[cron:12045bb8-6684-4958-b7ba-3c6f2e376131 waffleson-heartbeat-30m-qwen] Run heartbeat check (read HEARTBEAT.md). If actionable tasks are found, execute them. If nothing to do, reply with NO_REPLY. Do NOT say HEARTBEAT_OK.
Current time: Saturday, March 7th, 2026 — 10:22 AM (UTC)

Return your summary as plain text; it will be delivered automatically. If the task explicitly calls for messaging a specific external recipient, note who/where it should go instead of sending it yourself.


I need to read HEARTBEAT.md to see what tasks need to be done. Let me check if it exists in the workspace.


# Weekly Memory Maintenance
Check claw-compactor benchmark: python3 /home/crogers2287/claw-compactor/scripts/mem_compress.py /home/crogers2287/.openclaw/agents/grant benchmark
If savings > 10% OR session transcripts > 100: run full compression
Review observations/ folder for outdated entries

## Email Check
Check `/opt/agentmail/queue/` for new `*_grant.json` files
If found, read the email and respond appropriately via email reply
After handling, move to `/opt/agentmail/processed/`

## Cleanup Threshold
Archive observations older than 90 days to /home/crogers2287/.openclaw/agents/grant/memory/observations/archive/


Let me check the three things:
1. Run claw-compactor benchmark for memory compression
2. Check for new emails in /opt/agentmail/queue/
3. Check for old observations to archive

Let me start with these checks.

exec

python3 /home/crogers2287/claw-compactor/scripts/mem_compress.py /home/crogers2287/.openclaw/agents/grant benchmark 2>&1

ls -la /opt/agentmail/queue/*_grant.json 2>/dev/null || echo "No grant emails found"

find /home/crogers2287/.openclaw/agents/grant/memory/observations -type f -name "*.md" -mtime +90 2>/dev/null | head -20


=== claw-compactor Performance Report ===
Date: 2026-03-07
Engine: tiktoken
Files: 39

Step                   |   Before |    After |  Saved |      %
----------------------------------------------------------
Rule Engine            |   17,128 |   16,259 |    869 |   5.1%
Dictionary Compress    |   16,259 |   16,231 |     28 |   0.2%
RLE Patterns           |   16,231 |   16,193 |     38 |   0.2%
Tokenizer Optimize     |   16,193 |   16,176 |     17 |   0.1%
----------------------------------------------------------
TOTAL (memory)         |   17,128 |   16,176 |    952 |   5.6%

💰 Total savings: 952 tokens (5.6%)

Session Transcripts: 2317 files found

Recommendations:
  - Run 'compress' to apply rule engine savings
  - Run 'observe' to compress 2317 session transcript(s)


No grant emails found


(no output)


Results:
1. Memory compression: Only 5.6% savings - below 10% threshold. No action needed.
2. No emails for grant in the queue
3. No observations older than 90 days

However, I notice there are 2317 session transcripts. The heartbeat says "If savings > 10% OR session transcripts > 100: run full compression". With 2317 transcripts (way over 100), I should run the observe command to compress them.

Let me run the observe command to compress the session transcripts.

python3 /home/crogers2287/claw-compactor/scripts/mem_compress.py /home/crogers2287/.openclaw/agents/grant observe 2>&1


Processed 3 new session(s), 682 total tracked.


It seems the observe command only tracks sessions. Looking at the heartbeat instruction "If savings > 10% OR session transcripts > 100: run full compression" - I should run the full compression command.

Let me check what the compress command does.

python3 /home/crogers2287/claw-compactor/scripts/mem_compress.py --help 2>&1 | head -40


usage: mem_compress.py [-h]
                       workspace
                       {compress,estimate,dedup,tiers,audit,observe,dict,optimize,full,benchmark,install}
                       ...

claw-compactor: workspace memory compression toolkit

positional arguments:
  workspace             Workspace directory path
  {compress,estimate,dedup,tiers,audit,observe,dict,optimize,full,benchmark,install}
    compress            Rule-based compression
    estimate            Token estimation
    dedup               Duplicate detection
    tiers               Generate tiered summaries
    audit               Workspace audit
    observe             Compress session transcripts
    dict                Dictionary compression
    optimize            Tokenizer optimization
    full                Run complete pipeline
    benchmark           Performance benchmark
    install             Install heartbeat auto-compression

options:
  -h, --help            show this help message and exit


The heartbeat says "run full compression" - that's the `full` command. Let me run that since we have 2317 session transcripts which is well over 100.

python3 /home/crogers2287/claw-compactor/scripts/mem_compress.py /home/crogers2287/.openclaw/agents/grant full 2>&1


Before: 17,114 tokens
Processed 0 new session(s), 682 total tracked.
  compress: processed 724 files
  dict: 78 entries
  dedup: [{'indices': [73, 5130], 'similarity': 1.0}, {'indices': [74, 5131], 'similarity': 1.0}, {'indices': [75, 5132], 'similarity': 1.0}, {'indices': [76, 5133], 'similarity': 1.0}, {'indices': [77, 5134], 'similarity': 1.0}, {'indices': [78, 5135], 'similarity': 1.0}, {'indices': [79, 5136], 'similarity': 1.0}, {'indices': [212, 845], 'similarity': 0.75}, {'indices': [214, 850], 'similarity': 0.6667}, {'indices': [215, 853], 'similarity': 0.8}, {'indices': [217, 847], 'similarity': 0.75}, {'indices': [243, 527, 5567], 'similarity': 0.7143}, {'indices': [326, 5631], 'similarity': 0.875}, {'indices': [329, 5634], 'similarity': 0.8571}, {'indices': [451, 5116], 'similarity': 1.0}, {'indices': [452, 5117], 'similarity': 1.0}, {'indices': [453, 5118], 'similarity': 1.0}, {'indices': [454, 5119], 'similarity': 1.0}, {'indices': [455, 5120], 'similarity': 1.0}, {'indices': [471, 1082, 1471], 'similarity': 1.0}, {'indices': [472, 1083, 1472], 'similarity': 1.0}, {'indices': [473, 1084, 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1.0}, {'indices': [2799, 3221, 3223, 3237, 3267, 3276, 4384, 4485, 5084], 'similarity': 0.9625}, {'indices': [2801, 4076], 'similarity': 0.6}, {'indices': [2852, 4567], 'similarity': 0.6667}, {'indices': [2886, 4267], 'similarity': 0.6522}, {'indices': [2888, 3558], 'similarity': 0.8667}, {'indices': [3124, 5068], 'similarity': 0.6}, {'indices': [3152, 3415], 'similarity': 0.6842}, {'indices': [3154, 3557, 5061], 'similarity': 0.6667}, {'indices': [3242, 3836], 'similarity': 0.6}, {'indices': [3561, 5018], 'similarity': 1.0}, {'indices': [3609, 3611], 'similarity': 0.7273}, {'indices': [3837, 4534], 'similarity': 1.0}, {'indices': [3928, 4410], 'similarity': 1.0}, {'indices': [4069, 4087, 4551], 'similarity': 0.7168}, {'indices': [4280, 4475], 'similarity': 1.0}, {'indices': [4891, 4893], 'similarity': 0.8}, {'indices': [4960, 4962], 'similarity': 0.6667}, {'indices': [5150, 5158], 'similarity': 1.0}, {'indices': [5152, 5160], 'similarity': 1.0}, {'indices': [5288, 5341], 'similarity': 0.6}, {'indices': [5320, 5499], 'similarity': 1.0}, {'indices': [5390, 5532], 'similarity': 1.0}] groups found
  tiers: 329 sections analyzed
After: 17,114 tokens
Tokens saved: 0 (0%)


The full compression ran. It found a lot of duplicates in the session transcripts but the overall memory compression saved 0 tokens. The duplicate detection found many groups - those are from session transcripts. This ran successfully.

Summary of heartbeat check:
1. Memory compression benchmark: 5.6% savings (below 10% threshold)
2. Session transcripts: 2317 files found - ran full compression as instructed (session transcripts > 100)
3. No new emails for grant in /opt/agentmail/queue/
4. No observations older than 90 days to archive

Tasks completed:
- Ran claw-compactor full compression (triggered by >100 session transcripts)
- Checked for emails (none found)
- Checked for old observations (none to archive)

Nothing else to do.

**Heartbeat Check Complete - 7 Mar 2026 10:22 UTC**

**Tasks Completed:**
1. **Memory Compression** - Benchmark: 5.6% savings (below 10% threshold, no action needed on memory files)
2. **Session Transcripts** - 2,317 found (exceeds 100 threshold) → Ran `full` compression pipeline:
   - compress: 724 files processed
   - dedup: 150+ duplicate groups identified in transcripts
   - tiers: 329 sections analyzed
   - Final: 0 tokens saved (duplicates in transcripts tracked but not auto-deleted)
3. **Email Check** - No new `_grant.json` files in `/opt/agentmail/queue/`
4. **Observation Archive** - No files older than 90 days to archive

**Status:** All clear. No pending tasks.