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Simple by Design

MemBridge intentionally offers only 5 core functions. We’ve eliminated complex features to ensure anyone can use it without technical expertise or reading lengthy documentation.

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The 5 Core Functions

MemBridge provides exactly 5 functions:
  • Save Memory - Store important information for later use
  • Retrieve Memory - Search and find your saved memories
  • Update Memory - Keep your information current
  • Delete Memory - Remove memories you no longer need
  • List All Memories - View and manage all your saved memories

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How It Works

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Cross-Tool Memory Sharing

The key innovations of MemBridge are cross-tool compatibility and cross-session explicitness. Unlike native AI memory features that only work within a single service, MemBridge enables all your AI tools to access the same memories. Moreover, even within the same AI tool, when you work across multiple chat sessions, MemBridge provides explicit, lossless information transfer. Native memory features rely on automatic search, which often loses important details. MemBridge allows you to save specific information and retrieve it exactly as stored—no ambiguity, no information loss.
1

Save Once

Save a memory in any connected AI tool or through the web dashboard
2

Access Everywhere

The same memory becomes instantly available in all your other AI tools
3

Stay in Sync

Updates or deletions are reflected across all tools automatically

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Example Workflow

You’re writing an article in Claude and mention:“Remember that I prefer using active voice and keeping sentences under 20 words.”Claude saves this to MemBridge.
You’re coding in Cursor and ask:“Write a README for this project.”Cursor retrieves your writing preferences from MemBridge and applies them automatically.
You’re researching in ChatGPT and ask:“Summarize this article following my preferred writing style.”ChatGPT knows your preferences without you repeating them.

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Memory Management

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Two Ways to Manage Memories

You have full control over your memories through two interfaces:
  • AI Assistant
  • Web Dashboard
Manage memories through conversation by mentioning MemBridge:
"Use MemBridge to remember that I'm working on a Next.js e-commerce project using Stripe for payments."

"Use MemBridge to check what you know about my current project."

"Use MemBridge to update my project memory: we switched from Stripe to PayPal."

"Use MemBridge to forget about my old project."

"Use MemBridge to show me all my saved memories."
Your AI assistant will use the appropriate MemBridge function when you mention it.
It’s recommended to explicitly mention “MemBridge” or “use MemBridge” in your requests to ensure your AI uses the MemBridge tools reliably.

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Memory Structure

Each memory consists of two simple parts: 
{
  "title": "Development Stack",
  "content": "I use Next.js 14, TypeScript, Tailwind CSS, and deploy on Vercel. I prefer functional components with hooks and write tests using Jest and React Testing Library."
}
Keep memories concise and focused. One topic per memory makes them easier to retrieve and update.

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What Makes MemBridge Different

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Comparison with Native AI Memory

FeatureClaude/ChatGPT MemoryMemBridge
Cross-tool sharing❌ Limited to one service✅ Works across all MCP tools
Cross-session explicitness⚠️ Search-based, details get lost✅ Explicit save/retrieve, lossless
Manual control⚠️ Mostly automatic✅ Full control over what’s saved
Visual management❌ Limited interface✅ Full web dashboard
Data export✅ Export anytime✅ Export anytime
Works with Cursor❌ No✅ Yes
Works with Cline❌ No✅ Yes

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Why Simple is Better

No Learning Curve

Five basic operations that everyone understands. Start using immediately without reading documentation.

Fast & Reliable

Simple architecture means faster response times and fewer things that can go wrong.

Easy to Maintain

You can easily understand what’s stored and keep your memories organized.

Works for Everyone

From non-technical users to developers—everyone can use the same simple interface.

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Use Cases

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For Everyone

Dietary restrictions, learning style, accessibility needs—save once, respect everywhere.Example: “Vegetarian, allergic to nuts. Learn best with examples and analogies. Prefer step-by-step explanations.”
Save procedures, workflows, or instructions you reference often.Example: “My morning routine template, weekly planning process, meeting prep checklist.”
Any information you find yourself explaining repeatedly to AI assistants.Example: “My timezone is EST. I work 9-5 on weekdays. I prefer communication via email for important matters.”

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For Content Creators

Define your voice, tone, and preferences. All AI tools will match your style automatically.Example: “I write in casual, conversational tone. Use active voice, short sentences, and plenty of examples. Avoid jargon.”
Save brand voice, terminology, and messaging guidelines. Consistent content across all AI interactions.Example: “Always use ‘customers’ not ‘users’. Emphasize simplicity and accessibility. Friendly but professional.”
Keep track of ongoing research topics. Continue your research seamlessly across different AI tools.Example: “Researching AI memory systems: focusing on RAG, vector databases, and semantic search. Interested in practical applications.”

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For Developers

Save your tech stack, coding preferences, and common patterns. Every AI tool you use for coding will understand your setup instantly.Example: “I use React with TypeScript, prefer functional components, use Tailwind for styling, and deploy on Vercel.”
Document project details, architecture decisions, and ongoing work. Switch between Claude for planning, Cursor for coding, and ChatGPT for research—all with full context.Example: “Working on an e-commerce site with Next.js 14, using Prisma with PostgreSQL, implementing Stripe payments.”
When working on multiple features in different chat sessions, explicitly save design decisions or implementation details from one session and retrieve them accurately in another.Example: In Chat A, you discuss and finalize API design patterns. Save them to MemBridge. In Chat B (working on a different feature), retrieve those exact patterns—no details lost to automatic search.
Store frequently used code patterns or configurations. Access them from any AI tool when you need them.Example: “My standard ESLint config, Next.js middleware pattern, Prisma schema setup.”

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Getting Started

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