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Uniac CLI: build and run web apps, websites, agents and databases on Uniac, the cloud platform for AI agents.","maintainers":[{"name":"anzsh","email":"andrew@uniac.ai"}],"readme":"# @uniac/cli\n\nBuild and run web apps, websites, agents, databases and background workers\non [Uniac](https://uniac.ai), the cloud platform for AI agents. A coding agent\nsuch as Claude Code, Cursor or Codex describes the application and the cloud\nresources it needs in one file and deploys every service with one command,\nand the dashboard shows what is running and what it costs. Pricing is\nusage-based, on a $5 monthly subscription.\n\n`uniac` is its command-line tool. It reads a `uniac.yaml` describing the\napplication's services, builds or pulls their images, pushes them and\ndeploys every service in one run, then reads the live state back: services,\nreplicas, endpoints and volumes. A project runs an application's services as\ncontainers on a private network, with public HTTP and TCP endpoints and\npersistent volumes.\n\nDocumentation is at [docs.uniac.ai](https://docs.uniac.ai); a coding agent\nsets a machine up from [uniac.ai/agents.md](https://uniac.ai/agents.md).\n\n## Install\n\n```bash\nnpm i -g @uniac/cli\n```\n\nOr run without installing:\n\n```bash\nnpx -y @uniac/cli version\n```\n\n## Quickstart\n\nA project is a directory with a `uniac.yaml` describing its services\nand deployments as static resources:\n\n```yaml\nruntime: yaml\nresources:\n  worker:\n    type: service\n    image: \"mendhak/http-https-echo:31\"\n    env: { GREETING: hello }\n  workera:\n    type: deployment\n    from: worker\n    public_ports: [{ port: 8080, type: http }]\n```\n\nEach deployment instantiates one service named by its resource key (`workera`),\nwith optional `replicas` and `public_ports`. A workspace can combine\nseveral directories containing `uniac.yaml` under one project binding:\n\n```yaml\nworkspace:\n  includes: [./api, ./worker]\n```\n\nRunning a command from an included directory operates on the whole project.\n\n```bash\nuniac init                     # scaffold uniac.yaml (also: npm create @uniac@latest)\nuniac plan                     # resolve + preview the deployable (no network)\nuniac project create my-app    # create the remote project\nuniac link my-app              # bind this directory to it\nuniac deploy                   # ship it\n```\n\nFull manifest reference:\n[Composition in YAML](https://docs.uniac.ai/composition/yaml).\n\n## How it works\n\n`@uniac/cli` is a tiny JS shim plus one `optionalDependencies` entry\nper supported platform (`@uniac/cli-darwin-arm64`, …), each carrying\nthe prebuilt Go binary. npm installs only the package whose `os`/`cpu`\nfields match the machine and verifies its registry checksum; the shim\nresolves that package's binary and runs it with your argv.\n\nNo package in the set has install scripts or fetches anything outside\nthe npm registry, so installs work in restricted environments — CI,\ncontainers, AI-agent sandboxes — including under `--ignore-scripts`\nand behind proxies or registry mirrors.\n\nSupported platforms: `darwin-arm64`, `darwin-x64`, `linux-arm64`,\n`linux-x64`, `win32-arm64`, `win32-x64` — the authoritative table is\n`targets.js` in this package.\n\n## Releasing\n\n`.github/workflows/release.yml` publishes on `v*` tags: it runs\n`scripts/package-platform-npm.js`\nto stage the platform packages and this meta package (with\nexact-version `optionalDependencies` pins) from GoReleaser's `dist/`,\nthen publishes the platform packages followed by the meta package.\nThis directory is the staging template; the published copies live only\nunder the gitignored `platform-packages/`. The repository's root `README.md`\nholds the full release runbook.\n\nTo deprecate (or un-deprecate) a published version, dispatch\n`.github/workflows/npm-deprecate.yml` — the npm token lives only in\nCI.\n\n## License\n\nMIT. See `LICENSE`.\n","readmeFilename":"README.md"}