EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·21d ago·5 min read
Show HN: Lossless-memory – a personal AI memory that never summarizes
TL;DR
Lossless-memory is a personal AI memory system that retains every conversation in full without summarization, providing a complete and timestamped log. This approach prioritizes the exact words spoken and their timing, enhancing the user's ability to reference past interactions accurately.
✦ Why It Matters
Consider implementing a lossless memory system to enhance user interactions with your AI applications today.
Key Takeaways
- Implement a memory system that retains full conversation logs.
- Utilize timestamps to enhance search capabilities.
- Focus on local storage for privacy and control.
- Avoid summarization to maintain the integrity of user interactions.
How It Works
Lossless-memory stores every conversation in a structured format with a seven-field record, including timestamps and speaker roles. It uses SQLite for exact-match indexing, allowing users to search by time phrases and retrieve verbatim lines in chronological order.
A small index, LLL, tracks the current topic of conversation, ensuring context is maintained even after data compaction.