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GeezerVison is showing docs.graphify.com — Install Graphify CLI with uv or pipx - Graphify

Don’t want to install anything? Graphify, the hosted product at app.graphify.com, indexes your GitHub repositories in the browser. We run it for you, so there’s nothing to deploy. Start with the Cloud quickstart.

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Prerequisites

RequirementCheck
Python 3.10 or lateruv installs this. With pip or a virtual environment, python3 --version
uv or pipxuv --version or pipx --version
A coding assistant, for the skill workflowChoose an integration
The standalone CLI works without an assistant. Code-only extraction does not require an API key.

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Get uv

uv downloads Python 3.10 or later for Graphify. Install uv for your system, open a new terminal, and run uv --version. 
brew install uv

curl -LsSf https://astral.sh/uv/install.sh | sh

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
The macOS command is Homebrew. The Linux and Windows commands are uv’s own installers. Other methods, including MacPorts, are in the uv installation guide.

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Install the package

uv tool install graphifyy

pipx install graphifyy

python3 -m venv .venv
.venv/bin/python -m pip install graphifyy
On Windows, a virtual environment’s executable is .venv\Scripts\python.exe. uv and pipx manage the environment for you.
The official PyPI package is graphifyy. Other similarly named packages are not the Graphify Labs package.

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Register the skill

graphify install
graphify install --platform codex
The first command detects an assistant. The second targets one explicitly. Run the specific command for each assistant you use. The package on PyPI is graphifyy. The command you run is graphify. Open the assistant in a repository and send /graphify .. That message builds the graph for the folder. Follow Your first knowledge graph to read the output and ask a question. Use --project when you want the registration committed with a repository: 
graphify install --project --platform codex
Read the installer’s list of files before committing them. Project and user registrations live in different locations.

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Optional capabilities

Install only the extras your workflow needs. Quote bracketed names in zsh.
Capabilityuv installation
MCP serveruv tool install "graphifyy[mcp]"
File watchinguv tool install "graphifyy[watch]"
PDFsuv tool install "graphifyy[pdf]"
SQL parsinguv tool install "graphifyy[sql]"
Terraformuv tool install "graphifyy[terraform]"
Office documentsuv tool install "graphifyy[office]"
Local Ollama backenduv tool install "graphifyy[ollama]"
Leiden clusteringuv tool install "graphifyy[leiden]"
Combine extras, for example uv tool install "graphifyy[mcp,watch]". If uv reports an existing installation, use its --reinstall option to replace that tool environment with the requested extras.

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Upgrade

uv tool upgrade graphifyy
graphify install --platform codex
Re-run registration for the assistants you use so their skill files match the package. If you installed git hooks, run graphify hook install again after moving or reinstalling the Python environment.

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Command not found

uv tool update-shell
Then open a new terminal. With pipx, run pipx ensurepath. If an MCP client cannot find Graphify, use an absolute executable path in its configuration.

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Remove a registration

graphify uninstall --project --platform codex
graphify uninstall removes user registrations across platforms. The optional --purge flag also deletes graphify-out/; omit it to preserve your graph. Without --project, graphify uninstall also removes the git hooks and the merge driver, and graphify hook uninstall removes only those (Turn off or remove the hooks).

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