Authority receipts for learning agent memory

[rpelevin]

Hi maintainers/users - I am testing an authority-before-action receipt pattern for agent memory that learns from prior work.

The narrow question is: before a memory layer updates durable context that will influence future behavior, can the workflow prove the write is authorized, scoped, evidence-backed, and tied to a traceable decision route?

I put a credential-free dry-run benchmark here:

https://github.com/neurarelay/relay-action-card

For this repo, the closest starting path is:

npm run benchmark:agent-authority -- --dry-run --json --source=github_discussion --campaign=agent_authority_week --surface=hindsight_agent_memory_authority

This is not a Hindsight approval, endorsement, integration, partnership, listing, pass, or fail claim. It is a proposed authority-before-action boundary for learning memory updates.

Question for maintainers/users here: is a pre-action authority receipt useful before learning memory updates, or would the better insertion point be somewhere else in the memory lifecycle?