Unibase Blog
Unibase blog — updates on AI agents, decentralized memory, Membase, AIP, x402 payments, and the Open Agent Internet.
Unibase Memory Extension Updates: Grok + Kimi Support Is Now Live
One AI memory across ChatGPT, Claude, Gemini, Grok, Kimi, and the web.
AI MemoryExtension Updates
Aug 11, 2026
Why Gemini Keeps Forgetting Context (and 3 Fixes)
Gemini keeps forgetting context for three reasons: a long thread, the wrong surface, or one setting. Here is how to tell which one, and how to fix it.
AI MemoryMembase
Aug 10, 2026
How to Transfer AI Memory Between ChatGPT, Claude, Gemini, Grok, and Kimi
How to move AI memory between ChatGPT, Claude, Gemini, Grok, and Kimi: identify the context you need, capture it, store it in a platform-independent AI memory, and send only the relevant memories into your next chat.
AI MemoryMembase
Aug 5, 2026
One AI Memory Across ChatGPT, Claude, and Gemini
Why does ChatGPT keep forgetting you? Context window limits, shallow built-in memory, and platform lock-in — and how one user-owned AI memory layer across ChatGPT, Claude, and Gemini fixes all three.
AI MemoryMembase
Jul 20, 2026
AI Memory for ChatGPT and Claude: Remember Client Preferences Without Repeating Context
Stop re-explaining client background in every AI chat. How to build a searchable AI memory of client preferences and previous decisions, and reuse the right context across ChatGPT, Claude, and Gemini.
AI MemoryMembase
Jul 19, 2026
What Is Unibase AI Memory? A Complete Guide to One AI Memory Across ChatGPT, Claude, and Gemini
A step-by-step guide to the Unibase Memory Chrome extension: import AI chats and web content, organize and search your memory, send the right context into any AI chat, and verify your encrypted memory on-chain.
AI MemoryMembase
Jul 18, 2026
What Is Cross-AI Memory and How Does It Work?
Cross-AI memory is a shared, portable memory layer that connects your conversations and context across ChatGPT, Claude, and Gemini — what it is, why it matters, how it works, and how Unibase Memory brings it to your browser.
AI MemoryMembase
Jul 18, 2026
AI Memory for Multi-Agent Systems: Why Agents Need Shared Context
Multi-agent systems are getting smarter, but agents still can't share what they know. Why shared memory — decentralized, verifiable, and user-owned — is the missing coordination layer of the agent economy.
AI MemoryMembase
Jul 13, 2026
AI Memory vs Existing Agent Memory: What Membase 2.0 Changes
Membase 2.0 is the first AI memory system to combine a real memory engine with wallet-rooted ownership, client-side encryption, L1-verifiable storage on UnibaseDA, and multi-agent cooperation without a referee — versus mem0, Zep, Letta, and Web3 storage.
AI MemoryMembase
Jul 13, 2026
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.
AI MemoryMembase
Jul 12, 2026
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 MemoryMembase
Jul 12, 2026
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 MemoryMembase
Jul 11, 2026
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 MemoryMembase
Jul 11, 2026
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 MemoryMembase
Jul 10, 2026
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.
AI MemoryMembase
Jul 10, 2026