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Show HN: Empirical – Your Personal AI Memory, Across Every AI Tool

Empirical is a personal AI memory layer that works across different AI tools, allowing users to store, recall, and share context and information seamlessly between various AI platforms and applications.

Background

- **Empirical** is a new tool from developer Jack G?zza that gives large language models (LLMs) like ChatGPT, Claude, and Gemini a shared, persistent memory — rather than having each AI start each conversation from scratch or only remember within its own app. - It works by storing facts, preferences, and past interactions in a local database on the user's machine, then injecting that information through system prompts into whichever AI the user is currently talking to. - The project addresses a known limitation of current AI chatbots: they lack long-term, cross-platform memory. Some services offer "memory" features, but those are siloed inside each company's ecosystem and raise privacy concerns. - Empirical is open-source and runs locally, meaning users control their data — a response to growing unease about AI companies training on personal conversations.