🤖AI Logs System Keeps Raw Conversations Since June 2026
AI assistant logs every word since July 2026
TL;DR
A new system logs raw AI conversations without summarization, storing data since June 2026. It uses a Temporal Backbone and SQLite FTS5 for search, with a small re-index interval.
A new AI logs system stores raw conversation logs since June 2026, refusing to summarize data. It uses a Temporal Backbone built on SQLite FTS5 for time-based search, with a 10-minute re-index interval. This system is crucial for developers working on AI assistants that need to retain detailed conversation history. The system has been running daily since July 2026, with logs stored in JSONL files and a semantic search enabled by a local embedding model. The exact-search index rebuild time has dropped from 40 seconds to 1.24 seconds, making it more efficient.
Key Points
Logs stored in JSONL format since June 2026, with a 7-field record structure.
Temporal Backbone uses SQLite FTS5 and sqlite-vec for exact and semantic search.
Re-index interval is 10 minutes, with exact-search index rebuild time down to 1.24 seconds.
Vector index size reduced from 447,013 rows to 124,174 rows, improving efficiency.
System built to solve AI assistant forgetting issues, running daily since July 2026.
Why It Matters
If you're building an AI assistant that needs to remember detailed conversations, this system is a game-changer. It stores raw logs since June 2026, with a Temporal Backbone for efficient search. The exact-search index rebuild time is now 1.24 seconds, making it more practical for daily use. Developers working on AI memory retention will find this system invaluable.
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