ARIS vs Hermes Agent
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Markdown-based skill files that let an AI agent run ML research loops, with a second model reviewing the work.
Open source · MIT
A self-improving AI agent that runs in your terminal and chat apps and learns from past work.
The short answer
Choose ARIS if you need…
- ML researchers who already use Claude Code or Codex and want a structured research workflow
- People who want to pair two different models so one reviews the other's work
- Developers who prefer plain Markdown configuration over installing a framework
- Teams experimenting with agent-driven paper review and experiment loops
Choose Hermes Agent if you need…
- Developers who want a personal agent they can host on their own server or machine
- People who want to reach one assistant from several chat platforms
- Users who want scheduled, unattended tasks described in plain language
- Teams comparing self-hosted agents with hosted model APIs
Side-by-side
| ARIS | Hermes Agent | |
|---|---|---|
| Type | AI model / agent | AI model / agent |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 18.5k | 260k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | See the README | See the README |
| Main language | Python | Python |
| Last code update | 5 days ago | 4 days ago |
What each one is
ARIS
ARIS is a set of plain Markdown skill files for AI coding agents such as Claude Code or Codex. The skills guide an agent through autonomous machine learning research tasks like idea discovery, experiment automation, and review loops, where an independent model checks the executor's output. The README describes it as a methodology rather than a platform, so it does not add a separate framework.
Hermes Agent
Hermes Agent is an AI assistant you run yourself, built by Nous Research. You talk to it through a terminal interface or chat apps such as Telegram, Discord, Slack, and WhatsApp, and it can use tools and remember past conversations. The README says it creates reusable skills from experience and can run scheduled tasks unattended. You can connect it to many model providers and switch between them with a command.
Best for
ARIS
- ML researchers who already use Claude Code or Codex and want a structured research workflow
- People who want to pair two different models so one reviews the other's work
- Developers who prefer plain Markdown configuration over installing a framework
- Teams experimenting with agent-driven paper review and experiment loops
Hermes Agent
- Developers who want a personal agent they can host on their own server or machine
- People who want to reach one assistant from several chat platforms
- Users who want scheduled, unattended tasks described in plain language
- Teams comparing self-hosted agents with hosted model APIs
Strengths
ARIS
- Markdown-only skills with no framework to learn, per the description
- Works across several agents, including Claude Code, Codex, Cursor, and OpenClaw, according to the README
- MIT licensed and actively maintained, with a recent push and frequent releases
Hermes Agent
- Supports many model providers and switching between them with one command, according to the README
- Connects to several chat platforms from a single gateway process
- Includes a built-in scheduler and multiple execution backends
Not ideal for
ARIS
- People without access to Claude Code, Codex, or another compatible agent, since the skills run inside those tools
- Users who need a fully hands-off system with guaranteed research results, because the README describes an agent-driven workflow that still requires oversight
- Readers looking for a general-purpose app with a graphical interface; the README centers on skills and an optional CLI
Hermes Agent
- People who want a zero-setup hosted product, since the README centers on installing and configuring it yourself
- Users who need a guaranteed privacy posture, because the README does not describe data handling in detail and model and tool choices affect where data goes
- Non-technical users who are uncomfortable with terminal installs and API keys
Trade-offs
ARIS
- The README notes a recent codex-cli change that broke the reviewer bridge, so setup may need a re-registration step
- Much of the documentation is in Chinese and English mixed, and the README is long and truncated here, so details are hard to verify quickly
- Results depend on the underlying models and API access, which the README does not fully specify
Hermes Agent
- Setup involves API keys, provider choices, and optional services, which adds complexity
- The README's claims about self-improvement and learning are described by the project itself and are not independently verified here
- Some features, such as the Desktop app and Android/Termux installs, have separate paths and documentation to follow
Getting started
ARIS
Clone the repository
git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleepHermes Agent
Install on Linux, macOS, or WSL2
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bashInstall on native Windows (PowerShell)
iex (irm https://hermes-agent.nousresearch.com/install.ps1)Frequently asked questions
What is the difference between ARIS and Hermes Agent?
ARIS: Markdown-based skill files that let an AI agent run ML research loops, with a second model reviewing the work. Hermes Agent: A self-improving AI agent that runs in your terminal and chat apps and learns from past work. ARIS suits ml researchers who already use claude code or codex and want a structured research workflow, while Hermes Agent suits developers who want a personal agent they can host on their own server or machine.
Are ARIS and Hermes Agent free?
ARIS: Free and open source. Hermes Agent: Free and open source.
Is ARIS or Hermes Agent more popular?
Hermes Agent has more GitHub stars (260k) than ARIS (18.5k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to ARIS and Hermes Agent?
Other options people compare them with include Humanizer, GenericAgent, MCP for Blender, Ponytail, last30days.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.