Built for teams
Your team's knowledge.
Available to every AI they use.
Memxus Workforce gives your organization a shared memory layer for Claude, ChatGPT, Cursor and Slack — and any app your team uses that needs to remember (Notion, Linear/Jira, Gmail, Salesforce/HubSpot, Intercom, Zendesk, Google Drive, Confluence, GitHub). Decisions, client context, architecture choices — saved once, recalled by every employee.
10 seats minimum. No credit card required to start.
Memxus Cloud (shared workspace memory)
Decision: Migrate to Postgres in Q3 2026
Saved once — recalled everywhere
Employee A — Slack
@eng: We’re migrating to Postgres in Q3.
Memxus: Saved to workforce memory ✓
Employee B — Claude
Q: What database are we moving to?
A: Based on workspace memory: Postgres in Q3.
Employee C — ChatGPT
Q: Why are we choosing Postgres?
A: Workspace memory: decision for reliability + SQL.
Employee D — Cursor
Suggesting: Postgres connection config
Reason: using workspace memory context.
Where MEMXUS sits in your stack
Not another chatbot — the shared layer between your team’s AI tools and the context they need to remember.
Persistent memory
Cloud memory
Save from anywhere
Portable team memory layer
Recall anywhere
Your memories
Persistent · Workspace-isolated · Editable
Dashboard · Notebook
View, edit, delete anytime
ROI your team can measure.
Shared memory compounds across every developer and every AI tool.
Time savings across the team
150–200 hrs recovered per dev/year
- •30–45 min/day lost re-explaining context between Claude, ChatGPT, and Cursor
- •With Memxus: ~0 min — context travels with every team member
- •10 devs → 1,500–2,000 hrs/year; $75,000–$100,000 in recovered time at $50/h
Token savings at scale
Up to 90% fewer tokens
- •Selective, semantic recall vs full-context approaches for the whole team
- •Shared memory means no duplicate context pasted across dozens of daily sessions
Cross-team consistency
40–60% fewer context bugs
- •Fewer bugs from incomplete or inconsistent context between sessions and teammates
- •Architecture decisions and client context stay aligned for every employee
Team onboarding
2–3 days vs 2–4 weeks
- •New members productive from day one via the team memory workspace
- •Conventions, client history, and project decisions available instantly
Without Memxus
6,000 tokens
Each dev pastes the full project brief every session
With Memxus
1,200 tokens
Shared workspace memory recalled on demand
$30/seat/mo — a fraction of what one dev recovers in time alone.
Estimates based on typical team sizes, context sizes, and public list prices. Actual savings depend on headcount, model usage, and how much context your team repeats across tools.
Built for every team that uses AI
Engineering
Architecture decisions that stick. Every dev gets consistent answers from their AI.
“Decision: We use tRPC for all API routes.”
Sales
Every rep knows every client. Handoffs without losing context.
“Acme Corp: decision maker is Sarah Chen (CTO).”
Customer Success
Full client history at every touchpoint.
“GlobalCo: blocked on SSO — follow up with IT.”
Onboarding
New hires productive from day one through their AI tools.
“Convention: 2 reviews required on every PR.”
Enterprise-grade security
Workspace isolation
Every org’s data completely isolated.
Role-based access
Owner, Admin, Member roles.
Audit logs
Every action logged with user and timestamp.
Encryption
AES-256 at rest. TLS 1.3 in transit.
Simple pricing. No surprises.
$30 / seat / month
Minimum 10 seats · Annual plan $25/seat
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