Ofrenda — The Offline Memory Keeper

Описание и применение

Ofrenda — локальное приложение для хранения и поиска семейных воспоминаний, рецептов и личных историй с использованием локальной модели Qwen 2.5 3B и SQLite.

Задача

Users want to preserve personal memories, recipes, and family stories locally without relying on cloud AI services.

Результат

Ofrenda enables users to keep memories close by providing a local, searchable vault with AI capabilities without external data transmission.

Рабочий процесс

• Clone the repository
• Create and activate a virtual environment
• Install dependencies and pull the local model
• Run the Streamlit app
• Add, browse, and delete memories
• Search memories with keyword matching
• Ask questions using the local Ollama model
• Generate remembrance poems
• Export memories to JSON

Доказательства

Ofrenda is a local‑first AI memory keeper for preserving family stories, cherished recipes, personal memories, and wisdom.

Источник

It helps people preserve meaningful stories, family recipes, and personal wisdom in a searchable digital memory vault.

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Store records in a local SQLite database and use Ollama for AI generation.

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Make sure Ollama is running, then launch the application: streamlit run app.py

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Ofrenda is designed as a local‑first prototype. Its default configuration stores memories in SQLite and sends prompts to the local Ollama API at 127.0.0.1, rather than intentionally calling a hosted AI API.

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The database is not encrypted, and there is no login or multi‑user access control.

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