Ringkasan
Unibase is the first high-performance decentralized AI memory layer, providing AI agents with long-term memory and cross-platform interoperability to support autonomous learning, evolution, and collaboration. It aims to build the “Open Agent Internet,” a modular, verifiable, and composable ecosystem for on-chain AI agents.

Purpose
Unibase addresses key challenges in AI agent development, including the lack of long-term memory, limited cross-platform interoperability, and data sovereignty issues in centralized systems, enhancing trust, personalization, and collaboration in AI-driven services.

Key Features
– Membase Module: Secure, scalable long-term memory for AI agents.
– AIP Protocol: Web3-native interoperability protocol enabling cross-platform agent communication and knowledge sharing.
– Unibase DA: High-performance data availability layer for low-latency, high-throughput real-time data storage and retrieval.
– Integration with ecosystem projects like BitAgent, TwinX, TradingFlow, and frameworks such as MCP, ElizaOS, Virtuals, and Swarms.
– Over 1,000 agent interactions recorded via the Unibase SDK.

Arsitektur Teknis
Core components include Membase (decentralized memory layer), AIP Protocol (agent interoperability), and Unibase DA (data availability layer), all designed for EVM chains to support AI agent functionality.

Target Audience
Primarily aimed at AI agent developers, decentralized application (dApp) builders, and DeFi strategy organizations.