<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Posts on Architecting Intelligence</title><link>https://blog.oklensuangoo.uk/posts/</link><description>Recent content in Posts on Architecting Intelligence</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 14 Jun 2026 01:00:00 +0800</lastBuildDate><atom:link href="https://blog.oklensuangoo.uk/posts/index.xml" rel="self" type="application/rss+xml"/><item><title>Your KV Cache Remembers the Context You Deleted</title><link>https://blog.oklensuangoo.uk/posts/kv-cache-remembers-deleted-context/</link><pubDate>Sun, 14 Jun 2026 01:00:00 +0800</pubDate><guid>https://blog.oklensuangoo.uk/posts/kv-cache-remembers-deleted-context/</guid><description>Reusing a subset of a KV cache — training-free — is often more accurate than recomputing from the kept text. This post gives the variable that governs it (coverage), the causal mechanism behind it (a downstream-attention trace), and what it means for agent context compression.</description></item><item><title>The Evolution of Agent Memory</title><link>https://blog.oklensuangoo.uk/posts/agent-memory-evolution/</link><pubDate>Sun, 15 Mar 2026 17:47:02 +0800</pubDate><guid>https://blog.oklensuangoo.uk/posts/agent-memory-evolution/</guid><description>As LLMs turn from language models into the brains of agents, persistent context management becomes the new challenge for RAG and memory. A survey of token-level / parametric / latent memory paradigms and the emerging benchmarks (Memory Arena, Evo-Memory / ReMem).</description></item></channel></rss>