What is Unibase? It supports the dual cutting-edge protocols ERC-8004 and x402, aiming to create the AI brain of Web3.

The wave of artificial intelligence is reshaping the digital world at an unprecedented speed, but a core limitation of AI agents lies in their fleeting “memory” and the island-like state of independent operation. The birth of the Unibase project is aimed at addressing this fundamental challenge. As an innovative decentralized AI memory layer, Unibase aims to provide AI agents with persistent long-term memory and cross-platform interoperability, thus establishing an open and interconnected AI agent internet. By integrating the decentralized advantages of Blockchain with the limitless potential of artificial intelligence, Unibase is attempting to endow AI with true memory, collaboration, and self-evolution capabilities, opening a new chapter for AI applications in the Web3 era.

What is Unibase? It is a high-performance decentralized AI memory layer protocol built on the BNB Chain, designed to provide long-term, trusted, and composable memory storage capabilities for Autonomous Agents. As the first infrastructure project on the BNB Chain to support both ERC-8004 and x402 dual protocols, Unibase constructs a complete technical closed loop of “AI Agent × On-chain Trust Layer × Memory Layer” through its unique “Membase Memory Storage” and “AIP Interoperability Protocol.” The AI Agent Launchpad launched in collaboration with BitAgent has already demonstrated strong ecological potential on the BNB Chain and is expected to become key infrastructure in the BNB ecosystem similar to the Virtuals Protocol.

01 In-Depth Project Analysis

Technical Architecture Design

The technical architecture of Unibase is based on three core modules: Membase (memory storage), AIP Protocol (agent interoperability protocol), and Unibase DA (data availability layer). Membase, as a decentralized AI memory layer, utilizes zk-SNARK technology to ensure data verifiability and privacy protection, supporting the persistent storage of both structured and unstructured data, addressing the core pain point of traditional AI systems being “stateless”. AIP Protocol defines the standards for communication and behavior across agents, compatible with MCP and gRPC protocols, enabling seamless collaboration between different AI systems. Unibase DA is built on the OP Stack, providing over 100GB/s of throughput, ensuring real-time access to massive memory data and high availability. This three-layer architecture offers AI Agents a complete technology stack from data storage to collaborative computing.

Solution Features

Unibase mainly addresses the common issues of memory loss, data islands, and lack of interoperability in the AI ecosystem. Traditional AI systems lose contextual data after each session, leading to agents being unable to accumulate experience and evolve knowledge. Unibase provides a memory foundation for continuous learning through decentralized storage and standardized protocols. Its uniqueness lies in combining the verifiability of Blockchain with the intelligent capabilities of AI, offering on-chain identity and reputation systems for each Agent through the ERC-8004 standard, while utilizing the x402 protocol to achieve gas-free on-chain payments. This design enables AI Agents to form continuously evolving digital personas, laying the foundation for a truly autonomous AI economy.

Application Scenario Expansion

The core application scenarios of Unibase cover multiple cutting-edge fields such as multi-agent collaboration, digital twin creation, and autonomous trading systems. Through the BitAgent platform, developers can create AI Agents with memory capabilities and unlock advanced features by staking UB tokens, forming a virtuous economic cycle. The TwinX tool allows users to create “digital twins” from social media data, enabling the automated continuation of personal style and content creation. The TradingFlow bot utilizes natural language to generate trading strategies and optimizes the decision-making process through memory storage. As the ecosystem develops, Unibase may also expand into broader fields such as education, healthcare, and customer service, providing a unified memory and collaboration foundation for various AI applications.

02 Team and Financing

Investment Background Analysis

Although the specific financing details have not been fully disclosed, Unibase has received continuous technical support from the BNB Chain authorities, particularly in the integration of the x402 protocol, which has gained ecological recognition. The project has established a deep strategic partnership with BitAgent to jointly launch the AI Agent Launchpad, which provides the project with real application scenarios and a user base through this ecological binding. As the first project on the BNB Chain to support the ERC-8004 protocol, Unibase has garnered wide attention from the developer community for its technological foresight, and the successful launch of the U402 token on the BitAgent platform further validates the feasibility of its business model. The ecological cooperation model replacing traditional financing has become increasingly common in early Blockchain projects, but subsequent progress in institutional financing still requires close attention.

Team Professional Composition

From the perspective of the project's technical implementation and protocol integration capabilities, the Unibase team should have a comprehensive technical background in deep learning, Blockchain development, and distributed systems. The successful integration of the two cutting-edge protocols, ERC-8004 and x402, indicates the team's deep understanding of the intersection between AI and Blockchain, and their ability to grasp technological development trends. The timely launch of the mainnet and continuous product iterations demonstrate strong execution capabilities. However, there is still room for improvement in the transparency of team information, especially in sensitive areas involving data processing and agent governance, as higher transparency would help build broader community trust. As the project develops, further disclosure of the team's background will be an important point of observation.

03 Token Economy

Total Supply and Distribution Mechanism

The total supply of UB tokens is 10 billion, but the specific allocation ratio and release mechanism have not been fully disclosed. A reasonable token economic model should fully consider multiple dimensions such as protocol governance, ecological incentives, team development, and community building. For infrastructure projects like AI memory layers, a larger proportion should be applied to ecological incentives and developer rewards to promote widespread adoption of the network and data contribution. The team and early contributors need to design appropriate lock-up periods and release rhythms to ensure that interests align with long-term development. The transparency of the token distribution plan is crucial for building community trust, especially in sensitive areas involving governance rights and profit distribution.

Initial Circulation and Release Plan

The project completed the TGE (Token Generation Event) for the UB token in September 2025, but the specific initial circulation ratio and release timetable have not yet been clarified. A reasonable token release curve should balance early liquidity and long-term value stability, avoiding excessive pressure on prices due to short-term concentrated releases. The release of ecological incentives should be linked to network usage and data contributions, forming a positive value creation cycle. In particular, for mechanisms such as staking rewards and knowledge mining, reasonable inflation control models need to be designed to ensure the sustainability of token supply. Investors should closely monitor official channels for detailed information disclosure.

Core Functions and Value Accumulation

Protocol Usage Fee

One of the core functions of the UB token is to pay for various protocol usage fees on the Unibase network. Developers need to consume UB tokens as network transaction fees when deploying intelligent agents, storing memory data, or invoking AIP protocols. A portion of these fees may be burned or included in the ecological fund, forming a deflationary mechanism for the token. As the number of AI Agents increases and the frequency of interactions rises, protocol usage fees will become an important support for the token's value. If the network can reach a scale of tens of thousands of active Agents per month, based on an average monthly consumption of 10-50 USD equivalent tokens per Agent, the annual consumption could reach the level of tens of millions of USD, providing substantial support for the token price.

Governance Staking and Network Security

The UB token adopts the ve(3,3) model for governance and staking incentives. Users can lock their tokens to obtain veUB and participate in decision-making votes regarding protocol parameter adjustments, reward distribution, and ecological fund management. The staking mechanism not only provides additional utility scenarios for the tokens but also helps reduce the circulating supply and alleviate selling pressure. A reasonable annualized staking yield set within the range of 8%-18% can effectively incentivize long-term holding while avoiding excessive inflation that could damage the token's value. As the scale of network-managed assets expands, the value of governance rights will significantly increase, especially in key decisions involving data pricing and resource allocation, where the premium effect of governance tokens will become more pronounced.

Knowledge Mining and Ecological Incentives

Users can earn UB token rewards by contributing reusable knowledge, prompts, or memory data. This “knowledge mining” mechanism enriches the platform's memory bank while creating a distributed channel for token acquisition. Ecological incentives also include activating and promoting agents through staking UB tokens, with rewards linked to the activity and contribution value of the agents. This design promotes a positive cycle for the network: more contributions lead to richer memory data, enhancing network value and attracting more users to participate. If the platform can form valuable memory data at the level of several PB, the annual incentive budget could reach hundreds of millions of tokens, creating a stable demand base.

04 Market Performance

Current Status of Community Development

Unibase has gained a strong initial user base through official support from the BNB Chain and collaboration with BitAgent. As the first project on the BNB Chain to support the ERC-8004 and x402 protocols, Unibase has established a unique influence positioning within the technical community. The successful launch and strong market performance of the U402 token on the BitAgent platform have further enhanced the project's market attention. The project has been incorporated into the BNB Chain's dApp ecosystem, enjoying exposure and promotional resources from official channels. However, specific data on community scale and user activity metrics have not been fully disclosed, necessitating attention to the decentralization of holding addresses and the quality of community participation to avoid over-reliance on technical narratives while neglecting actual adoption.

Price Influencing Factors

The price of UB tokens is influenced by multiple factors: First, the actual adoption rate of the network, especially the number of active Agents and the scale of data storage; second, the degree of perfection of the token economic model and the effectiveness of the deflationary mechanism; third, the overall development status of the AI + Blockchain track and the market competition landscape. Due to the project being in a relatively early stage, the token price may exhibit high volatility, especially with the release of new features and supply-demand changes brought by ecological cooperation. Investors should focus on fundamental indicators such as the monthly active Agent count, memory storage volume, and protocol revenue. If the network can achieve a month-on-month growth in adoption rate of 20%-30%, the token value is expected to gain sustained support.

05 Competitive Advantage

Technical Performance Indicators

The main technical advantages of Unibase lie in its full-stack technology architecture and protocol-first strategy. Compared to single storage or computing projects, Unibase provides a complete solution from data storage, collaborative computing to economic incentives. In terms of performance, the 100GB/s throughput claimed by Unibase's DA layer and the zk-SNARK verification mechanism provide data processing capabilities for enterprise-level applications. If the platform can maintain 99.9% service availability and sub-second data retrieval speeds, it will significantly outperform many existing decentralized storage solutions. In addition, the proactive support for the two cutting-edge protocols ERC-8004 and x402 constitutes an important technical barrier, requiring deep technical accumulation and ecological relationships.

Ecological Cooperation Progress

Unibase has established a deep BNB ecosystem partnership, including a joint Launchpad with BitAgent, official technical support from BNB Chain, and protocol integrations with multiple AI projects. These collaborations not only provide user traffic and technical support but, more importantly, create real application scenarios and sources of revenue. The partnership with BitAgent is particularly crucial, as it validates the feasibility of the business model through the joint issuance of ecological tokens like U402. With the popularization of the ERC-8004 standard and the rise of the AI Agent economy, Unibase is expected to become the preferred memory layer solution for more AI applications, forming a strong network effect.

06 Risks and Challenges

Technical Implementation Risks

The main technical risks facing Unibase include the reliability of data storage, the efficiency of zk proofs, and the scalability of the system. The persistence and consistency of memory storage directly affect the core value of the product, and any data loss or corruption could undermine user trust. The generation efficiency and resource consumption of zk-SNARK proofs are also significant challenges in practical applications, especially when handling large-scale memory data. System scalability needs to address the exponential increase in data resulting from the growth in the number of AI Agents, maintaining stable service performance and response times. The project needs to ensure reliable operation of the system in a production environment through thorough testing and security audits.

Market Competition Pressure

The decentralized AI infrastructure track is attracting more and more participants, with traditional cloud storage projects expanding into the AI field and emerging specialized protocols competing for market share. Unibase needs to compete directly with these projects in terms of performance, cost, and user experience. Especially in the early stages, when network effects have not yet fully formed, any technical defects or service interruptions could lead to user loss. The project needs to rapidly iterate product features, expand its customer base, and establish sufficient data barriers. At the same time, the maturity of centralized AI solutions and user habits are also significant obstacles to market promotion, requiring a substantial value increment to attract users to migrate.

Regulatory Uncertainty

The memory storage and autonomous behavior of AI Agents may face a complex regulatory environment regarding data privacy and algorithms. Different jurisdictions have varying requirements for the use of AI training data, the handling of personal data, and accountability for autonomous decision-making, and this uncertainty may impact the global promotion of projects. Especially in sensitive areas such as personal digital twins and financial transactions, multiple categories of data protection laws and financial regulations may be involved. Projects need to establish a comprehensive compliance framework and collaborate with legal experts to assess regulatory requirements in different regions to ensure the legality of business operations. As the scale of the business expands, the costs of regulatory compliance may significantly increase.

Future Outlook

What is the long-term value of Unibase? The project represents an important attempt to build the infrastructure for a self-sustaining AI economy, providing the technical foundation for agents' continuous learning and collaborative evolution through a decentralized memory layer. As AI Agents become more prevalent and a self-sustaining economy forms, the demand for reliable memory and collaborative infrastructure will continue to grow. If Unibase can successfully validate its technical model and establish widespread ecological cooperation, it has the potential to become the foundational trust protocol for the BNB ecosystem and even the entire AI Agent field. For investors, the project's technical execution capabilities, user growth rate, and the maturity of its token economic model are core factors that require ongoing attention. In the larger trend of the integration of AI and Blockchain, Unibase has the potential to become critical infrastructure, but its development path still needs to overcome multiple challenges in technology, market, and regulation.