The value grows as the team grows.
One engineer solves a hard problem on Monday. By Tuesday, every teammate's assistant already knows it. The Apiary turns individual fixes into team memory automatically, scoped so it is shared and private at the same time.
DownloadKnowledge does not compound on its own.
A fix one engineer finds at 11pm stays with that engineer. The next person who hits the same wall starts from zero, re-explains the same architecture to their assistant, and re-pays for the same tokens. A new hire's agent knows nothing about the codebase on day one, and stays that way for weeks.
One discovery, every teammate's next session.
When someone on the team solves something worth keeping, it becomes a reusable skill. Publish it and every teammate's assistant picks it up automatically, starting with their very next session, no file to pass around and no channel to post in. Skills carry who wrote them, so credit stays clear even as the list grows.
See how skills spreadThe math gets better as the team gets bigger.
A single teammate solves a hard problem once, and writes it down without meaning to.
That fix reaches every assistant on the team automatically, whether the team is three people or three hundred.
A new hire's assistant starts from the team's shared memory instead of a blank slate, so ramp time shrinks as the memory grows.
Savings add up across every device on the team, with measured and estimated numbers kept honestly apart.
What a team actually gets
No re-onboarding
A new hire's assistant inherits the team's shared memory and skills on day one, so ramp time is about the codebase, not about re-teaching the tool.
Nobody re-explains twice
Once a convention or a fix is in the shared memory, no one has to type it out for their assistant again. It is just there.
Shared and private at once
Org, workspace, and project scoping means the team's memory is available where it should be and invisible where it should not, by default.
Lower AI spend, measured honestly
Reused context is billed at a fraction of the normal rate, and priming up front cuts the back-and-forth that burns tokens. The ROI page shows what is measured and what is estimated.
Common questions
How do I save money on AI spend?
Stop re-buying the same context. Shared memory means one teammate's discovery primes everyone else's sessions, reused context is billed at a fraction of the normal rate, and fewer back-and-forth turns means fewer tokens per task. The ROI dashboard shows measured cache savings and clearly labeled estimates.
Does a new hire really get productive faster?
Yes. Their assistant inherits the team's shared memory and skills from day one, instead of starting blank. They still learn the codebase, but stop re-discovering conventions someone already solved.
What stops one engineer's private notes from leaking to the team?
The default leans private. Sharing a memory or a skill with the team is a deliberate, recorded action, not something that happens by accident.
How does memory stay both shared and separate?
Scoping runs three levels deep: org is your company, workspace is a team within it, and project is the repository you are in. Two teams never see each other's memory.
Do I have to manually switch context between projects?
No. The Apiary follows the folder you have open, so the memory that surfaces is already scoped to where you are.
Give your whole team one memory.
Install per developer with one command. What one person learns, the team keeps.
Windows (PowerShell): irm https://get.theapiary.sh/install.ps1 | iex
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