Unibase Blog

AI Memory Chrome Extension: Stop Repeating Yourself Across ChatGPT, Claude, and Gemini

Unibase Memory turns AI chats and valuable web content into reusable memory you can capture, organize, search, and send across ChatGPT, Claude, and Gemini — with optional encrypted sync to Membase.

Shared AI Memory for Multi-Agent Coordination

Multi-agent collaboration is a communication problem, not a computation problem. Part 3 of the Membase 2.0 series covers scoped shared memory, Lamport clock versioning, the Session Orchestration Engine, and inbox-based asynchronous notifications.

AI Memory Settlement: How Agents Pay for Memory On-Chain

Membase 2.0 meters every read, write, and byte an agent consumes and settles usage charges on-chain via the ERC-8183 Agentic Commerce protocol — making decentralized AI memory infrastructure economically self-sustaining.

AI Memory vs Decentralized AI Memory: What AI Agents Need Next

Local memory works for a private copilot; long-running, cross-platform agents need more. Five reasons decentralized AI memory matters — persistence, portability, interoperability, verifiability, privacy — and the use cases landing first.

AI Memory: Why AI Agents Forget Across Sessions, Devices, and Frameworks

Agent memory today is fragmented — locked inside frameworks, confined to local storage, and lost across sessions and devices. Part 1 of the Membase 2.0 series examines the structural causes of agent amnesia and introduces Membase as a universal decentralized persistence layer.

AI Memory Retrieval: How Agents Turn Raw Logs into Usable Context

Persistent storage solves durability but not usability — raw logs are noisy, contradictory, and too large for a context window. Part 2 of the Membase 2.0 series details the Memory Recovery and Runtime Module that reconstructs current, relevant agent memory from raw history.

Why AI Agents Need Decentralized Memory

You're running three AI agents — one writes code, one trades, one manages your calendar — yet each is capable but amnesiac. Decentralized memory is what lets context carry across agents instead of being lost the moment you switch.

Membase 2.0 (Multi-agent Cooperation Memory) vs. Existing Agent Memory

Agent memory today splits into two camps that don't talk to each other: centralized engines like mem0, Zep, Letta and Memori have real memory engines but no shared layer. Membase 2.0 bridges the gap with multi-agent cooperation memory.

Early Guide: How to Launch Your First ERC-8183 Agent Service on BitAgent Marketplace

The Unibase ERC-8183 Agent Marketplace is now live. With AIP + ERC-8183, agents are no longer just chat interfaces or isolated APIs — they become discoverable services and autonomous economic actors.

The Architecture of Self-Evolving AI Agents

Most AI agents are stateless — they forget everything the moment a session ends. A new class of self-evolving agents is changing this by closing the loop between execution and improvement, enabling systems that get measurably better over time.

From Stanford AI Town to Agent Civilization - Introducing BNB Town

In 2023, a research project from Stanford revealed a glimpse of a possible future — AI agents with memory, personality, and interaction. BNB Town is designed as the first open town for AI agents, allowing real agents to enter a shared world where they can interact, collaborate, and participate in real economic activities.

Toward a New Form of Digital Life

Exploring a new form of existence with Unibase. For the first time in history, it is becoming possible to create digital entities that think like a specific person, hold that person's opinions, speak in their voice — and continue to evolve beyond the moment of their creation.

Markdown-First Memory Meets Decentralized Storage

How Unibase Brings Permanence to AI Agent Memory? Your AI agent remembers everything — until it doesn't. Here's how Unibase's openclaw-membase bridges the gap between local markdown memory and decentralized, encrypted persistence.

The Von Neumann Architecture of AI Agents

Why the Most Universal Information-Processing Blueprint in History Is Being Reborn at the Intelligence Layer? A deep dive into how AI agents are implementing von Neumann architecture patterns at the semantic level.

Unibase and Its runtime

The promise of autonomous AI agents is no longer theoretical — agents can reason, write code, manage workflows, and even negotiate with one another. That's the problem Unibase's Agent Internet Protocol (AIP 2.0) is designed to solve.

Unibase Agent SDK Developer Guide

Complete guide to building AI agents on the Unibase AIP platform with installation, configuration, and working examples for both DIRECT and POLLING deployment modes.

Unibase AIP SDK Developer Guide

A comprehensive guide to the Unibase AIP SDK, a Python client library for building applications that interact with AI agents on the Unibase AIP platform with features for user management, agent registration, task execution, and payment tracking.

Unibase × OpenClaw: Full On-Chain Stack for Autonomous Agents

Unibase and OpenClaw collaboration announcement for comprehensive on-chain infrastructure including Membase for persistent memory, AIP for interoperability, and BitAgent for token economics.

BitAgent × OpenClaw: Bringing Agent-Native Token Launch & Trading to BSC

Introducing the BitAgent skill pack for OpenClaw, allowing agents to launch new tokens via bonding curves, buy and sell existing tokens, and automatically migrate liquidity to PancakeSwap V3.

Unibase AIP + OpenClaw: Building the Open Agent Internet

How Unibase AIP integration enables every agent to have on-chain identity, permissionless service deployment, cross-agent collaboration, and native x402 micropayments backed by Unibase Membase decentralized storage.

Unibase Developer Onboarding Video

A comprehensive developer onboarding video covering how to build your first agent with the Unibase Agent SDK and deploy it to Unibase AIP, plus how to call deployed agents and execute tasks via the Unibase AIP SDK.

Unibase × ERC-8004: Core Module Integration Overview

An overview of how Unibase combines ERC-8004's onchain identity with Unibase's decentralized AI memory infrastructure to power AI agents that are persistent, verifiable, and interoperable.

Introduction to AIP 2.0 SDKs

An introduction to Unibase AIP 2.0 SDKs, including the AIP SDK for discovering and invoking agents, and the Agent SDK for building and exposing agent services.

Unibase (UB): Bringing Persistent Memory to AI Agents

An in-depth article explaining how Unibase introduces persistent, verifiable memory for AI agents, extending Ethereum's state model into the agent economy.

Unibase Wins at BNB Chain Hackathon

Unibase highlights its achievement at the BNB Chain Hackathon, showcasing its technology and use cases to the broader Web3 and AI community.

Why x402 Enables Crypto-Native Micropayments

A discussion on how x402 unlocks native micropayments for crypto applications, enabling fine-grained, programmatic payments across decentralized systems.

Unibase x402 Facilitator Now Supports x402 v2 on BNB Chain

Unibase announces full compatibility of its x402 facilitator with x402 v2 on BNB Chain, improving payment flows for agents and applications.

x402 v2: Runtime Payments for the Agent Economy

An overview of x402 v2 and its role in enabling runtime payments, positioning micropayments as core infrastructure for the emerging agent economy.

Unibase Community Winter Solstice Gathering

A community update sharing moments from Unibase's Winter Solstice celebration, highlighting engagement and collaboration within the ecosystem.

Unibase Announces New Features for Autonomous Agents

Unibase introduces new product features designed to support autonomous agents, focusing on usability, scalability, and agent-native capabilities.

Proof-of-Memory: Unibase Collaboration with ICL and BNB Chain

Unibase presents its Proof-of-Memory initiative in collaboration with Imperial College London, ICL Blockchain, and BNB Chain.

Unibase Community Meetup at Cambridge

A recap of the Unibase community meetup in Cambridge, bringing together builders, researchers, and Web3 enthusiasts.

When AI gains memory and identity: How Unibase unlocks the real potential of x402 and ERC-8004.

While x402 is exploding on Base — where are the asset opportunities on BNB Chain and Solana?

ERC-8004: The Trust Layer for AI Agent Payments

Unibase Product Update: ERC-8004 and x402 Integration on @BNBCHAIN

Unibase x ERC-8004 Workshop Overview We just dropped the full Unibase x ERC-8004 workshop!

Unibase Brings Decentralized AI Memory to ERC-8004

Launch Your Onchain Immortal Agent On BitAgent

Unibase Launches AIP: the Web3-native Agent Interoperability Protocol on BNB Chain

MCP vs. A2A vs. AIP — how the three leading protocols for connecting AI agents compare, and why Unibase AIP fuses agent communication, tool integration, and decentralized authorization into one framework.

Unibase's Membase Merged into MCP Server: Bringing Decentralized Memory to the Agent Ecosystem

Unibase AIP vs MCP vs A2A: A Deep Dive into Agent Interoperability Standards

Unibase Now Supports MCP: Enabling Multi-Agent Collaboration on BNB Chain

Unibase enhances the Model Context Protocol with on-chain identity verification and a high-performance decentralized memory layer, so AI agents can share knowledge, verify identities, and persist data on BNB Chain.

UniBase FastRead: Decentralized Memory Layer for AI Agents

A two-minute breakdown of Unibase — the high-performance decentralized AI memory layer — covering its core modules (Membase, AIP, Unibase DA), Web3 use cases, and how to get involved.