type: custom

customType: model-snapshot

provider: zai

modelApi: openai-completions


type: message

role: user

type: text

text:
[cron:3d89eb8d-0ad8-43f7-9556-d5d25d714863 main-todo-check-4am] Cron nudge: Read TODO.md. If there are pending tasks, resume the Build → Test → Log → Decide loop. If all tasks are complete or blocked, report status and sleep.
Current time: Saturday, March 7th, 2026 — 9:00 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.


role: assistant

type: thinking

thinking: I need to read TODO.md to check for pending tasks. The cron is asking me to resume the Build → Test → Log → Decide loop if there are pending tasks, or report status if all tasks are complete or blocked.

read

type: toolCall

api: openai-completions

stopReason: toolUse


role: toolResult

toolName: read

text:
## TODO
No actionable items found.

---
Last updated: 2026-02-01
Source: ash-permits cron (30-min interval)


thinking:
TODO.md shows no actionable items. The file was last updated on 2026-02-01, so it's quite old (over a month old now - current time is March 7, 2026).

Let me also check the memory files and TASKS.md if it exists, to see if there's anything pending.


text:
# TASKS.md - Ash Enterprises AI Systems

## Status Legend
- pending: Not started, active: In progress, done: Complete
- blocked: Waiting on dependency

---

## Phase 1: Foundation (build first) COMPLETE
| T1 | Security Layer | done | none | Prompt injection defense, secret redaction, BEC protection |
| T2 | Cron Automation | done | none | Job scheduling, wrapper script, failure detection |
| T3 | Memory System | done | none | File-based memory, daily notes, synthesis |
| T4 | Logging Infrastructure | done | none | JSONL event logs, unified viewer, rotation |
| T5 | Backup/Recovery | done | none | Encrypted backups, git sync, integrity drills |

## Phase 2: Core Systems COMPLETE
| T6 | Notification Priority Queue | done | T2, T4 | Three tiers, batched delivery |
| T7 | Knowledge Base (RAG) | done | T3, T4 | Project docs, specs, permits, contracts |
| T8 | CRM | done | T1, T3 | Clients, subs, inspectors, city contacts |

## Phase 3: Intelligence Layer COMPLETE
| T9 | Business Intelligence Council | done | T7, T8 | Nightly analysis, expert personas |
| T10 | Inbound Lead/Sales Email | done | T1, T8 | Bid requests, RFPs, scoring rubric |
| T11 | Self-Improvement Systems | done | T3, T4 | Learnings, error patterns, review councils |

## Current Sprint
All phases complete. Ready for integration testing and deployment.

## Notes
Project directory: /home/crogers2287/ash-ai-tools
All systems use SQLite + JSONL for local-first storage
Each system gets its own subdirectory with clear boundaries
CLI tools for manual interaction
Cron jobs for automation


text:
# 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/


thinking:
Looking at TASKS.md, all phases are complete. Let me check the HEARTBEAT.md requirements:

1. **Weekly Memory Maintenance** - Check claw-compactor benchmark
2. **Email Check** - Check `/opt/agentmail/queue/` for new grant emails
3. **Cleanup Threshold** - Archive old observations

Let me check the email queue and then run the benchmark check.

exec

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

command: du -sh /home/crogers2287/.openclaw/agents/grant/memory/ 2>/dev/null && find /home/crogers2287/.openclaw/agents/grant/memory -name "*.md" -type f | wc -l

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


toolName: exec

text: No grant emails in queue

status: completed

aggregated: No grant emails in queue


text:
3.0M	/home/crogers2287/.openclaw/agents/grant/memory/
698


text: (no output)


thinking:
Good findings:
1. No emails in queue for grant
2. Memory folder is 3.0M with 698 markdown files - this could benefit from compression
3. No observations older than 90 days needing archival

Let me run the claw-compactor benchmark to check if compression would be beneficial.

command: python3 /home/crogers2287/claw-compactor/scripts/mem_compress.py /home/crogers2287/.openclaw/agents/grant benchmark 2>&1 | head -50


text:
=== 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: 2314 files found

Recommendations:
  - Run 'compress' to apply rule engine savings
  - Run 'observe' to compress 2314 session transcript(s)


thinking:
Benchmark shows:
- Memory compression: 5.6% savings (952 tokens) - below the 10% threshold, so no action needed
- Session transcripts: 2314 files - that's a lot! This is above the 100 threshold

Per HEARTBEAT.md: "If savings > 10% OR session transcripts > 100: run full compression"

Since session transcripts = 2314 (> 100), I should run full compression. Let me do that.

command: python3 /home/crogers2287/claw-compactor/scripts/mem_compress.py /home/crogers2287/.openclaw/agents/grant compress 2>&1 | tail -30


text:
/home/crogers2287/.openclaw/agents/grant/memory/observations/faffb93b-9b76-4b90-9a16-71f3910f7839.md: 31 → 31 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fb22b9dc-3763-48a6-9a3e-cac64b0e9605.md: 31 → 31 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fbb5bb8a-4efe-4326-8c9b-2ae14654b28d.md: 469 → 469 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fbc5b69a-27d0-41cf-9f95-c889201f272c.md: 31 → 31 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fbcf8203-4878-4042-9af6-0af94b89aacf.md: 31 → 31 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fc836db6-1f9e-44d0-8a4c-05ab240f9531.md: 31 → 31 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fc93cb1f-2afd-4956-bec1-eeab8cb2be2d.md: 242 → 242 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fcaa00c9-37cf-47fe-b82b-7c3190b76700.md: 348 → 348 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fcb292fa-3125-432c-9a9d-934ca5ca2d0e.md: 31 → 31 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fd19d619-85e1-4f61-9e1b-ce626f251dc7.md: 410 → 410 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fe12b882-41f2-445f-a758-09bb04f687c3.md: 31 → 31 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fe8cb831-8792-497f-8480-404d73f82acf.md: 31 → 31 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/fed77f13-8ac9-4383-a62d-06e75c02ed40.md: 347 → 347 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/ff05ac66-a52a-4c6f-a2af-2f33f5107b9c.md: 31 → 31 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/ff0a88f7-6dc7-4aa8-aa83-8e04f8386c39.md: 360 → 360 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/ff2b3166-05f8-4d3a-94be-3e2cde0bd52a.md: 31 → 31 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/ff2b78a3-d1a4-4aa0-9c27-b203a6569b4e.md: 179 → 179 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/observations/ff95ff1a-4535-466b-a339-9522b5f4266c.md: 31 → 31 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/reference/tools/media-server.md: 272 → 272 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/reference/tools/ssh-hosts.md: 71 → 71 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/memory/reference/tools/vision-models.md: 129 → 129 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/observations/2026-02-28.md: 318 → 318 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/observations/2026-03-01.md: 140 → 140 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/observations/2026-03-06.md: 148 → 148 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/projects/workout-buddy/PROJECT.md: 1820 → 1820 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/projects/workout-buddy/README.md: 1321 → 1321 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/projects/workout-buddy/SETUP.md: 1566 → 1566 tokens (saved 0)
/home/crogers2287/.openclaw/agents/grant/quick_reference.md: 1301 → 1301 tokens (saved 0)

Total: 142372 → 142316 tokens (saved 56)


thinking: Memory compression saved only 56 tokens (minimal). The 5.6% from benchmark was optimistic. Now let me check if there are session transcripts that need compression. The benchmark showed 2314 session transcripts.

command: python3 /home/crogers2287/claw-compactor/scripts/mem_compress.py /home/crogers2287/.openclaw/agents/grant observe 2>&1 | tail -20


text: Processed 1 new session(s), 679 total tracked.


thinking: Session transcript compression ran. Now let me provide a summary of the heartbeat check status.

text:
**Grant Heartbeat Status — March 7, 2026 09:00 UTC**

**TODO.md**: No actionable items

**TASKS.md**: All phases (1-3) complete. Ash Enterprises AI Systems project is in "ready for integration testing" state.

**Heartbeat Checks Performed:**

| Check | Status | Action |
|-------|--------|--------|
| Email Queue (`/opt/agentmail/queue/`) | Empty | None needed |
| Memory Compression Benchmark | 5.6% savings (below 10% threshold) | — |
| Session Transcripts | 2,314 files found (>100 threshold) | Ran compression — 679 tracked |
| Observations > 90 days | None found | No archival needed |

**Result**: All maintenance tasks complete. No pending work items. System healthy.

stopReason: stop