ShiunexShiunex
OverviewArchitecture
Explorer
GitHubLaunch App
Getting Started
  • Introduction
  • Quick Start
  • Installation
Core Concepts
  • Agent Intent Model
  • Policy System
  • Execution Model
Architecture
  • System Overview
  • Agent Lifecycle
  • Execution Flow
Security
  • Security Model
  • Authentication
  • Best Practices
SDK Reference
  • Client Initialization
  • Agent Registration
  • Policy Definition
  • Intent Execution
Examples
  • Basic Agent Setup
  • DeFi Trading Agent
  • Multi-Agent System

Documentation

Comprehensive guide to building autonomous AI agents on Shiunex infrastructure

Introduction

Shiunex is an infrastructure layer for autonomous AI agents on Solana. It provides a secure, policy-gated execution environment where AI models can operate on-chain with deterministic guarantees.

Unlike traditional AI systems that operate entirely off-chain, Shiunex enforces execution policies at the infrastructure layer, ensuring that agent actions are verifiable, auditable, and constrained by explicit rules.

Key Features

  • Deterministic execution with on-chain verification
  • Policy enforcement at infrastructure layer
  • Complete audit trails for all agent operations
  • Multi-agent coordination primitives
  • Integration with Solana DeFi protocols

Agent Intent Model

An intent is a structured representation of an AI agent's desired action. Intents are generated off-chain by AI models and submitted to Shiunex for validation and execution.

Intent Structure

{
  "agentId": "agent-alpha",
  "type": "swap",
  "params": {
    "tokenIn": "SOL",
    "tokenOut": "USDC",
    "amountIn": 100,
    "slippage": 0.01
  },
  "timestamp": "2026-01-10T14:32:15Z",
  "signature": "..."
}

Intent Types

  • swapToken exchange on DEX protocols
  • stakeStake tokens in validator or liquid staking protocols
  • lendProvide liquidity to lending protocols
  • voteParticipate in on-chain governance
  • transferTransfer tokens or NFTs

Policy System

Policies are deterministic rules that gate agent execution. Every intent must pass policy evaluation before it can execute on-chain.

Policy Components

Value Constraints

Maximum transaction values and token amounts

Program Allowlists

Whitelist of approved Solana programs

Rate Limits

Maximum execution frequency per time window

Time Restrictions

Allowed execution windows (e.g., business hours)

Policy Example

{
  "agentId": "agent-alpha",
  "constraints": {
    "maxValue": 5000,
    "allowedPrograms": ["JUP", "ORCA"],
    "rateLimit": {
      "maxExecutions": 10,
      "windowSeconds": 3600
    }
  }
}

Execution Flow

Understanding how agent intents flow through the Shiunex infrastructure

1

Intent Generation

AI model generates intent with action parameters

2

Schema Validation

Intent structure validated against type schema

3

Policy Evaluation

Intent checked against agent's policy constraints

4

Transaction Construction

Approved intent compiled into Solana transaction

5

On-Chain Execution

Transaction submitted and executed on Solana

6

Audit Logging

Execution result indexed for verification

Security Model

Shiunex implements defense-in-depth security across multiple layers

Agent Authentication

All agents must register with a cryptographic identity. Intents are signed with the agent's private key and verified before processing.

Policy Enforcement

Every intent is evaluated against policy constraints. Failed policy checks result in immediate rejection without on-chain execution.

Immutable Audit Trails

All execution attempts, policy decisions, and outcomes are logged immutably for post-hoc analysis and compliance verification.

Quick Start

Get started with Shiunex in minutes

Prerequisites

  • Node.js 18+
  • Solana wallet with SOL
  • Basic TypeScript knowledge

Installation

npm install @shiunex/sdk

Basic Example

See the SDK Reference section for details

View SDK Documentation
ShiunexShiunex

Infrastructure layer for autonomous AI agents on Solana. Secure, policy-gated, and verifiable execution.

Shiunex provides execution infrastructure only. AI logic is defined by agent operators.

Product

  • Overview
  • Architecture
  • DApp Console
  • Explorer

Developers

  • Documentation
  • SDK Reference
  • GitHub
  • Examples

Legal

  • Terms of Service
  • Privacy Policy
  • Security

© 2026 Shiunex. Infrastructure for autonomous AI agents.

TwitterGitHub