type: custom

customType: model-snapshot

provider: zai

modelApi: openai-completions


type: message

role: user

type: text

text:
[cron:44115ed8-369b-4c51-921e-dcb3312a8638 total-recall-reflector] Run Total Recall Reflector to consolidate observations if they've grown too large. Execute: bash ~/.openclaw/shared/total-recall/scripts/reflector.sh
Current time: Friday, March 6th, 2026 — 11:06 PM (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 received a system message about a cron job to run the Total Recall Reflector. According to my instructions, when a `[System Message]` reports completed cron/subagent work and asks for a user update, I should rewrite it in my normal assistant voice and send that update.

Let me execute the reflector script as requested.

exec

type: toolCall

api: openai-completions

stopReason: toolUse


role: toolResult

toolName: exec

text: (no output)

status: completed


thinking: The reflector script ran with no output, which is normal for consolidation tasks. I should check what actually happened by looking at the observations file to see if it was consolidated.


text:
total 20K
drwxrwxr-x 2 crogers2287 crogers2287 4.0K Mar  6 20:53 archive
drwxrwxr-x 2 crogers2287 crogers2287 4.0K Mar  6 20:53 backups
drwxrwxr-x 2 crogers2287 crogers2287 4.0K Mar  6 20:53 events
-rw-rw-r-- 1 crogers2287 crogers2287  589 Mar  6 20:53 observations.md
-rw-rw-r-- 1 crogers2287 crogers2287  595 Mar  6 20:53 preconscious-buffer.md


thinking: The observations.md file is only 589 bytes, so it's already quite small. Let me check the content to see what's in there.


toolName: read

text:
# Observations Log
# Auto-generated by Total Recall Observer
# Format: [PRIORITY] TYPE: observation

## 2026-03-06 20:55 Session Start

[MEDIUM] EVENT: Total Recall system initialized
[FACT] SYSTEM: Memory architecture includes QMD, Mem0, MemLayer, Total Recall
[PREFERENCE] USER: Chad prefers dark mode in all applications
[PREFERENCE] USER: Direct communication, no filler
[FACT] INFRASTRUCTURE: Fred server runs OpenClaw on port 18789
[FACT] INFRASTRUCTURE: Local embeddings on port 9069 (embeddinggemma-300m)
[RULE] MEMORY: All agents use grepai for code search, QMD for memory search


thinking: The observations are minimal and well-organized at 589 bytes. The reflector ran but didn't need to do much consolidation since the file is already small. Let me also check the preconscious buffer to report on that.


text:
# Preconscious Buffer
# Top priority items for immediate attention
# Updated: 2026-03-06 20:55

### [0.90] Active: Memory Systems Setup
- QMD: 1,277 files indexed, 3,667 vectors
- Mem0: HTTP service on port 8768
- MemLayer: 3,298 memories at fred:10888
- Total Recall: Initializing

### [0.85] Infrastructure Status
- All systems operational on fred
- Embedding model: embeddinggemma-300m @ localhost:9069
- Compaction buffer: 100k tokens

### [0.75] Active Projects
- Memory system consolidation across all agents
- Slack integration planning

---
*This buffer is injected into agent sessions*


thinking:
Good - the reflector script ran successfully. The observations are already minimal (589 bytes), so no major consolidation was needed. The preconscious buffer shows the current priority items.

I should provide a summary as requested by the cron message.

text:
Total Recall Reflector completed. The observations file is already lean at 589 bytes — no consolidation needed.

**Current state:**
- **Observations:** 7 items (session start, user prefs, infrastructure facts)
- **Preconscious Buffer:** Top priorities include memory systems setup (QMD 1,277 files, Mem0 active, MemLayer 3,298 memories) and Slack integration planning
- **All memory systems operational on fred**

No archive action taken — observations remain active and relevant.

stopReason: stop