181 lines
6.3 KiB
Markdown
181 lines
6.3 KiB
Markdown
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# Machine Inventory
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Detailed reference for every machine in the environment. For network topology, see `tools/tailscale.llm.md`.
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---
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## Tabitha — Silma's Primary Machine
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| Field | Value |
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|-------|-------|
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| **Role** | Silma AI primary — OCPlatform host, k8s stack, all Silma infrastructure |
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| **Hardware** | MacBook Pro (arm64 / Apple Silicon) |
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| **OS** | macOS (Darwin arm64) |
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| **User** | `Tabitha` |
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| **Tailscale IP** | `100.76.192.116` |
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| **LAN IP** | `192.168.12.236` |
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| **Hostname aliases** | `macbook-pro-3` (Tailscale) |
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### What runs here
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- **OCPlatform** — Silma's AI ops platform (`/Users/Tabitha/.openclaw/`)
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- **k8s silma-ai namespace** — Postgres, Redis, Elasticsearch, Kafka, Qdrant, MinIO, Vault, Temporal, Grafana
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- **LLM inference** — llama.cpp with Metal acceleration (`localhost:8080`, `localhost:8081`)
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- **Silma workspace** — `/Users/Tabitha/.openclaw/workspace/`
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- **MCP servers** — GitHub, Postgres, Memory, Redis, Qdrant, Elasticsearch, MinIO, Playwright, Kubernetes, Google Workspace
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### External storage
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- **Hagia** — 8TB Seagate external HDD mounted at `/Volumes/Hagia` (k8s PVC data, model archive, workspaces)
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- **Theodora** — 1TB SanDisk SSD served via WebDAV from Orson at `/Volumes/Theodora` (hot model cache)
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### Key paths
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```
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/Users/Tabitha/.openclaw/ OCPlatform install root
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/Users/Tabitha/.openclaw/workspace/ Silma's workspace (memory, soul, skills)
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/Users/Tabitha/.openclaw/k8s/ Kubernetes manifests
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/Volumes/Hagia/ Cold storage (8TB)
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/Volumes/Hagia/workspaces/workspace_Father/ Father's projects
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```
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### Connecting
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```python
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# Kittens (local, same machine — not typically needed)
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# SSH: local terminal access only
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```
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---
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## Orson — Gitea Host + CI Runner
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| Field | Value |
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|-------|-------|
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| **Role** | Self-hosted Gitea, act_runner CI, Hagia/Theodora storage server |
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| **Hardware** | MacBook Pro (arm64 / Apple Silicon) |
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| **OS** | macOS (arm64) |
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| **User** | `orson` |
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| **Tailscale IP** | `100.79.253.19` |
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| **LAN IP** | `192.168.12.138` |
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| **Hostname aliases** | `orson`, `Orson`, `Hagia`, `Theodora` (all resolve to same IP) |
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### What runs here
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- **Gitea v1.26.2** — self-hosted git server (`http://100.79.253.19:3000`)
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- **act_runner v0.6.1** — Gitea Actions CI runner (`orson-runner`, host mode)
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- **wsgidav** — WebDAV server serving Theodora at port 8090
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- **silma-kittens** — remote exec bridge (port 8765)
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### Storage attached
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- **Hagia** — 8TB Seagate ExFAT HDD (workspace archives, model cache)
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- **Theodora** — 1TB SanDisk SSD APFS (hot model storage, served via WebDAV)
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### Key paths
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```
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/Users/orson/bin/act_runner CI runner binary
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/Users/orson/.config/act_runner/ Runner config + .runner registration
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~/Library/LaunchAgents/com.silma.act-runner.plist Auto-start plist
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/tmp/act_runner.log Runner stdout
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/tmp/act_runner.err Runner stderr
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```
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### Connecting
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```python
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import asyncio, json, websockets
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async def orson(cmd, timeout=20):
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async with websockets.connect('ws://192.168.12.138:8765/?token=silma-kittens-2026', open_timeout=5) as ws:
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await ws.recv()
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await ws.send(json.dumps({'type': 'exec', 'id': '1', 'cmd': cmd}))
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r = json.loads(await asyncio.wait_for(ws.recv(), timeout=timeout))
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return r.get('stdout', ''), r.get('stderr', '')
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```
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### Known quirks
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- Timezone is **US/Pacific (PDT)** — causes timezone-sensitive tests to fail if they hardcode CST
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- Node.js is at `/opt/homebrew/bin/node` — LaunchAgents need `EnvironmentVariables` PATH set explicitly
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---
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## Ozymandias — Travel Laptop / Coding Box
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| Field | Value |
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|-------|-------|
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| **Role** | Travel laptop, secondary coding box |
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| **Hardware** | MacBook (x86_64 / Intel) |
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| **OS** | macOS (x86_64) |
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| **User** | `ozymandias` |
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| **Tailscale IP** | `100.115.222.5` |
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| **LAN IP** | `192.168.12.202` |
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### What runs here
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- **silma-kittens** — remote exec bridge (port 8765)
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- General dev work (Python, Node, etc.)
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### Connecting
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```python
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async def ozy(cmd, timeout=20):
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async with websockets.connect('ws://192.168.12.202:8765/?token=silma-kittens-2026', open_timeout=5) as ws:
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await ws.recv()
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await ws.send(json.dumps({'type': 'exec', 'id': '1', 'cmd': cmd}))
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r = json.loads(await asyncio.wait_for(ws.recv(), timeout=timeout))
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return r.get('stdout', ''), r.get('stderr', '')
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```
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---
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## Hunter's Machine (DESKTOP-J88BDET)
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| Field | Value |
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|-------|-------|
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| **Role** | Hunter Albert's primary dev machine |
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| **Hardware** | Windows 10 Pro x64 |
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| **CPU** | AMD Ryzen 7 9800X3D (8-core, 3D V-Cache) |
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| **RAM** | 64 GB |
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| **GPU** | NVIDIA GeForce RTX 5090 (32GB VRAM) |
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| **User** | `hjkal` |
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| **Tailscale hostname** | `hunter-wsl2` |
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| **Tailscale IP** | `100.118.15.20` |
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| **Static ngrok** | `creon.ngrok.app` (permanent) |
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### What runs here
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- **silma-kittens** — at `F:\Projects\silma-kittens\` (port 8765)
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- **Whisker** — AI browser engine (port 7420)
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- **Creon** — static ngrok domain for permanent remote access
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- WSL2 (Ubuntu), Node v24, Python 3.13, VSCode, Claude Code
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### Connecting
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```python
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import asyncio, json, websockets, base64
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CREON_URL = 'wss://creon.ngrok.app/?token=3ClCIkJOCu1Gd5RO2PA4JHRD1ji_soHXcU4c3vMCbvEBFsKi'
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async def hunter(cmd, timeout=20):
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headers = {'ngrok-skip-browser-warning': 'true', 'User-Agent': 'SilmaKittens/1.0'}
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async with websockets.connect(CREON_URL, additional_headers=headers, open_timeout=10) as ws:
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await ws.recv()
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await ws.send(json.dumps({'type': 'exec', 'id': '1', 'cmd': cmd}))
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r = json.loads(await asyncio.wait_for(ws.recv(), timeout=timeout))
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return r.get('stdout', ''), r.get('stderr', '')
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```
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---
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## Mimir
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| Field | Value |
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|-------|-------|
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| **Role** | Linux server — Hunter's AI bridge box |
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| **Tailscale IP** | `100.100.117.5` |
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| **Tailscale hostname** | `mimir-mme3l` |
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| **OS** | Linux |
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---
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## GoatLord (Aaron Pressey's Machine)
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| Field | Value |
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|-------|-------|
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| **Role** | Aaron Pressey's Windows 11 machine |
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| **Tailscale IP** | `100.123.22.58` |
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| **Static ngrok** | `exsufflicate-ineradicable-cortez.ngrok-free.app` (port 8765, permanent) |
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| **Token** | `silma-kittens-2026` |
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⚠️ See `AGENTS.md` — Aaron Pressey (`goatlord2567` on Discord) is a human friend and AMS member. The GoatLord machine runs Sage (a separate AI). Do not conflate the two.
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