NeuralAgent – An open-source desktop AI assistant that executes complex tasks through natural language

What is NeuralAgent？

NeuralAgent is an open-source desktop AI personal assistant that automates a wide range of complex tasks through natural language commands, such as simulating keyboard input, mouse clicks, browser navigation, form filling, and email sending. It supports desktop automation and, on Windows, enables background browser control for efficient task execution. NeuralAgent integrates multiple mainstream language models, including Claude, GPT-4, Azure OpenAI, Bedrock, Ollama, and Gemini. Built on a modular design (e.g., planners, classifiers), it supports multimodal interaction (text + vision). Powered by a FastAPI backend, an Electron desktop app, and a React-based front end, NeuralAgent delivers highly configurable intelligent analysis and execution capabilities, helping users achieve real productivity gains.

Key Features of NeuralAgent

• Desktop automation: Automates task execution through simulated keyboard input, mouse clicks, form filling, email sending, and web navigation.

• Background task execution: On Windows, supports background browser control, completing tasks without manual intervention.

• Multimodal interaction: Supports both text and visual input, capable of processing images and text.

• Multiple language model support: Integrates various mainstream LLMs, including Claude, GPT-4, Azure OpenAI, Bedrock, Ollama, and Gemini.

• Modular design: Includes multiple functional modules such as planners, classifiers, and suggesters, which can be flexibly configured according to task requirements.

• Cross-platform support: Runs on Windows, macOS, and Linux, though certain features (e.g., background automation) are currently Windows-only.

How NeuralAgent Works

• FastAPI backend: Built with FastAPI to deliver high-performance backend services, handling API requests and task scheduling. Integrated with a PostgreSQL database for storing task data and user information.

• Electron desktop app: Built using Electron for cross-platform desktop support, providing the user interface. Embedded React front end ensures a smooth user experience.

• Python automation scripts: Uses the Python pyautogui library to perform desktop automation tasks such as mouse clicks and keyboard input. On Windows, background browser control is implemented via Windows Subsystem for Linux (WSL).

• Modular agent system: Designed with a modular architecture that delegates different tasks to specialized agent modules (e.g., planners, classifiers). Each module can call different language models as needed to deliver intelligent analysis and execution.

Project Links

• Official website: https://www.getneuralagent.com/

• GitHub repository: https://github.com/withneural/neuralagent

Use Cases of NeuralAgent

• Office automation: Automatically fill out and send emails, edit documents, and generate reports, significantly improving efficiency and reducing repetitive work.

• Web automation: Quickly scrape web data, auto-submit forms, and batch-process web tasks, enabling fast information collection and online operations.

• Personal productivity: Intelligently plan daily tasks, organize information, and generate notes to help users manage time and work efficiently.

• Creative work assistance: Generate creative copy, assist with design drafts, and provide code snippets to spark ideas and accelerate creative workflows.

• Enterprise applications: Automatically analyze data, track project progress, and generate project reports, improving operational efficiency and team collaboration.