ai-agent-book
MCP Serverbojieli/ai-agent-book
An open-source technical reference book and companion repository titled 'Understanding AI Agents: Design Principles and Engineering Practice', featuring 10 chapters and 95 hands-on experiments.
36.9k 4kApache-2.0Updated 2026-08-13
82
GreatOverview
This repository provides comprehensive educational materials, code samples, and experiments detailing the design principles and engineering practices behind modern AI agents. Structured around the core formula 'Agent = LLM + Context + Tools', it covers everything from basic agent harness construction and context engineering to memory systems, tool integration via MCP, coding agents, evaluation frameworks, model post-training, and multi-agent collaboration across multiple localized editions and languages.
Capabilities
- ▸Comprehensive guide covering 10 chapters on AI agent engineering
- ▸95 companion experiments with local project structures and reproduction scripts
- ▸Support for multi-language translations and offline PDF/EPUB generation
- ▸Integration templates for popular LLM providers and coding frameworks
Best for
Learning the architecture and design patterns of AI agents from scratch, Running hands-on coding experiments for agent memory, tools, and evaluation, Implementing custom LLM-based coding agents and multi-agent workflows, Understanding model post-training, SFT, and reinforcement learning for agentic tasks
Works with
Claude CodeCursorGitHub CopilotOpenCode
Evoa Score breakdown= Σ (score × weight)
82Task usefulness20%77 → +15.4
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
Code quality15%90 → +13.5
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%100 → +15.0
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
Documentation12%37 → +4.4
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
Security15%80 → +12.0
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
Originality10%85 → +8.5
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
Popularity8%100 → +8.0
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%100 → +5.0
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
Weighted total81.8 / 100
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 repository contains educational code and documentation. Running local experiments requires handling user-provided API keys carefully and reviewing external repositories cloned via scripts.
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.