Unibase is the first high-performance decentralized AI memory layer. It equips AI agents with long-term memory and cross-platform interoperability, enabling them to learn, evolve, and collaborate autonomously.
Unibase is building the foundation for the Open Agent Internet — a modular, verifiable, and composable AI agent ecosystem onchain.
- ✅ Testnet Live on BNBChain Testnet
- ✅ SDKs, Docs, and Explorer fully released
- ✅ Integrated with MCP, ElizaOS, Virtuals, and Swarms
- ✅ 1,000+ agent interactions recorded via Unibase SDK
- ✅ BitAgent, TradingFlow, TwinX, Beeper online
- 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.
- Membase: Decentralized memory layer, providing secure, scalable long-term memory for AI agents.
- AIP Protocol: Web3-native agent interoperability protocol, enabling agents to communicate and share knowledge across platforms.
- Unibase DA — High-performance data availability layer that enables secure, real-time data retrieval and storage with low latency and high throughput.
- 🤖 BitAgent — Multi-agent platform for agent deployment, coordination, and DAO-based governance
- ✨ TwinX — Self-evolving agent builder from social media content
- 📈 TradingFlow — AI-native agent system for autonomous DeFi strategies
- 🧠 Integrated with frameworks: MCP, ElizaOS, Virtuals, Swarms
Unibase solves the missing memory and interoperability layer for decentralized AI. By enabling verifiable, composable, and persistent agent infrastructure onchain, Unibase turns any EVM chain into AI-native — laying the groundwork for a future where autonomous agents operate across ecosystems, with full transparency and evolution.