Governed organizational memory for AI

Let Your AI Agents Remember — Without Oversharing

Shared organizational memory for ChatGPT, AI agents, and internal applications, with automatic classification and scoped access.

No credit card. 10,000 memories/month. Connect in minutes via MCP.

01

AI

ChatGPT, Claude, Cursor or a custom agent calls remember.

02

Memory

An explicit, raw memory is submitted — nothing scraped.

03

Automatically classified

Scope, sensitivity, domain and tags inferred by a cheap model.

04

Policy enforced

A deterministic engine — never the model — decides access.

05

Shared organizational memory

One governed store across every AI your team uses.

06

Right memory → right person

Recall returns only what the human principal may read.

The problem

AI knowledge silos are either useless or dangerous

Every assistant learns something useful, then it disappears inside a single conversation. Share everything and HR knowledge leaks into Engineering. Share nothing and the organization learns no faster than one person can type.

HR

Compensation, reviews and hiring notes should never surface in Engineering chats.

Legal

Privileged and contract knowledge stays inside the boundary.

Executive

Board and strategy context is restricted by default.

Projects

Project Falcon knowledge belongs to Project Falcon members only.

Private

Individual memories stay with the individual until they choose to share.

How scopes work

Every memory gets a scope and a sensitivity

A cheap decision model proposes metadata. Your organization's policy can only tighten it. Access is then computed deterministically — the same inputs always produce the same answer.

Scope

Private, Team, Project, or Organization. Narrows who is eligible.

Sensitivity

Public → Internal → Confidential → Restricted. Raises the floor.

Domain

HR, Legal, Executive, Engineering… with domain-specific guards.

deterministic policy engine
memory: "Project Falcon switched to Supplier B."
scope:        project:falcon
sensitivity:  internal
domain:       Engineering

principal:    dana@acme.com  (member)
teams:        [falcon]
sensitivity_floor: internal

=> evaluate()  ALLOW
   rule: project_membership
   AI granted access: no

Separation of duties

Admins manage. They don't read.

Organization Owners and Admins manage people, teams and policy — but there is no administrative bypass in the authorization engine. Platform staff see XXX for memory content unless a customer issues a time-limited, audited support grant.

AI never grants access

Classifier output is metadata only.

No admin bypass

Owner/Admin ≠ data reader. Ever.

Staff see XXX

Content redacted by default.

Audited support grants

1h / 24h / 7d, revocable, logged.

Works with the AI you already use

One MCP endpoint and a plain REST API. Your agents keep their workflow; MemScope governs the memory.

ChatGPTClaudeCursorCustom agentsInternal apps

Give your AI a memory worth trusting

Start a free 90-day trial and connect your first client in minutes.