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penguin-harness/packages/docs/content/quickstart.en.md
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Yaowei Zheng 45bfae6e94 Initialize repository with harness code and assets
Initial import of all source code, config, and README assets: the
packages workspace (cli, core, server, web, docs, landing, skills),
build scripts, tooling config, and CI workflows.

Includes the data-layout revision made on this branch: the local data
root defaults to ~/.penguin/data (PENGUIN_HOME still overrides; the
installer keeps its binaries in ~/.penguin), and every Agent lives
under <project>/agents/<agent>/ — path helpers, the three
agent-enumeration scans, the system prompt, built-in Skills, tests
and docs all follow the new layout.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018ihk8iQuo3kv2aPjAYEPuR
2026-07-19 14:06:53 +08:00

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2.5 KiB
Markdown

---
title: Quickstart
description: Install PenguinHarness, configure a model, and run your first Task.
---
## Install
One-liner for Linux / macOS:
```bash
curl -fsSL https://github.com/Prism-Shadow/penguin-harness/releases/latest/download/install.sh | sh
```
For other options (npm, from source), see [Installation](/installation).
## Configure a model
PenguinHarness ships with no built-in model credentials, so configure a model first. Use the Models page in the Web UI, or the CLI:
```bash
penguin config model add --model-id deepseek-v4-pro --api-key sk-... --set-default
```
- When `--provider` is omitted, the Provider is inferred from the built-in catalog.
- The API key can also come from environment variables: when a model entry has no inline api_key, AgentHub (the LLM gateway library) reads variables such as `DEEPSEEK_API_KEY`, `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, and `GEMINI_API_KEY`. A `.env` file in the working directory is loaded automatically.
## Start the Web App
```bash
penguin web
```
The service runs at http://127.0.0.1:7364 and opens your browser (`--no-open` to skip). First login is `admin` / `admin123` — change it right away. `penguin server` starts the same process headless.
## One-shot run
```bash
penguin run -m "Create hello.txt containing Hello, Penguin"
```
The Workspace defaults to the current directory; pass `--workspace /path` to change it. The target directory must already exist.
## Interactive chat
```bash
penguin chat
```
- Each input line starts a Task.
- `/compact` compacts the context; `/exit` or `/quit` quits; Ctrl-C interrupts the running Task.
- On exit it prints a `penguin chat --resume <sessionId>` hint for resuming this Session; `--resume` without an id resumes the Agent's latest Session.
## SDK hello
After installing `@prismshadow/penguin-core`:
```ts
import { createAgent, isCompleteModelMessage, userText } from "@prismshadow/penguin-core";
const agent = await createAgent({ agentId: "default_agent" });
const session = await agent.createSession({ workspaceDir: process.cwd() });
for await (const output of session.run([userText("Create hello.txt containing hi")], {
approve: async () => "allow",
})) {
if (isCompleteModelMessage(output) && output.payload.type === "text") {
console.log(output.payload.text);
}
}
```
## Next steps
- [Web App Guide](/web-app): use PenguinHarness from the browser.
- [CLI Reference](/cli): the full list of commands and options.
- [Architecture Overview](/architecture): how the pieces fit together.