Developer releases open-source AI memory tool that stores full conversation logs, no summarization
A new project called Lossless-memory offers a long-term memory system for personal AI assistants that stores complete conversation logs rather than summarizing or embedding them for similarity search. Every record carries a timestamp, forming what the creator calls a 'Temporal Backbone,' enabling time-first queries like 'yesterday evening, about the budget.' The system has reportedly been running daily since July 2026 for a single user as the memory layer of an AI assistant.
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Most AI memory tools trade detail for efficiency, condensing chats into summaries that can blur exact wording or context, which frustrates users who rely on precise recall over time. By preserving raw logs and indexing by timestamp, this approach targets a real gap in personal AI tools: continuity and fidelity across long-term daily use. It also signals growing interest in memory architectures that prioritize traceability and trust over compression, a tension likely to shape how future AI assistants retain and surface personal history.
- The tool avoids summarization entirely, storing full raw conversation logs indefinitely.
- A 'Temporal Backbone' timestamps every record, enabling chronological, time-first search queries.
- The system has been in continuous daily personal use since July 2026, building on earlier prototypes from late 2025.
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See Samsung T7 Portable SSD on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: github.com, 2026-09-21
Published there as: “Show HN: Lossless-memory – a personal AI memory that never summarizes”
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