{
 "schema_version": 1,
 "generated": "2026-10-23",
 "id": "aru-labs-lossless-memory--recall-what-was-said-on-a-given-day",
 "repo": "aru-labs/lossless-memory",
 "repo_url": "https://github.com/aru-labs/lossless-memory",
 "repo_slug": "aru-labs-lossless-memory",
 "title": "Pull the exact lines from a past evening or day",
 "page_title": "How to pull the exact lines from a past evening or day with Lossless Memory",
 "summary": "Ask for a time phrase like yesterday evening and get the verbatim lines from that range in order.",
 "who": "A person who wants to check what an AI assistant agreed to on a specific day, and needs the exact words rather than a paraphrase.",
 "problem": "Similarity search returns loosely related chunks from weeks ago, not the lines from the time you remember.",
 "outcome": "Results restricted to the requested time range, in chronological order, unsummarized, with their timestamps.",
 "steps": [
  "`git clone https://github.com/aru-labs/lossless-memory`",
  "`cd lossless-memory`",
  "`pip install -e .`",
  "`cp config.example.json config.json`",
  "Set timezone in config.json so that yesterday and similar phrases resolve to your local day.",
  "Ingest the logs and run a time-scoped query as shown in examples/quickstart.md, using a phrase such as last Tuesday night or 2026-07-19."
 ],
 "agent_prompt": "Using the repo aru-labs/lossless-memory, run a time-scoped recall for the phrase <time phrase> against the logs in <target data directory> following examples/quickstart.md. Expected output: verbatim log lines from that range in chronological order with timestamps. Verify that every returned line falls inside the parsed date range.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "Relative time phrases are parsed only in English and Japanese, so other languages need absolute dates such as 2026-07-19.",
 "category": "Personal productivity",
 "tags": [
  "Personal productivity"
 ],
 "lang": "python",
 "requirements": [
  "Python with pip, and git to clone the repository",
  "A machine you own; the README describes no server or cloud component",
  "Conversation logs as per-day JSONL files with ts, role, and text fields, or Claude Code transcript files",
  "Optional: a local sentence-transformers embedding model if you want semantic search as a fallback"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/aru-labs-lossless-memory/recall-what-was-said-on-a-given-day/",
 "md": "https://dedupedai.com/use-cases/aru-labs-lossless-memory/recall-what-was-said-on-a-given-day/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/aru-labs-lossless-memory--recall-what-was-said-on-a-given-day.json",
 "api_version": "v1"
}