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February 19, 2026 · Prague

MemoryLane: Screen Context for AI

Stop re-explaining your work to AI. This talk demonstrates MemoryLane, a system that provides AI with real-time context from your screen, enabling smarter interactions and solutions.

Overview
Links
Tech stack
  • TypeScript
    TypeScript is an open-source superset of JavaScript: it adds static typing and compiles to clean, standards-based JavaScript.
    TypeScript is a high-level, open-source language developed by Microsoft: it acts as a superset of JavaScript, adding a powerful static type system. This system enables compile-time type checking, catching errors before runtime (a critical benefit for large-scale applications). The TypeScript Compiler (TSC) reliably transpiles all code into clean, standards-based JavaScript (ES3 or newer), ensuring compatibility across any browser or host environment (Node.js, React.js, etc.).
  • Electron
    Electron is the open-source framework for building native-like, cross-platform desktop applications (Windows, macOS, Linux) using standard web technologies: JavaScript, HTML, and CSS.
    Electron is your solution for unified desktop development: it packages the Chromium rendering engine and the Node.js runtime into a single binary, allowing you to use one codebase of JavaScript, HTML, and CSS for all major operating systems . This architecture grants the UI (Chromium) access to low-level system resources (Node.js), enabling native features like menus and notifications . Developed by GitHub and maintained by the OpenJS Foundation, Electron powers high-profile, professional-grade applications, notably Microsoft's Visual Studio Code and GitHub Desktop .
  • SQLite
    SQLite is a C-language library: a self-contained, serverless, zero-configuration SQL database engine embedded directly into the application process.
    SQLite is the world's most deployed database engine, functioning as a compact, C-language library (under 900KiB with all features) that eliminates the need for a separate server process. It operates as a serverless, zero-configuration system, storing the entire database (up to 281 terabytes) in a single, cross-platform file. This architecture makes it ideal for countless applications: it is built into all major mobile phones, web browsers, and desktop operating systems. The engine guarantees high reliability, supporting full ACID transactions, and its source code is freely available in the public domain for any use.
  • OpenRouter
    OpenRouter: The unified API gateway for hundreds of LLMs, providing single-endpoint access, automatic fallbacks, and cost-optimized routing across all major providers (e.g., OpenAI, Anthropic, Google).
    OpenRouter is your single, high-efficiency API gateway to hundreds of LLMs from over 60 providers, including OpenAI, Anthropic, and Google. We eliminate the integration complexity: one API key, one endpoint, zero code rewrites when switching between models like GPT-5 or Claude Sonnet 4.5. The platform automatically handles dynamic routing for cost-optimization, pools provider uptime for superior reliability, and consolidates all usage into a single billing dashboard. Expect minimal impact on performance: we operate at the edge, adding approximately 15ms latency, and maintain full compatibility with the OpenAI SDK.
  • Claude
    Claude is Anthropic's flagship family of large language models (LLMs): a high-performance, Constitutional AI system built for safety, complex reasoning, and expert-level collaboration.
    Claude is a next-generation AI assistant developed by Anthropic, a research firm prioritizing AI safety. The models (including Opus, Sonnet, and Haiku) leverage Constitutional AI to ensure helpful, honest, and harmless outputs, a key differentiator from competitors. Claude excels at complex enterprise tasks: processing massive context windows for in-depth data analysis, generating and reviewing code, and providing expert-level summarization for documents up to 200,000 tokens. It is deployed as a conversational chatbot and via API, offering scalable AI solutions for developers and businesses.
  • Mistral
    Frontier AI models (LLMs) from Paris: delivering top-tier performance and efficiency through open-source innovation and optimized architecture.
    Mistral AI is the Paris-based frontier AI startup, founded in April 2023 by ex-Google DeepMind and Meta researchers (Arthur Mensch, Guillaume Lample, Timothée Lacroix). We challenge opaque 'big AI' with a mission to democratize advanced models: focusing on open-source, efficiency, and performance. Our technology, including the 123B parameter Mistral Large 2 and sparse Mixture of Experts (MoE) architecture, consistently delivers state-of-the-art results at significantly lower costs. We provide enterprise-grade solutions (Mistral AI Studio, Le Chat) for custom deployment, fine-tuning, and full data control. We are scaling fast: a $14 billion valuation confirms our position as a global leader in accessible, powerful generative AI.
  • Gemini
    Google's natively multimodal AI model: understands and operates across text, code, audio, image, and video.
    Gemini is Google's most capable and general AI model, engineered from the ground up to be natively multimodal: it seamlessly understands and combines information across text, code, audio, image, and video inputs. The technology is optimized for flexibility, running efficiently on everything from data centers to mobile devices. It is deployed in three key sizes: Ultra (for highly complex tasks), Pro (for broad scaling), and Nano (for efficient on-device tasks). Developers access this power via the Gemini API to build next-generation applications.
  • MCP server
    The MCP Server implements the Model Context Protocol: a standardized interface connecting large language models (LLMs) to external tools and real-time data.
    The Model Context Protocol (MCP) Server acts as the critical bridge—a 'USB-C port for AI'—that extends an LLM's capabilities beyond its training data. It uses a standardized protocol to expose real-world functions and resources to AI agents, enabling direct interaction with external systems. Specifically, the server advertises tools (like running code or searching the web) and resources (like local files or databases) via a consistent JSON-RPC interface. This allows AI clients, such as Claude Desktop or Cursor, to perform complex, contextual tasks: for example, automating GitHub workflows or querying a MongoDB instance on command.
  • Claude Code
    Anthropic's agentic coding tool: Unleash Claude's raw power directly in your terminal or IDE to turn complex, hours-long workflows into a single command.
    Claude Code is Anthropic’s powerful agentic coding assistant, designed for high-velocity development. It operates natively within your terminal, IDE (VS Code, JetBrains), or via a web interface, allowing you to delegate complex tasks like feature building, bug fixing, and codebase navigation. The agent plans, edits files, executes commands, and creates commits, maintaining awareness of your entire project structure. Internally, Anthropic engineers using Claude Code reported a 67% increase in productivity, demonstrating its capacity to deliver significant gains for Pro and Max plan users.

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