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chore(memory): Basic Memory trial begins — sync normalization baseline (283 files)

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Basic Memory v0.21.6 first sync over the live memory dir (steward-authorized
live-dir trial, Option A 2026-06-06): adds permalink: to frontmatter, refolds
long YAML description lines, strips final newlines. Bodies untouched —
verified via full diff classification. From this commit forward, any diff in
claude/memory shows only what Basic Memory or the session writes.

Trial design: MemPalace untouched as incumbent; git status check on this dir
at every wrap; end-of-day evaluation (recall quality, sync robustness,
rebuild-from-files, malformed-file behavior).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
David F Glidden
2026-06-06 09:52:17 +02:00
co-authored by Claude Opus 4.8
parent 161fad7ae2
commit 3f9a89b00c
283 changed files with 2055 additions and 620 deletions
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claude/memory/feedback-pdf-extraction.md
+2 -1
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@@ -2,10 +2,11 @@
name: PDF text extraction approach
description: AI agents cannot extract copyrighted book text — use pdftotext instead
type: feedback
permalink: claude-memory/feedback-pdf-extraction
---
AI extraction agents (Claude subagents) are blocked by content filtering when asked to reproduce copyrighted book text verbatim. This applies even for personal-use format-shifting.
**Why:** Content filtering policy blocks large-scale reproduction of copyrighted translations, regardless of fair-use context.
**How to apply:** For PDF-to-markdown extraction of copyrighted texts, use `pdftotext -layout` (from poppler, already installed via Homebrew) for mechanical extraction. The raw output is readable and citable, with minor OCR artifacts (spaced headings, split chapter numbers) that can be cleaned up with a script. AI agents can handle frontmatter, cataloguing, and cleanup — just not the verbatim text extraction itself.
**How to apply:** For PDF-to-markdown extraction of copyrighted texts, use `pdftotext -layout` (from poppler, already installed via Homebrew) for mechanical extraction. The raw output is readable and citable, with minor OCR artifacts (spaced headings, split chapter numbers) that can be cleaned up with a script. AI agents can handle frontmatter, cataloguing, and cleanup — just not the verbatim text extraction itself.