# 2026-02-10 — Daily Memory Log

## Qdrant Memory System — Manual Mode

**Major change:** Qdrant memory now MANUAL ONLY.

Two distinct systems established:
- **"remember this" or "note"** → File-based (daily logs + MEMORY.md) — automatic, original design
- **"q remember", "q recall", "q save", "q update"** → Qdrant `kimi_memories` — manual, only when "q" prefix used

**Commands:**
- "q remember" = store one item to Qdrant
- "q recall" = search Qdrant  
- "q save" = store specific item
- "q update" = bulk sync all file memories to Qdrant without duplicates

## Redis Messaging — Manual Mode

**Change:** Redis agent messaging now MANUAL ONLY.

- No automatic heartbeat checks for Max's messages
- No auto-notification queue processing
- Only manual when explicitly requested: "check messages" or "send to Max"

## New Qdrant Collection: kimi_memories

**Created:** `kimi_memories` collection at 10.0.0.40:6333
- Vector size: 1024 (snowflake-arctic-embed2)
- Distance: Cosine
- Model: snowflake-arctic-embed2 pulled to 10.0.0.10 (GPU)
- Purpose: Manual memory backup when requested

## Critical Lesson: Immediate Error Reporting

**Rule established:** When hitting a blocking error during an active task, report IMMEDIATELY — don't wait for user to ask.

**What I did wrong:**
- Said "let me know when it's complete" for "q save ALL memories"
- Discovered Qdrant was unreachable (host down)
- Stayed silent instead of immediately reporting
- User had to ask for status to discover I was blocked

**Correct behavior:**
- Hit blocking error → immediately report: "Stopped — [reason]. Cannot proceed."
- Never imply progress is happening when it's not
- Applies to: service outages, permission errors, resource exhaustion

## Memory Backup Success

**Completed:** "q save ALL memories" — 39 comprehensive memories successfully backed up to `kimi_memories` collection.

**Contents stored:**
- Identity & personality
- Communication rules  
- Tool usage rules
- Infrastructure details
- YouTube SEO rules
- Setup milestones
- Boundaries & helpfulness principles

**Collection status:**
- Name: `kimi_memories`
- Location: 10.0.0.40:6333
- Vectors: 39 points
- Model: snowflake-arctic-embed2 (1024 dims)

## New Qdrant Collection: kimi_kb

**Created:** `kimi_kb` collection at 10.0.0.40:6333
- Vector size: 1024 (snowflake-arctic-embed2)
- Distance: Cosine
- Purpose: Knowledge base storage (web search, documents, data)
- Mode: Manual only — no automatic storage

**Scripts:**
- `kb_store.py` — Store web/docs to KB with metadata
- `kb_search.py` — Search knowledge base with domain filtering

**Usage:**
```bash
# Store to KB
python3 kb_store.py "Content" --title "X" --domain "Docker" --tags "container"

# Search KB
python3 kb_search.py "docker volumes" --domain "Docker"
```

**Test:** Successfully stored and retrieved Docker container info.

## Unified Search: Perplexity + SearXNG

**Architecture:** Perplexity primary, SearXNG fallback

**Primary:** Perplexity API (AI-curated, ~$0.005/query)  
**Fallback:** SearXNG local (privacy-focused, free)

**Commands:**
```bash
search "your query"        # Perplexity → SearXNG fallback
search p "your query"      # Perplexity only
search local "your query"  # SearXNG only
search --citations "query" # Include source links
search --model sonar-pro "query" # Pro model for complex tasks
```

**Models:**
- `sonar` — Quick answers (default)
- `sonar-pro` — Complex queries, coding
- `sonar-reasoning` — Step-by-step reasoning
- `sonar-deep-research` — Comprehensive research

**Test:** Successfully searched "top 5 models used with openclaw" — returned Claude Opus 4.5, Sonnet 4, Gemini 3 Pro, Kimi K 2.5, GPT-4o with citations.

## Perplexity API Setup

**Configured:** Perplexity API skill created at `/skills/perplexity/`

**Details:**
- Key: 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
- Endpoint: https://api.perplexity.ai/chat/completions
- Models: sonar, sonar-pro, sonar-reasoning, sonar-deep-research
- Format: OpenAI-compatible, ~$0.005 per query

**Usage:** See "Unified Search" section above for primary usage. Direct API access:
```bash
python3 skills/perplexity/scripts/query.py "Your question" --citations
```

**Note:** Perplexity sends queries to cloud servers. Use `search local "query"` for privacy-sensitive searches.

## Sub-Agent Setup (Option B)

**Configured:** Sub-agent defaults pointing to .10 Ollama

**Config changes:**
- `agents.defaults.subagents.model`: `ollama-remote/qwen3:30b-a3b-instruct-2507-q8_0`
- `models.providers.ollama-remote`: Points to `http://10.0.0.10:11434/v1`
- `tools.subagents.tools.deny`: write, edit, apply_patch, browser, cron (safer defaults)

**What it does:**
- Spawns background tasks on qwen3:30b at .10
- Inherits main agent context but runs inference remotely
- Auto-announces results back to requester chat
- Max 2 concurrent sub-agents

**Usage:**
```
sessions_spawn({
  task: "Analyze these files...",
  label: "Background analysis"
})
```

**Status:** Configured and ready

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*Stored for long-term memory retention*