awesome-hermes-usecases
mcp
Gecti
Health Gecti
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 16 GitHub stars
Code Gecti
- Code scan — Scanned 9 files during light audit, no dangerous patterns found
Permissions Gecti
- Permissions — No dangerous permissions requested
Purpose
This project is a curated list of real-world use cases and runnable demos for the Hermes AI agent. It serves as a community-maintained knowledge base rather than a standalone software library.
Security Assessment
Overall Risk: Low. The repository is essentially a collection of markdown files and documentation. A scan of 9 files found no dangerous code patterns, hardcoded secrets, or requests for dangerous permissions. The primary security consideration is the Quick Start section in the README, which instructs users to pipe a remote shell script directly into bash (`curl ... | bash`). While this script points to the official Hermes repository and is standard practice for many tools, users should always inspect external scripts before running them locally.
Quality Assessment
The project is of good quality and actively maintained, with its most recent push occurring today. It is properly licensed under the standard MIT license, allowing for broad usage and modification. Community trust is currently low-to-moderate, reflected by its 16 GitHub stars. However, the catalog is well-organized, transparently separating verified use cases from unverified ones.
Verdict
Safe to use, though developers should inspect the external installation script before executing it.
This project is a curated list of real-world use cases and runnable demos for the Hermes AI agent. It serves as a community-maintained knowledge base rather than a standalone software library.
Security Assessment
Overall Risk: Low. The repository is essentially a collection of markdown files and documentation. A scan of 9 files found no dangerous code patterns, hardcoded secrets, or requests for dangerous permissions. The primary security consideration is the Quick Start section in the README, which instructs users to pipe a remote shell script directly into bash (`curl ... | bash`). While this script points to the official Hermes repository and is standard practice for many tools, users should always inspect external scripts before running them locally.
Quality Assessment
The project is of good quality and actively maintained, with its most recent push occurring today. It is properly licensed under the standard MIT license, allowing for broad usage and modification. Community trust is currently low-to-moderate, reflected by its 16 GitHub stars. However, the catalog is well-organized, transparently separating verified use cases from unverified ones.
Verdict
Safe to use, though developers should inspect the external installation script before executing it.
Curated real-world use cases for Hermes Agent — the self-improving AI agent from Nous Research. Backed by primary sources.
README.md
Awesome Hermes Agent Use Cases
A community collection of real-world Hermes Agent use cases — each one backed by public evidence.
| This Catalog | Official Docs | X Threads | ||
|---|---|---|---|---|
| Organized by category | ✅ | Partial | ❌ | ❌ |
| Runnable demos included | ✅ | ❌ | ❌ | ❌ |
| Primary source required | ✅ | ✅ | ❌ | ❌ |
| Community-maintained | ✅ | ❌ | ❌ | ❌ |
[!NOTE]
Evidence rule. Every use case here links to a primary source: an official Hermes doc, a Nous Research companion repo, a GitHub issue with deployment details, or a first-person blog post. If the only evidence is a tweet or "community build" marketing page, it lives inresearch/unverified.mdinstead — not in the catalog below.
Quick start
New to Hermes Agent? The fastest path:
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
hermes setup
Then pick a use case below. The /demos folder has three runnable starters: Daily Briefing, Open WebUI, and Team Telegram.
Categories
- Automation & Scheduling
- Messaging & Team Bots
- Coding & Developer Workflows
- Frontends & UIs
- Home & Device Control
- Content & Creative Pipelines
- Orchestration & Multi-Agent
- Memory & Context
- Deployment Patterns
- Research & Training
Automation & Scheduling
| Name | Description |
|---|---|
| Daily Briefing Bot | A scheduled agent that researches topics every morning and delivers a summary to Telegram or Discord. The canonical "hello world" of Hermes automation. |
| Zero-Token Notifications | Cron jobs that only wake the LLM when something actually changed — pre-filter with a Python script, only pay for tokens on meaningful signal. |
| Intent-to-Artifacts Workflow | A personal workflow for turning rough prompts into runbooks, RSS curation, diagrams, and notes — delivered to Telegram + markdown files. |
Messaging & Team Bots
| Name | Description |
|---|---|
| Team Telegram Assistant | Always-on shared bot for a small team — coding, research, ops — with per-user sessions, Docker-isolated terminal, and an allowlist. The gateway also supports Discord, Slack, WhatsApp, Signal, Matrix, Email, SMS, and more; the Telegram flow is the cleanest starting point for any of them. |
| Enterprise Messaging (Feishu / WeCom) | Production-style Hermes deployments on Chinese enterprise chat platforms — Feishu managed under launchd, WeCom with native media-and-vision analysis. |
| Voice Assistant Workflows | Three modes: CLI mic loop, voice notes in Telegram/Discord, and a Discord voice-channel bot. Same agent, same memory, voice-only I/O. |
Coding & Developer Workflows
| Name | Description |
|---|---|
| GitHub PR Review (cron) | Periodic PR review without opening a webhook endpoint. Authenticated gh, a review skill, and a cron job. |
| GitHub PR Review (webhook) | Real-time PR comments via a signed GitHub webhook. End-to-end event-driven code review. |
| Production Software-Dev Workflow | A field report of daily production development on Hermes — long sessions, delegation, memory, one 12-hour run with ~2.6M replay tokens. |
| Local Model Quantization with TurboQuant | Optimize MLX models (Qwen3.5-9B) for local Apple Silicon inference using domain-specific skills — apply, benchmark, document, publish. |
Frontends & UIs
| Name | Description |
|---|---|
| Open WebUI Frontend | Point Open WebUI at the Hermes API server to get a full browser chat frontend for the agent, with session continuity. |
| TUI Operator Console | Keyboard-first terminal HUD for managing your agent — live sessions, skills toggle, cron, logs, config editing, multiple themes. |
Home & Device Control
| Name | Description |
|---|---|
| Home Assistant Control | Conversational control of a smart home via four built-in HA tools — list entities, read state, call services. |
| Android Device Control | Remote phone control from a Hermes chat — 36 android_* tools for taps, swipes, screenshots, and screen reading via a relay app. |
Content & Creative Pipelines
| Name | Description |
|---|---|
| Autonovel — House of Bells | End-to-end autonomous novel, art, and audiobook production. Nous Research's own pipeline shipped a 19-chapter, 79,456-word book with an audiobook and a website. |
| Printing-Factory Task Memory | A custom skill that fixes long-context slowness and forgetting during daily factory operations. Local JSON index with sub-second retrieval. |
| Screen Recording → Tutorial Video | Feed Hermes a raw screen recording and get a finished tutorial video on HeyGen with your AI avatar — script generation, video production, and memory of preferences for repeat work. |
Orchestration & Multi-Agent
| Name | Description |
|---|---|
| Paperclip Managed Employee | Hermes running as a worker inside Nous Research's Paperclip task-orchestration system, with persistent sessions and checkpoints. |
| Self-Evolution | A GEPA + DSPy loop that optimizes your Hermes skills, prompts, and tool text, producing PR-ready improvements for a few dollars per run. |
| Zouroboros Swarm Bridge | Hermes as one of four interchangeable executors (Claude Code, Codex, Gemini, Hermes) inside a third-party multi-agent orchestrator. Bash-bridge adapter pattern with shared identity. |
| Matt Pocock Skills + Sub-Agents | Use Matt Pocock's open-source skills (/grill-me, /to-prd, /to-issues) for planning and scoping, then Hermes sub-agents for parallel implementation of vertical-sliced issues — with HITL gates to stop AI slop before it ships. |
Memory & Context
| Name | Description |
|---|---|
| YantrikDB Cognitive Memory (via MCP) | Replace or augment native memory with a dedicated cognitive DB — vector + knowledge graph + temporal decay + contradiction detection. Integrates over MCP, so no Hermes plugin needed. |
| Obsidian Vault as a Second Brain | Wire Hermes into an Obsidian vault for persistent knowledge — read notes, create daily dashboards, cross-reference tags, maintain a self-improving personal knowledge base. |
Deployment Patterns
| Name | Description |
|---|---|
| Hermes on Fly.io | Official Fly-apps deployment guide — run Hermes as a Fly Machine with a volume-backed /opt/data, daily snapshots, and ~$15/month baseline. |
| Local & Proxy Model Backends | Run Hermes against Ollama, vLLM, oMLX, or a custom OpenAI-compatible proxy — for cost control, data locality, or model choice beyond the defaults. |
| Local Model Auto-Detection | Hermes probes your local inference server, identifies the running model, detects context window, and auto-configures — eliminates first-setup friction for Ollama, llama.cpp, MLX, and vLLM. |
Research & Training
| Name | Description |
|---|---|
| Multi-Platform Social Media Research | Run a single query across Reddit, X/Twitter, YouTube, Hacker News, and Polymarket via a single Python engine. Firefox-cookie auth for X, no API key needed on WSL. Delivered as a unified markdown brief to Telegram or local storage. |
| RL Training & Benchmarks | Use Hermes environments to train and evaluate tool-calling models. The TBLite benchmark covers 100 tasks with strong correlation to TB2. |
| Browser & Admin UIs | The official web dashboard plus community UIs — browser access to sessions, files, cron, and control plane. |
Runnable demos
Three starter demos live in /demos. Each has a README.md, a .env.example, and a one-command setup:
- daily-briefing — cron + web search + Telegram delivery
- openwebui — Hermes API server + Open WebUI via Docker Compose
- team-telegram — gateway + Telegram + Docker terminal backend
Contributing
See CONTRIBUTING.md. The short version: one primary source minimum — official docs, a Nous companion repo, a GitHub issue with real deployment detail, or a first-person blog post. X posts and "community build" marketing pages don't count as primary evidence.
Please only submit use cases you have personally run (at least once) or that you can trace to a primary public source. No crypto use cases.
License
MIT for code and configs. Docs and diagrams under CC BY 4.0.
Acknowledgements
Catalog format inspired by awesome-openclaw-usecases. Hermes Agent is built by Nous Research.
Yorumlar (0)
Yorum birakmak icin giris yap.
Yorum birakSonuc bulunamadi