{
 "schema_version": 1,
 "generated": "2026-10-23",
 "id": "aru-labs-lossless-memory--import-claude-code-transcripts-into-memory",
 "repo": "aru-labs/lossless-memory",
 "repo_url": "https://github.com/aru-labs/lossless-memory",
 "repo_slug": "aru-labs-lossless-memory",
 "title": "Import Claude Code transcripts into a searchable memory",
 "page_title": "How to import Claude Code transcripts into a searchable memory with Lossless Memory",
 "summary": "Point the importer at Claude Code transcript files and build a time-indexed memory from them.",
 "who": "A developer who uses Claude Code daily and wants its past sessions searchable by time without writing a custom importer.",
 "problem": "Past coding sessions live in transcript files that cannot be searched by when they happened or by the exact words used.",
 "outcome": "Transcript lines converted into timestamped records in the lossless log and indexed for time-scoped recall.",
 "steps": [
  "`git clone https://github.com/aru-labs/lossless-memory`",
  "`cd lossless-memory`",
  "`pip install -e .`",
  "`cp config.example.json config.json`",
  "In config.json, set ingest_format to \"claude_code\" and point the input path at your transcript files.",
  "Run the ingest and index steps described in examples/quickstart.md, then confirm the records appear in the per-day logs."
 ],
 "agent_prompt": "Using the repo aru-labs/lossless-memory, configure ingest_format as claude_code and import the transcript files at <transcript path> following examples/quickstart.md. Expected output: per-day JSONL logs containing the imported transcript lines with ts values. Verify that the record count matches the number of transcript messages you expect.",
 "agents": [
  "claude-code"
 ],
 "difficulty": "Intermediate",
 "time": "45 minutes",
 "basis": "readme",
 "caveat": "The README calls the Claude Code importer the path with the most mileage, but another app would need its own importer.",
 "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": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/aru-labs-lossless-memory/import-claude-code-transcripts-into-memory/",
 "md": "https://dedupedai.com/use-cases/aru-labs-lossless-memory/import-claude-code-transcripts-into-memory/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--import-claude-code-transcripts-into-memory.json",
 "api_version": "v1"
}