<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent on Aayush Bajaj's Augmenting Infrastructure</title><link>https://abaj.ai/tags/agent/</link><description>Recent content in Agent on Aayush Bajaj's Augmenting Infrastructure</description><generator>Hugo</generator><language>en</language><copyright>© 2026 Aayush Bajaj</copyright><lastBuildDate>Fri, 21 Aug 2026 12:25:05 +1000</lastBuildDate><atom:link href="https://abaj.ai/tags/agent/index.xml" rel="self" type="application/rss+xml"/><item><title>λambda</title><link>https://abaj.ai/roam/lambda/</link><pubDate>Fri, 21 Aug 2026 11:26:10 +1000</pubDate><guid>https://abaj.ai/roam/lambda/</guid><description>&lt;p>&lt;a
 href="https://lambda.fatfort.com"
 
 
 class="link--external" target="_blank" rel="noreferrer"
 
>&lt;strong>λambda&lt;/strong>&lt;/a> &amp;mdash; Learner-Adaptive, Marks-Bound Drilling Agent &amp;mdash; is a study
tool that keeps &lt;strong>a working image of your mind&lt;/strong>: what you hold, where you
stall, and which exam marks each gap is costing you. It probes before it
teaches, teaches only what you missed, and drills until the fix survives a
variant. The protocol is open source at
&lt;a
 href="https://github.com/abaj8494/lambda-agent"
 
 
 class="link--external" target="_blank" rel="noreferrer"
 
>&lt;strong>lambda-agent&lt;/strong>&lt;/a>; the hosted study
lounge is being built at &lt;a
 href="https://lambda.fatfort.com"
 
 
 class="link--external" target="_blank" rel="noreferrer"
 
>lambda.fatfort.com&lt;/a>.&lt;/p>
&lt;div id="lambda-mind" style="max-width:640px;margin:0 auto 0.4rem">
&lt;canvas id="lambda-mind-canvas" style="width:100%;height:560px;display:block;cursor:grab;touch-action:none" aria-label="A small orange manifold of vectors (your mind, as the Language Model understands it) inside a vast grey cloud of vectors (everything else the Language Model knows). Drag to rotate, scroll or pinch to zoom, two fingers or right-drag to pan.">&lt;/canvas>
&lt;p style="text-align:center;font-size:0.85em;opacity:0.75;margin:0.3rem 0 0">
&lt;span style="color:#fb7e13">&amp;#9632;&lt;/span> your mind, as λ understands it &amp;nbsp;
&lt;span style="color:#6d9b6d">&amp;#9632;&lt;/span> what the Language Model knows that is relevant to you &amp;nbsp;
&lt;span style="color:#9a9a9a">&amp;#9632;&lt;/span> everything else the Language Model knows
&lt;/p></description></item></channel></rss>