Agent Zero - Free AI Intelligent Body Framework with Persistent Memory
What's Agent Zero?
Agent Zero is an open source artificial intelligence framework to create general purpose, highly customizable intelligent assistants. Through dynamic learning and evolution, it is able to handle a variety of tasks with persistent memory capabilities that remember previous experiences and solutions to accomplish subsequent tasks more efficiently.Agent Zero uses the operating system as a tool, allowing you to write your own code and utilize the endpoints to create and use tools without the need for predefined single-function tools. The framework utilizes a multi-agent collaboration mechanism where each agent can create subordinate agents to decompose and solve subtasks, ensuring that each agent remains focused. Almost every part of the framework can be modified by the user, including the behavior definition files, allowing for a high degree of customization, and Agent Zero provides real-time interactive communication so that the user can intervene at any time to correct the agent's behavior and course correction.

Key Features of Agent Zero
- General purpose assistant: Agent Zero is not limited to specific tasks and is capable of performing a variety of tasks, including gathering information, executing commands and code, and collaborating with other agent instances to accomplish any task assigned by the user.
- Utilizing the operating system as a tool: The framework uses the operating system as a task execution tool. There are no pre-programmed single-purpose tools; you can write your own code and use the terminal to create and use the tools you need.
- Multi-agent collaboration: Agent Zero supports multi-agent collaboration, where each agent can create subordinate agents to decompose and solve subtasks, keeping the context clear and focused.
- Fully customizable and scalable: Almost everything about Agent Zero can be extended or changed by the user, including system prompts and message templates. Users can modify the framework behavior as needed.
- Emphasis on effective communication: Agent Zero emphasizes real-time interaction with the user, who can intervene at any time to guide the agent's behavior.
Agent Zero's official website address
- Official website address::agent-zero.ai
How Agent Zero works
- Installing Conda: Conda is a Python environment manager, it is recommended to install Miniconda.
- Installing Docker: Docker is used to run Agent Zero in isolation and it is recommended to install Docker Desktop.
- Download Agent Zero: Download the source code for Agent Zero from GitHub.
- Environment Configuration
- Creating a Conda Environment: Use the command
conda create -n a0 python=3.12 -y
Create the environment and activate it. - Installation of dependencies: Run in the Agent Zero folder
pip install -r requirements.txt
The - Configuring the API Key: Will
example.env
Rename the file to.env
, and fill in the API key.
- start up a run
- Run Agent Zero: Run in a terminal
python run_ui.py
Launch the Web UI. - Accessing the Web Interface: Open the displayed URL in your browser and you are ready to go!
- environmental preparation
- Installing Python: Make sure you have a local Python environment installed.
- Installing Docker(Recommended): Using Docker makes it easier to run Agent Zero and avoid environment configuration issues.
- Get Code
- clone warehouse: Clone Agent Zero code from GitHub or other mirror repositories.
git clone https://github.com/frdel/agent-zero.git cd agent-zero
- Installation of dependencies: Run the following command to install the project dependencies:
pip install -r requirements.txt
- Configuration environment
- configure
.env
file: Reproductionexample.env
file and rename it.env
and then modify the configuration therein, such as the API key, as needed. - Select Model: in
main.py
file to select the desired chat model and embedded model.
- Starting Agent Zero
- command-line interface: Run the following command to start the command line interface:
python run_cli.py
- web user interface: Run the following command to start the web user interface:
python run_ui.py
After startup, access thehttp://localhost:50001
Available.
- Usage and Interaction
- real time interaction: Interact with Agent Zero via command line or web interface to assign tasks and receive results.
- Custom Behavior: Modification
prompts/default/agent.system.md
file to customize Agent Zero's behavior.
- Advanced configuration (optional)
- Multi-model accessThe model supports access to OpenAI, DeepSeek, Gemini, and other models by modifying the
.env
configuration implementation in a file or code. - multimodal support: Support multimodal tasks such as image recognition, OCR, etc. by defining tool modules.
- Private deployment: Agent Zero can be wrapped as a FastAPI service for API-enabled deployment.
Core Benefits of Agent Zero
- durable memory: Agent Zero remembers previous solutions, code, and instructions, making it more efficient when working on similar tasks.
- No coding required: Users do not need to write code and can use the framework only through prompts and communication skills.
- adaptable: Using a small model, Agent Zero can also operate reliably with solid system hints.
Who Agent Zero is for
- Technology enthusiasts and developers: Open source tools to explore the development and application of AI intelligences, customize and extend Agent Zero's functionality for your own needs.
- Researchers and data scientists: Flexible tools to handle complex data analysis tasks, Agent Zero can help them quickly implement data processing and analysis processes.
- creative worker: Designers, copywriters, etc., need an intelligent assistant that can understand and perform creative tasks, and Agent Zero can assist with document organization, content generation, and more.
- Business users and teams: An efficient task management and collaboration tool, Agent Zero improves team productivity through multi-intelligence collaboration.
- regular user: Simplify everyday tasks, file management, media handling, and more, and Agent Zero helps them do it in an easy-to-use way.
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