build-your-own-openclaw
czl9707/build-your-own-openclaw
An 18-step progressive tutorial guiding developers through building a lightweight version of the OpenClaw AI agent framework from scratch.
Overview
This repository provides a comprehensive, hands-on tutorial divided into four phases—ranging from basic chat loops and tool use to event-driven architectures, multi-agent collaboration, and production-grade memory management. Each step comes with its own README and runnable codebase, allowing learners to construct a functional AI assistant named Pickle along with specialized subagents like Cookie.
Capabilities
- ▸Step-by-step progressive tutorial implementation
- ▸Single and multi-agent routing architecture
- ▸Event-driven design patterns
- ▸Memory persistence and compaction techniques
Best for
Learning how to build custom AI agent systems from the ground up, Understanding event-driven architectures for multi-platform AI agents, Implementing memory management, tool execution, and multi-agent routing
Works with
実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
The tutorial requires setting external LLM API keys in configuration files. Users should ensure sensitive credentials are not accidentally committed to version control.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.