Quickstart
From zero to your first autonomous run in about five minutes. Each step is copy-paste.
1 · Install
Pick whichever line matches your machine — ripgrep comes along with the packaged paths:
# Homebrew (macOS or Linux) brew install section9labs/tap/rupu # Arch Linux (AUR) yay -S rupu-bin # Debian / Ubuntu — .deb from the releases page (Fedora/RHEL: .rpm + dnf) sudo apt install ./rupu_<version>_amd64.deb # bare binary: rupu-darwin-arm64 | rupu-linux-x64 | rupu-linux-arm64 chmod +x rupu-linux-x64 && sudo mv rupu-linux-x64 /usr/local/bin/rupu rupu --version
Every asset lives on the releases page. Nix, hosted APT/YUM repositories, and the from-source build are all in Overview & install.
Already installed? Keep it current with rupu update — it self-updates in place and keeps a backup for --rollback. Add --channel beta for early-access prereleases. If you installed through a package manager, upgrade through it instead — on a .deb / .rpm install rupu update refuses and tells you as much, and --check keeps working either way.
2 · Initialize & connect a model
init scaffolds .rupu/ in the current repo with a set of starter agents and workflows; auth login connects a model provider (credentials are written to ~/.rupu/auth.json, mode 0600).
rupu init
rupu auth login # pick anthropic / openai / gemini / copilot
rupu auth status
See Providers & Auth for the full provider + auth-mode list — and note each agent can use a different provider, so one workflow can mix models.
3 · Run your first agent
The starter set includes a code-reviewer agent. Point it at your current diff:
rupu run code-reviewer --prompt "Review the changes on this branch" # everything is recorded as a JSONL transcript you can replay rupu transcript --last
An agent is just a Markdown file (config in YAML frontmatter + a system prompt). Open .rupu/agents/code-reviewer.md to see one — full format in Agents.
4 · Run your first workflow
Workflows compose agents into steps. review-changed-files (bundled by init) fans a reviewer across every changed file in parallel, then summarizes:
rupu workflow run review-changed-files \
--input files="$(git diff --name-only main...HEAD)"
List what's available with rupu workflow list. More shapes — sequential hand-offs, parallel review panels with gated fix-loops — in Workflows and Examples.
5 · Open the Control Plane
Prefer a browser? Launch the local web command center to author, launch, watch, and approve runs — including the drag-and-drop visual workflow editor:
rupu cp serve # opens http://127.0.0.1:7878
Tour of every surface in Control plane.
6 · (Optional) Add a host
Drive rupu on another machine from this same Control Plane. On the remote, serve the API; on your machine, register it:
# on the remote machine (behind TLS) rupu cp serve --bind 0.0.0.0:7878 --token "$RUPU_HOST_TOKEN" --no-open # on your machine rupu host add gpu-box --url https://gpu.internal --token "$RUPU_HOST_TOKEN" rupu host list
Then pick the host in the launcher. See Multi-host.
Where to next
Agents →
Author your own specialists — provider, model, tools, permissions, prompt.
Workflows →
Compose agents into steps, fan-out, panels, and gated review loops.
Autoflows →
Let workflows run themselves on a schedule or an SCM event.
Examples →
Complete, copy-paste scenarios — review panels, issue→PR, a fleet.