A quick overview of AI agent types and projects worth noting

Author: Biconomy

Compiled by: Xiaobai Navigation coderworld

当我们听到 AI 和加密市场的融合时，主要受到关注的项目是那些在 AI 领域解决数据收集、GPU 计算或数据推理问题的网络。这些协议包括 Akash Network、Ritual net 等。它们通过利用 web3 The advantages it provides, such as decentralization, incentives, censorship resistance, and privacy, make it stand out in the large-scale AI industry.

虽然这些项目创造了引人入胜的应用程序，但它们对普通 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 is a platform that supports the creation and management of autonomous agent services. These services, called agent services, operate independently off-chain as multi-agent systems (MAS) and collaborate to achieve common goals. Autonolas enables developers to build and deploy autonomous agents that work seamlessly off-chain while leveragingBlockchainTechnology enhances on-chain functionality.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 is creating a “map” for AI agents to handle tasks and simplify on-chain activities for users. Through open source development and $PROMPT TokenBy incentivizing builders, Wayfinder will expand the navigation instruction network. Wayfinder's path will continuously enhance the capabilities of AI agents, making them smarter over time. It aims to connect blockchains and off-chain data sources, allowing users to easily perform tasks through the command prompt. Their innovation aims to make blockchain interactions more efficient and accessible, improving users' lives by reducing complexity and stress. You will like Wayfinder on @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 提供了开发人员可以集成到他们的应用程序中的 API，使用户能够通过提示生成 web3 交易，例如“你可以在以太坊主网上的 Uniswap 上将 10 USDC 换成 ETH 吗？”他们还通过提示提供智能合约部署服务。在后端，团队使用 LLM 将提示转换为 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.

Users can chat with Fungi to deepen their understanding of cryptocurrencies, get personalized guidance, perform on-chain transactions, create customized DeFi strategies (Hyphas), and evenCommunityShare these Hyphas to profit. Fungi is a network of agents that interact with each other and learn from past experiences - financial superintelligence available to everyone.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.

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