Hermes Agent vs Open SWE
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
A self-improving AI agent that runs in your terminal and chat apps and learns from past work.
Open source · MIT
Open-source coding agent that takes engineering tasks and delivers pull requests, meant to be self-hosted.
The short answer
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
Choose Open SWE if you need…
- Engineering teams that want a self-hosted coding agent they can inspect and adapt
- Developers who already run LangChain or LangGraph and want a reference implementation
- Teams that want an agent to handle routine PR work such as reviews and CI follow-ups
- Organizations that need control over sandbox providers, models, and GitHub access
Side-by-side
| Hermes Agent | Open SWE | |
|---|---|---|
| Type | AI model / agent | AI model / agent |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 260k | 11.2k |
| Setup difficulty | Intermediate | Advanced |
| How you get it | See the README | Clone and build from source |
| Main language | Python | Python |
| Last code update | 4 days ago | 4 days ago |
What each one is
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.
Open SWE
Open SWE is an open-source coding agent from LangChain that investigates a codebase, makes changes in an isolated sandbox, validates them, and opens a pull request. It can also review pull requests, monitor CI, and respond to feedback. It is built on Deep Agents and LangGraph and is designed to be deployed in your own infrastructure.
Best for
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
Open SWE
- Engineering teams that want a self-hosted coding agent they can inspect and adapt
- Developers who already run LangChain or LangGraph and want a reference implementation
- Teams that want an agent to handle routine PR work such as reviews and CI follow-ups
- Organizations that need control over sandbox providers, models, and GitHub access
Strengths
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
Open SWE
- Covers the full loop from investigation to pull request, review, and CI follow-up
- Open source under MIT, and deployable in your own infrastructure
- Lets you choose models, sandbox providers, integrations, and approval policies
Not ideal for
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
Open SWE
- Anyone wanting a ready-to-use hosted product: the README says deploying as-is requires Managed Deep Agents, otherwise you must fork and adapt the code to your own runtime
- Teams that expect stable releases: the README says it is under active development with expected breaking changes
- People hoping to contribute issues or patches: the project is not accepting issues or external contributions at this time
- Anyone who needs strong isolation for local execution: the README says local execution does not provide cloud sandbox isolation
Trade-offs
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
Open SWE
- Under active development with breaking changes and no stability guarantee
- Deployment as-is depends on Managed Deep Agents; otherwise you must adapt it yourself
- Sandboxes have powerful tools and may have network access, so credentials must be tightly scoped
Getting started
Hermes 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)Open SWE
Clone the repository
git clone https://github.com/langchain-ai/open-sweFrequently asked questions
What is the difference between Hermes Agent and Open SWE?
Hermes Agent: A self-improving AI agent that runs in your terminal and chat apps and learns from past work. Open SWE: Open-source coding agent that takes engineering tasks and delivers pull requests, meant to be self-hosted. Hermes Agent suits developers who want a personal agent they can host on their own server or machine, while Open SWE suits engineering teams that want a self-hosted coding agent they can inspect and adapt.
Are Hermes Agent and Open SWE free?
Hermes Agent: Free and open source. Open SWE: Free and open source.
Which is easier to set up, Hermes Agent or Open SWE?
Hermes Agent is easier to get started with (rated intermediate); Open SWE is rated advanced and usually needs more setup.
Is Hermes Agent or Open SWE more popular?
Hermes Agent has more GitHub stars (260k) than Open SWE (11.2k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Hermes Agent and Open SWE?
Other options people compare them with include OpenHands, Brigade, AI Berkshire, Humanizer, Ponytail.
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.