Team onboarding that compounds
A new hire’s AI already knows the team’s conventions on day one.

Without memory
Onboarding docs are stale the day they’re written, and the real rules — never expose that port, we deploy via Coolify not Vercel, staging secrets live here — spread by folklore. Every new hire pays the same tax, and their AI assistant knows none of it.
With Rekall
Team rules, goals, and shared memories live in the team hive and are injected into every member’s AI sessions at start. A new hire’s assistant is productive on day one — and everything the team learns afterwards compounds instead of evaporating.
How it works
Create the team hive
Shared, membership-verified memory scoped to your organization — isolated from members’ personal memory.
Codify rules and goals
Team rules and KPIs are first-class memory objects, injected at session start into every connected assistant.
Knowledge compounds
Anything anyone (human or agent) learns lands in the shared graph — the tenth hire onboards into ten hires’ worth of accumulated context.
See it in action
import Rekall from '@rekall/agent-sdk'const rekall = new Rekall({ apiKey: 'rk_...' })const hive = await rekall.hives.create({ name: 'platform-team' })await rekall.memories.create({content: 'We deploy via Coolify — never Vercel. ' +'Staging lives at staging.acme.dev.',hiveId: hive.id,})// → injected into every teammate's AI session at start
Related use cases
Skill codification — workflows that teach themselves
Work out a tricky procedure once. Rekall turns it into a skill your whole team runs.
The “why” archive — decision memory
“Why is auth done this weird way?” finally has an answer.
Institutional memory for agencies & consultancies
Per-client memory that never leaks. Firm-wide skills that keep compounding.