Overview
MemQ is persistent memory for AI agents and teams. It helps agents remember project context, prior decisions, and reusable lessons across sessions while keeping access governed by identity, API keys, and workspace boundaries.
Buyer-ready overview
This guide explains what the product does, when to use it, and how it helps your team adopt AI with clearer memory, security, and control.
How it works for your team
MemoryEngine
HOT<1msRedis
WARM~10msVector Index
COLD~50msGraph Mirror
Reflective Loop
↩ Write-Back
Operating Model
- Remember: approved memories and checkpoints persist beyond a single agent session.
- Recall: agents retrieve scoped context so teams stop rebuilding the same background repeatedly.
- Govern: namespace, plan, and account boundaries determine what memory can be read or written.
- Measure: teams can see usage, setup status, and readiness without exposing implementation details.