Every agent forgets.
Every surface leaks.
Not yours.

MemQ is global shared intelligence for AI agents — persistent memory that compounds knowledge across every session, every tool, every teammate. Aieges Shield watches every surface for threats your stack can't see yet.

Give Your Agents MemoryActivate Aieges Shield
Aieges: multi-surface detection
MemQ: <50ms shared recall
Agent-native architecture
Zero config · Live in 2 min

Free tier available · No credit card to start · Cancel anytime

The Invisible Threat

Right now, your data is walking
out the door.

Every time an employee pastes client data into ChatGPT, uploads documents to Claude, or shares code with Copilot — that data leaves your perimeter. Permanently.

$4.45M

Average breach cost

IBM Cost of Data Breach 2026

≈ $37 per employee per year in undetected AI risk

277 days

To detect a breach

IBM Security Research

That's 9 months of silent data loss before you know

83%

Involve human element

Verizon DBIR 2026

Your team is the attack surface — not your firewall

No Identity

Agents act on your infrastructure without traceable human operators or verifiable cryptographic credentials.

→ You can't attribute actions to people — meaning zero accountability when something goes wrong.

No Guardrails

Adversarial prompts and hijacked tools bypass application-level policy controls and exfiltrate data.

→ A single jailbreak prompt can extract your entire knowledge base in one session.

No Audit Trail

Enterprises cannot definitively prove what an autonomous agent actually did inside the environment.

→ When the auditor asks 'what happened?' — you have no evidence. Just trust.

Shield — The Fix

First interception in 30 seconds.

Not after the next quarterly audit.

365+ threat signatures — prompt injection, PII, jailbreaks, malware
Sub-4ms inline classification — zero latency excuse
Immutable audit ledger — pass your next compliance review
Request AccessHow Shield Works

Security stops the bleeding. Memory is what makes agents worth deploying.

Now that your edge is secure — give your agents a brain that compounds.

Shield protects what leaves. MemQ ensures agents remember what they learned — across sessions, deploys, and teammates. One MCP endpoint. Zero config. Free tier.

Try MemQ Free
Why MemQ Works

Your AI assistant has goldfish memory.
MemQ fixes that.

Traditional AI memory is either all-or-nothing. MemQ uses Quantum Entropic Sampling — a technique that measures which memories are actually valuable and keeps only the ones that make your AI smarter. No bloat, no forgetting what matters.

2 min

to first memory stored

Works in Two Minutes, No Setup

Without: Manual SDK installs, database provisioning, DevOps tickets

With MemQ: One JSON config block. Done.

Add one MCP config block to Claude, Cursor, or any AI tool. That's it — you're done. No hosted infra, no database credentials, no DevOps.

↳ Single MCP server entry — no SDKs, no schema migrations, no embedding pipeline to manage

17× more relevant

vs. naive FIFO recall

Your AI Remembers What Actually Matters

Without: Every chat starts from scratch — context lost on close

With MemQ: AI retains the important decisions and patterns automatically

Most AI tools forget everything the moment you close a chat. MemQ makes your AI keep the right memories — not just the most recent ones.

↳ Entropy-weighted selection prioritises high-information memories over recency bias

<50ms

avg. retrieval latency

Find Anything in Under 50ms

Without: 'I don't have context for that' — over and over

With MemQ: Instant answers from your full project history

Ask your AI 'what did we decide about the auth system last sprint?' and it answers instantly — not 'I don't have context for that.'

↳ HNSW graph traversal with cosine similarity across 10M+ vector embeddings

∞

session persistence

Memory That Survives Across Sessions

Without: Re-explaining your codebase every Monday morning

With MemQ: Pick up exactly where you left off — even weeks later

Start a Claude session today, add your architecture notes, come back in two weeks — your AI still knows them. No re-explaining. No copy-pasting. Just continues.

↳ Persistent vector + graph storage across HOT, WARM, and COLD memory tiers

Auto

pruning & tuning

Gets Better the More You Use It

Without: Static prompts that never improve

With MemQ: Memory that sharpens automatically over time

The system learns which memories are actually useful based on how often they're retrieved. Dead context gets pruned automatically — your AI gets sharper over time, not slower.

↳ Entropy-based decay curves with automatic cold-tier archiving and reflection consolidation

Zero

manual context prep

Smarter Than Copy-Paste Context

Without: Manually pasting background info into every prompt

With MemQ: Right context surfaced automatically — zero prompt engineering

Instead of manually pasting background info into every prompt, MemQ automatically surfaces the right context — like having a smart assistant who already knows your project.

↳ Adaptive context injection via MCP tool calls, no prompt engineering required

Free tier live now — card only required for the paid trial

✦ Only 127 Pro trial slots remaining

Start with MemQ FreeFull MemQ Docs
The Three-Tier Cascade

Every unmonitored AI interaction is a data leak you haven't found yet.

Shield intercepts and classifies at wire speed — so your team sees the first blocked threat in under 30 seconds, not after the next audit.

1. The exposure point

Multinex Shield
SYSTEM PROTECTIONACTIVE & SCANNING
14PROMPTS
2BLOCKED
<1msLATENCY

Every unmonitored prompt is IP walking out the door.

Your employees are already sending data to AI providers. The question isn't whether — it's what's leaving unscanned.

Employee promptsBrowser uploadsInternal copilotsMCP tool calls

2. Shield intercepts

Stop threats before they leave.

Multinex logo
Live Trace
THREAT CASCADEINTERCEPTING
REAL-TIME THREATS
Prompt injection detectedBLOCKED
PII exfiltration attemptREDACTED
Deep pattern analysisSCANNING

See your first interception in 30 seconds — not after the next quarterly audit.

365+ deterministic threat signatures. Aho-Corasick at wire speed. No probabilistic guessing. No cloud round-trips.

3. Approved model layer

Your team keeps the tools they love — security never forces a workaround.

Shield sits inline between users and models. No custom SDKs, no new endpoints, no retraining.

OpenAIAnthropicGeminiPrivate LLMs

4. Audit-ready evidence

14:23:01PII redactionPASS
14:23:02Prompt injectionBLOCK
14:23:04Policy compliancePASS

Every interception writes an immutable ledger entry your compliance, legal, and security teams audit without reconstruction.

Inline inspection before transmit
No workflow retraining required
Audit-ready evidence for every interaction

Why Shield

Shield is the enforcement point between sensitive enterprise traffic and external AI systems — not another prompt wrapper.

View Shield ProductFull Architecture
Product Stack

Three products. One governed AI platform.

Start with Shield to secure the edge today. Add MemQ to give agents compounding memory. Request early access to Legion for full runtime governance. Deploy standalone or as a unified platform — same operating model throughout.

Shield — Threat DashboardShield — ArchitectureShield — MITM ProtectionShield — Advantage
Live · Secure the edge

Multinex Shield

AI Security Platform

Stop prompt injection, jailbreaks, and sensitive data leakage before they reach your models — at the browser edge, in real time. No workflow changes. No rip-and-replace. Results in your first week.

  • Blocks prompt injection, jailbreaks & PII leakage
  • 365+ threat signatures, updated continuously
  • Zero-friction browser extension — live in minutes
Live Threat Cascade
Prompt InjectionBLOCKED
PII ExfiltrationREDACTED
Jailbreak AttemptBLOCKED

365+ active signatures · Aho-Corasick at wire speed

Request AccessView Audit Trail
Legion — governed AI agent runtime with Airlock-VISA identity
Upcoming · Request early access

Multinex Legion

AI Agent Runtime

Governed AI agent orchestration with Airlock-VISA identity, signed trust boundaries, and MemQ-backed memory. Move from prompt security into full runtime control — every agent runs inside a verifiable execution contract.

  • Signed trust boundaries per agent identity
  • DAG-based task decomposition & audit trail
  • MemQ-backed sovereign memory built-in

5 stages

Core execution abstraction

Agent Logic → ADK → Policy Engine → LLM Router → Backend Model, telemetry at every stage

Request Demo
Live · AI Memory Infrastructure

Multinex MemQ

Your AI agents' memory shouldn't reset every session. MemQ gives every agent persistent, searchable memory that compounds across sessions, deploys, and teammates — through a single MCP endpoint.

One JSON snippet in your editor config. Zero SDK. Zero config ritual. Your LLM auto-discovers 22 memory tools on connect. Free tier. Live in under 2 minutes.

< 50ms recall

HOT-layer instant retrieval

22 memory tools

Auto-discovered via MCP

Team knowledge plane

One namespace, whole fleet

Sovereign infrastructure

Private by default

Start Free — 2 min to runningView Plans & Pricing
Deploy any product standalone — no lock-in to the full stack
Combine as your AI footprint grows — same trust model throughout
Audit evidence and accountability intact across every layer
Proof & Compliance

Every claim is artifact-backed. Every audit is ready.

Real benchmarks from our public harness. Built for regulated industries. No fabricated stats, no fake logos, no unverifiable claims.

SOC2

Security Controls

HIPAA

Healthcare Data

GDPR

Data Privacy

EU AI Act

AI Governance

1.2ms

Gateway Verification p99

Published whitepaper target for Visa verification and routing

365+

Threat Signatures

Pattern coverage across extension and gateway surfaces

3/3

MemQ Smoke Tests

Deterministic benchmark harness — baselines scored 0/3

6

MCP Gateway Tools

Public, typed memory operations behind one endpoint

How We Build

Transparent by default. Auditable by design.

  • Published benchmark with open reproducible metrics
  • Shield malware disclosure with controlled proof-of-concept
  • Architecture diagrams for every product component
  • Open deterministic policy engine — no black-box classifiers
  • End-to-end encryption for all data in transit and at rest
  • Air-gapped deployment options for maximum security
View on GitHubExplore Benchmarks
Environmental Impact

The Hidden Cost of Forgetting

Every time an AI agent loses context, it burns GPU cycles reprocessing the same data. Persistent memory doesn't just save time — it saves the planet.

Without Persistent Memory

Standard AI Agent Deployment

73%Redundant Tokens

Re-injected context every session

4.3 kWhPer Session

GPU cycles wasted on reprocessing

12 tonsCO₂ / Year

Per enterprise AI deployment

73% waste

With MemQ

Persistent Sovereign Memory

92%+Context Recall

Zero re-injection needed

0.4 kWhPer Session

91% energy reduction

10+ tonsCO₂ Saved / Year

Per deployment eliminated

91% efficient

Every 1,000 MemQ agents save the equivalent of planting 847 trees per year

By eliminating redundant context reprocessing, MemQ reduces GPU compute hours by 91% — turning wasted energy into environmental impact.

Learn More

Estimates based on average enterprise LLM deployment metrics. Actual savings vary by workload configuration.

Get Started

Every day without coverage is a day
your data walks out the door.

Two paths. Same platform. Pick the one that fits how you buy.

Self-Serve · Start Free

Start building in 2 minutes.

MemQ is live with a real free tier and a paid trial that starts only after you add a card. Shield is in final rollout and currently available by requesting access, not self-serve checkout.

Live in under 2 minutes
22 memory tools auto-discovered
365+ threat signatures active
Start with MemQ — FreeRequest Access

Free tier live now · Card only required for the paid trial · Cancel anytime

Enterprise · Talk to Engineering

Need a custom deployment?

Talk directly with our engineering team — not sales. Get custom architecture reviews, air-gapped deployment blueprints, and direct influence on our roadmap.

Multinex AI
  • Custom architecture review for your stack
  • Priority feature influence on roadmap
  • Direct access to engineering — not sales
  • Air-gapped deployment blueprints

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