The prologue already held the hierarchy
Context Cascade’s four levels, queried one after another, are a cache hierarchy. They get the vocabulary a year later with the APU, and the metadata search becomes BMJ.
An open research series in a prologue and eight parts. Each part publishes the architecture before the code. Then the code and the measurements correct it. Every stage borrows from an architecture that has already proven itself, without copying it whole.
Memory track, 8 stages
From a cascade of memories to a hierarchy with paging, offline tiers, and memory the person can read and delete.
Context track, 6 stages
From versioned blocks that developers assemble to agents that grow from usage and are retired on evidence.
How the systems work
Urithi, in progress
Evidence, working memory, the debrief, the teach-back, the library, the anonymous question box, the signed offline package.
Two flows, animatedContext Lifecycle Engine
Detect, build, run, promote on evidence, and demote when the model drifts.
Twenty steps, animatedThe series
Three levels of memory in cascade, and blocks searched on their metadata. Three articles the same day.
Agents as assemblies of versioned, tested blocks, promoted from dev to prod.
Opaque, user-controlled, hybrid: context as a product feature.
The Living DLL and the Bidirectional Metadata Jump.
Layers, not bigger registers, and a human interrupt.
A four-tier hierarchy, LRU paging and a priority scheduler. 78% L1 hit rate.
A Merkle store of context states, and a switch that loads only the diff. In preparation.
The system detects, creates and retires its own agents from how you use it.
Build, images, containers, volumes, and topology.yaml.
Akili on salvaged hardware. The local tiers are 0.9% of the turn.
At a 1% error budget the free baseline goes from last to first.
Read in order
It does not only move forward. It comes back to its own ideas, sometimes loses them, and finds them again by measuring.
Context Cascade’s four levels, queried one after another, are a cache hierarchy. They get the vocabulary a year later with the APU, and the metadata search becomes BMJ.
Set by Agent OS and the APU scheduler. Lost in the Akili rewrite, where extraction takes a third of the turn. Found again by measurement, then priced at 34.6% of perceived latency. Still an open decision.
Memory scoped to a context, a source for every fact, memory the person can see: all of it was in User-Centric Context Engineering. TencentDB Agent Memory was a reminder, not a source.
Method
The architecture is published before the code, to be defended before anyone is attached to it.
Article on 15 March, repository on 16 March. Article on 17 July, repository on 18 July.
On the real implementation, with its date, commit and model, and the command that reproduces it.
Each measurement article ends on its limits. The tests carry hundreds of deliberate defects they must catch.