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ReproveSPL Documentation

Comprehensive guide to building and deploying AI agents on Solana

Overview

ReproveSPL is a framework for creating and deploying autonomous AI agents on the Solana blockchain. It leverages state compression for efficient on-chain storage and provides a secure runtime environment for AI-powered decision making.

AI-Powered Agents

Deploy intelligent agents that can autonomously interact with Solana's ecosystem

Secure Runtime

Sandboxed execution environment with configurable permissions

State Compression

Efficient on-chain storage using Solana's state compression

Developer Tools

Comprehensive SDK and CLI tools for agent development

Getting Started

View on Github

Check out our GitHub repository for detailed installation instructions, quick start guides, and comprehensive examples to help you get started with ReproveSPL.

Core Concepts

Agent Architecture

ReproveSPL agents are autonomous programs that run in a secure sandbox environment on Solana. Each agent consists of:

  • Executable bytecode (agent logic)
  • State storage (compressed on-chain)
  • Configuration parameters
  • Permission settings

State Compression

ReproveSPL uses Solana's state compression to efficiently store agent data on-chain:

  • Up to 10,000x reduction in storage costs
  • Concurrent merkle trees for efficient updates
  • Verifiable state transitions
  • Optimized for frequent updates

Code Examples

Creating an Agent

typescript
import { Connection, Keypair } from '@solana/web3.js';
import { AgentSPL, AgentConfig } from '@agentspl/sdk';

async function createAgent() {
  const connection = new Connection('https://api.devnet.solana.com');
  const wallet = Keypair.generate();

  const config: AgentConfig = {
    name: "Trading Agent",
    capabilities: ["READ_STATE", "EXECUTE_TX"],
    memory: 1024 * 1024, // 1MB
    maxCycles: 1000000,
  };

  const agent = await AgentSPL.create(
    connection,
    wallet,
    config
  );

  return agent;
}

State Management

typescript
import { StateManager } from '@agentspl/sdk';

// Define agent state interface
interface AgentState {
  balance: number;
  lastUpdate: number;
  strategy: {
    minProfit: number;
    maxSlippage: number;
  };
}

// Initialize state manager
const stateManager = new StateManager<AgentState>({
  merkleDepth: 14,
  maxBufferSize: 64,
  canopyDepth: 11
});

// Update state
await stateManager.update({
  balance: 100,
  lastUpdate: Date.now(),
  strategy: {
    minProfit: 0.02,
    maxSlippage: 0.01
  }
});

Agent Execution

typescript
import { ExecutionContext } from '@agentspl/sdk';

// Create execution context
const context = new ExecutionContext({
  agent,
  stateManager,
  connection
});

// Start agent execution
await context.start();

// Execute specific strategy
await context.execute('arbitrage', {
  markets: ['raydium', 'orca'],
  tokenPair: ['SOL', 'USDC']
});

// Monitor agent status
context.on('status', (status) => {
  console.log('Agent status:', status);
});