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Memory Launch Assets

This page is the release-ready GTM packet for the Memory product launch.

Launch page copy (v1)​

Hero​

Headline: Ship memory your agents can trust.

Subhead: ValkyrAI Memory gives teams durable context with explicit retention controls, deletion APIs, and audit visibility so AI workflows stay useful, compliant, and explainable.

Primary CTA: Start building with Memory

Secondary CTA: Read retention + deletion policy

Value pillars​

  • Durable context, not hidden state — queryable memory entries with scoped access controls.
  • Retention by design — policy-driven pruning with traceable outcomes.
  • Operator visibility — export, clear, and audit paths for incident response and compliance.

Pricing copy (launch)​

  • Starter — $0/mo
    • Up to 10k memory entries
    • 7-day retention default
    • Basic query + clear APIs
  • Growth — $99/mo
    • Up to 250k memory entries
    • Policy-based retention windows
    • Export + audit filters
  • Enterprise — contact sales
    • Dedicated tenancy and custom retention policy
    • Compliance support + guided rollout
    • SLA + priority support

Notes: pricing is launch copy draft for review; final billing tables should mirror product-config values before publication.

FAQ (retention / deletion / training policy)​

How long is memory retained?​

Retention is policy-driven. Teams can set default windows per environment and apply targeted pruning to clear stale entries while preserving required audit records.

Can we delete specific memory entries on demand?​

Yes. Memory supports scoped clear operations and export-first workflows so teams can remove entries by filter while preserving operator traceability.

Is customer memory used to train foundation models?​

No by default. Customer memory is used for product runtime behavior only. Training usage requires explicit opt-in policy and contract terms.

How do we prove a deletion request was handled?​

Run export + clear using the same filter set, then retain the resulting operation metadata in your audit trail.

Can retention rules differ by tenant?​

Yes. Retention policy can be tuned by environment/tenant profile to meet legal and operational requirements.

Launch announcement draft​

Subject: Introducing ValkyrAI Memory: durable context with retention controls

Today we’re launching ValkyrAI Memory, a production-ready memory layer for agent workflows.

What ships today:

  • Policy-based retention and pruning
  • Clear/export controls for operator-led deletion workflows
  • Audit-friendly behavior for compliance reviews

Why this matters:

  • Agents stay context-aware across sessions
  • Teams keep control over what is retained and for how long
  • Operations can verify outcomes quickly during support and incident response

If you’re already running ValkyrAI, Memory is designed to drop into existing workflow patterns with minimal friction.

➡️ Start with the Memory launch guide and retention policy docs.

Traceability​

  • Linked epic: #624
  • Delivery ticket: #631