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Developer builds AI knowledge base for persistent LLM memory

A developer has created Edgenote-AI, a tool designed to give large language models like Claude persistent memory for project context. This system functions as a shared knowledge base accessible via the Model Context Protocol (MCP), allowing both humans and AI to read and write information. Built on Cloudflare Workers, it offers a web UI for users and an MCP endpoint for LLMs, with plans to integrate advanced search capabilities. AI

IMPACT Enables LLMs to retain project context across conversations, potentially improving developer productivity and AI assistant utility.

RANK_REASON This is a custom tool built by a developer to address a specific problem with LLM memory, not a release from a major AI lab or a significant industry-wide development.

Read on dev.to — MCP tag →

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Developer builds AI knowledge base for persistent LLM memory

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  1. dev.to — MCP tag TIER_1 English(EN) · kaz ·

    Building a Lightweight Remote MCP Knowledge Base on Cloudflare Workers

    <p>Every time I start a new conversation with Claude, I re-explain my project context. What we decided, what the architecture looks like, what we tried and rejected. The AI has no memory.</p> <p>I built <strong>edgenote-ai</strong> to fix this — a lightweight shared knowledge bas…