# Add to your Claude Code skills
git clone https://github.com/rome-os/romerome is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by rome-os. Rome is the agentic OS. It has 80 GitHub stars.
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Clone the repository with "git clone https://github.com/rome-os/rome" and add it to your Claude Code skills directory (see the Installation section above).
rome is primarily written in TypeScript. It is open-source under rome-os on GitHub, so you can review or fork the full source.
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Most progress in AI comes from scaling models. Rome scales the other axis, the environment: the tools, workflows, memory, and interfaces an agent works within (why this matters).
Rome is a guardrailed environment where human and agent collaborate, and the collaboration compounds. Agents build their own harnesses, design their own SOPs, and orchestrate workflows under your guidance. Proven capabilities stick. Every interaction raises the ceiling for the next.
Rome Cloud provisions a private Rome environment for each guardian. It is currently available as a preview.
One script checks for Docker, pulls the published image, and starts Rome:
curl -fsSL https://raw.githubusercontent.com/rome-os/rome/main/scripts/quickstart-docker.sh | bash
Or clone the repository and run the script from it:
git clone https://github.com/rome-os/rome.git
cd rome
./scripts/quickstart-docker.sh
The dashboard comes up at http://localhost:7663, bound to loopback only —
first-run onboarding is open to whoever reaches it first, so exposing it
beyond the machine takes an explicit --bind. State lives in named Docker
volumes, so re-running the script upgrades the container without losing data.
Telemetry export stays off unless you set OTEL_EXPORTER_OTLP_ENDPOINT. Run
the script with --help for ports, profiles, and the other settings it
forwards.
To run this repository from source, you need:
From a checkout of this repository:
corepack enable
pnpm install
pnpm dev:all
pnpm dev:all starts the production-shaped local stack: Rome, observability,
routing, and the web development server. It connects to https://romeos.cc by
default; set ROME_DEV_PANTHEON_ORIGIN to use another Rome Cloud deployment.
The script prints the local URLs and development credentials when startup completes.
This is the contributor development path, not the final production self-hosting
distribution. See CLAUDE.md for the complete development loop,
container commands, and validation requirements.
Rome App is the new way to interact with your agent.
Chat is a good place to ask for something once. Repeated work deserves a place of its own: an inbox that remembers what was triaged, a code review loop you can inspect, a price tracker that keeps watching, or a morning brief that arrives on schedule.
A Rome App combines a purpose-built interface, agent reasoning, reusable workflows, and persistent data into one installable product. It is not a thin wrapper around a prompt. The app remains useful after the conversation ends, after the browser closes, and when the user comes back tomorrow.
| Purpose-built UI & UX | AI-native | Persistent by default | Community-powered |
|---|---|---|---|
| An interface designed for the job | Agents are part of how the product works | Data and workflows carry forward | Install, share, and learn from other builders |
A useful rule of thumb: a workflow is a verb; an app is a noun. Use a workflow to perform a task and return a result. Build an app when the work needs a home of its own—with user-editable data, multiple actions, or a persistent agent.
When there is not an app for what you need, describe it to Rome in plain language. Rome can turn that request into a short specification, scaffold the app or workflow, build it into your instance, and keep iterating with you in the same conversation.
The result is ordinary, git-tracked source code rather than hidden model state. Keep it private, adapt it as your needs change, or publish it for others to install from the App Store. This creates Rome's self-evolution loop:
Describe a need → Rome builds the capability → the app keeps working
↑ ↓
└──────────── refine, reuse, and share ────────┘
A Rome App starts with an app.yaml manifest and can ship any mix of:
| Artifact | Purpose |
|---|---|
| Actions | Typed operations that agents, routines, and app code can invoke |
| Agents | App-owned collaborators with their own instructions and tools |
| Skills | Plain-language procedures loaded when an agent needs them |
| Hooks | Extensions to message, event, and agent-turn lifecycles |
| Web UI & APIs | Purpose-built interfaces and app-owned HTTP surfaces |
| Database & files | Persistent, app-private state that survives across runs |
Together these form a capability: the unit Rome discovers and reuses in later work. The app is that capability's human interface: apps organize human interaction; capabilities organize agent action.
Apps build on two public SDKs:
@rome-os/app-runtime for backend capabilities.@rome-os/app-web-sdk for embedded web interfaces and the Rome build CLI.Browse the Rome App Store, read the building guide, or start with the app quickstart.
These are the kinds of requests Rome is designed to follow through on:
Rome can handle one-off tasks, scheduled work, long-running follow-through, and purpose-built app experiences without forcing everything into one chat window.
Rome is a pnpm monorepo.
| Path | What lives there |
|---|---|
packages/core/ |
Agent runtime, sessions, actions, events, channels, policies, memory, and persistence |
packages/web/ |
Guardian-only web dashboard |
packages/desktop/ |
Electron shell and local Rome runtime |
rome_apps/ |
First-party Rome Apps loaded through the same app model |
packages/app-runtime-sdk/ |
Public backend SDK for Rome Apps |
packages/app-web-sdk/ |
Public web SDK and app build tooling |
docs/ |
Product concepts, architecture, decision records, and operations |
Common checks:
pnpm typecheck
pnpm test:unit
pnpm lint
pnpm build
VISION.md — why Rome exists and the product principles it protects.docs/concepts/ — canonical domain vocabulary.docs/architecture/ — component boundaries and
system invariants.