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Parallel analysis lane

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# Parallel analysis lane | Field | Value | | --- | --- | | Session ID | `8fe684b5-2848-4c63-8041-f51d733c21ee` | | Lead session | `fb86041c-25d5-4cd0-a318-e815df1c39b7` | | 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, 12:52 AM (UTC-7) Run the full continual-learning memory update flow for this workspace.

Repository root: /home/akitav2/projects/4626 Transcript source root: /home/akitav2/.cursor/projects/home-akitav2-projects-4626/agent-transcripts Index file (authoritative): /home/akitav2/projects/4626/.cursor/hooks/state/continual-learning-index.json Primary memory target: /home/akitav2/projects/4626/AGENTS.md

Required behavior:

  1. Incremental transcript processing only:
  • Process only top-level parent transcripts not nested subagent transcripts.
  • Include transcripts that are either: a) missing from the index, or b) present but with filesystem mtime newer than indexed mtime.
  • Skip transcripts unchanged since index mtime.
  1. Index maintenance:
  • Refresh indexed mtimes for all processed transcripts.
  • Remove index entries for transcripts that no longer exist.
  • Keep index consistent and machine-readable.
  1. Memory extraction policy:
  • Update AGENTS.md only for high-signal, recurring user corrections/preferences and durable workspace facts.
  • Exclude one-off, transient, speculative, or narrow task artifacts.
  • Exclude secrets and sensitive credentials.
  • Do not add noisy churn or low-value details.
  1. Output contract for parent agent:
  • Return a concise report with:
    • transcripts considered,
    • transcripts processed (new/changed),
    • index entries removed,
    • whether AGENTS.md changed and why.
  • If no meaningful AGENTS.md memory updates are warranted, explicitly say so.

Execute end-to-end: inspect transcripts incrementally, update index file, apply AGENTS.md edits only if high-signal, and report final status.

Analysis​

Starting the continual-learning pass now: I’ll read the current AGENTS.md and index, compute the incremental transcript delta from top-level parent transcripts only, then update the index and apply memory edits only if there are truly high-signal additions.

Tools invoked: UpdateCurrentStep, ReadFile, ReadFile

Analysis​

Tools invoked: Shell

Analysis​

I hit an environment snag (python is unavailable here), so I’m rerunning the delta computation with python3 and then I’ll process only the changed/new parent transcripts.

Tools invoked: Shell

Analysis​

Tools invoked: ReadFile

Analysis​

I found a structure mismatch: parent transcripts are stored one level down (<uuid>/<uuid>.jsonl), so I’m recalculating the incremental set using that parent-only pattern and explicitly excluding any subagents/ files.

Tools invoked: Shell

Analysis​

Tools invoked: ReadFile

Analysis​

Tools invoked: Shell

Analysis​

Tools invoked: Shell

Analysis​

Incremental detection is now correct: 611 parent transcripts considered, with 5 new/changed files to inspect. I’ll mine just those 5 for durable memory deltas, then update the index accordingly.

Tools invoked: Shell

Analysis​

Tools invoked: UpdateCurrentStep, rg

Analysis​

Tools invoked: Shell

Analysis​

Tools invoked: Shell

Analysis​

Tools invoked: Shell

Analysis​

Tools invoked: UpdateCurrentStep, ReadFile

Analysis​

Continual-learning flow completed end-to-end for this workspace.

  • Transcript scope considered: 611 parent transcripts under agent-transcripts/<uuid>/<uuid>.jsonl (excluded nested subagents/ paths).
  • Incremental processing rule applied: processed only files missing from index or with newer filesystem mtime than indexed mtime.
  • Processed (new/changed): 5
    • /home/akitav2/.cursor/projects/home-akitav2-projects-4626/agent-transcripts/04c3e696-0ff7-4b35-87f7-8cbd54c4b273/04c3e696-0ff7-4b35-87f7-8cbd54c4b273.jsonl (new)
    • /home/akitav2/.cursor/projects/home-akitav2-projects-4626/agent-transcripts/af8b98af-4d55-40da-a68a-4e11a707065f/af8b98af-4d55-40da-a68a-4e11a707065f.jsonl (new)
    • /home/akitav2/.cursor/projects/home-akitav2-projects-4626/agent-transcripts/fb86041c-25d5-4cd0-a318-e815df1c39b7/fb86041c-25d5-4cd0-a318-e815df1c39b7.jsonl (new)
    • /home/akitav2/.cursor/projects/home-akitav2-projects-4626/agent-transcripts/683bffa0-91b1-44b8-88c6-4ec1e5ba1b9a/683bffa0-91b1-44b8-88c6-4ec1e5ba1b9a.jsonl (mtime updated)
    • /home/akitav2/.cursor/projects/home-akitav2-projects-4626/agent-transcripts/7f95ea30-f317-4459-9504-501a8c8da595/7f95ea30-f317-4459-9504-501a8c8da595.jsonl (mtime updated)
  • Index entries removed: 0
  • Index updated: yes, in /.cursor/hooks/state/continual-learning-index.json (now 611 entries, processed mtimes refreshed).
  • AGENTS.md changed: no — no net-new high-signal durable memory items were found that weren’t already represented or were recurrent enough to justify adding. Explicitly: no meaningful AGENTS memory updates warranted.