Your engineering decisions, recalled on demand.
Why a thing was built this way, what was already tried, what the runbook says today. Recalled in any AI you use, with the source attached.
Engineering runs on decisions that were made once and then half-forgotten. Why a service was split, which approach was tried and abandoned, what the on-call process actually is this week. The knowledge exists. It is just trapped in a thread from last spring, a doc nobody links to, or the head of someone who changed teams. MemoryCrow keeps those decisions recallable, with the reasoning and the source, so your team and every AI it uses can answer from what was really decided.
Sound familiar?
The why is gone
The decision lives in a Slack thread from last spring or a doc nobody links to. The person who made it moved teams a year ago.
New hires re-ask everything
Every onboarding repeats the same questions, because the answers were never recallable in the first place.
Re-explaining the stack daily
You paste the same architecture context into your AI assistant for the third time today, just to get a useful answer.
Ask things like this.
In plain language, inside the AI engineering already uses. Every answer comes back cited and current.
With MemoryCrow.
Ask in plain language
Ask why a thing is the way it is, and get the decision and the date, right inside the AI you already use.
Cited, so you can trust it
Every answer points to the decision it came from, so engineers verify instead of guessing.
Current, never stale
When a decision is reversed, the old answer steps aside on its own. Recall reflects what is true today.
Why did we move off the old search?
Latency on faceted queries blew past the SLA, so we moved to the new index in the Q1 platform review.
Connect what engineering already uses
Which AI tools does it work with?
Any AI you already use, including Claude, ChatGPT, and Cursor. Connect once and they all recall from the same memory.
Where does the knowledge come from?
Connect Slack, Notion, docs, and your AI chats, or add engineering notes directly. MemoryCrow keeps it organized and current.
Give your AI a memory it can trust.
Cited, current, and only what you're allowed to see — for you, and your whole team.
A crow never forgets. Now your AI won't either.