# datawhalechina/hello-claw

哈喽！龙虾 🙋‍♀️ Adopt from scratch and build your first claw 🦞 来领养你的第一只龙虾！

Repository: https://github.com/datawhalechina/hello-claw
Canonical: https://ross.abutalabs.com/products/hello-claw
Homepage: https://datawhalechina.github.io/hello-claw
Language: JavaScript
License Family: other
Topics: ai, assistant, llm, openclaw, own-your-data, personal, tutorial, skills, clawuhub
Last push: 2026-08-19T23:23:39+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 13
- inputs: {"age_days": 182, "days_push": 14, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2196, forks 230 (observed 2026-08-28T04:06:25.142840+00:00)

## What it is
A comprehensive open-source tutorial (in Chinese, with English/Japanese READMEs) for OpenClaw, a command-line AI assistant system. It covers installing and using OpenClaw, practical Skills-based workflows, and building your own agent from scratch by dissecting its architecture.

## Use cases
- learn how to set up a personal AI assistant from scratch
- connect an AI agent to Telegram, QQ, or Feishu
- build my own AI agent runtime like OpenClaw
- automate daily reports and scheduled reminders with an AI assistant
- understand agent architecture, prompt systems, and message loops
- find and install useful skills for my AI assistant
- deploy an AI assistant on a VPS or Raspberry Pi

## When to choose
- you want a structured, beginner-friendly path to using or building OpenClaw
- you want to run a personal AI assistant reachable via chat apps
- you are a developer who wants to dissect agent internals and build a custom version

## When to avoid
- you need production software rather than a tutorial
- you use a different agent framework than OpenClaw
- you need a permissively licensed codebase - content is CC BY-NC-SA

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, chatbot, developer-tools, documentation
- domain: artificial-intelligence, tutorials, education
- platform: cross-platform, cli
- tags: openclaw, tutorial, personal-ai-assistant, skills, self-hosted-ai, chinese, datawhale, ai-agents, automation, telegram, discord, web-server

## Member repositories
- datawhalechina/hello-claw (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:25.142840+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:47:13.160339+00:00, confidence not recorded.
  - readme: https://github.com/datawhalechina/hello-claw (fetched 2026-08-28T04:06:25.142840+00:00, sha 687a704979c0)
  - homepage: https://datawhalechina.github.io/hello-claw (fetched 2026-08-29T10:27:49.013140+00:00, sha 46e327657a23)
- Data as of 2026-08-30T08:39:29.467469+00:00.