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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. How We Built Context Hub at Rehearsal: One Memory Layer for Every MCP Client

    Rehearsal has developed a unified memory layer called Context Hub to streamline context management across multiple AI chat clients. This system aims to reduce the engineering overhead associated with maintaining separate contexts for tools like Claude.ai, Claude Code, ChatGPT, Perplexity, and Cursor. By centralizing memory, Context Hub seeks to improve efficiency and user experience when interacting with various AI assistants. AI

    How We Built Context Hub at Rehearsal: One Memory Layer for Every MCP Client

    IMPACT Streamlines user experience across multiple AI chat interfaces by unifying memory management.