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Add screenpipe to context engineering systems #25

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -199,6 +199,7 @@ RL-trained models that run up to 8 parallel searches per turn to retrieve code c

- **[Prompt Engineering Guide](https://github.com/dair-ai/Prompt-Engineering-Guide)** ⭐76.1k: Comprehensive guide and resources for prompt engineering, context engineering, RAG, and AI agents
- **[get-shit-done (GSD)](https://github.com/gsd-build/get-shit-done)** ⭐64.5k: Meta-prompting, context engineering and spec-driven development system for Claude Code
- **[screenpipe](https://github.com/screenpipe/screenpipe)** ⭐19.9k: Source-available, local-first work-context layer that captures screen, audio, input, browser, and meeting activity for agent retrieval through MCP, REST, and CLI
- **[Agent Skills for Context Engineering](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering)** ⭐16.7k: Collection of Agent Skills for context engineering and multi-agent architectures
- **[Context Engineering Intro](https://github.com/coleam00/context-engineering-intro)** ⭐13.5k: Context engineering introduction and methodology for AI coding assistants
- **[Context-Engineering (jasontang-ai)](https://github.com/jasontang-ai/Context-Engineering)** ⭐9.1k: Karpathy-inspired first-principles handbook for context engineering
Expand Down Expand Up @@ -335,4 +336,3 @@ Special thanks to all contributors and the research community advancing the fiel
**Maintained by**: [yzfly](https://github.com/yzfly) | **云中江树（微信公众号: 云中江树）**

*If you find this repository helpful, please consider giving it a ⭐!*

3 changes: 2 additions & 1 deletion README_CN.md
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Expand Up @@ -193,6 +193,7 @@ Context工程是对大语言模型(LLM)信息负载的系统性优化。它包

- **[提示工程指南 (Prompt Engineering Guide)](https://github.com/dair-ai/Prompt-Engineering-Guide)** ⭐76.1k：提示工程、上下文工程、RAG 与 AI 智能体的综合指南与资源合集
- **[get-shit-done (GSD)](https://github.com/gsd-build/get-shit-done)** ⭐64.5k：面向 Claude Code 的元提示、上下文工程与规范驱动开发系统
- **[screenpipe](https://github.com/screenpipe/screenpipe)** ⭐19.9k：源码可用、本地优先的工作上下文层，捕获屏幕、音频、输入、浏览器和会议活动，并通过 MCP、REST 和 CLI 向智能体提供可检索的工作证据
- **[Agent Skills for Context Engineering](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering)** ⭐16.7k：面向上下文工程与多代理架构的 Agent Skills 集合
- **[Context工程入门](https://github.com/coleam00/context-engineering-intro)** ⭐13.5k：面向 AI 编程助手的上下文工程入门方法论
- **[Context-Engineering（jasontang-ai）](https://github.com/jasontang-ai/Context-Engineering)** ⭐9.1k：受 Karpathy 启发的上下文工程第一性原理手册
Expand Down Expand Up @@ -328,4 +329,4 @@ Context工程是对大语言模型(LLM)信息负载的系统性优化。它包

**维护者**：[yzfly](https://github.com/yzfly) | **云中江树（微信公众号: 云中江树）**

*如果您觉得这个仓库有帮助，请考虑给它一个⭐！*
*如果您觉得这个仓库有帮助，请考虑给它一个⭐！*