Day-one onboarding: new hires start with full team context
Day-one onboarding with a team memory layer means a new hire's AI starts with the team's accumulated context: the decisions, conventions, and history captured from every past session, meeting, and document. Instead of weeks of asking around, their first session already knows how the team works, whether they are an engineer, a PM, or a new hire in any role.
Why onboarding is slow
Onboarding is slow because a new hire's context lives in other people's heads and past sessions they cannot see. They re-ask questions that were answered months ago, and their AI tools start from zero because none of the team's accumulated context is available to them.
The knowledge exists, it is just trapped: in finished AI sessions, in meetings they did not attend, in decisions that were never written down. Every new joiner, in any role, has to reconstruct it by hand.
How shared memory makes day one productive
Shared memory makes day one productive by handing the new hire's AI the team's full context immediately. From their first session, their AI can recall the decisions, the conventions, the gotchas, and the reasoning the team built up over time, whatever their role.
Instead of being the person who slows everyone down with questions, the new hire's AI answers most of them from the shared memory, and the questions that remain are the ones genuinely worth a colleague's time.
What a new hire's AI can recall on day one
On day one, a new hire's AI can recall how the team works, why key decisions were made, which approaches the team already rejected, and the context from recent meetings and documents. For an engineer that includes how the codebase is structured; for anyone, it is the onboarding doc that writes itself and never goes stale.
Because the memory keeps compounding, every hire after them starts from an even richer base. Onboarding gets faster as the team grows, not slower.
Frequently asked questions
Does the team have to write onboarding docs for this?+
No. The memory is captured automatically from the team's AI sessions, meetings, and documents as work happens. There is no separate onboarding doc to write or maintain; the new hire's AI recalls the same context the rest of the team's AI already uses.
Is this only useful for onboarding engineers?+
No. It applies to any new hire in any role. Anyone joining the team benefits from starting with the decisions, context, and history the team has accumulated. Engineers get codebase context on top; everyone gets the shared reasoning behind how the team works.
Can a new hire see everything immediately?+
By default they see the team's open projects. Sensitive projects can be restricted to specific members, so onboarding gives a new hire the shared context they need while keeping locked projects private until they are granted access.
How fast can a new hire start?+
As soon as they install Wemory and launch a session, their AI can query the team's accumulated memory. There is no waiting for someone to write a brief; the context is already there from every past session the team has run.
What does it cost to add a new teammate?+
Seats are 20 USD per month each, prorated and with no commitment, so adding a new teammate is a prorated seat you can remove just as easily. The first month is free with no card required.