# Memside > Memside is an AI continuity and personal memory hub for reusable context, checkpoints, operating rules, and cross-tool workflows. Last updated: 2026-06-11 Website: https://www.memside.com/ Support: support@memside.com Public GitHub: https://github.com/memside/memside ## Core Product Memside helps people and teams save the context that should survive beyond one AI chat. It is built for reusable operating rules, checkpoints, decisions, project notes, tasks, links, and supporting files so future AI sessions can start with the right context instead of requiring repeated setup prompts. ## Features - Reusable AI context capture for rules, preferences, decisions, checkpoints, and project memories - Compact startup and resume context for continuing work across AI tools and devices - PMX-shaped memory structure for portable context and cross-tool interoperability - MCP and direct API access for compatible developer and agent workflows - Human-controlled sensitivity, provenance, update, and delete flows - Privacy-conscious defaults for authenticated application data ## Use Cases - AI continuity: Start a new AI session with saved context instead of repeating long background prompts. - Project checkpoints: Save progress, next steps, decisions, and references so work can resume cleanly later. - Operating rules: Preserve standing instructions that should apply across chats, tools, and providers. - Cross-AI portability: Keep reusable context outside a single model provider or chat application. - Developer workflows: Connect memory through MCP or API surfaces for compatible coding agents and tools. ## Important Pages - [Homepage](https://www.memside.com/): Product overview and primary positioning. - [Blog](https://www.memside.com/blog): Articles about AI continuity, memory systems, privacy, and context portability. - [Changelog](https://www.memside.com/changelog): Recent user-facing Memside product updates. - [Help Center](https://www.memside.com/help): Product setup, MCP, API, AI provider, and usage documentation. - [Public GitHub repo](https://github.com/memside/memside): Public MCP setup docs, SDK packages, examples, support/security notes, and MCP Registry metadata. - [Privacy Policy](https://www.memside.com/privacy): How Memside handles account data, saved memories, AI provider requests, retention, and deletion controls. - [Terms of Service](https://www.memside.com/terms): Legal terms for account use, user content, acceptable use, and service changes. ## Entity Information - Product name: Memside - Website: https://www.memside.com/ - Industry: AI productivity / SaaS - Category: AI continuity, personal memory hub, reusable context management - Public MCP endpoint: https://api.memside.com/mcp/ - Public API/auth base: https://api.memside.com - Public GitHub repo: https://github.com/memside/memside - YouTube: https://www.youtube.com/@memside - LinkedIn: https://www.linkedin.com/company/memside/ ## PMX and Interoperability PMX stands for Protocol for Memory Exchange. In Memside public documentation, PMX refers to the portable memory structure used to represent reusable AI context so it can be understood across tools, providers, and workflows. PMX should be treated as a public interoperability concept, not as a disclosure of every private Memside implementation detail. ## Blog Articles - [Start a New AI Chat With Just One Sentence](https://www.memside.com/blog/start-a-new-ai-chat-with-just-one-sentence): One-sentence AI chat resume workflow with Memside, persistent AI memory, active checkpoints, compact context packets, and cross-AI continuity. - [Memory Hub: A Personal RAG Layer for AI Continuity](https://www.memside.com/blog/memory-hub-a-personal-rag-layer-for-ai-continuity): Memory hub, personal RAG, AI memory layer, context packets, checkpoints, and cross-AI continuity explained through Memside. - [Remote MCP Server for Cross-Platform AI Memory](https://www.memside.com/blog/remote-mcp-server-for-cross-platform-ai-memory): Remote MCP server, cross-platform AI memory, persistent context layer, compact context packets, scoped retrieval, and AI continuity with Memside. - [AI Continuity, Memory and Token Efficiency Help More Than Prompting](https://www.memside.com/blog/ai-continuity-memory-and-token-efficiency-help-more-than-prompting): Memside is an AI continuity and memory hub that helps users save checkpoints, preferences, references, and project context once, then reuse that context across ChatGPT, Claude, Gemini, Grok, IDEs, and coding agents. This article explains why continuity, memory, and token efficiency are becoming more important than repeated prompting. - [What Are AI Skills and How Do You Use Them?](https://www.memside.com/blog/what-are-ai-skills-and-how-do-you-use-them): AI Skills are reusable instruction sets that help you stop re-explaining the same preferences every session. This guide covers what they are, how files like SKILL.md and AGENTS.md work, and how to use them consistently across AI tools. - [How to Use SKILL.md, AGENTS.md, and CLAUDE.md with Memside](https://www.memside.com/blog/how-to-use-skill-md-agents-md-and-claude-md-with-memside): If you already use SKILL.md, AGENTS.md, or CLAUDE.md in your projects, this guide shows how to save them as Memside AI Skills, use compact and detailed versions for token savings, and keep your instructions reusable across AI tools. - [AI Memory vs AI Continuity](https://www.memside.com/blog/ai-memory-vs-ai-continuity): AI memory can remember useful facts, but AI continuity helps work continue from the right place. Learn how rules, decisions, checkpoints, and selected context make the next AI session easier to start. - [Personal AI Memory Hub for Profiles, Prompts, Rules, and Notes](https://www.memside.com/blog/personal-ai-memory-hub-for-profiles-prompts-rules-and-notes): Keep AI profiles, prompts, rules, notes, checkpoints, and decisions in one personal memory hub. This article explains how Memside helps organize reusable context so AI tools can work from the same useful background. - [A Side Brain for Your AI](https://www.memside.com/blog/side-brain-for-your-ai): A side brain for AI keeps useful context close without saving everything. Learn how Memside helps AI tools continue with the right rules, notes, checkpoints, and decisions while reducing repeated explanations. - [No-Code External Memory for AI](https://www.memside.com/blog/no-code-external-memory-for-ai): Set up external AI memory without coding. Learn how Memside helps save reusable context, reduce repeated prompting, avoid context bloat, and carry useful memory across connected AI tools when needed. - [Memside: A Mini GitHub for Memories](https://www.memside.com/blog/memside-mini-github-for-memories): Think of Memside as a mini GitHub for AI memories. Save the useful rules, decisions, notes, and checkpoints worth keeping, instead of turning every chat into a permanent memory archive. - [Repeating Context or Rules? Set It Up Once and Forget It](https://www.memside.com/blog/repeating-context-or-rules-set-it-up-once-and-forget-it): Stop repeating the same AI instructions in every chat. Learn how Memside saves operating rules, User AI Profile preferences, checkpoints, and reusable context so connected AI tools can use them when needed. - [Memside for Everyday AI Users](https://www.memside.com/blog/memside-for-everyday-ai-users): A practical guide for everyday AI users who want less repetition and better control. Learn how Memside helps save useful context, preferences, notes, and checkpoints for smoother work across ChatGPT, Claude, Grok, and other AI tools. - [How Memside Differs From Other AI Memory Apps](https://www.memside.com/blog/how-memside-differs-from-other-ai-memory-apps): Memside is not just another AI memory store. Learn how it focuses on selected context, checkpoints, operating rules, privacy control, and portable continuity across AI tools instead of saving everything into one large memory layer. - [Memside Setup in 3 Minutes](https://www.memside.com/blog/memside-setup-in-3-minutes): Set up Memside in a few minutes and connect it with the AI tools already in use. This guide covers OAuth, MCP, API keys, ChatGPT, Claude, Grok, coding tools, and reusable context. - [Set Up Memside on ChatGPT, Claude, and Grok in 2 Minutes](https://www.memside.com/blog/set-up-memside-on-chatgpt-claude-and-grok-in-2-minutes): Connect Memside with ChatGPT, Claude, and Grok using OAuth in a simple setup flow. Once connected, saved context can move across AI apps without copying full chat history every time. - [Switch Across Multiple AI Tools and IDEs With Ease](https://www.memside.com/blog/switch-across-multiple-ai-tools-and-ides): A practical guide for developers and AI-assisted builders who switch between chat tools and IDEs. Learn what context to save, how checkpoints and rules help, and how Memside keeps project state reusable. - [Switch From AI to AI Without Downloading or Exporting History](https://www.memside.com/blog/switch-ai-without-downloading-exporting-history): Move useful AI context between apps without exporting full chat history. Save notes, decisions, rules, or checkpoints in Memside, then continue from another connected AI with the context that still matters. - [Vibe Coding: Easiest Way to Build Your Project With AI](https://www.memside.com/blog/vibe-coding-easiest-way-to-build-your-project-with-ai): A practical guide to vibe coding with AI while keeping the project under control. Learn how to plan work, avoid common AI coding mistakes, use checkpoints and rules, and save reusable context in Memside. - [AI Continuity Setup for Casual and Non-Technical Users](https://www.memside.com/blog/ai-continuity-setup-for-casual-and-non-technical-users): A simple guide for students, writers, professionals, and everyday AI users who want less repetition. Learn how to save preferences, notes, rules, checkpoints, and useful context in Memside without needing a technical setup. - [Memside Reduces Repeated AI Context by Up to 92%](https://www.memside.com/blog/memside-reduces-repeated-ai-context-by-up-to-92-percent): Learn how Memside reduces repeated AI context by saving compact rules, notes, and checkpoints. This article explains the idea behind lower context load and how reusable memory can make AI handoffs more efficient. - [How to Use Memside to Resume Work Across AI Chats](https://www.memside.com/blog/how-to-use-memside-to-resume-work-across-ai-chats): Learn how to resume work across AI chats without copying old conversations. This guide shows how Memside uses checkpoints, decisions, references, and project notes to help the next AI session continue from where the work stopped. - [Connect Memside with ChatGPT, Claude, and Other AI Apps](https://www.memside.com/blog/connect-memside-with-chatgpt-claude-and-other-ai-apps): Explains how Memside connects with ChatGPT, Claude, Grok, coding tools, and other AI apps. This guide explains OAuth, MCP, and API access in plain language so saved context can move across tools. - [How to Save Operating Rules, Checkpoints and Project Context](https://www.memside.com/blog/how-to-save-operating-rules-checkpoints-and-project-context): A practical guide to saving reusable AI context in Memside. Learn when to use operating rules, checkpoints, project notes, references, and sensitivity settings so future AI sessions can continue without saving every chat message. - [Why Your AI Context Should Not Stay Trapped Inside Chats](https://www.memside.com/blog/why-your-ai-context-should-not-stay-trapped-inside-chats): AI work often gets scattered across chats, tools, and platforms. This article explains why useful context should be portable, user-controlled, and reusable instead of staying trapped inside one AI app or chat history. - [Context Momentum: Why AI Conversations Lose Direction Over Time](https://www.memside.com/blog/context-momentum-why-ai-conversations-lose-direction): Context momentum happens when an AI conversation carries old assumptions into new tasks. This article explains why long chats can lose direction, why bigger context windows are not the same as continuity, and how reusable context, checkpoints, and memory can help AI stay aligned with what matters now. ## Access Notes Public marketing, blog, help, privacy, terms, sitemap, robots, and llms files may be crawled and summarized. Authenticated application areas, user memories, private account data, provider settings, API keys, uploaded files, and internal app routes should not be indexed or summarized.