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    Hi HN! Creator here. I built Story Keeper to solve a problem I kept hitting with AI agents: they remember everything but lose coherence over long conversations. The Core Idea Instead of storing chat history and retrieving chunks (RAG approach), Story Keeper maintains a living narrative: Characters: Who you are (evolving), who the agent is Arc: Where you started → where you're going Themes: What matters to you Context: The thread connecting everything Think of it as the difference between reading meeting notes vs. being in the relationship. Technical Approach ~200 lines of Python. Three…

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  24. 24BA

    Tired of AI coding tools that forget everything between sessions? Every time I open a new chat with Claude or fire up Copilot, I'm back to square one explaining my codebase structure. So I built something to fix this. It's called In Memoria. Its an MCP server that gives AI tools persistent memory. Instead of starting fresh every conversation, the AI remembers your coding patterns, architectural decisions, and all the context you've built up. The setup is dead simple: `npx in-memoria server` then connect your AI tool. No accounts, no data leaves your machine. Under the hood it's TypeScript +…

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