Initial commit: workspace setup with skills, memory, config
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memory/2026-02-10.md
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# 2026-02-10 — Daily Memory Log
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## Qdrant Memory System — Manual Mode
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**Major change:** Qdrant memory now MANUAL ONLY.
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Two distinct systems established:
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- **"remember this" or "note"** → File-based (daily logs + MEMORY.md) — automatic, original design
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- **"q remember", "q recall", "q save", "q update"** → Qdrant `kimi_memories` — manual, only when "q" prefix used
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**Commands:**
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- "q remember" = store one item to Qdrant
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- "q recall" = search Qdrant
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- "q save" = store specific item
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- "q update" = bulk sync all file memories to Qdrant without duplicates
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## Redis Messaging — Manual Mode
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**Change:** Redis agent messaging now MANUAL ONLY.
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- No automatic heartbeat checks for Max's messages
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- No auto-notification queue processing
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- Only manual when explicitly requested: "check messages" or "send to Max"
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## New Qdrant Collection: kimi_memories
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**Created:** `kimi_memories` collection at 10.0.0.40:6333
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- Vector size: 1024 (snowflake-arctic-embed2)
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- Distance: Cosine
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- Model: snowflake-arctic-embed2 pulled to 10.0.0.10 (GPU)
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- Purpose: Manual memory backup when requested
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## Critical Lesson: Immediate Error Reporting
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**Rule established:** When hitting a blocking error during an active task, report IMMEDIATELY — don't wait for user to ask.
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**What I did wrong:**
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- Said "let me know when it's complete" for "q save ALL memories"
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- Discovered Qdrant was unreachable (host down)
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- Stayed silent instead of immediately reporting
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- User had to ask for status to discover I was blocked
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**Correct behavior:**
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- Hit blocking error → immediately report: "Stopped — [reason]. Cannot proceed."
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- Never imply progress is happening when it's not
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- Applies to: service outages, permission errors, resource exhaustion
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## Memory Backup Success
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**Completed:** "q save ALL memories" — 39 comprehensive memories successfully backed up to `kimi_memories` collection.
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**Contents stored:**
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- Identity & personality
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- Communication rules
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- Tool usage rules
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- Infrastructure details
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- YouTube SEO rules
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- Setup milestones
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- Boundaries & helpfulness principles
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**Collection status:**
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- Name: `kimi_memories`
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- Location: 10.0.0.40:6333
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- Vectors: 39 points
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- Model: snowflake-arctic-embed2 (1024 dims)
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## New Qdrant Collection: kimi_kb
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**Created:** `kimi_kb` collection at 10.0.0.40:6333
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- Vector size: 1024 (snowflake-arctic-embed2)
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- Distance: Cosine
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- Purpose: Knowledge base storage (web search, documents, data)
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- Mode: Manual only — no automatic storage
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**Scripts:**
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- `kb_store.py` — Store web/docs to KB with metadata
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- `kb_search.py` — Search knowledge base with domain filtering
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**Usage:**
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```bash
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# Store to KB
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python3 kb_store.py "Content" --title "X" --domain "Docker" --tags "container"
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# Search KB
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python3 kb_search.py "docker volumes" --domain "Docker"
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```
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**Test:** Successfully stored and retrieved Docker container info.
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## Unified Search: Perplexity + SearXNG
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**Architecture:** Perplexity primary, SearXNG fallback
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**Primary:** Perplexity API (AI-curated, ~$0.005/query)
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**Fallback:** SearXNG local (privacy-focused, free)
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**Commands:**
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```bash
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search "your query" # Perplexity → SearXNG fallback
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search p "your query" # Perplexity only
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search local "your query" # SearXNG only
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search --citations "query" # Include source links
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search --model sonar-pro "query" # Pro model for complex tasks
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```
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**Models:**
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- `sonar` — Quick answers (default)
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- `sonar-pro` — Complex queries, coding
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- `sonar-reasoning` — Step-by-step reasoning
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- `sonar-deep-research` — Comprehensive research
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**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.
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## Perplexity API Setup
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**Configured:** Perplexity API skill created at `/skills/perplexity/`
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**Details:**
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- Key: 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
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- Endpoint: https://api.perplexity.ai/chat/completions
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- Models: sonar, sonar-pro, sonar-reasoning, sonar-deep-research
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- Format: OpenAI-compatible, ~$0.005 per query
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**Usage:** See "Unified Search" section above for primary usage. Direct API access:
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```bash
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python3 skills/perplexity/scripts/query.py "Your question" --citations
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```
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**Note:** Perplexity sends queries to cloud servers. Use `search local "query"` for privacy-sensitive searches.
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## Sub-Agent Setup (Option B)
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**Configured:** Sub-agent defaults pointing to .10 Ollama
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**Config changes:**
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- `agents.defaults.subagents.model`: `ollama-remote/qwen3:30b-a3b-instruct-2507-q8_0`
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- `models.providers.ollama-remote`: Points to `http://10.0.0.10:11434/v1`
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- `tools.subagents.tools.deny`: write, edit, apply_patch, browser, cron (safer defaults)
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**What it does:**
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- Spawns background tasks on qwen3:30b at .10
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- Inherits main agent context but runs inference remotely
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- Auto-announces results back to requester chat
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- Max 2 concurrent sub-agents
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**Usage:**
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```
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sessions_spawn({
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task: "Analyze these files...",
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label: "Background analysis"
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})
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```
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**Status:** Configured and ready
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---
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*Stored for long-term memory retention*
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