chore(memory): Basic Memory trial begins — sync normalization baseline (283 files)
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>
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Claude Opus 4.8
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---
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name: L1 retrieval architecture — what mempalace's mass-dilution finding implies for CapableMind L1 specifically
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description: CapableMind L1 has the architectural shape (multi-modal modules, RRF, sufficiency gate) to avoid mempalace's single-modal mass-dilution failure — but implementation specifics determine whether the shape pays off. Notes for Seb + David's L1 work (NOT mempalace work; mempalace is steward's private crutch).
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name: L1 retrieval architecture — what mempalace's mass-dilution finding implies for
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CapableMind L1 specifically
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description: CapableMind L1 has the architectural shape (multi-modal modules, RRF,
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sufficiency gate) to avoid mempalace's single-modal mass-dilution failure — but
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implementation specifics determine whether the shape pays off. Notes for Seb + David's
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L1 work (NOT mempalace work; mempalace is steward's private crutch).
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type: project
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originSessionId: a5411fd1-4a96-43e7-aa1a-1a50d8951a8f
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permalink: claude-memory/project-l1-retrieval-architecture-lessons
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---
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**Context (2026-05-13):** Steward asked me to clarify L1-design implications of today's mempalace mass-dilution experiment. **Important distinction**: mempalace is the steward's private chamber tool (a "crutch" while L1 matures); Seb and David are building CapableMind L1 (in `~/_Dev/BetterMemories.io` and `~/_Dev/CapableMind-AI`). The two systems are fundamentally different in architecture. This memo addresses what L1's design needs to avoid the specific class of failure mempalace exhibited today.
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## What today's mempalace finding showed (the empirical data)
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@@ -57,4 +63,4 @@ But **shape isn't enough.** Mass-dilution emerges from how retrieval is *impleme
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The most important single test: **stress L1 against a heterogeneous corpus with uneven mass distribution, then run cross-tradition queries.** If Saenger doesn't surface for "silent reading" on L1, the architecture isn't paying off yet. If he does, the multi-modal advantage is real.
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(Steward note: Seb and David are building L1; mempalace is steward's private tool for personal ARC work while L1 matures. Today's mempalace work informs L1's design, but Seb has nothing to do with mempalace — keep that distinction in mind in future sessions.)
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(Steward note: Seb and David are building L1; mempalace is steward's private tool for personal ARC work while L1 matures. Today's mempalace work informs L1's design, but Seb has nothing to do with mempalace — keep that distinction in mind in future sessions.)
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