Initial commit: Flynn's workspace
- AGENTS.md: workspace conventions and guidelines - SOUL.md: personality and principles - USER.md: about William - IDENTITY.md: who I am - TOOLS.md: local notes and infrastructure details - MEMORY.md: long-term memory - HEARTBEAT.md: periodic task config - LLM-ROUTING.md: model selection guide - memory/2026-01-26.md: daily log - .gitignore: exclude runtime state and secrets
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MEMORY.md
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MEMORY.md
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# MEMORY.md - Long-Term Memory
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*Last updated: 2026-01-26*
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## About William
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- Cloud engineer, comfortable with k8s internals
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- Prefers speed over ceremony — doesn't want layers when direct action works
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- Values clean git history (rebase-only)
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- Has both Clawdbot (me) and Claude Code setups
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## The Homelab
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- 3-node k0s cluster on Raspberry Pis (arm64)
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- GitOps via ArgoCD, full observability with Prometheus/Grafana/Loki
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- AI stack: Open WebUI, Ollama, LiteLLM, n8n
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- Tailscale for networking
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- See TOOLS.md for full details
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## How We Work Together
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- Claude Code for CLI/terminal work, coding sessions
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- Clawdbot (me) for conversational assistant, messaging, proactive monitoring
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- Don't merge the two — each tool for what it's good at
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## Lessons Learned
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### 2026-01-26 - Claude Code Analysis
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- Heavy state file loading at init = token waste. Lazy-load instead.
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- Multi-agent orchestration adds latency for simple tasks. Skip it when possible (fast-path routing).
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- Good patterns to borrow: guardrails, KB facts, component registry
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- Don't need: rigid hierarchy, non-executable workflows, structured JSON memory arrays
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- Daily markdown memory files > complex JSON structures
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### 2026-01-26 - Agent Architecture Decision
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**Question:** Should Clawdbot have specialized agents like Claude Code's multi-agent hierarchy?
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**Answer:** No — mostly redundant for Clawdbot's workflow.
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**Reasoning:**
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- Skills already cover domain expertise (github, k8s, gog, etc.)
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- CLI delegation (`opencode`, `gemini`) handles cheap one-shot tasks
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- `sessions_spawn` works for ad-hoc background tasks
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**When specialized agents *would* help:**
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1. Long-running background work (research tasks, etc.)
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2. Different model/thinking levels (spawn sonnet for routine while main is opus)
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3. Strict isolation (tasks that shouldn't see main session context)
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**Decision:** Don't pre-configure agents. Use `sessions_spawn` on-demand with model param. If a pattern emerges (constantly spawning same type of task), *then* formalize as configured agent.
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**Why different from Claude Code:** Claude Code is CLI-first with routing-heavy design. Clawdbot is conversational — single capable assistant who calls for backup when needed.
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## Preferences Discovered
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*(Add as I learn them)*
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## Recurring Topics
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*(Track what comes up often)*
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---
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*This file is my curated long-term memory. Daily files (`memory/YYYY-MM-DD.md`) are raw logs.*
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