What did I do three months ago?
The files exist. The context does not.
For people doing the work
Keep Research Legible.
myLabOS turns active research into readable project memory. Experiments, files, notes, inventory, orders, and spending stay connected to what the lab should do next.
Start with one real project before the next meeting.
Biology project
Treatment response pilot —
cell viability study
cell viability study
Current read
Dose-response trend holds, but one matched replicate is needed.
Evidence
3 runs · 2 files · 1 saved decision
Gap / caveat
High-dose run used a different cell batch.
Inventory + spend
Reagent low · $1,240 pending order
Blocker
Matched batch not in stock.
Next step
Repeat matched condition after restock.
Latest project activity
Experiment
Round 5 viability assay — files and closeout attached
Blocker
Reagent low. Replacement added to project cart.
Decision
Repeat before scale-up. Caveat saved for review.
Run by
Dr. Ishita Chaturvedi · cell biology
Current read
Evidence
Gaps
Next action
You ran the experiment. You already forgot why.
Research is not linear. Projects pause, shift, and restart. Months later, the files remain, but the reasoning is gone.
Why did I stop?
The reason made sense then.
Can the project survive handoff?
Files are inherited, not the reasoning.
The files exist. The reasoning does not.
One page. Five answers.
Each active project should be readable without reconstructing the archive.
01
Current read
The core message today.
What the project currently says, including confidence and caveats.
02
Evidence
What it is based on.
Experiments, files, datasets, notes, and decisions behind the read.
03
Gaps
What is still missing.
Missing controls, unresolved analyses, failed paths, and weak links.
04
Blockers
What is in the way.
Inventory, pending orders, analysis, approvals, or decisions blocking progress.
05
Next
What should happen now.
The specific repeat, order, analysis, or decision that moves the project forward.
The memory updates as the project changes.
myLabOS does not ask the lab to maintain another summary. It builds living project memory from the work already being captured.
Work happens
Experiments close. Files arrive. Notes and decisions accumulate.
Meaning stays current
The project has a current state, not just a pile of artifacts.
Continuity follows
Meetings, handoffs, decisions, and AI start from the same memory.
Asked: What should we do next?
Generic AI
Files + prompt
Repeat the assay.
myLabOS
Project memory + evidence
Repeat the matched condition, but only after resolving the batch caveat and reagent blocker.
Useful day one. Compounds over time.
Inventory first. Project clarity next. Handoff memory later.
Day 1
Day 14
Day 365
Inventory + expenses clear.
Project explainable.
No memory gaps.
Future lab infrastructure
Scientific AI needs the full record.
Not just what worked. What failed, why it stopped, what was blocked, and what should happen next.
Partial record
Claims, protocols, successful runs.
Maintained state
Failure, caveats, blockers, stopped paths.
Scientific AI
Reasoning from the full record.
The lab of the future remembers what worked, what failed, and why.
Progress needs memory.
The result, the caveat, the failed path, and the next move should stay visible.