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Merge remote-tracking branch 'upstream/develop' into feat/landing-page-update

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Co-authored-by: Copilot <copilot@github.com>
This commit is contained in:
Dominique Deschatre
2026-04-17 17:00:47 -03:00
parent 28d4f67ba2 41bff266a4
commit 8c3d1ba86c
10 changed files with 58 additions and 24 deletions
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website/.vitepress/theme/Landing.vue
+10 -11
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@@ -453,7 +453,6 @@ onBeforeUnmount(() => {
<span class="sep" aria-hidden="true">·</span>
<a href="https://github.com/MemPalace/mempalace">GitHub ↗</a>
</div>
</div>
<!-- Palace video visual -->
@@ -522,7 +521,7 @@ onBeforeUnmount(() => {
<article class="demo-pane demo-remember">
<header>
<span class="pane-tag">with mempalace</span>
<span class="pane-meta">verbatim &middot; retrieved &lt;<em>50&nbsp;ms</em></span>
<span class="pane-meta">verbatim &middot; retrieved <em>instantly</em></span>
</header>
<div class="chat" data-pane="remember" aria-live="polite"></div>
</article>
@@ -541,10 +540,10 @@ onBeforeUnmount(() => {
</h2>
</div>
<p class="lede">
A two-thousand-year-old memory technique, reworked for a machine.
Broad categories nest time-based groupings; time-based groupings hold
verbatim drawers. A symbolic index lets the model scan thousands of
drawers in a single breath and open only the ones it needs.
An ancient memory technique, reworked for a machine. Broad categories
nest time-based groupings; time-based groupings hold verbatim drawers.
A symbolic index lets the model scan thousands of drawers in a single
pass and open only the ones it needs.
</p>
</div>
@@ -611,8 +610,8 @@ onBeforeUnmount(() => {
</h2>
<p class="lede">
The content stays verbatim — always. The <em>index</em> above it is written
in AAAK: a dense symbolic dialect an LLM can scan at a glance. Tens of
thousands of entries, one pass, exact drawer located.
in AAAK: a dense symbolic dialect an LLM can scan at a glance. Thousands
of entries, one pass, exact drawer located.
</p>
</div>
@@ -659,8 +658,8 @@ onBeforeUnmount(() => {
</div>
<p class="dialect-caption">
Ninety-plus percent compression on the pointer layer. One hundred percent
fidelity on the content layer. You get speed without ever losing a word.
Dense compression on the pointer layer. Full fidelity on the content
layer. You get speed without ever losing a word.
</p>
</section>
@@ -762,7 +761,7 @@ onBeforeUnmount(() => {
<span class="ok"> ✓</span> palace created at <span class="dim">~/.mempalace</span>
<span class="ok"> ✓</span> hooks registered <span class="dim">(stop, precompact)</span>
<span class="ok"> ✓</span> knowledge graph initialized
<span class="prompt">$</span> mempalace remember <span class="dim">"memory is identity."</span>
<span class="prompt">$</span> mempalace mine <span class="dim">./notes</span>
<span class="ok"> ✓</span> filed · <span class="c">W-001/R-01/D-001</span></pre>
</div>