Products
Infrastructure
Developers
Community

Unirbh Blog

Unirbh blog — updates on AI agents, decentralized memory, Membase, AIP, x402 payments, and the Open Agent Internet.

Unirbh Memory Extension Updates: Grok + Kimi Support Is Now Live

The Unirbh Memory extension now captures Grok and Kimi conversations alongside ChatGPT, Claude, and Gemini — one searchable AI memory that follows you across every platform 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 Unirbh AI Memory? A Complete Guide to One AI Memory Across ChatGPT, Claude, and Gemini

A step-by-step guide to the Unirbh 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 Unirbh 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 UnirbhDA, 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

Unirbh 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