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Parallel analysis lane

[← Source sessions](/audits/fable/key-sessions) · [Transcript archive](/audits/fable/transcripts) · [Executive summary](/audits/fable/findings-summary)
# Parallel analysis lane | Field | Value | | --- | --- | | Session ID | `22a397f5-b1a4-4989-82eb-def564442a1e` | | Lead session | `683bffa0-91b1-44b8-88c6-4ec1e5ba1b9a` | | Record type | Parallel workstream export | :::note[Appendix record] Readable export of a supplementary review session. Tool outputs and system context are omitted; download the [JSONL archive](/audits/fable-chats-4626-2026-06.zip) for the complete log. ::: ## Engagement brief

Saturday, Jun 13, 2026, 3:09 AM (UTC-7) Run the full continual-learning memory update flow for this repository.

Repository root: /home/akitav2/projects/4626 Transcript corpus root: /home/akitav2/.cursor/projects/home-akitav2-projects-4626/agent-transcripts Incremental index file: /home/akitav2/projects/4626/.cursor/hooks/state/continual-learning-index.json Target memory doc: /home/akitav2/projects/4626/AGENTS.md

Hard requirements:

  1. Incremental processing only:
    • Consider only transcripts that are not in the index OR whose current mtime is newer than indexed mtime.
    • Ignore transcripts whose mtime is unchanged from index.
  2. Refresh the index:
    • Update mtimes for processed transcripts.
    • Add entries for newly discovered transcripts.
    • Remove index entries for transcripts that no longer exist.
  3. Update AGENTS.md only for high-signal memory:
    • Include recurring user corrections/preferences and durable workspace facts.
    • Exclude one-off/transient details, ephemeral incidents, and any secrets.
    • Keep edits concise and scoped.
  4. If there are no meaningful high-signal updates, final response must be exactly: No high-signal memory updates.

Please perform the work end-to-end (analysis, file updates, index maintenance) and then return a concise run report with:

  • number of transcripts scanned/processed/skipped
  • whether AGENTS.md changed
  • whether index changed
  • key memory updates added (if any).

Analysis​

Running the incremental continual-learning sweep now: I’ll load AGENTS.md and the current index first, then compute which transcripts are new/changed and only process those before updating both files.

Tools invoked: UpdateCurrentStep, ReadFile, ReadFile

Analysis​

Tools invoked: rg

Analysis​

Tools invoked: ReadFile

Analysis​

Tools invoked: ReadFile

Analysis​

I’ve loaded the memory baseline. Next I’m enumerating transcript files and then diffing them against the stored index mtimes to identify only new/changed transcripts for processing.

Tools invoked: UpdateCurrentStep, Glob, Glob

Analysis​

Tools invoked: Shell

Analysis​

Tools invoked: Shell

Analysis​

Tools invoked: ReadFile

Analysis​

Tools invoked: ReadFile

Analysis​

Tools invoked: Shell

Analysis​

I found only 5 parent transcripts that are new or had updated mtimes; I’m now reviewing just those deltas for durable memory signals before making any edits.

Tools invoked: UpdateCurrentStep, ReadFile, ReadFile, ReadFile, ReadFile, ReadFile

Analysis​

Tools invoked: Shell

Analysis​

Tools invoked: rg

Analysis​

I identified one durable change worth capturing: deploy defaults now target 100M initial deposit (while range remains 50M–100M). I’m updating that single stale AGENTS.md fact and then refreshing the index mtimes for the 5 processed transcripts.

Tools invoked: ApplyPatch

Analysis​

Tools invoked: Shell

Analysis​

Tools invoked: Shell

Analysis​

Tools invoked: rg

Analysis​

Tools invoked: UpdateCurrentStep

Analysis​

  • Transcripts scanned: 612 parent transcripts (subagent transcripts excluded)

  • Transcripts processed: 5 (new or mtime-changed)

  • Transcripts skipped: 607 (unchanged mtime)

  • Index entries removed: 0

  • AGENTS.md changed: Yes

  • Index changed: Yes (5 processed entries refreshed, including 1 newly added transcript path)

  • Key memory update added:

    • Updated the vault deploy invariant note to reflect that the frontend default initial deposit target is now 100M (still clamped to the existing 50M–100M range).