Botega is a cutting-edge decentralized exchange (DEX) designed to prioritize and integrate autonomous agents as first-class participants. Operating fully permissionless on the ARNS botega (accessible via botega.ar.io, botega.arweave.net, etc.), it offers a robust, innovative trading environment. Botega supports sophisticated order types including trailing stop loss, dollar-cost averaging (DCA), limit orders, and more, each functioning as independent processes structured as simple autonomous agents. Additionally, Botega's AMMs (Automated Market Makers) are architected as autonomous agents, enabling dynamic and flexible liquidity reallocation.
In this video, we introduce Teal, a typed version of Lua similar to TypeScript for JavaScript, offering type annotations for secure coding. We cover the basics of typed Lua and show you how to maximize its features. Additionally, we'll discuss a biginteger implementation by the Autonomous Finance Team for precise and secure handling of large numbers in critical applications.
In this video, we explore AOForm, a tool for deploying and upgrading multiprocess systems in the AO ecosystem. Like Terraform, AOForm uses a single config file to simplify deployments. We'll show how it manages deployment states and efficiently upgrades components, making it essential for optimizing workflows and maintaining infrastructure.
In this video, we dive into the "Subscribable" package for AO, a crucial concept in the AO ecosystem. This package lets you subscribe to data and message streams from other processes, enabling event-driven architecture in distributed systems. It's essential for building low-latency, critical infrastructure and can also be used for streaming events on AO. We'll demonstrate how to use it across multiple processes, explain its anti-spam features, and explore how you can potentially monetize your data between processes.
In this video, we dive into testing processes and smart contracts on AO. We'll walk you through a framework we developed to make unit and mock-based testing easier. You'll see how we test an agent-based system with multiple processes and perform unit tests within a single process.
In this video, we explore the "Ownable" package for the AO platform, written in Lua. Similar to OpenZeppelin's Ownable, this package provides fine-grained control for AO processes and handlers. We'll show you how to implement it to enhance security and ownership management in your AO applications.
Dexi autonomously identifies, collects, and aggregates financial data from events within the AO network, including asset prices, token swaps, liquidity fluctuations, and token asset characteristics. Built on a network of autonomous agents and responsive components, Dexi’s terminal is permissionlessly hosted on Arweave. It caters to both end-users via dexi.arweave.net and AO apps that leverage Dexi data via message based interactions. Dexi's data subscription service, which removes the need for an external oracle and opens new revenue streams for developers of data-rich apps on AO.
The Autonomous DCA Agent executes a dynamic dollar-cost-average (DCA) investment strategy across various liquidity pools within the AO ecosystem. It automatically buys a base token at predetermined, user-configurable intervals using a consistent amount of a quote token for each transaction. The agent runs autonomously without off-chain signals or human intervention. In combination with its frontend on the Permaweb, it represents the first fully decentralized and uncensorable AgentFi application. As a Blueprint Implementation, the DCA Agent demonstrates the functionality and serves as a foundation for builders in the AO community.
Autonomous Finance is focused on research and development of AI-powered financial applications built on AO, the hyper parallel computer. We utilize AO’s decentralized compute environment to integrate AI onchain and generate new data-driven financial primitives to push the boundaries of what’s possible with financial applications and introduce global market intelligence onchain.
ao.link serves as a message explorer for the ao Network, offering functionalities similar to block explorers in conventional blockchain systems. It includes message compute capabilities, graphical visualization of message links for clarity, real-time message streaming for up-to-date information, and a list of linked messages for organized navigation. Users can also view their token balances and messages inboxes. This tool provides a professional and efficient way to interact with and analyze the ao Network's structure and activity.
DataOS is a protocol developed atop the ao Network, leveraging it for computing power and Arweave for data storage, creating a synergistic foundation for its operations. As a ContentFI protocol, it employs autonomous AI agents to source and regenerate content derivatives, aiming to foster engagement and fulfill the intent of consumers. Through this innovative approach, DataOS not only enhances content relevance and accessibility but also establishes a rewarding mechanism for content creators. It stands as a comprehensive system designed to bridge the...
ao combines blockchain's trust minimization with the speed and scalability of traditional computing environments, offering a decentralized platform for independent processes like websites or servers to communicate securely. Its architecture allows for hyper-parallel processing, autonomous operations, and a flexible computing environment, distinguishing it from traditional blockchains by its modular design, independence from a shared global state, and scalability. ao leverages Arweave for persistent, transparent, and verifiable data storage, enabling...