Files

T

Frank e3eb5334cb feat: initialize serverAppConfigs with podman stacks for Dankserver and Dankclaw

- Dankserver stack: RomM, Copyparty, Calibre-Web, node-exporter
- Dankclaw stack: Gluetun VPN (SearXNG tunnel), SearXNG+Valkey, ComfyUI
  (CPU backend), OpenWebUI, Hermes, Gitea+Postgres (migrated), Caddy
  reverse proxy, Grafana+Prometheus+Loki+Alloy observability
- Caddyfiles with .local hostname convention and basicauth homepage
- bind-mount storage policy, no named volumes
- deploy.sh mirroring vllmScripts git workflow (push -> pull -> restart -> health)
- docs/ Obsidian vault: per-service docs from frank-default-small research
  subagents (promtail EOL -> Alloy; gitea SECRET_KEY preservation; ComfyUI --cpu)
- bats test suite at 6 seams — 22 tests green

2026-08-13 20:19:41 -07:00

1.7 KiB

Raw Blame History

Hermes

Hermes is the self-improving AI agent from Nous Research. It runs in a terminal, Telegram, Discord, Slack, WhatsApp, or Signal, and keeps a persistent learning loop: it creates skills from experience, searches past conversations, and builds a model of the user across sessions.

Host: Dankclaw — Hostname: hermes.dankclaw.local — Docs: https://hermes-agent.nousresearch.com/docs

Facts (from research, primary source)

Item	Value
Image	built from `NousResearch/hermes-agent` (official Dockerfile in repo)
License	MIT
Model backends	Nous Portal, OpenRouter, OpenAI, or any custom endpoint
Interfaces	TUI, Telegram, Discord, Slack, WhatsApp, Signal
Memory	FTS5 session search, Honcho user modeling
Skills	self-created, self-improving during use

Configuration

Point Hermes at the local model endpoint (http://localhost:7770/v1) or an external provider through its provider config.
The gateway process exposes one port for chat integration; the exact port is set in the Hermes config (8090 convention in this repo).
The data volume persists skills, memory, and session history.

Volumes

Container path	Host path (convention)
`/data`	`/opt/hermes/data`

Gotchas

Hermes is under active development; pin the image tag for reproducibility.
Model choice drives quality; the local frank-default-large (Dankclaw, 7770) is the intended backend.
Do not expose the gateway without auth — put it behind Caddy with basic auth.

1.7 KiB Raw Blame History