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0xNyk/awesome-hermes-agent

A field guide to the Hermes agent ecosystem

A curated index of skills, plugins, and integrations for Nous Research's self-improving AI agent.

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What it does

This repository is a curated awesome-list that catalogs the growing ecosystem around Hermes Agent — skills, plugins, deployment tools, integrations, and documentation. It serves as a starting point for developers who want to extend or operate Hermes, with resources tagged by maturity level (production, beta, experimental).

The interesting bit

The list itself is glue, but the ecosystem it tracks is unusually broad. Hermes Agent claims a built-in learning loop where it creates skills from experience and auto-maintains its skill library via a “Curator” cron job. This list captures the community’s attempt to keep pace — from SRE incident-commander skills to a Spotify controller for headless Raspberry Pi.

Key highlights

  • Maturity tags on every entry: production, beta, or experimental — a rarity in agent-land where everything claims to be ready
  • 18 messaging platforms supported natively (Telegram, Discord, Slack, WhatsApp, Signal, Feishu/Lark, WeCom, QQBot, Yuanbao, plus Microsoft Teams via plugin)
  • Seven terminal backends including local, Docker, SSH, Singularity, Modal, Daytona, and Vercel Sandbox
  • Cross-platform skills standard via agentskills.io, compatible with Claude Code, Cursor, Codex
  • Notable oddities: a fantasy RPG-themed devops skill pack, an autonomous novel-writing pipeline (100k+ words), and a betting-slip tracker with 30+ bet types

Caveats

  • The core Hermes repo’s “134k+ stars” figure is repeated but not independently verified in this list’s sources
  • Most community skills are tagged beta or experimental — the production tier is thin
  • The README is truncated mid-sentence in the provided source, so the full depth of integrations is unclear

Verdict

Worth bookmarking if you’re already running Hermes and need to discover what’s been built. Skip it if you’re looking for a neutral comparison of AI agents — this is unapologetically ecosystem-specific.

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