NeuralAgent - an open-source desktop AI assistant that performs complex tasks using natural language.

What is NeuralAgent?

NeuralAgent is an open-source desktop AI personal assistant that automates various complex tasks through natural language commands, such as simulating keyboard input, mouse clicks, browser navigation, form filling, and email sending. NeuralAgent supports desktop automation and background browser control on Windows platforms for efficient task processing. It integrates multiple mainstream language models, including Claude, GPT-4, Azure OpenAI, Bedrock, Ollam, and Gemini, and is based on a modular design (such as planners and classifiers), supporting multimodal (text + vision) interaction. Built on a FastAPI backend, Electron desktop application, and React frontend, NeuralAgent provides users with highly configurable intelligent analysis and execution capabilities, helping to achieve genuine productivity improvements.

Main functions of NeuralAgent

• Desktop AutomationIt automates task execution by simulating keyboard input, mouse clicks, form filling, email sending, and webpage navigation.
• Background task executionSupports background browser control on the Windows platform, allowing tasks to be completed without manual intervention.
• Multimodal interactionIt supports both text and visual input and can process image and text information.
• Multilingual model supportIt integrates multiple mainstream language models, such as Claude, GPT-4, Azure OpenAI, Bedrock, Ollama, and Gemini.
• Modular designIt includes multiple functional modules, such as planner, classifier, and suggestion, and supports flexible configuration according to task requirements.
• Cross-platform operationSupports Windows, macOS, and Linux, but some features (such as background automation) are currently only available on Windows.

The technical principle of NeuralAgent

• FastAPI backendBuild a high-performance backend service using FastAPI, responsible for handling API requests and task scheduling. Integrate with a PostgreSQL database to store task data and user information.
• Electron desktop applicationsBuild cross-platform desktop applications using Electron, providing a user interface. It embeds the React front-end framework for a smooth user experience.
• Python automation scriptsThis project utilizes the pyautogui library in Python to automate desktop operations such as mouse clicks and keyboard input. On the Windows platform, it leverages WSL (Windows Subsystem for Linux) for background browser control.
• Modular proxy systemBased on a modular design, different tasks are assigned to specialized agent modules (such as planners and classifiers). Each module invokes different language models according to task requirements to achieve intelligent analysis and execution.

NeuralAgent project address

• Project official websitehttps://www.getneuralagent.com/
• GitHub repositoryhttps://github.com/withneural/neuralagent

Application scenarios of NeuralAgent

• Office AutomationIt automatically fills out and sends emails, edits documents, and generates reports, significantly improving work efficiency, reducing repetitive tasks, and making office work more efficient and convenient.
• Web page automationIt can quickly capture web page data, automatically submit forms, and process web page tasks in batches, helping users efficiently collect information and complete online operations.
• Personal productivity improvementIt intelligently plans daily tasks, organizes information, and generates notes, helping users manage their time and work efficiently and improve personal productivity.
• Creative work assistanceIt generates creative copy, assists in design sketches, and provides code snippets to inspire creativity, accelerate the creative workflow, and help realize creative ideas.
• Enterprise applicationsIt automatically analyzes data, tracks project progress, and generates project reports, helping enterprises operate and manage efficiently and improve team collaboration efficiency.