Make long-term AI memory accountable.
Persistent AI memory can carry an incorrect, outdated, or mis-scoped fact into future sessions where it quietly affects new work.
Memory Consistency stores durable key/value facts in named spaces and checks later pasted session content for explicit value conflicts.
BUILT FOR
Users of persistent AI assistants, long-running projects, agents, and workflows that carry facts across sessions.
WHAT YOU CAN DO
• Create named memory spaces
• Store durable key/value facts
• Paste later-session AI output
• Detect explicit value conflicts
• Record checks in the shared audit trail
• Route high-risk conflicts to review
SUBSCRIPTION
Live use requires an active auto-renewing Google Play subscription. Monthly and annual plans, when available for your country and account, show the localized charge and billing period before purchase. Your selected plan renews automatically at the end of each billing period unless you cancel it in Google Play before renewal. You can manage or cancel it in Google Play. Any guided demonstration uses sample data only; it is not free production use.
PART OF THE AI RELIABILITY FAMILY
Memory Consistency extends Conversation Anchor across sessions. Conversation Anchor protects the current project's pinned facts; Memory Consistency protects what survives into future sessions. AI Drift Guard can consume both signals.
Works especially well with: Conversation Anchor, AI Drift Guard, Instruction Monitor, AI Work Audit.
WHY THE FAMILY MATTERS
Each AI Reliability app solves one narrow reliability problem well. Use only the tool you need, or combine several modules through the AI Reliability Suite for shared projects, broader checks, human review, policy routing, and one audit trail.
RELIABILITY BOUNDARY
This product surfaces specific reliability signals based on the information available to it. It does not guarantee that every AI output is correct, safe, current, or legally compliant. High-risk findings should be reviewed when the stakes matter.
PRIVACY
The family is designed around scoped access, explicit user actions, app-specific notifications, account deletion controls, and evidence-aware processing.
Start with one focused reliability tool. Expand into the family only when you need more coverage.
Check AI memory across sessions for explicit value conflicts.