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[Auto Studio](https://studio.on.auto) lets you inspect and manage them.\n\nFor hosted Auto, connect your agent to `https://mcp.on.auto` and open Studio at `https://studio.on.auto`: the [quick start](https://on.auto/docs/get-started/cloud) needs nothing installed and no model key. This package runs Auto Runtime yourself, on a server for your team or on your own computer. It needs Node.js 26.10 or later, with its `npx`, on macOS or Linux.\n\n## Run it for your team\n\nA team's runtime is reached at its `PUBLIC_URL`, the `https` address people sign in at, with HTTPS in front of the port it listens on, `5555` on `127.0.0.1` unless `PORT` and `HOST` say otherwise:\n\n```bash\nPUBLIC_URL=https://auto.example.com npx @on.auto/runtime\n```\n\nPeople sign in through the Auto identity service. When it is ready, it prints that address for Studio, `https://studio.on.auto/?server=https://auto.example.com`, for the server and for its MCP endpoint, and the commands that connect an agent to it, such as `claude mcp add --transport http auto-runtime https://auto.example.com/mcp`. For a deployment, run the same release as the image `docker.on.auto/onauto/runtime`, as [Deploy for your team](https://on.auto/docs/self-host/production) sets out.\n\n## Run it on your computer\n\n### Connect your agent\n\n<!-- x-release-please-start-version -->\n\nAdd Auto Runtime to your agent as an MCP server that runs `npx -y @on.auto/runtime@0.56.0 mcp`, the release this README comes with, such as:\n\n```bash\nclaude mcp add auto-runtime -- npx -y @on.auto/runtime@0.56.0 mcp\ncodex mcp add auto-runtime -- npx -y @on.auto/runtime@0.56.0 mcp\n```\n\n<!-- x-release-please-end -->\n\nWhen your agent connects, the command starts Auto Runtime in the background if it is not running yet, and relays your agent to it. The runtime it starts keeps running after your agent leaves, so the workflows it runs carry on and other agents reach the same one. It reads its settings from `~/.auto-runtime/.env`, where you put a model provider's key, such as `ANTHROPIC_API_KEY`, and writes its log to `~/.auto-runtime/runtime.log`. When no model provider is set up, your agent is told which file the key goes in and how to restart the runtime once it is there.\n\nWhile your agent is connected, the command watches each call: the runtime sends a heartbeat every 5 seconds while it works on one, and the command pings it when 15 seconds pass with none. When Auto Runtime stops, for example when you close the terminal it runs in, the next request waits up to 5 seconds for it to come back, then starts one in the background. When the runtime the command started stops answering, the command stops it and starts another, and `~/.auto-runtime/runtime.log` says what it did. A request that never reached the runtime is sent again. A tool call that may have reached it is never sent twice: once the command has made sure the runtime runs, your agent is told to look at the playbook, its definitions and its runs for whether it took effect, and whether Auto Runtime runs again or why it does not. A runtime started in a terminal or by another agent's connection, one that asks for a credential, and another program on the port are left alone, and your agent is told what to do. Your agent hears back within 45 seconds of a request the command holds, and a request it cancels meanwhile is never sent.\n\n### Start it yourself\n\n```bash\nnpx @on.auto/runtime\n```\n\nWithout `PUBLIC_URL` or `API_KEYS`, the server starts at `http://localhost:5555` in local mode: no one signs in, and every request on your computer acts as you, the local developer, in the org `local`. Do not expose it through a tunnel or public proxy. Its MCP endpoint is `http://localhost:5555/mcp`; connect Claude Code with:\n\n```bash\nclaude mcp add --transport http auto-runtime http://localhost:5555/mcp\n```\n\nTo sign in through the Auto identity service on your own computer instead, set `PUBLIC_URL=http://localhost:5555`: the first time it connects, your agent then opens the sign-in page in your browser.\n\nIn local mode, `http://localhost:5555` shows which release runs, in which process, since when and from which directory, with buttons that restart and stop it, and `http://localhost:5555/studio/` is Studio, which the runtime serves itself, since a page on a public address may not reach an address on your machine: it fetches Studio from Auto's Studio host, `STUDIO_ORIGIN`, and keeps its files in `~/.auto-runtime/auto-runtime-studio`. `SERVE_STUDIO=false` turns it off.\n\n## Configure it\n\nSettings are environment variables. The command reads them from the shell and from a `.env` file in the current directory, and the shell wins. To run reasoning functions, give it a model provider's key, such as `ANTHROPIC_API_KEY`, `OPENAI_API_KEY` or `GOOGLE_GENERATIVE_AI_API_KEY`. Settings that are lists or maps, such as model gateways and tool servers, go in `auto-runtime.yaml` in the current directory; `auto-runtime.example.yaml` in this package shows every one.\n\nThe command shows only the server's errors; set `LOG_LEVEL=warn` to see its warnings too, or `LOG_LEVEL=info` to see everything it logs.\n\nEach time it starts, Auto Runtime sends one anonymous usage ping: its version, the operating system, the processor, the version of Node.js, how it was installed and a random id for this copy, kept in `~/.auto-runtime/install-id`, never anything of your work or your keys. `DO_NOT_TRACK=1` or `USAGE_PING=false` turns it off. [Usage ping](https://on.auto/docs/self-host/configuration#usage-ping) says exactly what it sends.\n\nThe ledger, where playbooks and their runs are kept, is the SQLite file `~/.auto-runtime/ledger.db` unless `LEDGER_FILE` names another file or `DATABASE_URL` names a PostgreSQL database. The secrets it keeps are sealed under the key in `secrets.key` beside the ledger file, which the command makes at its first start, unless `SECRETS_KEY` gives one, `SECRETS_KEY_FILE` names another file or `SECRETS_KEY_KMS` names a key in AWS KMS, as a ledger in PostgreSQL needs. `PORT` changes the port.\n\n## Commands\n\n```bash\nnpx @on.auto/runtime                # start the server (also: start)\nnpx @on.auto/runtime mcp            # relay an agent over standard input and output, starting the server in the background\nnpx @on.auto/runtime status         # show the server running on this computer\nnpx @on.auto/runtime restart        # restart it\nnpx @on.auto/runtime stop           # stop it\nnpx @on.auto/runtime key --org acme # issue an API key for a machine or a pipeline\nnpx @on.auto/runtime --version\nnpx @on.auto/runtime --help\n```\n\n`status`, `restart` and `stop` control a server in local mode; one that signs people in or takes keys offers no control.\n\n## Run it in a container\n\nThe same release is the image `docker.on.auto/onauto/runtime`, from Docker Hub. See [Run with Docker](https://on.auto/docs/self-host/docker).\n\n## Compose it in your own program\n\nThe package carries each of the runtime's packages as a subpath, so a program can compose the core itself rather than run the server. `@on.auto/runtime/ledger` is the ledger, `@on.auto/runtime/ledger/sqlite3` one of the subpaths the ledger names, and `@on.auto/runtime/ledger/testing` its testing entry. A testing entry is for your tests as it is for the runtime's: `recordedContentBehaviour` of `@on.auto/runtime/content/testing`, the behaviour suite of the content port, runs against a store of your own. The test tools a testing entry imports are your tests' to provide.\n\nThe subpaths are the `.ts` sources the server runs, and they import one another by the packages' own names, such as `@on.auto/operations`. Where your bundler must resolve those names, alias each of them, with its subpaths, to the same subpath of `@on.auto/runtime`:\n\n```js\nconst names = ['activity', 'api', 'computation', 'config', 'connections', 'content', 'coordination', 'definitions', 'documents', 'generation', 'identity', 'interaction', 'json-schema', 'ledger', 'lookup', 'memory', 'meter', 'object-storage', 'operations', 'outbound', 'phrasing', 'playbooks', 'prediction', 'providers', 'reasoning', 'secrets', 'shipped-files', 'tool-servers', 'workflow-engine', 'workflow-host'];\nconst alias = Object.fromEntries(names.map((name) => [`@on.auto/${name}`, `@on.auto/runtime/${name}`]));\n```\n\nThe subpaths are TypeScript, and three of the modules they import ship no types of their own, so a program that type-checks them installs the type packages the runtime's own checks use: `@types/json-schema` for `@on.auto/runtime/reasoning`, `@types/semver` for `@on.auto/runtime/coordination`, and `@types/pg` for `@on.auto/runtime/ledger/postgresql`. The types of Node's own modules, which the subpaths import too, are `@types/node`, or those of the platform the program runs on. The declarations of `unpdf`, which `@on.auto/runtime/documents` imports, import `@napi-rs/canvas` and name types of the DOM, so a program checks them with `skipLibCheck`, as the runtime's own checks do, or installs the types of `@napi-rs/canvas` and names the DOM's in its `lib`.\n\n## License\n\nAuto Runtime is source-available under the [Elastic License 2.0](https://github.com/BeOnAuto/runtime/blob/main/LICENSE). [LICENSING.md](https://github.com/BeOnAuto/runtime/blob/main/LICENSING.md) explains the terms.\n\n<img referrerpolicy=\"no-referrer-when-downgrade\" src=\"https://static.on.auto/a.png?x-pxid=75073a78-866c-42e4-b35f-8399450f7916&page=npm-readme\" alt=\"\" width=\"1\" height=\"1\" />\n","readmeFilename":"README.md"}