BlockchAIn is a platform that combines AI agents with blockchain technology, allowing users to create and interact with customised swarms of AI agents. Each agent has specific capabilities and expertise in different aspects of blockchain and cryptocurrency operations.It also enables and make wallets secure and persistent

BlockchAIn - AI Agent Platform for Web3

Overview

BlockchAIn helps users create and manage groups (swarms) of AI agents that can interact with blockchain networks. Each agent can perform specific tasks related to cryptocurrency and blockchain operations, making it easier for users to manage their digital assets and participate in Web3 activities.

Technical Infrastructure

Smart Contracts

• Written in Solidity and deployed on Base network
• Handles agent interactions and permissions
• Manages swarm creation and coordination

Agent System

• Built using CDP AgentKit Python SDK
• OpenAPI wrapper integration for enhanced capabilities
• Web3 toolkit integration for blockchain interactions
• Specialized capabilities for different financial and analytical tasks

Secure Storage (Nillion)

• Integrated Nillion Secure Vault for agent wallet management
• Ensures persistent agent memory and context
• Secure storage of agent funds and data
• Prevents loss of agent state during long periods of inactivity

Core Features

Agent Types

1. Personal Accountant

   • Asset balance monitoring
   • Fund transfer management
   • Wallet management
   • NFT tracking

2. Financial Advisor

   • Balance analysis
   • Trade suggestions
   • Price data monitoring
   • Yield opportunity identification

3. Risk Manager

   • Position monitoring
   • Price tracking
   • Risk assessment
   • Emergency response

4. Research Agent

   • Market data analysis
   • News aggregation
   • Pattern detection
   • Sentiment analysis

5. Governance Agent

   • DAO proposal analysis
   • Voting power calculations
   • Strategy coordination

Swarm System

• Create customized groups of agents
• Combine different agent capabilities
• Visual interface for agent selection
• Real-time swarm preview

Communication Interface

• Chat with individual or multiple agents
• Direct messaging system
• Context-aware responses
• Visual agent representation

Implementation

Frontend

• Built with Next.js and TypeScript
• Interactive animations with Framer Motion

Applications

1. Asset Management
2. Market Analysis
3. Risk Assessment
4. DAO Participation
5. Investment Strategy Development

Development Roadmap

1. Expand agent capabilities
2. Add more interaction features
3. Improve analytics tools
4. Integrate additional protocols
5. Enhance user experience