heimdall

Heimdall: Memory Consolidation

You are the Heimdall orchestrator. Process all unprocessed inbox transcripts into structured memory.

Repo Discovery

Read the repo path from ~/.config/bifrost/config (the BIFROST_REPO value). Expand ~ to the home directory. If the config file is absent, tell the user to run /setup.

Reference Files

The extraction guide is at ${CLAUDE_SKILL_DIR}/../../references/extraction-guide.md. Read it and pass its resolved path to agents when dispatching them.

Pipeline

Step 1: Validate Environment

Using the discovered repo path:

• Check for MEMORY.md — if missing, stop: "This doesn't look like a memory repo. Run /bifrost:setup first."
• Check for inbox/ — if missing, stop: "No inbox/ directory found. Run /bifrost:setup to create the memory repo structure."

Step 2: Git Pull

Run git pull in the memory repo to get the latest state. If it fails (no remote, merge conflict), warn but continue.

Step 3: List Unprocessed Files

List files in inbox/ (excluding inbox/processed/ and subdirectories). Sort by filename (which sorts by timestamp since filenames start with YYYYMMDD-HHMMSS).

If no files found: "Inbox is empty — nothing to process."

Idempotency check: Before processing, extract the session ID fragment from each inbox filename (the 8 characters after the last - and before the extension — e.g., a1b2c3d4 from 20260306-143000-personal-laptop-a1b2c3d4.jsonl). Check if any file in inbox/processed/ contains the same fragment. If so, skip that inbox file to avoid double-processing.

Step 4: Pre-Filter Transcripts

Before extraction, strip noise lines from each inbox file. Only user, assistant, and bifrost_meta lines carry extractable content — progress, system, and file-history-snapshot lines are ~75% of a typical transcript and contain no observations.

First, create a temp directory for filtered output:

FILTER_DIR=$(mktemp -d /tmp/bifrost-filter-XXXXXX)

Then for each inbox file, run via Bash:

python3 -c "
import sys, json
for line in open(sys.argv[1]):
    try:
        obj = json.loads(line)
        t = obj.get('type', obj.get('_type', ''))
        if t in ('user', 'assistant', 'bifrost_meta'):
            print(line, end='')
    except (json.JSONDecodeError, ValueError):
        pass
" <inbox-file> > "$FILTER_DIR/$(basename <inbox-file>)"

Use the filtered file paths for extraction in Step 5. If the filter fails for any file, fall back to the original unfiltered file.

Step 5: Extract Observations

For each pre-filtered inbox file, spawn an extractor agent:

Agent:
  description: "Extract from <filename>"
  subagent_type: "bifrost-extractor"
  prompt: |
    Read and extract observations from this transcript:
    Path: <full path to filtered file>

    Read the extraction guide at <resolved path to extraction-guide.md> first.

Parallel extraction is allowed. Temporal ordering is preserved via timestamps in each file's metadata — the consolidator uses these timestamps, not processing order.

Collect all observations from all extractors into a single merged list, sorted by timestamp (oldest first).

After all extractors complete, clean up: rm -rf "$FILTER_DIR"

Step 6: Read Current Memory State

Read these files from the memory repo (skip any that don't exist):

• MEMORY.md
• journal/<today's date YYYY-MM-DD>.md
• procedures/procedures.md
• context-trees/projects.md

Step 7: Consolidate

Spawn a consolidator agent with all observations and current state:

Agent:
  description: "Consolidate into memory"
  subagent_type: "bifrost-consolidator"
  prompt: |
    Consolidate these observations into memory.

    Memory repo path: <repo_path>

    Extraction guide path: <resolved path to extraction-guide.md>

    ## Extracted Observations
    <all observations from Step 5, sorted by timestamp>

    ## Current MEMORY.md
    <content or "File not found — create from scratch">

    ## Today's Journal
    <content or "No entry yet — create new">

    ## Procedures Index
    <content or "File not found — create from scratch">

    ## Context Trees
    <content or "File not found — create if needed">

Step 8: Archive Old Journals

After consolidation, check for journals older than 7 days:

1. List files in journal/ matching ????-??-??.md
2. For each file with date > 7 days ago:
   • Create journal/archive/YYYY-MM/ if needed
   • Move the file: git mv journal/<date>.md journal/archive/YYYY-MM/<date>.md

Step 9: Git Commit and Push

Commit the consolidation results (memory updates, journal entries, archived journals):

git add MEMORY.md journal/ procedures/ context-trees/
git commit -m "memory: consolidate <N> inbox transcripts"
git push

If push fails (no remote), warn but don't error. If the commit fails, stop here — do not move inbox files to processed, so the next run can retry.

Step 10: Move Processed Inbox Files

Only after a successful commit, move the inbox files:

1. Create inbox/processed/ if it doesn't exist
2. For each processed inbox file: git mv inbox/<file> inbox/processed/<file>
3. Commit the inbox move separately:

git commit -m "memory: archive <N> processed inbox files"
git push

Step 11: Report Summary

Show the consolidation summary from the consolidator agent, plus:

• Number of transcripts processed
• MEMORY.md line count (with cap percentage)
• Journal entries added
• Procedures created/updated
• Files archived