# 附录G：延伸阅读与参考资料

本节整理了 OpenClaw 相关的进阶阅读材料、理论论文以及周边开源项目，供进一步深入学习。

## G.1 官方核心资料

本指南的内容基准主要参考官方文档与版本发布说明：

* [OpenClaw 官方网站](https://openclaw.ai/)
* [OpenClaw 官方代码仓库](https://github.com/openclaw/openclaw)
* [OpenClaw 官方文档入口](https://docs.openclaw.ai/)
* 关键模块文档：
  * [快速开始 (Getting Started)](https://docs.openclaw.ai/getting-started)
  * [初始化配置 (Onboard)](https://docs.openclaw.ai/getting-started/onboard)
  * [CLI 命令: Health](https://docs.openclaw.ai/cli/health)
  * [CLI 命令: Status](https://docs.openclaw.ai/cli/status)
  * [架构设计 (Gateway Architecture)](https://docs.openclaw.ai/concepts/architecture)
  * [内置工具 (Tools)](https://docs.openclaw.ai/tools)
  * [模型供应商 (Model Providers)](https://docs.openclaw.ai/providers)
  * [模型故障转移 (Model Failover)](https://docs.openclaw.ai/concepts/model-failover)
  * [网关运维 (Gateway Runbook)](https://docs.openclaw.ai/gateway)
  * [安全配置 (Security)](https://docs.openclaw.ai/gateway/security)
  * [设备配对 (Pairing)](https://docs.openclaw.ai/pairing)
* 历史版本发布与动态（以 Release 页面为准）：
  * [v2026.2.19 Release](https://github.com/openclaw/openclaw/releases/tag/v2026.2.19)
  * [v2026.1.29 Release](https://github.com/openclaw/openclaw/releases/tag/v2026.1.29)

## G.2 理论与综述论文

理解 Agent 系统的核心机制，推荐阅读以下经典研究与综述论文：

* [ReAct: Synergizing Reasoning and Acting in Language Models (arXiv:2210.03629)](https://arxiv.org/abs/2210.03629)
* [Toolformer: Language Models Can Teach Themselves to Use Tools (arXiv:2302.04761)](https://arxiv.org/abs/2302.04761)
* [A survey on LLM-based autonomous agents (Front. Comput. Sci., 2024)](https://doi.org/10.1007/s11704-024-40231-1)
* [LLM Multi-agents Survey (IJCAI 2024)](https://www.ijcai.org/proceedings/2024/890)
* [Survey on Evaluation of LLM-based Agents (arXiv:2503.16416)](https://arxiv.org/abs/2503.16416)
* [Feedback Mechanism Survey (IJCAI 2025)](https://www.ijcai.org/proceedings/2025/1175)

## G.3 相关图书与入门项目

关于 AI 基础、提示工程与 Agent 体系建设的其他开源指南与参考项目：

* [AI 入门指南](https://github.com/yeasy/ai_beginner_guide)：基础人工智能入门实战。
* [Agentic AI 指南](https://github.com/yeasy/agentic_ai_guide)：前沿理论与应用综述。
* [Prompt 工程指南](https://github.com/yeasy/prompt_engineering_guide)：系统化提示词优化技巧。
* [Context 工程指南](https://github.com/yeasy/context_engineering_guide)：上下文管理与记忆优化。
* [Claude 指南](https://github.com/yeasy/claude_guide)：Claude 体系专项指导。
* [AI 安全指南](https://github.com/yeasy/ai_security_guide)：大模型应用层面的安全建设。

**其他知名 Agent 开源框架与平台**：

* [LangChain](https://github.com/langchain-ai/langchain)：用于构建上下文感知推理应用的开发框架。
* [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT)：早期知名的实验性自主智能体框架。
* [MetaGPT](https://github.com/geekan/MetaGPT)：引入标准化操作程序（SOP）的多智能体协作框架。
* [Dify](https://github.com/langgenius/dify)：功能强大的开源 LLM 应用开发与编排平台。
* [DSPy](https://github.com/stanfordnlp/dspy)：斯坦福大学开源的基于编程而非提示词的模型调用框架。

## [第五章](https://yeasy.gitbook.io/openclaw_guide/di-er-bu-fen-jin-jie-shi-yong/05_tools_skills)参考资料

* 内置工具：<https://docs.openclaw.ai/tools>
* 工具配置：<https://docs.openclaw.ai/gateway/configuration#tools>

## [第三章](https://yeasy.gitbook.io/openclaw_guide/di-yi-bu-fen-ji-chu-ru-men/03_minimal_loop)参考资料

* Dashboard 命令：<https://docs.openclaw.ai/cli/dashboard>
* Health 命令：<https://docs.openclaw.ai/cli/health>
* Control UI (Dashboard)：<https://docs.openclaw.ai/web/dashboard>
* 控制 UI 说明：<https://docs.openclaw.ai/web/control-ui>
* Models 命令：<https://docs.openclaw.ai/cli/models>
* Channels 命令：<https://docs.openclaw.ai/cli/channels>
* Status 命令：<https://docs.openclaw.ai/cli/status>
* Doctor 命令：<https://docs.openclaw.ai/cli/doctor>
* 群组说明：<https://docs.openclaw.ai/channels/groups>
* 群组消息：<https://docs.openclaw.ai/channels/group-messages>
* pairing 命令：<https://docs.openclaw.ai/cli/pairing>
* Gateway 配置：<https://docs.openclaw.ai/gateway/configuration>

## [第六章](https://yeasy.gitbook.io/openclaw_guide/di-er-bu-fen-jin-jie-shi-yong/06_context_memory)参考资料

* 会话机制：<https://docs.openclaw.ai/concepts/session>
* 配置参考：<https://docs.openclaw.ai/gateway/configuration-reference#session>
* 工具结果裁剪：<https://docs.openclaw.ai/gateway/configuration#agentsdefaultscontextpruning>
* Session 裁剪概念：<https://docs.openclaw.ai/concepts/session-pruning>
* 记忆机制：<https://docs.openclaw.ai/concepts/memory>
* 压缩与记忆刷新：<https://docs.openclaw.ai/reference/memory-config>

## [第九章](https://yeasy.gitbook.io/openclaw_guide/di-san-bu-fen-shi-xian-yuan-li-yu-gong-cheng-luo-di/09_gateway_protocol)参考资料

* Gateway：<https://docs.openclaw.ai/gateway>
* Health 命令：<https://docs.openclaw.ai/cli/health>
* Status 命令：<https://docs.openclaw.ai/cli/status>

## [第十一章](https://yeasy.gitbook.io/openclaw_guide/di-san-bu-fen-shi-xian-yuan-li-yu-gong-cheng-luo-di/11_reliability_security)参考资料

* 配置 models: <https://docs.openclaw.ai/gateway/configuration#models>
* Multi-agent sandbox tools: <https://docs.openclaw.ai/tools/multi-agent-sandbox-tools>
* Models 命令: <https://docs.openclaw.ai/cli/models>
* Model Failover: <https://docs.openclaw.ai/concepts/model-failover>
* Security: <https://docs.openclaw.ai/gateway/security>
* Tools: <https://docs.openclaw.ai/tools>