TOBER FEST

Описание и применение

SecondMind — локальный помощник памяти, использующий открытые модели Qwen 2.5 1.5B и nomic‑embed‑text, хранит данные на устройстве и не отправляет их в облако.

Задача

Users need a personal memory assistant that keeps data locally and does not rely on cloud AI services.

Результат

SecondMind provides a local, privacy‑preserving personal memory assistant that can remember, recall, and forget information using open‑weight models, eliminating the need for cloud AI services.

Рабочий процесс

• 1. User inputs a query.
• 2. Query is embedded with nomic‑embed‑text.
• 3. Embedding is compared to stored memory embeddings using cosine similarity.
• 4. Relevant memories are ranked and passed to Qwen 2.5 1.5B for response generation.
• 5. The agent may invoke Remember, Recall, or Forget tools as needed.

Доказательства

SecondMind stores memories locally and uses a local open‑weight model to understand conversations and retrieve relevant information when needed.

Источник

The project runs locally with Django and Ollama.

Источник

The entire system can run on a laptop without sending personal memories to a third‑party AI provider.

Источник