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Implementation memory handoff gap

Records the mismatch between the source package’s documented UAI startup path and the files actually present, with a concrete repair plan.

Experimental
Last verified
2026-06-25 00:00 UTC
Updated
Reading time
2 minutes

Records the mismatch between the source package’s documented UAI startup path and the files actually present, with a concrete repair plan.

Implementation evidence: this topic is grounded in the reviewed GGUF.MiRust.com source snapshot. It documents observed code and artifacts without claiming broad deployment, model quality, or production readiness.

Documented expectation

The implementation README says UAIX Project Handoff is active through .uai/. AGENTS.md instructs receivers to read startup-packet, system-profile, workspace-guidance, file-handoff, and long-term-memory records under that directory.

Observed archive

The supplied archive contains workspace.uai, wiki sources, raw evidence, and active handoff buckets, but no .uai/ directory or the named startup records.

Risk

An agent following the documented read order encounters missing files and may rely on stale README claims or over-load the workspace record. The long-memory pointer ledger cannot be verified.

Repair gate

  1. Regenerate the typed Project Handoff set at source root.
  2. Create pointer-only .uai/long-term-memory.uai with checksummed routes into wiki/raw files.
  3. Record every active handoff outcome.
  4. Validate package inventory against README and AGENTS routes.
  5. Version and hash the repaired memory package.

MiRust action

The WordPress theme’s own UAI package is updated in 1.5.0 and records this external implementation gap. It does not silently modify the supplied GGUF source archive.

Scope

This starter page defines the questions, boundaries, evidence, and failure modes that should be recorded before a capability is presented as supported.

Engineering considerations

  • Identify the source, version, target environment, and owner.
  • Separate observed values from estimates and externally reported values.
  • Record trade-offs, unsupported cases, and fallback behavior.
  • Link performance statements to a compatible benchmark methodology.

Verification questions

  • What exact artifact, revision, backend, and environment were reviewed?
  • Which assumptions could change the result?
  • Which data should be retained so another engineer can reproduce the conclusion?