Second half of the purge (the first covered the persona, AGENTS.md, README.md,
and the distillation of the per-host pages). Every remaining identifier is
gone: hostname, both LAN addresses, and the Wi-Fi SSID.
34 count-checked substitutions across 22 files — indexes, tool/research pages,
the inventory census, the changelog, one generated HTML report, and five
managed skills. Facts kept, names dropped: a history entry keeps its four-page
listing as a nameless summary, the syslog excerpts keep every timestamp and
line, and the census keeps the .zcompdump rows (the zsh version stamps are the
useful part, the hostname was not).
Deliberately unchanged: install.sh's --host case list and the
packages/<hostname>.pkgs filename, where the hostname is the lookup key.
Left out of scope by Frank's call: agent/memories/** — past-session records the
learn pipeline rewrites.
kb-lint: 0 violations. Residual grep for the hostname, its two IPs, and the
SSID across omp-docs/ and agent/managed-skills/: no hits.
Secondary inference server at 192.168.0.143. Runs llama.cpp (frank-default-large).
network
llamacpp
inference
server
comfyui
unverified
by
at
chief-designer/agent
2026-08-26T00:00:00Z
2026-08-28
Dankclaw
Secondary llama.cpp inference server for the Frank Program. Serves larger models used by planner, worker, reviewer, oracle, and context-builder subagents.
Connection Details
Property
Value
Hostname
dankclaw
IP Address
192.168.0.143
Port
7770
Base URL
http://192.168.0.143:7770/v1
API
OpenAI-compatible completions
Authentication
API key configured
Models
Model ID
Context Window
Reasoning
Input Types
frank-default-large
262,144 tokens
Yes
Text, Image (unverified)
Services
llama.cpp
Property
Value
Port
7770
Models
frank-default-large
Hardware
Property
Value
CPU
AMD Ryzen AI MAX+ 395 (16C/16T, Strix Halo)
GPU
Radeon 8060S integrated (gfx1151, amdgpu)
RAM
119 GiB
Storage
Kingston SNV3S1000G NVMe (931.5 GB), ~676 GB free
OS
Ubuntu 26.04 LTS, kernel 7.0.0-30-generic
ROCm
7.2.4 (driver: 7.0.0-30-generic)
Python
3.14.4 (system)
Usage
Dankclaw handles complex tasks delegated by subagent overrides. The frank-default-large model provides extended context. Multimodal input support is unverified.
# Health check
curl http://192.168.0.143:7770/health
# Test with large model
curl http://192.168.0.143:7770/v1/chat/completions \
-H "Content-Type: application/json"\
-H "Authorization: Bearer <key>"\
-d '{"model":"frank-default-large","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}'
Related Knowledge Bases (sibling project on the workstation)
serverAppConfigs — /home/dank/Projects/serverAppConfigs/ — Podman deployment config for this host (AI, search, development, observability stack, incl. the Hermes compose service) plus the LLM inference fleet (frank-default-large, CIRU ROCmFPX llama.cpp, :7770). The former vllmScripts repo merged into it on 2026-08-22 (history preserved). Start at /home/dank/Projects/serverAppConfigs/docs/index.md (see dankclaw/compose.yaml + docs/Dankclaw/; LLM fleet at docs/LLM/index.md, deploy runbook at docs/LLM/deployment.md).
Frank
689228e60d