Drift costs money.
Work built on stale or misleading context gets thrown out or redone. You pay full freight in time and tokens, even for the slop that you do catch.
Curated context for teams and their agents
mem& curates everything your team knows into one collective understanding, so every agent does your team's best work, at full speed, with less waste.
The problem
Agents make everyone on your team faster, but each works from its own slice of context. Teams used to drift apart slowly enough to realign by hand, but AI‑powered teams drift as fast as they work.
Work built on stale or misleading context gets thrown out or redone. You pay full freight in time and tokens, even for the slop that you do catch.
The work that you keep draws on only a fraction of what your team collectively knows. The best version of it never gets made.
When people aren't confident their agents are aligned, they won't hand them whole jobs. Instead they build in human checkpoints; the more steps that require human approval, the more the work runs at human speed.
The solution
Drift stops when every agent shares one understanding. mem& builds that understanding from the tools your team already uses, reconciles it into a shared knowledge graph, and serves it to each agent as needed.
Why mem&
Upload a few documents, then connect your agent to align it.
When you're ready to automate the flow of information into your Library, connect it to your team's tools with just a few clicks. There's nothing to engineer.
mem& does not require active administration or a lengthy onboarding. It automatically organizes your knowledge within a framework that you can change, and classifies the sensitivity of content, limiting who can see it.
Your knowledge is your asset. You own your Library and can take it with you. Works alongside every other layer of your AI stack.
Why mem&
Your Library gives every agent your team's current understanding, traceable to its sources, and proactively investigates the gaps.
Join the waitlist
We'll write when mem& is ready for your team.