Anus is an open-source AI agent project generated by Manus, replicating some of Manus's functionalities.
Anus (Autonomous Networked Utility System) is an open-source autonomous intelligent agent project derived from Manus, replicating some of Manus's functionalities. Anus supports natural language command execution, multi-agent collaboration, network interaction, etc.
What is Anus?
Anus (Autonomous Networked Utility System) is an open-source autonomous intelligent agent project derived from Manus, replicating some of Manus's functionalities. Anus supports natural language command execution, multi-agent collaboration, network interaction, document processing, code execution, and multimodal input processing. Using a hybrid architecture, Anus combines the simplicity of a single agent with the power of multiple agents, supporting OpenAI, open-source models, and local deployment, providing a rich ecosystem of tools and flexible model integration options. Anus aims to provide developers, researchers, and AI enthusiasts with a powerful, flexible, and easy-to-use tool to drive the widespread application and innovation of AI technology.
Main functions of Anus
- Task automationIt executes complex tasks based on natural language instructions and supports single or multiple agent modes.
- Multi-agent collaborationIt supports multi-agent systems, allowing predefined roles (such as researchers, analysts, and writers) to collaborate on complex tasks.
- Multimodal input processingIt supports multiple input formats such as text, images, and audio, and performs image recognition, audio transcription, and video analysis.
- Rich tool ecosystem:
- Network interactionSupports webpage automation, data scraping, form filling, and authentication processing.
- Document processingSupports PDF and Office document analysis, as well as OCR recognition.
- Code executionSupports code generation and secure execution in languages such as Python.
- Flexible model integrationSupports OpenAI models, open-source models (such as Llama and Mistral), and local deployment.
Anus's technical principles
- Manus-based generation capabilitiesThe entire project's design, coding, and documentation were completed independently by Manus, who referenced existing knowledge and open-source projects on the internet during the generation process.
- Hybrid Proxy ArchitectureThis system combines the efficiency of a single agent with the collaborative capabilities of multiple agents, dynamically switching modes based on task complexity. In a multi-agent system, agents collaborate based on predefined or custom roles, using structured protocols for communication and conflict resolution.
- Dynamic task planningComplex tasks are broken down into multiple subtasks and executed step by step based on an intelligent planning system. Computational resources are dynamically allocated based on task requirements to optimize performance.
- Tool ecosystemIt integrates multiple tools (such as the web automation tool Playwright, document processing tools, code execution sandboxes, etc.) and expands functionality based on a plugin system.
How to install Anus
- Install via pip (recommended for users).
# 安装Anus
pip install anus-ai
# 验证安装
anus --version
If you need to install optional features (such as document processing, browser automation, code execution, etc.), install the additional dependency packages:
# 安装所有可选功能
pip install anus-ai[all]
-
Install from source code (recommended for developers):
- Cloning repository:
git clone https://github.com/nikmcfly/ANUS.git
cd ANUS
-
- Creating and activating virtual environments:
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
-
- Install dependencies:
pip install
-e
.
-
- Verify installation:
anus --version
- Install using Docker:
- Pull Docker image:
docker pull anusai/anus:latest
-
- Running Docker containers:
docker run -it anusai/anus:latest
- Install using Conda:
- Creating a Conda environment:
conda create -n anus python=3.11
conda activate anus
-
- Install Anus:
pip install anus-ai
Anus project address
- GitHub repository:https://github.com/nikmcfly/ANUS/
Application scenarios of Anus
- Education and LearningAs a learning tool for developing intelligent agents, it helps beginners understand agent architecture and task planning.
- Prototype DevelopmentIt provides a basic framework to help developers quickly build prototypes of intelligent agent projects.
- Task automationUsed for simple task planning and execution, such as data processing and file operations.
- Tool Integration ReferenceThis provides a reference for projects that need to integrate external tools.
- Open source collaborationAttracting community developers to participate in improvements and promoting the development of intelligent agent technology.