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
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  1. Agent Framework

Agent Lifecycle

Synari supports the full lifecycle of intelligent agents:

  1. Deploy Launch agents through UI or API with configured traits and memory state.

  2. Coordinate Agents join the MCP mesh, communicate with others, discover services, and negotiate outcomes.

  3. Evolve Agents mutate over time based on experience, performance, or feedback loops — including recursive upgrades or sub-agent spawning.

  4. Retire / Terminate Agents can be terminated voluntarily or via protocol constraints (time, error rate, governance action), with final memory state sealed for audit.

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Last updated 17 days ago