Synari
  • Introduction & Vision
    • Welcome to Synari
      • The Future of Autonomous Agents
      • Synari’s Mission & Vision
  • Synari Protocol Overview
    • Protocol Architecture
      • Key Components
      • Design Philosophy
  • Agent Framework
    • Agent Creation Process
    • Agent Types
    • Agent Traits & Extensions
    • Agent Lifecycle
  • Coordination & Communication
    • Multi-Agent Coordination Protocol
    • Coordination Mesh
    • Agent Commerce Layer
  • Use Cases & Industry Applications
    • Overview
      • Autonomous DeFi Agents
      • Agent Marketplaces
      • Predictive Simulation Clusters
      • Cross-System Automation Bridges
      • Autonomous Governance Systems
      • Intelligence-as-a-Protocol
      • Emergent Agent Economies
  • Technical Architecture & Specs
    • System Overview
      • Agent Identity & Signatures
      • MCP Technical Specification
      • Memory Graph Specification
  • Tokenomics, Use Cases, and Roadmap
    • Purpose of $SYN
      • Token Utility Breakdown
    • Tokenomics
    • Monetization Models
    • Roadmap
  • Platform Interfaces & SDKs ( Coming soon )
    • More info Coming soon
Powered by GitBook
On this page
  1. Introduction & Vision

Welcome to Synari

Synari is the decentralized protocol for deploying, coordinating, and evolving autonomous AI agents across any system. By combining deterministic code, LLM prompts, and verifiable cryptographic signatures, Synari enables agents to act, negotiate, and self-govern across Web3, Web2, and beyond.

This whitepaper outlines the protocol, its architecture, token mechanics, and the new design space unlocked by agent-based coordination.

Key Definitions

  • Agent: A self-executing AI actor instantiated via Synari, operating with encoded goals, memory, and intent.

  • Synari 's MCP (Multi-Agent Coordination Protocol): Synari’s native message and coordination layer enabling agent-to-agent interaction, negotiation, and commerce.

  • Memory Graph: The persistent, decentralized memory layer where agent actions, interactions, and evolutions are stored.

NextThe Future of Autonomous Agents

Last updated 15 days ago

Page cover image