Internal reference · How the tool works
The Quantum system

Durable context and memory, at any project size

Quantum is the persistent memory layer we run on top of our AI working environment. An AI assistant, on its own, starts every session blank and forgets what came before. Quantum removes that limit. It records what happens as work proceeds and feeds the relevant history back in later, so the system stays grounded in a project's full history no matter how large that project grows.

1

The core idea

A single AI session can only hold so much in view at once. Projects outgrow that limit quickly, since months of conversations, decisions, files, and tasks will never fit inside one window. Quantum separates what a project knows from what fits in a single session. The knowledge lives in a durable, searchable store, and each session pulls back exactly the slice it needs. Continuity carries across sessions, and across machines and team members, without degrading as the work scales.

2

How it works

Capture

As work happens, activity is recorded automatically into a structured database: prompts, decisions, outcomes, actions, and the files involved, each stamped with who did it and when. Nothing has to be saved by hand. Text worth remembering is indexed by meaning, so it can be found later by intent rather than exact wording.

Recall

At the start of each session, and on demand, the system loads the relevant past back into view: recent activity, active plans, the reasoning behind earlier decisions, and known dead ends. A question such as "why did we decide this three weeks ago" becomes answerable.

Reason

On top of the memory, the tool coordinates multi-step plans with task dependencies, runs many checks or research threads in parallel, and can escalate to a deeper model for a thorough second-opinion review before work proceeds.

3

What it does

✓Keeps a durable record of activity — a running transcript of what happened, who did it, and when.
✓Distills long sessions into written summaries automatically, so the essentials survive without manual note-taking.
✓Tracks multi-step work as plans and tasks, with dependencies and progress, so nothing is dropped mid-project.
✓Accepts inbound email and routes each message into the right person's working context.
✓Stores data dynamically — a structured database, file storage, and search by meaning — and can define and run small custom tools to capture or transform data on the fly.
✓Rolls activity up into dashboards and recap views, so current status is visible at a glance.
✓Learns from repeated corrections over time and turns them into standing rules the system applies going forward.
✓Scopes memory to a team, a person, and a project, so knowledge can be private, project-specific, or shared.
Why it holds up at scale

Because the memory lives outside any single session, the size of a project stops being a limit on what the system can keep in mind. The work runs on a serverless cloud platform, which lets the heavy, occasional jobs (parallel reviews, research, generation) run in bursts without slowing the constant, lightweight work of capturing and recalling memory.

MapMatix · Quantum — internal referenceHow we keep context and memory across large projects