Your team already reads, highlights, discusses, and decides all over the web. Kontxt turns those signals into permission‑aware memory, giving each AI only the context it needs—and is allowed to see—for the task at hand.
Most teams underestimate the rollout phase. The highest-risk window is the first 72 hours after deploy, when drift is invisible and rollback plans go untested. Instrumenting that window is what separates a demo from a system.
Animated illustration: a sentence on a web page is selected, highlighted with Kontxt, saved as a memory, and an AI chat answers a question by citing that highlight.
Model-agnostic. Agent-agnostic. Kontxt sits above your AI stack and decides what flows through.
Highlights, notes, tags — plus the passive trail of what your team reads.
Risk concentrates in the first 72 hours when rollbacks go untested…
Identity, permissions & provenance on every record — shared like a Google Doc.
Ranks everything you’re allowed to see; keeps only what the task needs.
MCP & API hand each agent its slice — citations attached.
Tools store documents. Kontxt records what your people decided mattered.
Most teams underestimate the rollout phase. The highest-risk window is the first 72 hours after deploy, when drift is invisible and rollback plans go untested.
Multiply by every page your team reads. That accumulating, permissioned record of what your organization pays attention to is what other memory stores lack — and what Kontxt delivers.
Not another chatbot over your files. Kontxt answers from the record of what you and your team really read, shared, and kept coming back to — with every access control enforced inside the answer.
It ranks by real attention — what you and your team read, visit, and engage with — so the questions people actually ask land on the right thing.
Independent blind evaluations against state-of-the-art retrieval. Kontxt wins — and the lead grows as your workspace grows.
Access controls are enforced inside every answer, for every teammate and every AI — adversarially tested.
“what caused the outage behind our worst support month?”
Two questions in one: which month, then what caused it. Kontxt decomposes the chain and resolves each step inside your own permissioned record — single-shot search scores zero on chains like this.
“what has Sarah shared with me about the migration?”
Sharing here is a person-to-person record— who gave what to whom, with what access — not an org chart. Enterprise search ranks by department; memory tools have no concept of sharing at all.
“that margin analysis I kept coming back to before we changed our enterprise pricing”
No keywords to match. No topic to embed. The answer lives in your reading behavior — dwell time, revisits, and what your team engaged with. Standard AI search scores zero on questions like this.
Ranked hybrid retrieval, scoped by the same permissions that guard the app — and every block says why it was supplied.
One access model on every surface — app, overlay, and API.
Nothing is public unless you make it public.
See what knowledge gets read, shared, and used — per page, per team.
Your first memory is one highlight away.
Free for individuals · No credit card · One line to deploy