Codewhale vs OpenCode
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 terminal coding agent, written in Rust, that edits files and runs commands with any AI model.
Open source · MIT
An open source AI coding agent you run in your terminal, with a desktop app in beta.
The short answer
Choose Codewhale if you need…
- Developers who want an AI agent working inside a terminal and a git repository
- People who want to switch between model providers or use a local model
- Users who want a record of what the agent changed and ran
- Teams that want to run one task non-interactively in scripts or CI via codewhale exec
Choose OpenCode if you need…
- Developers who want an AI agent that works inside their terminal and existing projects
- People exploring an unfamiliar codebase who want a read-only agent that asks before running commands
- Developers comfortable installing tools via npm, Homebrew, or similar package managers
- Teams wanting an MIT-licensed, inspectable agent rather than a closed product
Side-by-side
| Codewhale | OpenCode | |
|---|---|---|
| Type | CLI | AI model / agent |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 41.2k | 224k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | See the README | Install with a package manager |
| Main language | Rust | TypeScript |
| Last code update | 4 days ago | 4 days ago |
What each one is
Codewhale
Codewhale is an open-source coding agent you run in your terminal. You give it a task, and it reads your git repository, edits files, and runs commands until the task is done or it needs your input. It works with more than 40 built-in providers and with local models, and its /receipts command lists the files changed, commands run, and web and MCP calls made.
OpenCode
OpenCode is an open source AI coding agent that helps you work on software projects. The README describes it as a terminal-based tool with a built-in set of agents you can switch between, such as a build agent for making changes and a read-only plan agent for exploring code. It is also offered as a desktop application in beta.
Best for
Codewhale
- Developers who want an AI agent working inside a terminal and a git repository
- People who want to switch between model providers or use a local model
- Users who want a record of what the agent changed and ran
- Teams that want to run one task non-interactively in scripts or CI via codewhale exec
OpenCode
- Developers who want an AI agent that works inside their terminal and existing projects
- People exploring an unfamiliar codebase who want a read-only agent that asks before running commands
- Developers comfortable installing tools via npm, Homebrew, or similar package managers
- Teams wanting an MIT-licensed, inspectable agent rather than a closed product
Strengths
Codewhale
- Supports many providers, including OpenAI-compatible endpoints and local runtimes like Ollama
- Records files changed, commands run, and web and MCP calls through /receipts
- Asks before running non-read-only shell commands in the default Ask permission
OpenCode
- Open source under the MIT license, so the code can be read and reused
- The plan agent denies file edits by default and asks before bash commands, which adds a safety layer
- Available through many install routes including npm, Homebrew, Arch Linux, Nix, and mise
Not ideal for
Codewhale
- People who want a point-and-click app with no terminal, since it is a command-line tool
- Anyone who cannot review diffs or approve shell commands, because the default settings apply file edits without asking and Full Access turns off the sandbox
- Users who need guaranteed results, since the README does not describe accuracy or benchmarks
OpenCode
- Non-programmers, since the tool is built around reading and editing code (reason: the README assumes development work)
- People who need a stable, fully supported desktop app (reason: the desktop app is marked BETA in the README)
- Anyone who cannot review AI-generated code changes before accepting them (reason: the build agent has full access for development work)
Trade-offs
Codewhale
- Default settings apply file edits without asking, and Full Access disables the shell sandbox, so careful permission choices matter
- Some features are marked experimental or tied to specific releases, such as the ChatGPT plan login
- The README is truncated here, so setup details beyond the install command are limited in this summary
OpenCode
- The README does not detail which AI models or providers it supports, so check the docs before relying on it
- The desktop app is beta and the README's install paths include both a stable and a 'v2' install route, which may be confusing
- The README is truncated in this analysis, so some setup details and limits are not confirmed here
Getting started
Codewhale
Install on macOS and Linux
curl -fsSL https://codewhale.net/install.sh | shInstall via npm
npm install -g codewhaleOpenCode
Install via npm
npm i -g @opencode/cli@latestInstall via Homebrew (macOS and Linux)
brew install anomalyco/tap/opencode-v2Frequently asked questions
What is the difference between Codewhale and OpenCode?
Codewhale: A terminal coding agent, written in Rust, that edits files and runs commands with any AI model. OpenCode: An open source AI coding agent you run in your terminal, with a desktop app in beta. Codewhale suits developers who want an ai agent working inside a terminal and a git repository, while OpenCode suits developers who want an ai agent that works inside their terminal and existing projects.
Are Codewhale and OpenCode free?
Codewhale: Free and open source. OpenCode: Free and open source.
Is Codewhale or OpenCode more popular?
OpenCode has more GitHub stars (224k) than Codewhale (41.2k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Codewhale and OpenCode?
Other options people compare them with include jcode, Agent Reach, omp.
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.