40 lines
1.7 KiB
Markdown
40 lines
1.7 KiB
Markdown
# Hermes
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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.
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**Host:** Dankclaw — **Hostname:** `hermes.dankclaw.local` — **Docs:** https://hermes-agent.nousresearch.com/docs
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## Facts (from research, primary source)
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| Item | Value |
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|------|-------|
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| Image | built from `NousResearch/hermes-agent` (official Dockerfile in repo) |
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| License | MIT |
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| Model backends | Nous Portal, OpenRouter, OpenAI, or any custom endpoint |
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| Interfaces | TUI, Telegram, Discord, Slack, WhatsApp, Signal |
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| Memory | FTS5 session search, Honcho user modeling |
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| Skills | self-created, self-improving during use |
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## Configuration
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- Point Hermes at the local model endpoint (`http://localhost:7770/v1`) or an external provider through its provider config.
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- The gateway process exposes one port for chat integration; the exact port is set in the Hermes config (`8090` convention in this repo).
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- The data volume persists skills, memory, and session history.
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## Volumes
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| Container path | Host path (convention) |
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|----------------|------------------------|
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| `/data` | `/opt/hermes/data` |
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## Gotchas
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- Hermes is under active development; pin the image tag for reproducibility.
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- Model choice drives quality; the local `frank-default-large` (Dankserver, 7770) is the intended backend.
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- Do not expose the gateway without auth — put it behind [[Caddy]] with basic auth.
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## See Also
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- [[Dankclaw Stack]]
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- [[OpenWebUI]] — the chat UI that pairs with Hermes
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- Knowledge base: [[Agentic Search Best Practices]] (Hermes as the search agent) |