ub

#170

Unibase

Unibase

AI+1 · x402+1
ub#170
Mcap$273M
$0.1096.42%

ub Metrics

Spot Volume (24H)

$4.73M+60.81%

Marketcap

$273M

FDV

$1.09B

Mindshare

Very Low

Circ. Supply

2.5B

Max Supply

10.0B

Mcap/FDV

25%

Total Supply

10.0B

Sector Ranking

#8

Futures Volume

$41.05M

Open Interest

$5.15M

Funding Rate

0.0050%

Volatility (30D)

82.39%

About & Links

ub Performance

1Y Price Performance +36.77%
All Time High
$0.241-54.64%
May 15, 2026
Cycle Low
$0.0582+87.62%
Jun 24, 2026
First Trade
Sep 12, 2025 onBingX

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ub Chart
All Charts
$0.109
27.91% Past Month
Price
$0.10927.91%
Mindshare
0.00059%30.10%
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ub Metrics

Spot Volume (24H)

$4.73M+60.81%

Marketcap

$273M

Mindshare

Very Low

Circ Supply

2.5B

FDV

$1.09B

Max Supply

10.0B

Mcap/FDV

25%

Total Supply

10.0B

Futures Vol

$41.05M

Open Interest

$5.15M

Funding Rate

0.0₄50%

Volatility (30D)

82.39%

ub Performance

1Y Price Performance +36.77%
All Time High
$0.241-54.64%
May 15, 2026
Cycle Low
$0.0582+87.62%
Jun 24, 2026
First Trade
Sep 12, 2025 onBingX

Unibase News & Insights

Create Your Own Report
Last Updated: Oct-29-2026 10:17 UTC

Unibase Project Update

Get Caught Up

DGrid Collaboration for Memory-Native AI Agents DGrid and Unibase announced a collaboration to build a full-stack, Web3-native architecture for autonomous AI agents 1. Under this arrangement, Unibase supplies the decentralized memory and interoperability layer through modules like Membase and the AIP Protocol, while DGrid provides a decentralized, verifiable execution layer for running AI inference 1. The partnership aims to enable agents that can remember, evolve across ecosystems, and execute intelligence transparently, moving beyond stateless tools to persistent, sovereign entities 1.
Project Status and Ecosystem Integrations Unibase is positioned as a high-performance decentralized AI memory layer designed to provide AI agents with long-term memory and cross-platform interoperability, forming the foundation for the "Open Agent Internet" 2. Its testnet is live on BNBChain Testnet, with SDKs and documentation released, and it has integrations with MCP, ElizaOS, Virtuals, and Swarms 2. Ecosystem projects utilizing Unibase include BitAgent, TwinX, and TradingFlow 2.
Core Architecture and Problems Addressed Unibase addresses three key problems: the lack of long-term memory in AI agents, interoperability barriers between ecosystems, and data sovereignty issues tied to centralized data systems 2. Its core modules are Membase (a decentralized memory layer), the AIP Protocol (an agent interoperability protocol), and Unibase DA (a data availability layer) 2. The overarching goal is to provide verifiable, composable, and persistent agent infrastructure on-chain, making EVM chains "AI-native" 2.

Biggest Stories of 2025

  • DGrid × Unibase collaboration announced, establishing a full-stack Web3-native architecture pairing Unibase's decentralized memory and interoperability layer with DGrid's verifiable AI inference execution layer 1 (December 23, 2025).
  • Unibase introduced as the first high-performance decentralized AI memory layer, designed to establish the Open Agent Internet and make any EVM chain "AI-native" through Membase and Unibase DA 3 (December 15, 2025).
  • Project status update published, confirming a live testnet on BNBChain Testnet, released SDKs and documentation, and integrations with MCP, ElizaOS, Virtuals, and Swarms, alongside over 1,000 recorded agent interactions 4 (December 15, 2025).
  • AIP launched on BNBChain, establishing a Web3-native standard for secure, scalable, decentralized multi-agent collaboration that extends MCP and A2A with structured workflows, shared tools, and cryptographic methods such as zero-knowledge proofs and decentralized identity 5 (April 24, 2025).
  • MCP support announced on BNB Chain, enabling multi-agent AI collaboration by adding on-chain identity verification and a high-performance decentralized AI memory layer so agents can securely share knowledge, verify identities, and store data persistently 6 (March 14, 2025).
Note: No items were identified within the past 7 days, so the "Currently Interesting" section is not included. The "Get Caught Up" section reflects the most recent available developments.
News 6

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