Files

William Valentin f9111eea11 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

2026-01-26 21:56:59 -08:00

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MEMORY.md - Long-Term Memory

Last updated: 2026-01-26

About William

Cloud engineer, comfortable with k8s internals
Prefers speed over ceremony — doesn't want layers when direct action works
Values clean git history (rebase-only)
Has both Clawdbot (me) and Claude Code setups

The Homelab

3-node k0s cluster on Raspberry Pis (arm64)
GitOps via ArgoCD, full observability with Prometheus/Grafana/Loki
AI stack: Open WebUI, Ollama, LiteLLM, n8n
Tailscale for networking
See TOOLS.md for full details

How We Work Together

Claude Code for CLI/terminal work, coding sessions
Clawdbot (me) for conversational assistant, messaging, proactive monitoring
Don't merge the two — each tool for what it's good at

Lessons Learned

2026-01-26 - Claude Code Analysis

Heavy state file loading at init = token waste. Lazy-load instead.
Multi-agent orchestration adds latency for simple tasks. Skip it when possible (fast-path routing).
Good patterns to borrow: guardrails, KB facts, component registry
Don't need: rigid hierarchy, non-executable workflows, structured JSON memory arrays
Daily markdown memory files > complex JSON structures

2026-01-26 - Agent Architecture Decision

Question: Should Clawdbot have specialized agents like Claude Code's multi-agent hierarchy?

Answer: No — mostly redundant for Clawdbot's workflow.

Reasoning:

Skills already cover domain expertise (github, k8s, gog, etc.)
CLI delegation (opencode, gemini) handles cheap one-shot tasks
sessions_spawn works for ad-hoc background tasks

When specialized agents would help:

Long-running background work (research tasks, etc.)
Different model/thinking levels (spawn sonnet for routine while main is opus)
Strict isolation (tasks that shouldn't see main session context)

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.

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.

Preferences Discovered

(Add as I learn them)

Recurring Topics

(Track what comes up often)

This file is my curated long-term memory. Daily files (memory/YYYY-MM-DD.md) are raw logs.

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