{"id":"unibase","title":"Unibase","content":"**Unibase** is a decentralized artificial intelligence (AI) infrastructure project designed to provide memory, identity, and interoperability layers for autonomous agents. It enables AI systems to store data persistently, communicate securely across different platforms, and operate within verifiable on-chain environments. [\\[1\\]](#cite-id-wef8kgzkJM)\n\n# Overview\n\nUnibase is a decentralized AI memory layer designed to provide [AI agents](https://iq.wiki/wiki/ai-agents) with long-term memory and the ability to operate across multiple platforms. The project's stated goal is to lay the foundation for an \"Open Agent Internet,\" a modular, composable on-chain ecosystem where agents can interact, share knowledge, and operate autonomously.\n\nUnibase aims to address key challenges in AI development, including the lack of persistent memory, limited interoperability between systems, and issues related to data sovereignty, by providing an infrastructure that supports verifiable and transparent on-chain agent operations.\n\nThe infrastructure is built on three core components: Membase, a decentralized memory and identity system; the Agent Interoperability Protocol (AIP), a communication framework for agents; and Unibase DA, a high-performance data availability layer. The project is live on the BNB Chain [testnet](https://iq.wiki/wiki/testnet) and provides Software Development Kits (SDKs) and documentation for developers. It has also established integrations with AI frameworks such as the Multi-Agent Communication Protocol (MCP), [ElizaOS](https://iq.wiki/wiki/eliza-ai), [Virtuals](https://iq.wiki/wiki/virtuals-protocol), and [Swarms](https://iq.wiki/wiki/swarms). [\\[2\\]](#cite-id-iCTN9zmEHF) [\\[3\\]](#cite-id-n4aIICXaRg)\n\n# Architecture\n\n![](https://ipfs.everipedia.org/ipfs/QmYcvUVN5yoSLZsghkDj5d5R8pq9w2dZJcPNH1y7bwTDkF)\n\nUnibase’s architecture is structured in four distinct layers to support modularity, scalability, and decentralization. Each layer performs specific functions that create a comprehensive framework for interoperable and persistent agent operations. [\\[9\\]](#cite-id-7C4sv69rCX)\n\n* **Application Layer:** This is the top, user-facing layer consisting of various [AI agents](https://iq.wiki/wiki/ai-agents) designed for specific tasks. Examples include trader agents, personal assistants, and gaming agents that interact directly with users or other applications.\n* **Middleware Layer:** This layer acts as a bridge between the application and core layers, managing agent configurations, memory, and shared knowledge. It contains three main hubs: the Config Hub, which manages settings and permissions; the Memory Hub, which allows agents to retain context and data across interactions; and the Knowledge Base, a shared repository where agents can access and contribute to a collective intelligence pool.\n* **Core Layer:** This layer contains the fundamental protocols that govern agent communication, data storage, and identity. Its components include the Agent Interoperability Protocol (AIP) for communication, Membase for decentralized identity and memory, and Unibase DA for data integrity and availability.\n* **Infrastructure Layer:** This foundational layer provides the underlying technologies that support the entire network. It includes a [blockchain](https://iq.wiki/wiki/blockchain) for securing transactions and verifying agent identities, distributed storage systems for scalable data retrieval, and Large Language Model (LLM) [APIs](https://iq.wiki/wiki/apis) to integrate advanced AI capabilities. [\\[9\\]](#cite-id-7C4sv69rCX)\n\n# Core Components\n\nUnibase's infrastructure is composed of three primary technological pillars that work in conjunction to enable autonomous [AI agents](https://iq.wiki/wiki/ai-agents). [\\[1\\]](#cite-id-wef8kgzkJM)\n\n![](https://ipfs.everipedia.org/ipfs/QmfSzMdfTxRSTNKnemcBargQmkxxKzmNopYf3m5cLw7bvW)\n\n## Membase\n\nMembase is the decentralized identity and memory layer of the Unibase ecosystem. It is responsible for managing agent registration, configuration, and persistent memory storage, providing a foundation for secure and verifiable agent operations by combining [blockchain](https://iq.wiki/wiki/blockchain)-based identity with decentralized data availability.\n\nAt its core is the Agent Hub, which coordinates the full lifecycle and interactions of [agents](https://iq.wiki/wiki/ai-agents) through three sub-modules:\n\n* **Link Hub:** Facilitates remote interaction services, allowing agents to connect with external services or other [agents](https://iq.wiki/wiki/ai-agents).\n* **Config Hub:** Manages agent configurations, including identity, permissions, and operational parameters, while supporting agent discovery.\n* **Memory Hub:** Stores persistent data, such as conversation history and interaction records, to ensure data continuity across sessions.\n\nMembase operates on a synchronized, six-step workflow: an agent first registers its identity on the [blockchain](https://iq.wiki/wiki/blockchain), which is then synchronized by the Agent Hub. The agent connects via the Link Hub for remote interactions, manages its settings through the Config Hub, and uploads generated data to the Memory Hub. Finally, this data is synchronized to the Unibase DA layer for decentralized, persistent storage. [\\[10\\]](#cite-id-zyb2q9cA6u)\n\n## Agent Interoperability Protocol (AIP)\n\nThe Agent Interoperability Protocol (AIP) is Unibase’s decentralized communication framework, described by the project as a [Web3](https://iq.wiki/wiki/web3)-native multi-agent communication standard. It defines standardized formats and workflows for [AI agents](https://iq.wiki/wiki/ai-agents) to identify, interact, and collaborate across different platforms without relying on centralized intermediaries.\n\nKey features of AIP include on-chain identity verification, where each agent possesses a verifiable [blockchain](https://iq.wiki/wiki/blockchain) identity with programmable permissions for controlled access. It also incorporates decentralized authorization using cryptographic signatures and multi-layered trust mechanisms, such as [Zero-Knowledge Proofs (ZKPs)](https://iq.wiki/wiki/zero-knowledge-proofs-zkps), to ensure privacy and authenticity. The protocol is designed for compatibility with existing standards like MCP and gRPC. By integrating with Membase and Unibase DA, AIP unifies communication, identity, and storage, allowing [agents](https://iq.wiki/wiki/ai-agents) to operate autonomously across ecosystems while maintaining persistent memory. [\\[8\\]](#cite-id-dSB24u36j9) [\\[11\\]](#cite-id-0OH46wj61T)\n\n## Unibase DA\n\nUnibase DA is the decentralized data availability and storage layer that underpins the Unibase infrastructure, designed to deliver verifiable, scalable, and low-latency data access for AI applications. It enables persistent storage for [agents](https://iq.wiki/wiki/ai-agents) while maintaining transparency and security through on-chain validation. The system uses erasure coding to distribute data across multiple nodes, ensuring durability and censorship resistance.\n\nThe layer uses ZK-based on-chain verification for all data interactions, enabling secure, and auditable operations. It features an \"Honest One\" security model via a built-in fraud-proof mechanism that does not rely on honest majority assumptions. Technical specifications indicate a data throughput of up to 100 GB/s and sub-100ms access latency. Its modular architecture includes parallel data lanes to support large-scale AI workloads and Exabyte-scale storage. The system settles on [Ethereum](https://iq.wiki/wiki/ethereum) and supports Data Availability Sampling (DAS). This architecture is part of the project's \"DA++\" concept, which aims to create a comprehensive on-chain DA solution from both a technical and economic perspective. [\\[5\\]](#cite-id-OhGUnAvnBm) [\\[12\\]](#cite-id-hTy41MP6Ox)\n\n# Ecosystem\n\n## BitAgent\n\nBitAgent is a decentralized multi-agent collaboration platform built on the Unibase infrastructure. It allows users and organizations to deploy autonomous [AI agents](https://iq.wiki/wiki/ai-agents) that feature persistent memory, verifiable on-chain identities, and cross-platform interaction capabilities. Agents on the BitAgent platform use Unibase's Membase for long-term memory and the AIP protocol for communication and collaboration [across](https://iq.wiki/wiki/across) various platforms, including social media, exchanges, and [decentralized autonomous organizations (DAOs)](https://iq.wiki/wiki/dao). The platform also integrates token-based incentives and governance mechanisms to encourage ecosystem participation. [\\[13\\]](#cite-id-2aAusoDoQl)\n\n# UB\n\nThe UB token functions as the [utility](https://iq.wiki/wiki/utility-token) and [governance](https://iq.wiki/wiki/governance-tokens) asset within the Unibase ecosystem, supporting its decentralized AI infrastructure. It facilitates protocol-level operations, network participation, and incentive mechanisms for users and developers. UB is used to pay fees for memory storage, agent deployment, and interoperability services. Holders can also stake tokens to activate or promote agents, participate in governance through veUB voting, and earn rewards for contributing useful prompts, data, or reusable knowledge to the system. [\\[3\\]](#cite-id-n4aIICXaRg)\n\n## Tokenomics\n\n![](https://ipfs.everipedia.org/ipfs/QmUNDWFQMYH9pNadHA7j9fMGRXWZcPigZab8u8q7YDgmL3)\n\nThe total supply of UB is 10,000,000,000 tokens, distributed according to the following allocation model: [\\[3\\]](#cite-id-n4aIICXaRg)\n\n* **Community:** 40%\n* **Team & Advisors:** 18%\n* **Treasury:** 15%\n* **Ecosystem:** 10%\n* **Marketing:** 10%\n* **Liquidity:** 5%\n* **Binance Alpha:** 2%\n\n# Partnerships\n\n* [IoTeX](https://iq.wiki/wiki/iotex)\n* edgeX\n* ARAI\n* [KuCoin](https://iq.wiki/wiki/kucoin)\n* [Revox](https://iq.wiki/wiki/revox)","summary":"Unibase's decentralized AI infrastructure provides autonomous agents with on-chain memory, identity, and interoperability, enabling them to store data, communic...","images":[{"id":"QmTWv5mq3upLfdVjkEgqRqWbUPq59kobTsPNoJ1QSHdXdM","type":"image/jpeg, 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