goose is open source!
We welcome pull requests for general contributions! In these days of AI it is easier than ever to contribute, but there are some pitfalls to avoid. This document describes the best practices for new and experienced contributors to get work landed as smoothly as possible.
Tip
Beyond code, check out other ways to contribute
Your first contribution to goose should probably be a small bug fix. The goose maintainers have a lot of incoming PRs to review, and the reputation of the author is an important signal. While contributions to goose are generally of remarkably high quality, we do get our fair share of AI slop. When a first-time contributor opens a 3k line PR touching 20 files, we have no easy way to tell whether it’s thoughtful work or blindly AI-generated without doing a deep dive.
So please start small to establish trust and work your way up from there. A small bug fix or performance improvement is a good start. Linking your fix to an existing issue shows that you are responding to a community need.
If your first PR gets closed with a link to this section, please don’t take it personally. It just means the change was too large for a first contribution. Start with something smaller and try again.
If you spot a bug or have a concrete proposal for a feature, please open an issue. This shows the community and the maintainers the direction of your thinking.
For bugs, describe how to reproduce the problem as clearly as possible. If the issue involves an interaction with an LLM, include a diagnostics report if possible.
If you have an idea but are not yet sure how it should work, open a discussion instead. Discussions are a good place to explore design questions, alternatives, and whether something fits the goals of the project.
If a change is large or touches multiple parts of the codebase, please start with a discussion before opening a PR. This helps us align on direction before you spend time implementing something.
Open a PR when you have a concrete change ready. For first contributions we strongly recommend starting small (see Getting Started). Don't open many PRs in quick succession. Submit them in order of your preference and wait for them to land before opening more.
If the code is still evolving but useful for discussion, open the PR in draft mode. Draft PRs are for discussion, not just unfinished work. If it’s not ready yet, keep the branch local.
Before proposing a new feature, consider whether it is something broadly useful or mainly a personal preference. Adding features is easy; maintaining them is a long-term cost, so we may decline features that add complexity without clear general benefit.
We use codex as an AI code reviewer. AI code reviewing has come a long way and more often than not points out real issues. So we expect you to address all of them by either fixing the code or adding a one-line answer as to why this is not an issue or not worth fixing.
If not, we might close the PR and/or reply with a link to this section. Once you address the comments, you can always reopen.
There's no need to tell us you used AI in your work. You are contributing to an agent, it would be odd if you had not. Our general thinking is, use AI any way you want, but until the robot revolution comes, you are responsible for the final code. Before submitting a PR for review, make sure you have reviewed it yourself. We'll close any vibe coded submissions that obviously skip this step.
You can use whatever agent and whatever methodology you like as long as you stick to that principle. We hope you like goose of course and use that. One thing to watch out for is LLM eagerness. They like to please and are in a hurry.
- Think first. Agents tend to jump straight to code writing. Explain the architecture you want first to avoid this behavior, based on your own understanding of the code, or have the agent explore the code first and suggest approaches. If the first implementation doesn't look quite right, just start over and use what you learned to do better next time.
- Spot the laziness. LLMs will make their job easy. They'll write trivial tests, make types wide and optional so the compiler doesn't complain, catch exceptions and just log instead of handling errors and copy local patterns whether appropriate or not. Push back!
- Spot the uncertainty. As much as the bots declare I see the issue now clearly, they often do not. Call them on it, if you see the agent flailing. Another telltale sign is if the agent starts listing the number of ways it fixed an issue or starts writing overly defensive code.
- Spot the bloat. Agents like to insert redundant comments or worse, commenting on the change at hand, not the resulting code. They create loads of tests that don't really test anything and if they do, test the implementation, not the intention. They also like to log anything, just in case.
goose includes Rust binaries alongside an electron app for the GUI.
We use Hermit to manage development dependencies (Rust, Node, pnpm, just, etc.). Activate Hermit when entering the project:
source bin/activate-hermitOr add shell hook auto-activation so Hermit activates automatically when you cd into the project (recommended).
We provide a shortcut to standard commands using just in our justfile.
For WSL users, you might need to install build-essential and libxcb otherwise you might run into cc linking errors (cc stands for C Compiler).
Install them by running these commands:
sudo apt update # Refreshes package list (no installs yet)
sudo apt install build-essential # build-essential is a package that installs all core tools
sudo apt install libxcb1-dev # libxcb1-dev is the development package for the X C Binding (XCB) library on Linux
First let's compile goose and try it out Since goose requires Hermit for managing dependencies, let's activate hermit.
cd goose
source ./bin/activate-hermit
cargo build
When that completes, debug builds of the binaries are available, including the goose CLI:
./target/debug/goose --help
For first-time setup, run the configure command:
./target/debug/goose configure
Once a connection to an LLM provider is working, start a session:
./target/debug/goose session
These same commands can be recompiled and immediately run using cargo run -p goose-cli for iteration.
When making changes to the Rust code, test them on the CLI or run checks, tests, and the linter:
cargo check # verify changes compile
cargo test # run tests with changes
cargo fmt # format code
cargo clippy --all-targets -- -D warnings # run the linter
To run the app:
just run-ui
This command builds a release build of Rust (equivalent to cargo build -r) and starts the Electron process.
The app opens a window and displays first-time setup. After completing setup, goose is ready for use.
Make GUI changes in ui/desktop.
The file ui/desktop/openapi.json is automatically generated during the build.
It is written by the generate_schema binary in crates/goose-server.
To update the spec without starting the UI, run:
just generate-openapi
This command regenerates ui/desktop/openapi.json and then runs the UI's
generate-api script to rebuild the TypeScript client from that spec.
API changes should be made in the Rust source under crates/goose-server/src/.
To debug the Goose server, run it from an IDE. The configuration will depend on the IDE. The command to run is:
export GOOSE_SERVER__SECRET_KEY=test
cargo run --package goose-server --bin goosed -- agent # or: `just run-server`
The server listens on port 3000 by default; this can be changed by setting the
GOOSE_PORT environment variable.
Once the server is running, start a UI and connect it to the server by running:
just debug-ui
The UI connects to the server started in the IDE, allowing breakpoints and stepping through the server code while interacting with the UI.
To fork the repository:
- Go to https://github.com/aaif-goose/goose and click “Fork” (top-right corner).
- This creates https://github.com//goose under your GitHub account.
- Clone your fork (not the main repo):
git clone https://github.com/<your-username>/goose.git
cd goose
- Add the main repository as upstream:
git remote add upstream https://github.com/aaif-goose/goose.git
- Create a branch in your fork for your changes:
git checkout -b my-feature-branch
- Sync your fork with the main repo:
git fetch upstream
# Merge them into your local branch (e.g., 'main' or 'my-feature-branch')
git checkout main
git merge upstream/main
- Push to your fork. Because you’re the owner of the fork, you have permission to push here.
git push origin my-feature-branch
- Open a Pull Request from your branch on your fork to aaif-goose/goose’s main branch.
To ensure a smooth integration of your contributions, it's important that your fork is kept up-to-date with the main repository. This helps avoid conflicts and allows us to merge your pull requests more quickly. Here’s how you can sync your fork:
-
Add the Main Repository as a Remote (Skip if you have already set this up):
git remote add upstream https://github.com/aaif-goose/goose.git
-
Fetch the Latest Changes from the Main Repository:
git fetch upstream
-
Checkout Your Development Branch:
git checkout your-branch-name
-
Merge Changes from the Main Branch into Your Branch:
git merge upstream/main
Resolve any conflicts that arise and commit the changes.
-
Push the Merged Changes to Your Fork:
git push origin your-branch-name
This process will help you keep your branch aligned with the ongoing changes in the main repository, minimizing integration issues when it comes time to merge!
Before you submit a pull request, please ensure your fork is synchronized as described above. This check ensures your changes are compatible with the latest in the main repository and streamlines the review process.
If you encounter any issues during this process or have any questions, please reach out by opening an issue, and we'll be happy to help.
You may want to make more frequent changes to your provider setup or similar to test things out as a developer. You can use environment variables to change things on the fly without redoing your configuration.
Tip
At the moment, we are still updating some of the CLI configuration to make sure this is respected.
You can change the provider goose points to via the GOOSE_PROVIDER env var. If you already
have a credential for that provider in your keychain from previously setting up, it should
reuse it. For things like automations or to test without doing official setup, you can also
set the relevant env vars for that provider. For example ANTHROPIC_API_KEY, OPENAI_API_KEY,
or DATABRICKS_HOST. Refer to the provider details for more info on required keys.
When testing changes or running multiple goose configurations, use GOOSE_PATH_ROOT to isolate your data:
# Test with a clean environment
export GOOSE_PATH_ROOT="/tmp/goose-test"
./target/debug/goose session
# Or for a single command
GOOSE_PATH_ROOT="/tmp/goose-dev" cargo run -p goose-cli -- sessionThis creates isolated config/, data/, and state/ directories under the specified path, preventing your test sessions from affecting your main goose installation. See the environment variables guide for more details.
Enable traces in goose with locally hosted Langfuse
- Start a local Langfuse using the docs. Create an organization and project and create API credentials.
- Set the environment variables so that goose can connect to the langfuse server:
export LANGFUSE_INIT_PROJECT_PUBLIC_KEY=publickey-local
export LANGFUSE_INIT_PROJECT_SECRET_KEY=secretkey-local
Then you can view your traces at http://localhost:3000
This project follows the Conventional Commits specification for PR titles. Conventional Commits make it easier to understand the history of a project and facilitate automation around versioning and changelog generation.
This project requires a Developer Certificate of Origin sign-offs on all commits. This is a statement indicating that you are allowed to make the contribution and that the project has the right to distribute it under its license. When you are ready to commit, use the --signoff or -s flag to attach the sign-off to your commit.
git commit --signoff ...
# OR
git commit -s ...
There are numerous ways to be an open source contributor and contribute to goose. We're here to help you on your way! Here are some suggestions to get started. If you have any questions or need help, feel free to reach out to us on Discord.
- Stars on GitHub: If you resonate with our project and find it valuable, consider starring our goose on GitHub! 🌟
- Ask Questions: Your questions not only help us improve but also benefit the community. If you have a question, don't hesitate to ask it on Discord.
- Give Feedback: Have a feature you want to see or encounter an issue with goose, click here to open an issue, start a discussion or tell us on Discord.
- Participate in Community Events: We host a variety of community events and livestreams on Discord every month, ranging from workshops to brainstorming sessions. You can subscribe to our events calendar or follow us on social media to stay in touch.
- Improve Documentation: Good documentation is key to the success of any project. You can help improve the quality of our existing docs or add new pages.
- Help Other Members: See another community member stuck? Or a contributor blocked by a question you know the answer to? Reply to community threads or do a code review for others to help.
- Showcase Your Work: Working on a project or written a blog post recently? Share it with the community in our #share-your-work channel.
- Give Shoutouts: Is there a project you love or a community/staff who's been especially helpful? Feel free to give them a shoutout in our #general channel.
- Spread the Word: Help us reach more people by sharing goose's project, website, YouTube, and/or Twitter/X.