与 Fungi 聊天以加深对加密货币的理解、获得个性化指导、执行链上交易、创建定制的 DeFi 策略 (Hyphas)，甚至通过与社区分享这些 Hyphas 来获利。Fungi 是一个由代理组成的网络，它们相互互动并从过去的经验中学习——每个人都可以使用的金融超级智能。以下是How Fungi Agent works.

Fyde Protocol

Fyde enables users to grow their cryptocurrency holdings faster by depositing into diversified AI-managed vaults that lock in gains and reallocate assets based on market performance and reduced volatility.

用户可以将各种代币存入这些金库并接收 $TRSY，这是一种代表他们在金库资产中份额的代币。燧炻旨在在各种市场条件下保持 $TRSY 的流动性，使用户能够轻松交易。

The Need for an AI Authentication Layer for Intelligent Agents

Among all these upcoming AI and intent-related projects, potential use cases range from handling simple tasks to empowering AI agents to execute complex DeFi strategies to find the best returns. However, these AI agents face two main challenges:

• They are not truly autonomous:Currently, AI agents can recommend on-chain operations and prepare transactions for users, but they still require user signature or approval.

• If they choose automation, they loseSafetysex:Protocols tend to explore automated alternatives such as approvals, centralized vaults, shared private key pairs, etc., which make the protocol the custodian of your assets and introduce significant risks.

We need guardrails for the AI in the form of user-defined permissions — strictly defining the actions the AI is allowed to sign and the actions it is not allowed to sign. Therefore, we need a solution that can delegate transaction authorization to the AI agent, but only within specific permissions and rules.

The article comes from the Internet:A quick overview of AI agent types and projects worth noting

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