Remember what
the sensors couldn’t.
MemGo is the AI memory layer for physical-world work—preserving the observations, adjustments, and decisions that disappear between the test bench and the final report.
“Motor pitch changed after the second adjustment.”
01 / THE MISSING LAYER
Telemetry tells you what.
MemGo remembers why.
Physical tests generate more than sensor data. A glance, a sound, a last-second adjustment, a decision made between two runs—this human context is often the first thing lost and the hardest thing to reconstruct.
MemGo keeps that layer close to the moment, connected to the work, and inspectable later.
“The second run was repeated because the vibration remained after tightening the mount.”
HUMAN REVIEW REQUIRED02 / THE MEMORY LOOP
Three moments.
One continuous memory.
Designed to move with the work, from the physical moment to a reviewable record.
Stay close to the moment.
Save a short voice or text observation before details collapse into memory.
Attach it to the work.
Connect human context to the test ID and the team’s existing records.
Reconstruct with evidence.
Find what was observed, changed, and decided—then verify it against the source.
DESIGNED FOR REAL SYSTEMS
Beside your stack.
Not another silo.
MemGo is being designed to complement telemetry, logs, chat, and official test records. Those systems remain authoritative; MemGo preserves the human thread between them.
03 / BUILT WITH BOUNDARIES
Trust is a product feature.
Human-reviewable
Memories should show their source and stay open to correction.
Quiet by design
Capture only what matters, without turning real work into constant screen time.
Clear authority
MemGo does not control equipment or replace telemetry and official records.
MEMGO / EARLY RESEARCH