AI infrastructure that remembers, aligns, and protects.
MemQ for shared agent memory. Crosswalk for trusted business meaning. Shield for local AI protection.
Multinex AI builds the operating layer around AI work that cannot afford to lose context, trust the wrong business definition, or leak sensitive data into unmanaged tools.
The current product surface is intentionally focused:
- MemQ keeps approved context available across agents, tools, sessions, and teams.
- Crosswalk aligns CRM, lakehouse, semantic-layer, and operational definitions before AI acts on them.
- Shield classifies and redacts sensitive prompts, files, browser activity, and memory writes before they leave the device.
- Billing Manager handles workspace signup, API keys, subscriptions, entitlements, and product access.
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Shared memory for AI agents. MemQ is the hosted MCP-native memory layer for AI tools that need durable recall, team handoff, retrieval, and checkpoint continuity.
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Business context alignment before AI acts. Crosswalk is the product-preview workflow for mapping business definitions across CRM, lakehouse, semantic models, and AI operations.
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Local AI classifier and prompt guard. Shield inspects prompts, files, browser activity, and MCP tool calls before sensitive data reaches AI providers or shared memory.
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people, teams, IDEs, automations, agents
│
▼
┌──────────────────────────────────────────┐
│ Shield │
│ local classification, redaction, audit │
└──────────────────┬───────────────────────┘
│ protected prompts, files, tool calls
▼
┌──────────────────────────────────────────┐
│ Crosswalk │
│ reviewed business meaning and evidence │
└──────────────────┬───────────────────────┘
│ approved context
▼
┌──────────────────────────────────────────┐
│ MemQ │
│ shared memory, retrieval, checkpoints │
└──────────────────┬───────────────────────┘
│
▼
agents resume with the same protected context
Billing Manager provisions accounts, API keys,
subscriptions, product access, and entitlements.
Operating principles
- Context first — AI work should resume with the right decisions, not restart from scratch.
- Meaning before memory — Business definitions must be reviewed before they become reusable context.
- Protection at the edge — Sensitive prompts, files, and memory writes should be screened locally before exposure.
- Proof over claims — Benchmarks, docs, and runtime checks matter more than generic AI-platform language.
| Need | Start here |
|---|---|
| Connect an MCP client to MemQ | MemQ docs |
| Install MemQ client/plugin surfaces | MemQ editor setup |
| Review Crosswalk product fit | Product preview; start through Billing Manager |
| Review Shield product fit | Shield product page |
| Compare memory behavior | MemQ benchmark repository |
| Try a starter project | memq-mcp-starter |
| Manage account/API keys | Billing Manager |
| Repository | Purpose |
|---|---|
| memq-connect | MCP registry manifest and client setup assets for MemQ |
| memq-mcp | Public MCP-facing MemQ package surface |
| memq-benchmark | Reproducible memory and retrieval benchmark proof |
| memq-mcp-starter | Minimal MCP starter for MemQ-backed agents |
| memq-cursor-claude-starter | Starter workflow for Cursor and Claude-style agent memory |
| memq-team-handoff-starter | Team handoff pattern using shared agent memory |
| memq-n8n-agent-starter | n8n automation starter with MemQ continuity |
| aieges-shield | Public Shield security gateway and AI firewall surface |
| multinex-skills | Skills for MemQ memory, Shield protection, and workflow guidance |
- Create a workspace at billing.multinex.ai/signup.
- Generate a MemQ API key in Billing Manager.
- Connect your MCP client to
https://mcp.multinex.ai/mcp/v1. - Use Crosswalk when AI depends on business definitions that need review.
- Add Shield when prompts, files, tool calls, or memory writes may contain sensitive data.
| Surface | URL |
|---|---|
| Main site | multinex.ai |
| Docs | multinex.ai/docs |
| MemQ | multinex.ai/memq |
| Crosswalk | Product preview |
| Shield | multinex.ai/shield |
| Billing Manager | billing.multinex.ai |
| Status | status.multinex.ai |
Multinex AI · AI infrastructure that remembers, aligns, and protects
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