
moling
Moling is a computer-used MCP Server that implements system interaction through operating system APIs. It is a dependency-free local office automation assistant.
Stars: 110

README:
English | δΈζ
MoLing is a computer-use and browser-use MCP Server that implements system interaction through operating system APIs, enabling file system operations such as reading, writing, merging, statistics, and aggregation, as well as the ability to execute system commands. It is a dependency-free local office automation assistant.
[!IMPORTANT] Requiring no installation of any dependencies, MoLing can be run directly and is compatible with multiple operating systems, including Windows, Linux, and macOS. This eliminates the hassle of dealing with environment conflicts involving Node.js, Python, Docker and other development environments.
[!CAUTION] Command-line operations are dangerous and should be used with caution.
- File System Operations: Reading, writing, merging, statistics, and aggregation
- Command-line Terminal: Execute system commands directly
-
Browser Control: Powered by
github.com/chromedp/chromedp
-
Future Plans:
- Personal PC data organization
- Document writing assistance
- Schedule planning
- Life assistant features
[!WARNING] Currently, MoLing has only been tested on macOS, and other operating systems may have issues.
- Claude
- Cline
- Cherry Studio
- etc. (who support MCP protocol)
MoLing in Claude
The configuration file will be generated at /Users/username/.moling/config/config.json
, and you can modify its
contents as needed.
If the file does not exist, you can create it using moling config --init
.
For example, to configure the Claude client, add the following configuration:
[!TIP]
Only 3-6 lines of configuration are needed.
Claude config path:
~/Library/Application\ Support/Claude/claude_desktop_config
{
"mcpServers": {
"MoLing": {
"command": "/usr/local/bin/moling",
"args": []
}
}
}
and, /usr/local/bin/moling
is the path to the MoLing server binary you downloaded.
Automatic Configuration
run moling client --install
to automatically install the configuration for the MCP client.
MoLing will automatically detect the MCP client and install the configuration for you. including: Cline, Claude, Roo Code, etc.
- Stdio Mode: CLI-based interactive mode for user-friendly experience
- SSR Mode: Server-Side Rendering mode optimized for headless/automated environments
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/gojue/moling/HEAD/install/install.sh)"
[!WARNING] Not tested, unsure if it works.
powershell -ExecutionPolicy ByPass -c "irm https://raw.githubusercontent.com/gojue/moling/HEAD/install/install.ps1 | iex"
- Download the installation package from releases page
- Extract the package
- Run the server:
./moling
- Clone the repository:
git clone https://github.com/gojue/moling.git
cd moling
- Build the project (requires Golang toolchain):
make build
- Run the compiled binary:
./bin/moling
After starting the server, connect using any supported MCP client by configuring it to point to your MoLing server address.
Apache License 2.0. See LICENSE for details.
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for moling
Similar Open Source Tools

auto-subs
Auto-subs is a tool designed to automatically transcribe editing timelines using OpenAI Whisper and Stable-TS for extreme accuracy. It generates subtitles in a custom style, is completely free, and runs locally within Davinci Resolve. It works on Mac, Linux, and Windows, supporting both Free and Studio versions of Resolve. Users can jump to positions on the timeline using the Subtitle Navigator and translate from any language to English. The tool provides a user-friendly interface for creating and customizing subtitles for video content.

ChatGPT-Next-Web
ChatGPT Next Web is a well-designed cross-platform ChatGPT web UI tool that supports Claude, GPT4, and Gemini Pro models. It allows users to deploy their private ChatGPT applications with ease. The tool offers features like one-click deployment, compact client for Linux/Windows/MacOS, compatibility with self-deployed LLMs, privacy-first approach with local data storage, markdown support, responsive design, fast loading speed, prompt templates, awesome prompts, chat history compression, multilingual support, and more.

R2R
R2R (RAG to Riches) is a fast and efficient framework for serving high-quality Retrieval-Augmented Generation (RAG) to end users. The framework is designed with customizable pipelines and a feature-rich FastAPI implementation, enabling developers to quickly deploy and scale RAG-based applications. R2R was conceived to bridge the gap between local LLM experimentation and scalable production solutions. **R2R is to LangChain/LlamaIndex what NextJS is to React**. A JavaScript client for R2R deployments can be found here. ### Key Features * **π Deploy** : Instantly launch production-ready RAG pipelines with streaming capabilities. * **𧩠Customize** : Tailor your pipeline with intuitive configuration files. * **π Extend** : Enhance your pipeline with custom code integrations. * **βοΈ Autoscale** : Scale your pipeline effortlessly in the cloud using SciPhi. * **π€ OSS** : Benefit from a framework developed by the open-source community, designed to simplify RAG deployment.

simba
Simba is an open source, portable Knowledge Management System (KMS) designed to seamlessly integrate with any Retrieval-Augmented Generation (RAG) system. It features a modern UI and modular architecture, allowing developers to focus on building advanced AI solutions without the complexities of knowledge management. Simba offers a user-friendly interface to visualize and modify document chunks, supports various vector stores and embedding models, and simplifies knowledge management for developers. It is community-driven, extensible, and aims to enhance AI functionality by providing a seamless integration with RAG-based systems.

Kord-Ai
Kord-Ai is a WhatsApp bot designed to automate interactions on WhatsApp by executing predefined commands or responding to user inputs. It can handle tasks like sending messages, sharing media, and managing group activities, providing convenience and efficiency for users and businesses. The bot offers features for deployment on various platforms, including Heroku, Replit, Koyeb, Glitch, Codespace, Render, Railway, VPS, and PC. Users can deploy the bot by obtaining a session ID, forking the repository, setting configurations in the Config.js file, and starting/stopping the bot using npm commands. It is important to note that Kord-Ai is a bot created by M3264, not affiliated with WhatsApp, and users should be cautious in its usage.

CrewAI-Studio
CrewAI Studio is an application with a user-friendly interface for interacting with CrewAI, offering support for multiple platforms and various backend providers. It allows users to run crews in the background, export single-page apps, and use custom tools for APIs and file writing. The roadmap includes features like better import/export, human input, chat functionality, automatic crew creation, and multiuser environment support.

ChatPDF
ChatPDF is a knowledge question and answer retrieval tool based on local LLM. It supports various open-source LLM models like ChatGLM3-6b, Chinese-LLaMA-Alpaca-2, Baichuan, YI, and multiple file formats including PDF, docx, markdown, txt. The tool optimizes RAG accuracy, Chinese chunk segmentation, embedding using text2vec's sentence embedding, retrieval matching with rank_BM25, and introduces reranker module for reranking candidate sets. It also enhances candidate chunk extension context, supports custom RAG models, and provides a Gradio-based RAG conversation page for seamless dialogue.

RookieAI_yolov8
RookieAI_yolov8 is an open-source project designed for developers and users interested in utilizing YOLOv8 models for object detection tasks. The project provides instructions for setting up the required libraries and Pytorch, as well as guidance on using custom or official YOLOv8 models. Users can easily train their own models and integrate them with the software. The tool offers features for packaging the code, managing model files, and organizing the necessary resources for running the software. It also includes updates and optimizations for better performance and functionality, with a focus on FPS game aimbot functionalities. The project aims to provide a comprehensive solution for object detection tasks using YOLOv8 models.

Hacx-GPT
Hacx GPT is a cutting-edge AI tool developed by BlackTechX, inspired by WormGPT, designed to push the boundaries of natural language processing. It is an advanced broken AI model that facilitates seamless and powerful interactions, allowing users to ask questions and perform various tasks. The tool has been rigorously tested on platforms like Kali Linux, Termux, and Ubuntu, offering powerful AI conversations and the ability to do anything the user wants. Users can easily install and run Hacx GPT on their preferred platform to explore its vast capabilities.

obsei
Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

Shellsage
Shell Sage is an intelligent terminal companion and AI-powered terminal assistant that enhances the terminal experience with features like local and cloud AI support, context-aware error diagnosis, natural language to command translation, and safe command execution workflows. It offers interactive workflows, supports various API providers, and allows for custom model selection. Users can configure the tool for local or API mode, select specific models, and switch between modes easily. Currently in alpha development, Shell Sage has known limitations like limited Windows support and occasional false positives in error detection. The roadmap includes improvements like better context awareness, Windows PowerShell integration, Tmux integration, and CI/CD error pattern database.

mcphub.nvim
MCPHub.nvim is a powerful Neovim plugin that integrates MCP (Model Context Protocol) servers into your workflow. It offers a centralized config file for managing servers and tools, with an intuitive UI for testing resources. Ideal for LLM integration, it provides programmatic API access and interactive testing through the `:MCPHub` command.

NextChat
NextChat is a well-designed cross-platform ChatGPT web UI tool that supports Claude, GPT4, and Gemini Pro. It offers a compact client for Linux, Windows, and MacOS, with features like self-deployed LLMs compatibility, privacy-first data storage, markdown support, responsive design, and fast loading speed. Users can create, share, and debug chat tools with prompt templates, access various prompts, compress chat history, and use multiple languages. The tool also supports enterprise-level privatization and customization deployment, with features like brand customization, resource integration, permission control, knowledge integration, security auditing, private deployment, and continuous updates.

pilottai
PilottAI is a Python framework for building autonomous multi-agent systems with advanced orchestration capabilities. It provides enterprise-ready features for building scalable AI applications. The framework includes hierarchical agent systems, production-ready features like asynchronous processing and fault tolerance, advanced memory management with semantic storage, and integrations with multiple LLM providers and custom tools. PilottAI offers specialized agents for various tasks such as customer service, document processing, email handling, knowledge acquisition, marketing, research analysis, sales, social media, and web search. The framework also provides documentation, example use cases, and advanced features like memory management, load balancing, and fault tolerance.