📪Technology

Helion AI Lab

Overview

Helion AI will leverage the Internet Computer (ICP) canister architecture. The application platform will facilitate the creation and browsing of AI agents.

The Helion AI application is a marketplace for building an AI agent. These agents are based on a DAG. Clients can log in to the platform using their ICP web3 wallet, and numerous third-party wallets are supported.

The platform is integrated with other services like X, Telegram, and other websites to provide a robust user experience. By integrating with these platforms, the Helion application can reach a wider audience, facilitate seamless data sharing, and provide users with real-time updates and notifications.

AI Agent Marketplace

AI agents are becoming pivotal technologies in the Web3 landscape, enhancing functionality and user experience across decentralized platforms. Helion AI platform will enable individuals and enterprises to build autonomous agents and deploy on-chain products in a decentralized ecosystem.

Platform Structure

Helion AI agent marketplaces serve as web3 digital ecosystems where creators can host their AI agents. Users, including businesses and individuals, can browse a catalog of available AI agents tailored to specific functions such as DeFi Manager, Security Sentinel, Research GPT, Trade Assist, Chain Fusion Navigator, and Trade Assist. Each agent typically comes with detailed descriptions of its capabilities, target use cases, and pricing models.

Off-Chain / External Compute

Helion AI platform uses central database storage such as PostgreSQL to store off-chain data for AI vector embeddings. We also implement off-chain storage to handle complex AI functions performed by the user which can't be stored on the blockchain. Finally, we have implemented a sandbox environment which is used to execute AI agents in a secure manner.

Agent Search Feature

Users can utilize search and filtering tools to find agents that meet their specific needs. Once an appropriate agent is identified, then users can easily integrate it into their existing workflows. This streamlined process minimizes the technical barriers often associated with deploying AI solutions.

AI Agents

1) Research GPT

Advanced AI researcher agent that scans blockchain data, smart contracts, and DeFi protocols to provide real-time market insights and thorough analysis. Equipped with cross-chain compatibility and secure data verification.

2) Trade Assist

Your personal trading companion powered by machine learning algorithms. Monitors market trends, provide risk assessments, and suggests optimal entry/exit points across DEXs. Features MEV protection and slippage optimization.

3) Security Sentinel

State-of-the-art security agent that continuously monitors smart contract interactions, wallet activities, and network anomalies. Provides real-time threat detection and prevention recommendations.

4) DeFI Manager

An intelligent portfolio manager that optimizes yield farming strategies, manages liquidity positions and automates complex DeFi operations across multiple protocols.

5) Chain Fusion Navigator

Simplifies cross-chain operations by finding the most efficient bridging routes, monitoring gas fees, and ensuring secure asset transfers across different blockchain networks.

AI Agent Chat Interface

AI agent chat interfaces are designed to facilitate interactive communication between users and AI systems, enabling natural language processing and dynamic responses. Chat interfaces allow multiple users to interact with AI agents simultaneously, enabling team collaboration while maintaining context across different threads of conversation. AI agent chat interfaces function by capturing user inputs, processing them through NLP techniques, maintaining conversational context, and generating dynamic responses while providing a user-friendly interface that enhances interaction quality.

Canister Integration

Many AI agents in Web3 marketplaces leverage canisters to automate decision-making processes. Integrating with decentralized applications (dApps) allows these agents to autonomously trigger smart contract executions based on predefined conditions, such as market trends or user requirements. This capability allows for automated payments, asset transfers, and protocol upgrades.

AI Agent Creation Wizard

Helion AI agent's creation wizard features an intuitive interface that presents options in a step-by-step manner. This design helps users navigate through the customization process without feeling overwhelmed. For instance, the agent creation wizard allows users to build custom AI agents by selecting various options and bringing in data tailored to their preferences. Users might select an AI agent template, and then choose additional features. Each step is designed to simplify decision-making and ensure that users can easily customize their AI agents according to their needs.

Real-Time Visualization / Monitoring

Helion AI application provides real-time visual feedback for AI agents executed on the platform. This feature allows users to see how their AI agents affect their portfolios, enhancing engagement and satisfaction. For example, the AI agent usage dashboard enables users to explore and customize agents interactively, providing a visual representation of their configurations.

Implementation of AI Agent Framework with a Directed Acyclic Graph (DAG)

AI agents built with LangGraph leverage a structured, graph-based architecture (DAG) to facilitate complex workflows and interactions. This framework enables developers to create stateful, multi-actor applications that can handle dynamic tasks efficiently. LangGraph organizes tasks as nodes (representing actions or functions) and edges (representing transitions or conditions). This structure allows for clear visualization and management of the workflow. Agents built with LangGraph support real-time execution of tasks, enabling them to provide immediate feedback to users. LangGraph also facilitates the creation of multi-agent systems where different agents can collaborate or specialize in handling specific tasks. For example, a routing agent might direct queries to various specialized agents based on the nature of the request (e.g., weather inquiries vs. news updates). This modular approach allows for scalable solutions that can adapt to various user needs.

Collaboration

Collaboration Agent
Equation 1

Equation 2

Supervisor

Supervisor Agent

Equation 3

Hierarchical

Hierarchical Agent

Equation 4

Overall Architecture

Overall Architecture

Front-End Architecture

Front-End Architecture

Helion's Ecosystem

Users

This user interacts with the platform to leverage the capabilities of the AI agent marketplace. They are the primary beneficiaries of the Helion AI ecosystem offerings, which include the UI agent marketplace. This user interaction with the platform is governed by the use of Helion tokens, which drive the demand for Helion's services, thus contributing to the ecosystem's value. Users also contribute to the governance model by proposing improvements.

Creators

Creators are individuals or groups who design and build custom agents for the platform. Creators play a key role in expanding the Helion platform's capabilities and offerings. The Helion marketplace enables individuals and businesses to create autonomous agents; designers are encouraged to commercialize their designs, allowing them to earn revenue from their contributions. They will require HLN tokens to deploy their custom agents on the platform, fostering a vibrant and innovative decentralized intelligence environment.

Developers / Contributors

Developers in the Helion ecosystem serve as the project's technological backbone, contributing to platform development, maintenance, and enhancement. This includes core blockchain developers, machine learning experts, and other technical specialists who work on the underlying infrastructure that allows for on-chain operations, smooth integration of on-chain AI agents, and the overall functionality of the Helion platform. Their experience keeps the platform at the cutting edge of privacy, transparency, and efficiency in decentralized artificial intelligence.

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