Skip to content
Unibase Docs

Unibase Whitepaper

Unibase — Decentralized AI Memory Layer for Autonomous Agents

Latest Full Version:

📎 Unibase_Whitepaper_V0_4.pdf

1. Introduction

Section titled “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

Section titled “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

Section titled “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

Section titled “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: A2A-based agent interoperability with on-chain identity (ERC-8004) and payments (x402 / ERC-8183)
  • Unibase DA: High-throughput, zk-verified data availability for real-time AI access

4. Architecture Overview

Section titled “4. Architecture Overview”

Unibase consists of three core components:

4.1 Membase (AI Memory Layer)

Section titled “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 Internet Protocol)

Section titled “4.2 AIP Protocol (Agent Internet 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 built on A2A for multi-agent coordination, with ERC-8004 identity and x402 / ERC-8183 payments

4.3 Unibase DA (Data Availability Layer)

Section titled “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

Section titled “5. Tokenomics”

5.1 Business Model

Section titled “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

Section titled “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

Section titled “5.3 Token Utility”
  1. Protocol Fees
    Used for agent deployment, memory storage (Membase), and AIP protocol usage.
  2. Governance (veUB)
    Lock UB to participate in protocol governance and reward allocation decisions.
  3. Agent Staking
    Stake UB to activate and promote agents; rewards based on agent activity and utility.
  4. 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 )

Section titled “5.4 Token Vesting ( Total supply: 10B UB )”
CategoryAllocationToken AmountTGE UnlockVesting Schedule
Community35%3,500,000,0005%Remaning vested over 29 months
Ecosystem10%1,000,000,0000%6-month cliff, then 24-month linear release
Treasury20%2,000,000,0000%6-month cliff, then 24-month linear release
Team & Advisors18%1,800,000,0000%6-month cliff, then 24-month linear release
Marketing10%1,000,000,0004.25%Remaining vested over 4 months
Liquidity5%500,000,0005%Fully unlocked at TGE
Binance Alpha2%200,000,0002%Fully unlocked at TGE

Ref：https://coinmarketcap.com/currencies/unibase/#token\_unlocks

6. Ecosystem & Use Cases

Section titled “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

Section titled “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

Section titled “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

Section titled “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

Section titled “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.

Section titled “10. Links”