🛠️

Tool

Ai Agent Book

Name: Ai Agent Book
Author: bojieli

by bojieli bojieli/ai-agent-book

Free2AITools Nexus Index

65.0

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 62

P: Popularity 74

R: Recency 100

Q: Quality 70

Tech Context

Vital Performance —

Source →

Python Lang

Open Source 41.3K Stars

Alpha Reliability

Tool Information Summary
Entity Passport
Registry ID	bojieli/ai-agent-book
License	Apache-2.0
Provider	github

📜

Cite this tool

Academic & Research Attribution

BibTeX

@misc{gh_tool_bojieli_ai_agent_book,
  author = {bojieli},
  title = {Ai Agent Book Tool},
  year = {2025},
  howpublished = {\url{https://github.com/bojieli/ai-agent-book}},
  note = {Accessed via Free2AITools.}
}

APA Style

bojieli. (2025). Ai Agent Book [Tool]. Free2AITools. https://github.com/bojieli/ai-agent-book

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🐙 GitHub Clone

git clone https://github.com/bojieli/ai-agent-book

🐍 PIP Install

pip install ai-agent-book

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 62

Popularity (P) 74

Recency (R) 100

Quality (Q) 70

💬 Index Insight

FNI V2.0 for Ai Agent Book: Authority (A:62), Popularity (P:74), Recency (R:100), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

📋 Specs

Language: Python
License: Apache-2.0
Version: —

CODE

🔌 Usage & Integration

Quick Start

# 第 6 章 · GUI 与机器人外部复现轨道
git clone https://github.com/anthropics/claude-quickstarts.git chapter6/claude-quickstarts && git -C chapter6/claude-quickstarts checkout --detach 9bcc95e316e5ef6542b4c9d0469f4078829eead5  # 实验 6-7 使用 computer-use-demo/
git clone https://github.com/browser-use/browser-use.git chapter6/browser-use && git -C chapter6/browser-use checkout --detach ec9277c5001f2cb78ee419c927775a3cfc227ff8  # 实验 6-8
git clone https://github.com/Vector-Wangel/XLeRobot.git chapter6/XLeRobot && git -C chapter6/XLeRobot fetch origin 3d14695e40c9c68229c0aacffca6053c75cd3eb6 && git -C chapter6/XLeRobot checkout --detach 3d14695e40c9c68229c0aacffca6053c75cd3eb6 && test "$(git -C chapter6/XLeRobot rev-parse HEAD)" = "3d14695e40c9c68229c0aacffca6053c75cd3eb6"  # 实验 6-9、6-11 共用
git clone https://github.com/Grigorij-Dudnik/RoboCrew.git chapter6/RoboCrew && git -C chapter6/RoboCrew fetch origin c749148f29bd14e61347f9fc3530c343fff0d994 && git -C chapter6/RoboCrew checkout --detach c749148f29bd14

Technical Documentation

深入理解 AI Agent：设计原理与工程实践

中文 ← 当前 · English · Español · Bahasa Indonesia · العربية · 繁體中文（台灣） · Русский · Tiếng Việt · தமிழ் · 日本語 · Türkçe · 한국어 · Magyar · עברית

📥 下载 PDF / EPUB（推荐）— 推荐使用 PDF / EPUB 离线阅读，排版最佳；也可在线阅读（支持多语言切换、章节折叠、全文搜索，每次推送自动更新）。

Agent = LLM + 上下文 + 工具——本书围绕这个核心公式，用 10 章把 AI Agent 从原理讲到工程实战。全书正文、配图、103 个配套实验全部开源，欢迎亲手把实验跑一遍。

📢 2.0 版变更（相较 1.4 版）：本仓库书稿版本已由 1.4 升级为 2.0。2.0 版将原第四章中的“异步交互”部分与原第九章中关于“多模态 Agent”的内容合并，重组为新的第六章“交互：观察与动作空间的扩展”。原第六章“Agent 的评估”、第七章“模型后训练”和第八章“Agent 的持续进化”依次后移一章，现分别为第七、八、九章。

如果你看到的是旧版 PDF，建议下载最新版 PDF。新版还包含许多内容修正与调整，请以最新版为准。

📚 10 章正文，从基础到生产	📂 103 个配套实验（含本地项目与外部复现轨道）	🌐 14 种语言：中 / 英 / 西 / 印尼 / 阿 / 繁體中文（台灣） / 俄 / 泰米尔 / 越 / 日 / 土耳其 / 韩 / 匈牙利 / 希伯来

📖 电子书

📥 离线下载（推荐，全书正文，开源免费）。以下链接始终指向 main 分支的最新构建；固定版本见 Releases：

中文（原版）：[PDF](https://github.com/bojieli/ai-ag

Social Proof

GitHub Repository

41.3KStars

4.6KForks

Repo Issues

🐙 Data Source: GitHub ↗

🔄 Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Tool Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: gh-tool--bojieli--ai-agent-book
slug: bojieli--ai-agent-book
source: github
author: bojieli
license: Apache-2.0
tags: agent, agent-memory, ai-agent, book, coding-agent, context-engineering, large-language-models, llm, mcp, multi-agent, multimodal, rag, reinforcement-learning, python

⚙️ Technical Specs

pipeline tag: other

📊 Engagement & Metrics

downloads: 0
stars: 41,329
forks: 4,564
github stars: 41,329

Data indexed from public sources. Updated daily.