Supermemory is an AI-powered memory engine designed to help users capture, store, and interact with information from across the web and their digital tools. It serves as a persistent second brain for developers, researchers, and knowledge workers who need to retain and retrieve insights from articles, documents, conversations, and browser content. Built with TypeScript and deployed via Cloudflare Workers and KV for high performance, Supermemory integrates seamlessly with AI tools like Claude and Cursor through its MCP (Memory Control Protocol) interface. The platform offers both a web app and browser extensions to make memory capture frictionless, enabling users to avoid information overload by centralizing their digital knowledge in a searchable, conversational interface.
It’s ideal for individuals who regularly consume large volumes of content and want to build a personal knowledge base that responds naturally to questions—without needing to manually organize or tag content. With support for self-hosting and enterprise deployment, it also caters to teams seeking private, scalable memory infrastructure.
What You Get
- Add Memories from Any Content - Save notes, URLs, PDFs, and plain text directly through the web app or browser extension. Upload files or paste links to automatically extract and index content for future retrieval.
- Chat with Your Memories - Interact with your saved content using natural language queries. Ask questions like ‘What did I read about LLM fine-tuning last week?’ and get precise answers drawn from your saved memories.
- Supermemory MCP Integration - Connect Supermemory to AI tools like Claude, Cursor, and others via the Memory Control Protocol (MCP), allowing those tools to access your personal knowledge base during conversations and code generation.
- Browser Extension - Install the Chrome/Edge extension to save memories with one click from any webpage. Integrate directly with ChatGPT and Claude conversations to reference your saved content without leaving your workflow.
- Raycast Extension - Use keyboard shortcuts in Raycast to add new memories or search existing ones, enabling fast knowledge retrieval during development and research without switching apps.
Common Use Cases
- Building a personal knowledge base from research papers - A researcher saves 50+ PDFs and articles on quantum computing, then asks Supermemory to summarize trends or compare methodologies across papers without manual note-taking.
- Enhancing AI coding assistants with personal context - A developer uses the Supermemory MCP integration to let Cursor access their saved code snippets, API docs, and project notes while generating new code, reducing context switching.
- Problem: Losing insights from Twitter/X threads → Solution: Save entire threads with one click - Users save long Twitter/X threads using the browser extension; Supermemory extracts key points and makes them searchable later for reference.
- DevOps teams managing internal documentation - Teams self-host Supermemory to create a private, scalable knowledge repository for onboarding materials, runbooks, and meeting summaries accessible via chat interface.
Under The Hood
Supermemory is an AI-powered memory system designed to enable persistent, context-aware memory for AI applications across platforms. It provides a modular architecture that supports browser extensions, documentation, and AI SDK integrations to help AI agents retain user preferences and conversation history.
Architecture
The project adopts a modular monorepo structure with distinct applications for different use cases, ensuring clear separation of concerns and extensibility.
- Modular organization with shared utilities and components across browser extension, Raycast, web UI, and documentation apps
- Layered design that separates UI logic, API clients, and core utility functions for maintainability
- Consistent use of design patterns such as middleware for authentication and shared state management
- Component-based UI architecture using React that supports reusability and scalable development
Tech Stack
The system is built with modern web technologies and leverages AI-focused tools to support seamless integration and extensibility.
- Built primarily in TypeScript with React as the core UI framework, supported by WXT and Vite for development
- Utilizes TanStack Query, PostHog, Tailwind CSS, and Turndown for state management, analytics, styling, and content processing
- Employs Bun, Vite, and Turborepo for efficient builds and monorepo management
- Includes basic testing infrastructure with configuration files indicating unit and integration test support
Code Quality
Supermemory demonstrates a balanced approach to code quality with strong testing practices and consistent error handling.
- Comprehensive test coverage across integration points and tool configurations, supporting reliable functionality
- Extensive use of error handling patterns with try/catch blocks in core logic for robustness
- Consistent naming conventions and modular structure that improve readability and maintainability
- Some technical debt in configuration handling and error propagation, indicating room for refinement in core logic
What Makes It Unique
Supermemory stands out through its unique integration of AI memory with browser-based tools and developer-first design.
- Modular extension framework enables plug-and-play content extraction across platforms like ChatGPT, Claude, and Twitter
- Creative use of MDX documentation as part of the developer experience, combining technical guides with interactive examples
- Extensive ecosystem support through standardized API abstractions and SDKs for OpenAI, Anthropic, and more
- Developer-centric approach with unified memory graph abstraction that simplifies complex AI-memory workflows