Hermes Agent vs Kilo Code
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 AI coding agent for VS Code, JetBrains, or the command line.
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 Kilo Code if you need…
- Developers who want an AI coding agent inside VS Code or JetBrains
- People who want to choose among many AI models for different tasks
- Teams wanting automated AI checks in CI/CD pipelines using the CLI
- Developers who prefer open source tools they can inspect and modify
Side-by-side
| Hermes Agent | Kilo Code | |
|---|---|---|
| Type | AI model / agent | AI model / agent |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 260k | 27.8k |
| Setup difficulty | Intermediate | Beginner |
| How you get it | See the README | Install with a package manager |
| Main language | Python | TypeScript |
| 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.
Kilo Code
Kilo Code is an AI coding agent that works inside VS Code, JetBrains IDEs, or a terminal CLI. You describe a change in plain language and the agent writes or edits code across multiple files, can run commands, and can switch between many AI models. According to the README, you pay the model provider's rate with no markup and can start without an API key.
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
Kilo Code
- Developers who want an AI coding agent inside VS Code or JetBrains
- People who want to choose among many AI models for different tasks
- Teams wanting automated AI checks in CI/CD pipelines using the CLI
- Developers who prefer open source tools they can inspect and modify
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
Kilo Code
- Open source under the MIT license, so the code can be read and reused
- Works across VS Code, JetBrains, and the command line
- Lets you switch between many models mid-task
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
Kilo Code
- People who want a fully offline tool, since the README describes use of model providers and a cloud service
- Non-programmers, since it is built for editing and running code
- Anyone running untrusted automation, because --auto approves prompts unless a rule denies them
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
Kilo Code
- Model access and pricing depend on the provider and Kilo's hosted service, which the README describes only briefly
- Autonomous mode skips permission prompts unless rules block actions, so it needs careful setup
- The README is truncated, so some details like the full feature set and limits are not confirmed here
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)Kilo Code
Install the CLI with npm
npm install -g @kilocode/cliInstall the CLI with curl
curl -fsSL https://kilo.ai/cli/install | bashFrequently asked questions
What is the difference between Hermes Agent and Kilo Code?
Hermes Agent: A self-improving AI agent that runs in your terminal and chat apps and learns from past work. Kilo Code: Open source AI coding agent for VS Code, JetBrains, or the command line. Hermes Agent suits developers who want a personal agent they can host on their own server or machine, while Kilo Code suits developers who want an ai coding agent inside vs code or jetbrains.
Are Hermes Agent and Kilo Code free?
Hermes Agent: Free and open source. Kilo Code: Free and open source.
Which is easier to set up, Hermes Agent or Kilo Code?
Kilo Code is easier to get started with (rated beginner); Hermes Agent is rated intermediate and usually needs more setup.
Is Hermes Agent or Kilo Code more popular?
Hermes Agent has more GitHub stars (260k) than Kilo Code (27.8k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Hermes Agent and Kilo Code?
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.