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: Saturday, March 7th, 2026 — 2:04 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: The user is asking me to run the Total Recall Reflector script to consolidate observations. This is a cron job that runs automatically. I should execute the script and return the results.

exec

type: toolCall

api: openai-completions

stopReason: toolUse


role: toolResult

toolName: exec

text: (no output)

status: completed


thinking: The script ran successfully with no output. Let me check if there are any observations to consolidate by looking at the observations file.


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 file is quite small - only 8 observations from the session start. This doesn't need consolidation yet. The reflector script likely didn't output anything because there wasn't enough content to consolidate.

Let me also check the preconscious buffer to see if there's anything there.


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 Total Recall system is set up and working. The reflector script ran successfully but produced no output because:
1. The observations file is small (only 8 items from session initialization)
2. There's not enough content to warrant consolidation yet

This is normal behavior - the reflector only consolidates when observations grow large enough.

I should report this back as a plain text summary since this was triggered by a cron job.

text:
**Total Recall Reflector Summary**

Reflector executed successfully with no output.

**Status:**
- Observations file: 8 entries (session initialization data only)
- Preconscious buffer: 3 priority items loaded
- No consolidation needed — observations are within normal bounds

The system is healthy. Observations will be consolidated once they accumulate beyond the threshold.


text:
🦞 OpenClaw 2026.2.26 (bc50708)
🕒 Time: Saturday, March 7th, 2026 — 2:04 AM (UTC)
🧠 Model: zai/glm-5 · 🔑 api-key 3887e2ed...2KQB2uMm (zai:default)
🧮 Tokens: 555 in / 228 out · 💵 Cost: $0.0000
🗄 Cache: 99% hit · 45k cached, 0 new
📚 Context: 16k/205k (8%) · 🧹 Compactions: 0
📊 Usage: Monthly 100% left ⏱Apr 6 · Tokens (5h) 99% left ⏱3h 55m
🧵 Session: agent:clinker:cron:44115ed8-369b-4c51-921e-dcb3312a8638 • updated 1m ago
⚙ Runtime: direct · Think: off · elevated
🪢 Queue: steer (depth 0)


thinking: Session status shows 8% context usage. Everything is running smoothly. The reflector ran successfully - it just had nothing to consolidate since observations are still small.

text: **Session Status:** 8% context · No compactions needed · All memory systems operational.

stopReason: stop