One bounded field, held to a budget you set. Wherever memory is the ceiling, a fixed footprint that preserves recall changes what you can ship. Each page below starts from the memory stack that domain already runs, and works through what changes constraint by constraint.
Every workload below already manages memory, and none of them does it the same way. A companion runs a rolling summary over a vector store. A support agent filters retrieval through a CRM. A robot splits its state across SLAM, a planner, and a ring buffer measured in seconds. What they share is the reason those systems had to be built: memory tracks the length of the interaction rather than its meaning, so every strategy ends up being a way of choosing what to throw away.
Semantic Gravity Fields move the ceiling out of the way. One bounded field of meaning, a footprint you set before you deploy, recall preserved by consolidating redundancy instead of discarding it. The same mechanism answers every workload below, and each page names the stack that domain runs today, what it loses, and what changes.
The gist of everything said, compressed as it accumulates so the total never exceeds its budget.
Names, numbers, identifiers, and codes, held verbatim so compression never blurs them.
The latest exchange word for word, over a protected instruction block that cannot be evicted.
An optional saved persona, profile, or body of knowledge, loaded into the field to shape what a deployment knows and how it responds. Versioned and updatable.
SCOPE: emphasis is directional, not a spec. Every solution tunes all four layers; the marks show where each one leans hardest.
The total field budget is set before deployment, so capacity planning stops being a guess.
Names, numbers, and identifiers are held exact and never compressed — the tier built so a value can't blur with depth. Measured on your workload in a pilot.
Model, hardware, context length, and lens configuration travel with each result, or it is not on this site.
SCOPE: this page states direction, not magnitude. Measured numbers for your workload come out of the pilot, with the configuration that produced them.
A scoped four-week pilot: you bring one workload and a memory budget, we return a measured comparison against your current cache: footprint, recall, and the configuration that produced both.