semvec/pypi-packages huggingface dataset:
open-biohit-gui 1.0.4
Designed to be used with pipettor_package following similar structure to open-biohit
License: MIT
Requires Python: <3.11,>=3.9

# Biohit pipettor gui
A modern GUI application for controlling electronic pipettors with advanced 
workflow capabilities. Currently, in use with Biohit but can be used with other pipettors as well.
See more in documentation
[![Documentation](https://img.shields.io/badge/docs-latest-blue.svg)](https://smartlab-network.github.io/open-biohit-gui/)

## Features
1. Interactive GUI with Custom Deck, slot, and labware. Easy definition and visualization.
2. Works on both single and multi pipettor
3. Direct implementation of labware based operations. eg: pick_tips, return_tips, add_medium, remove_medium.
4. Workflow builder to build and run a list of operation 
5. Operation logging. 
6. Ability to save & load Workflow and Deck. 


## Download
[Download Latest Release](https://github.com/smartlab-network/open-biohit-gui/releases/latest)

## Installation
1. Download `BiohitPipettorPlus-Windows.zip` from the [Releases](https://github.com/smartlab-network/open-biohit-gui/releases) page
2. Extract the zip file to any folder on your computer
3. Run `BiohitPipettorPlus.exe`
4. Build deck and workflows 

## Working Tutorial
To see the Biohit Pipettor gui in action, watch the full walkthrough below:
[![Biohit Pipettor GUI Tutorial](https://img.youtube.com/vi/gM6Kxg_iGMc/0.jpg)](https://www.youtube.com/watch?v=gM6Kxg_iGMc)

## Development
Built with:
    - Python 3.10 
    - ttkbootstrap and Tkinter (Modern UI) 
    - matplotlib (Data visualization)

## License
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)


# Biohit Roboline Python Interface
wTo learn more about the default pipettor in use
[![docs](https://img.shields.io/badge/docs-passing-brightgreen.svg)](https://umg-pharma-lab-automation.pages.gwdg.de/biohit-pipettor-python/)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
context-engineering-mcp-slicenfer 0.1.0
A Model Context Protocol (MCP) server for Context Engineering - file system as external memory for AI agents
License: MIT
Requires Python: >=3.10
Keywords: agent, ai, claude, context-engineering, llm, mcp

# Context Engineering MCP Server

这是一个符合 **Model Context Protocol (MCP)** 标准的服务器，旨在为 Claude Desktop、Cursor 或其他 AI 助手提供"外部记忆"和"上下文管理"能力。

它实现了 [Context Engineering](./ai-programming-best-practices.md) 的核心理念，允许 AI 像操作系统一样管理自己的工作区状态。

## ✨ 功能

这个插件为你的 AI 助手添加了以下能力（Tools）：

1.  **`context_init`**: 初始化 `.ai/skills` 和 `.agent_memory` 目录结构。
2.  **`context_state`**: 获取当前工作区的"快照"（包含目录树、Git状态、当前目标）。
3.  **`context_save_observation`**: 将长输出（如日志、API响应）保存到文件，只返回摘要。
4.  **`context_read_observation`**: 按需读取之前保存的观察结果。

## 📦 安装与配置

### 1. 作为 Python 包安装

```bash
# 在你的环境中安装
pip install .
# 或者直接使用 uv 运行（推荐）
```

### 2. 配置 Claude Desktop

编辑你的 Claude Desktop 配置文件（通常位于 `~/Library/Application Support/Claude/claude_desktop_config.json`）：

```json
{
  "mcpServers": {
    "context-engineering": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/context_mcp",
        "run",
        "context-mcp"
      ]
    }
  }
}
```

*注意：请将 `/absolute/path/to/context_mcp` 替换为你实际存放此项目的绝对路径。*

### 3. 配置 Cursor (即将支持)

Cursor 目前正在积极集成 MCP，配置方式与 Claude Desktop 类似。

## 🛠️ 使用示例

一旦配置完成，你可以在对话中直接告诉 Claude：

> "初始化一下上下文环境" -> Claude 会调用 `context_init`

> "现在的项目状态是什么？" -> Claude 会调用 `context_state`

> "运行 npm install 并帮我分析错误，输出可能很长，请注意使用外部记忆" -> Claude 会运行命令并使用 `context_save_observation` 保存结果。