Everyday AI users
Your next chat should remember the last useful answer, the files that mattered, and the decision you already made.
Make every AI session remember the work.
Start with MemQ, the flagship memory layer for people and teams using AI every day. Save context once, recall it across tools, and hand it to the next agent or teammate with boundaries intact. Add Shield adds the security control plane when sensitive prompts, files, and browser workflows need policy before scale.
Less AI reworkGoverned handoffsAgents start ready
Live handoff preview
One approved memory follows the work across tools, agents, and people.
Codex
Build
Gemini
Reason
Hermes
Operate
OpenClaw
Execute
MemQ recall
Approved decision saved once
Repo and customer context recalled
Sensitive data boundary checked
Next teammate receives the handoff
Team handoff
The next operator starts with context
No repeat kickoff. No lost decision. No unpaid context rebuild.
Memory IDmemq_7f3a9b2c
Tools work with memory
Skills inherit context
Approvals stay visible
The Multinex operating stack
Begin with memory. Add governance, agents, and automation when the work is ready.
Most AI rollouts fail because context disappears between tools, teams, and approvals. Multinex starts with MemQ so the first proof is simple: save the decision, restart the session, and keep moving.
Developer teams
Agents should inherit repo decisions, implementation constraints, and handoff notes instead of reopening the same work.
Enterprises
Roll out AI memory with approval paths, role boundaries, retention posture, and evidence leadership can audit.
01
MemQ
Make every AI session remember the work.
MEMQ
Save the decisions, preferences, repo facts, and customer context once. MemQ gives the next tool, teammate, or agent the approved memory it needs to continue.
Start with MemQ02
Multinex Shield
Adopt AI without exposing sensitive work.
SHIELD
Give teams AI access with prompt, file, browser, and tool-action boundaries in place before private context reaches an unmanaged workflow.
Control AI risk03
Legion
Get approved agents working together.
LEGION
Give Codex, Gemini, Hermes, OpenClaw, and internal agents shared memory, approval checkpoints, and handoffs your team can review.
Start Legion04
ACO
Convert intent into activated access.
ACO
Move buyers from plan choice to checkout, entitlement, provisioning, and follow-through without losing momentum between systems.
Plan ACO05
Trading workflows
Automate only where the risk is governed.
TRADE
Use memory-backed market workflows with policy limits, evidence, and human review points before an automated trading path touches production.
Review controls06
Hyperframes
Show the MemQ story before the first call.
FRAME
Turn the same buyer proof into reviewable explainers, onboarding clips, and sales assets without drifting from the Multinex brand system.
Watch explainerMemQ explainer review cut · 65 seconds
Let buyers see the memory layer before the first call.
The new cut explains MemQ for anyone using AI systems: durable memory, the Dreamer daemon, namespaces, Airlock VISA, and immediate handoff across tools and teams.
00:00
The reset problem
AI keeps asking for work you already explained.
00:07
Shared memory
MemQ stores the approved facts once.
00:14
Memory layers
Hot, warm, cold, and engine tiers keep context usable.
00:25
Dreamer daemon
Lessons consolidate after the work ends.
00:33
Any-to-any handoff
Codex, Gemini, Hermes, and OpenClaw receive context.
00:42
Namespaces
Team memory stays separated by role and scope.
00:50
Airlock VISA
Sensitive context moves only through explicit boundaries.
00:58
Resume ready
The next teammate starts with the useful state loaded.
Review the buyer explainer
A simple story for why every AI user needs MemQ.
The video opens with a familiar problem, then shows how MemQ turns one approved memory into any-to-any agent context, team handoff, governed namespaces, and safer expansion into the Multinex stack.
Use the same buyer story on the site, sales calls, onboarding, and launch posts.
Keep MemQ explanations consistent across everyday users, dev teams, and enterprises.
Review the MP4 for accuracy before publishing the Cloudflare Stream version.
Why buyers choose MemQ
Not another vector database.A memory layer that keeps AI work moving.
MemQ stores context with the operational state around it: who approved it, where it can move, which agent needs it next, and how the team can resume without starting over.
Capability
MemQ
Mem0
Vector DB
Users stop repeating the same context every session
Agents and teammates receive approved context immediately
Approvals, roles, and handoff history stay attached to the work
Codex, Gemini, Hermes, and OpenClaw work out of the box
Sensitive context is governed before it moves between tools
Memory powers automation, checkout, agents, and operations
Choose the proof pathProve memory first.
Prove memory first.
Roll out the stack when the team is ready.
Start self-serve when the pain is personal or team continuity. Use the rollout path when governance, agents, checkout automation, or trading workflows are part of the business case.
Self-serve proof
Make the next AI session remember.
Connect one tool, save one useful decision, restart, and see the context come back before you ask the team to change behavior.
Prove useful recall in a 14-day trial
34 MCP tools available after setup
Show the first win before expanding the stack
Team rollout
Need AI adoption without operational drift?
Use the demo path when the buyer case spans MemQ, Multinex Shield, Legion, ACO, or risk-governed trading workflow review.
- Turn repeated AI setup into shared team memory.
- Protect prompts, files, browser sessions, and tool calls before broad rollout.
- Coordinate Legion agents without losing operator approval paths.
- Convert buyer intent through cleaner checkout and entitlement handoff.