TARS AI
  • ⬅️Background
    • 🤔What is TARS?
  • 🕸️AI Market
    • 🔮Overview
    • 🤖Permissionless Agents
    • 🔥Framework Comparison
    • 💻Off-Chain Integrations
    • ⛓️On-Chain Integrations
    • 💵Fees & Economics
  • 🤓Developer Material
    • 👽Bringing AI Agents to Life
  • 🌕SONA Framework
    • 🥥What is SONA?
    • ✨Features
    • 📚Getting Started
      • ⭐Quick Start
    • 🧠Core Concepts
      • 🤯Character File
      • 📘Knowledge Management
      • 🖥️Clients
      • 🏃‍♂️Runtime
      • 🔗Adapters
      • 🔑Secret Management
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  1. SONA Framework

Core Concepts

Overview:

SONA is a framework for creating AI agents that can interact across multiple DeFi platforms.

Features

  • Modular Design: Plugins and services allow for flexible customization.

  • Knowledge: Supports both RAG-based and direct knowledge processing.

  • Stateful Interactions: Maintains context across conversations.

  • Multi-Agent Support: Supports running multiple agents with distinct configurations.

  • Multi-Platform Support: Integrates with various DeFi protocols.

Eliza consists of these core components:

  • Agents (Runtime): AI personalities that interact with users and platforms

  • Actions: Executable behaviors that agents can perform in response to messages

  • Target: Platforms that agent perform on-chain actions.

  • Plugins: Modular extensions that add new features and capabilities

  • Providers: Services that supply contextual information to agents

  • Evaluators: Modules that analyze conversations and track agent goals

  • Character Files: JSON configurations that define agent personalities

  • Memory System: Database that stores and manages agent information using vector embeddings

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Last updated 1 month ago

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