Unibase Whitepaper
Unibase — High-Performance Decentralized AI Memory Layer for Autonomous Agents
1. Introduction
Unibase is a high-performance decentralized AI memory layer designed to empower autonomous AI agents with persistent memory and cross-platform interoperability. As AI systems increasingly move toward agent-based models, the lack of standardized memory infrastructure, transparent data, and agent interoperability has become a critical bottleneck.
Unibase solves this by providing a modular infrastructure that allows agents to store, retrieve, and share knowledge in a decentralized, cryptographically verifiable manner.
2. Problem Statement
Traditional AI systems and Web2 platforms store memory and user interaction data in centralized silos. This architecture creates several fundamental problems:
Lack of Persistent Memory: Most AI agents are stateless and cannot retain or build upon long-term knowledge.
Poor Interoperability: Data and agent behavior are not composable across platforms.
No Data Sovereignty: Users do not control or benefit from their data.
3. Vision
Unibase aims to build the foundational infrastructure for the Open Agent Internet — a composable, trustless network of intelligent agents that can learn, collaborate, and evolve autonomously.
3.5 Core Design Summary
Unibase consists of three tightly integrated modules:
Membase: Decentralized memory layer for secure, scalable, long-term AI memory
AIP Protocol: Web3-native agent interoperability (MCP & gRPC compatible)
Unibase DA: High-throughput, zk-verified data availability for real-time AI access
4. Architecture Overview
Unibase consists of three core components:
4.1 Membase (AI Memory Layer)
Decentralized long-term memory storage for agents
Supports structured and unstructured data (e.g. prompts, vectors, context)
zk-SNARK based validation for memory proofs
High-throughput data availability with low-latency read/write
4.2 AIP Protocol (Agent Interoperability Protocol)
Defines cross-agent message standards and behaviors
Enables inter-agent calls, shared memory access, and coordination
Supports agent identity and reputation layers
Web3-native design, compatible with MCP and gRPC for multi-agent coordination
4.3 Unibase DA (Data Availability Layer)
High-performance modular DA system
Compatible with Ethereum, BNB Chain, and OP stack rollups
Delivers real-time access to AI data with >100GB/s throughput and zk-verified integrity
5. Tokenomics
5.1 Business Model
Unibase monetizes verifiable AI memory & interoperability: usage-based fees for Membase (write/read/ZK proofs/storage), AIP bandwidth, and x402 machine payments, plus BitAgent listing/add-ons.
5.2 Revenue Streams
Membase: per-MB writes, per-1k reads, per-proof ZK, storage rent (hot/archive)
AIP: cross-agent messages & cross-domain bridging (per event)
x402 payments: per-transaction micro-fee (per transfer / batch settlement / on-chain receipt)
BitAgent: listing fee + low % marketplace take + memory add-ons
5.3 Token Utility
Protocol Fees Used for agent deployment, memory storage (Membase), and AIP protocol usage.
Governance (veUB) Lock UB to participate in protocol governance and reward allocation decisions.
Agent Staking Stake UB to activate and promote agents; rewards based on agent activity and utility.
Knowledge Mining Earn UB by contributing prompts, memory, and reusable knowledge to the open memory layer.
Unibase adopts a ve(3,3) model to align long-term governance incentives with active agent usage and knowledge contribution. to align long-term governance incentives with active agent usage and knowledge contribution.
5.4 Token Vesting ( Total supply: 10B UB )
Category
Allocation
Token Amount
TGE Unlock
Vesting Schedule
Community
35%
3,500,000,000
5%
Remaining: 6-month cliff, then 24-month linear release
Ecosystem
10%
1,000,000,000
0%
6-month cliff, then 24-month linear release
Treasury
20%
2,000,000,000
0%
6-month cliff, then 24-month linear release
Team & Advisors
18%
1,800,000,000
0%
6-month cliff, then 24-month linear release
Marketing
10%
1,000,000,000
4.25%
Remaining vested linearly over 4 months
Liquidity
5%
500,000,000
5%
Fully unlocked at TGE
Binance Alpha
2%
200,000,000
2%
Fully unlocked at TGE
Ref：https://coinmarketcap.com/currencies/unibase/#token_unlocks
6. Ecosystem & Use Cases
BitAgent: Multi-agent collaboration platform for launching, staking, and autonomous interaction.
TwinX: Turn your tweets into a self-learning agent with on-chain memory — in just 5 minutes.
Beeper: Intent Agent for crypto tipping, red envelopes, and DeFi interactions on Twitter.
TradingFlow: Autonomous trading agent powered by natural language strategy generation.
6.1 Integrated With
Unibase is already integrated with core agent ecosystem protocols, including:
MCP – Multi-agent communication & coordination
ElizaOS – Modular AI runtime environment
Virtuals – Composable Agent deployment standard
Swarms – Multi-agent task orchestration framework
7. Roadmap
Timeline
Milestone
Aug 2025
Mainnet launch on BNBChain (Immortal Agent creation + on-chain trading)
Oct 2025
Native support for ERC-8004 Identity & x402 agent launch
Q4 2025
Activate on-chain memory verification (ZK-backed Membase layer) on BNBChain
Q1 2026
Launch "One Million Memory Nodes" initiative to scale decentralized storage and retrieval
Q2 2026
AIP 2.0 released — cross-platform memory share for interoperable Agents
8. Team & Governance
Unibase is led by a globally distributed team with deep experience in AI, cryptography, distributed systems, and token economics. Governance will gradually transition to a decentralized DAO with on-chain voting powered by veUB.
9. Legal & Compliance
Unibase does not offer its token to users in jurisdictions where such offerings are restricted, including the United States. The UB token is a utility token designed for usage within the Unibase network.
10. Links
Website: https://unibase.com
Twitter: @unibase_ai
Github: https://github.com/unibaseio
Docs: https://openos-labs.gitbook.io/unibase-docs
Explorer: https://www.explorer.unibase.com
BitAgent: https://www.bitagent.io
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