Antigravity Demo

antigravity-llamaindex

A small CLI to set up and run an **Antigravity** agent backed by your own GitHub repository as a data source, with LlamaParse/LiteParse skills for parsing unstructured files.

Requirements

• Python >=3.13
• `uv`
• `gh` authenticated (gh auth login)
• A Google/Gemini API key in GOOGLE_API_KEY or GEMINI_API_KEY
• (Optional) A LlamaCloud key in LLAMA_CLOUD_API_KEY or LLAMA_PARSE_API_KEY to enable LlamaParse

Environment variables can be set in a local `.env` file.

Install

uv tool install .

This exposes the `llamagrav` command.

Usage

The CLI has four commands: `git-wiz`, `setup`, `run` and `resets`. They are meant to be run in order — each one persists state in `.config.json` in the current directory.

1. `llamagrav git-wiz` — publish your data to GitHub

Initializes a git repo from a local directory, creates a GitHub repository, pushes the contents, and saves the repository URL to `.config.json`.

llamagrav git-wiz \
    --directory ./my-data \
    --owner my-github-user \
    --repo-name my-antigravity-data \
    --description "Data for my Antigravity agent"

Flags:

Flag	Description
-d, --directory	Local directory to publish (defaults to .)
-o, --owner	GitHub user/org that will own the repo
-r, --repo-name	Name of the GitHub repo to create
--description	Optional repo description

2. `llamagrav setup` — prepare the agent environment

Provisions the remote Antigravity environment from the repository configured above and saves the resulting environment id in `.config.json`.

llamagrav setup                  # uses LlamaParse (sends LlamaCloud key)
llamagrav setup --no-send-api-key   # LiteParse only, no key sent

3. `llamagrav run` — run the agent

llamagrav run --prompt "Summarize the PDFs in /data"

4. `llamagrav reset` — reset the envi