Unibase Docs
  • Introduction
    • Architecture
    • Core Components
    • Quick Start
  • Membase
    • Architecture
    • Identity
    • Authorization
    • Quick Start
      • Multi Memory
  • AIP (Agent Interoperability Protocol)
    • Design
    • Agent Interaction Process
      • Agent-Agent
      • Agent Collaboration
    • Implementation
    • Quick Start
      • Tool
      • Agent
        • Agent-Tool Interaction Via gRPC
        • Agent-Tool Interaction Via SSE
        • Agent-Agent Interaction
      • Chess game
  • Unibase DA
    • Intro
    • Architecture
    • Components
      • Unibase DA
      • Unibase Storage
      • Unibase Chain
    • Alpha Testing
      • Testing plan
      • Requirements
      • Chains
    • Quick Start
      • Nodes boostrap
        • Storage Node
        • Validator Node
        • Stream Node
        • Docker
      • Nodes operations
    • Developers
      • Hub
      • SDK
      • API Reference
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On this page
  • 1. What is Unibase?
  • 2. Problems Solved
  • 3. Key Features
  • 4. Core Components
  • 5. Use Cases

Introduction

1. What is Unibase?

Unibase is the first high-performance decentralized AI memory layer, providing secure and scalable long-term memory storage that empowers AI agents with sovereignty, interoperability, and self-evolution capabilities.

Let’s build the open agent internet together.

2. Problems Solved

  • No Long-Term Memory - Traditional AI agents fail to retain continuous, long-term context, limiting their ability to learn and personalize interactions.

  • Lack of Interoperability - AI agents are isolated within specific ecosystems, making knowledge sharing and collaboration across platforms difficult.

  • Data Sovereignty Issues - Centralized data systems risk privacy and transparency for users, limiting trust in AI-driven services.

3. Key Features

  • On-Chain Identity: A secure and verifiable identity for AI agents, ensuring trust and transparency.

  • Decentralized Memory: Scalable long-term memory storage that enables continuous learning and adaptation.

  • Multi-Agent Interoperability: Facilitates seamless collaboration and knowledge sharing among agents across different platforms.

  • Continuous Self-Evolution: Agents autonomously evolve by leveraging shared knowledge, improving their intelligence and performance over time.

4. Core Components

  • AIP Protocol: Web3-native agent interoperability protocol, enabling agents to communicate and share knowledge across platforms.

  • Membase: Decentralized memory layer, providing secure, scalable long-term memory for AI agents.

  • Unibase DA: High-performance data availability layer that supports fast, secure data retrieval and storage with low latency and high throughput.

5. Use Cases

Built on Membase, AIP, and DA, Unibase supports diverse use cases:

  • Personalized DeFi Assistants: AI agents capable of learning and adapting to users’ preferences, offering intelligent DeFi investment strategies.

  • Multi-Agent Collaboration: Agents working together to perform cross-platform tasks such as decentralized analytics and cross-chain DeFi trading.

  • Knowledge Mining & Sharing: Users can contribute expertise to a decentralized knowledge base, earning rewards while enhancing agent intelligence.

Unibase is the first decentralized AI infrastructure that empowers agents with long-term memory, secure identities, and cross-platform collaboration, enabling a self-evolving ecosystem. We are building an open agent internet.

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Last updated 5 hours ago