The Integration of AI Agents and Blockchain: AO Network Opens a New Financial Paradigm

In the future world, AI agents may form a digital symbiotic relationship with humans. These autonomous agents can clarify intentions through dialogue based on users' natural language needs, automatically break down tasks, and achieve expected results.

The AO network has established an Actor-based asynchronous parallel system that achieves massive scalability of computing power by reaching consensus only on the order of transactions, rather than on the entire computation process of contracts. This network uses AR as the consensus layer for transaction order and the state storage layer.

Compared to other mainstream blockchain projects, AO's infrastructure supports more complex computing capabilities, including the operation of AI models. The recent update of the WASM virtual machine allows AO's computing units to access 16GB of memory, sufficient to run large language models such as the unquantized version of the Falcon series of Llama 3.

AO also adopts WeaveDrive technology, allowing users to access Arweave data within AO just like accessing local hard drives, and supports processes of different types of virtual machines to interact in a shared environment. This increases the possibilities for data sources and combinations, while enhancing the motivation for users to upload data to Arweave.

The system design of AO makes it possible to implement smart contracts that integrate AI agents. By programming in AO, AI agents can be created to make intelligent decisions in the market, where agents may compete against each other or represent humans against humans. This design opens up new possibilities for automated trading in the future.

The development of DeFi allows for various financial operations to be executed on-chain without relying on centralized entities. However, the core of market vitality still lies in capital flow and decision-making. The growth of AO may expand the scope of intelligent decision-making in the market by integrating the wisdom of AI agents for real-time decision-making, creating a rich decentralized autonomous agent financial system.

Currently, projects such as Autonomous Finance (AF), Dexi, and Outcome have begun to realize this vision.

Autonomous Finance

AF focuses on developing AI-integrated financial applications on AO, bringing smart decision-making onto the Blockchain. Its main businesses include core infrastructure, smart agent finance (AgentFi), and content finance (ContentFi).

Core infrastructure includes protocols such as decentralized exchanges, lending, derivatives, and synthetic assets.

AgentFi executes trading strategies through composable semi-autonomous and fully autonomous agents. These agents self-learn using on-chain data streams to implement investment strategies within the AO ecosystem without the need for off-chain signals or human intervention.

Typical autonomous agents include:

• Dollar Cost Averaging Asset Management Agent
• Self-balancing Autonomous Index Fund
• Autonomous hedge fund with customized risk strategies
• Yield Aggregator Agent
• On-chain prediction agency
• High-frequency trading agent

Among them, the DCA agent serves as the basic agent, providing various customizable parameters, such as triggering trades within a specific price range, adjusting trade time intervals, and price-weighted trading.

Content finance is a framework that monetizes data on Arweave into AO composable assets. AF is building applications that allow data contributors or content funds to contribute data to the permaweb as on-chain signals for autonomous agents and machine learning.

AF has launched two main products: AO Link and Data OS. AO Link is the message browser of the AO network, providing functions such as message calculation, visualization, and real-time message flow. Data OS is the ContentFI protocol, which uses autonomous AI agents to acquire content and regenerate content derivatives.

Dexi

Dexi is an application on the AO network that can autonomously identify, collect, and aggregate various financial data. It serves end users and AO applications, providing data subscription services that allow processes on the network to pay for data streams and receive timely update alerts.

Outcome

Outcome is a prediction market platform that allows users to bet on various events. The prediction topics cover technology, memes, business, gaming, DeFi, and AO. In the future, users may place automated bets by building autonomous agents based on large language models.

AgentFi on AO provides us with a new perspective, exploring the possibility of directly deploying AI models on the Blockchain and using AI agents to execute automated trading. The design of AO+AR breaks through the limitations of traditional monolithic blockchains, and we look forward to seeing more applications on AO and cases where AI agents realize financial strategies.