AI Memory / Context Management / Long-term Memory for Assistants
Local long-term memory for a personal AI that keeps raw conversation logs, timestamps every record, and uses time-aware retrieval plus a small current-topic index.
The page clearly describes a real AI-adjacent developer project with a specific purpose: lossless long-term memory for a personal assistant. The README explains how it works, including raw JSONL logs, SQLite FTS5, sqlite-vec semantic fallback, time-aware search, and the LLL topic index. It has enough visible implementation detail, architecture, and operating context to support a useful public listing.
The crawl snapshot cuts off before the full README, so a visitor still cannot see setup instructions, usage examples, or the complete architecture and maintenance details. It also does not show screenshots, releases, or a live demo.
Last evaluated just now. Current rank #1788. Up 6 spots in the rankings.
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