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Dynamic agentic framework that learns, codes, and evolves organically
Personal AI assistant framework that uses your computer as a tool, writes its own code, manages memory, and coordinates multi-agent workflows without predefined limitations.

Agent Zero is a transparent, fully customizable agentic framework designed to function as a general-purpose personal assistant. Unlike rigid, pre-programmed systems, it dynamically learns and grows with use, leveraging your operating system as its primary tool to accomplish tasks through code execution, terminal commands, and self-created utilities.
The framework employs a multi-agent architecture where subordinate agents handle subtasks while reporting to superiors, keeping contexts clean and focused. With persistent memory, Agent Zero remembers solutions, code snippets, and instructions to solve future tasks faster. Default tools include web search, memory management, communication, and code/terminal execution—everything else the agent creates on demand.
Every behavior stems from editable system prompts in the prompts/ folder. No hard-coded rails constrain the agent; you control guidelines, tool instructions, and communication templates. The real-time streamed terminal interface lets you intervene instantly, and the clean web UI supports chat saving, speech-to-text, and TTS. Fully Dockerized for safety, Agent Zero requires only prompting skills—no coding necessary—though it's capable of potentially dangerous actions, so isolated environments are essential.
When teams consider Agent Zero, these hosted platforms usually appear on the same shortlist.
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Development Projects
Agent creates a React dashboard with real-time data visualization by writing code, installing dependencies, and testing components autonomously.
Data Analysis
Analyzes quarterly sales data, generates trend reports, and visualizes insights by executing Python scripts and querying datasets.
System Administration
Sets up monitoring systems for web servers by writing configuration files, installing tools, and creating custom alert scripts.
Research Synthesis
Gathers recent AI papers on chain-of-thought prompting, summarizes findings, and compiles a structured report with citations.
Agent Zero has no hard-coded tools or rails. It writes its own code and terminal commands to create utilities on demand, guided entirely by editable system prompts rather than predefined workflows.
No. Agent Zero can execute arbitrary code and terminal commands, making it potentially dangerous. Always run it in an isolated Docker environment to protect your system and data.
No coding is required. You interact through natural language prompts and instructions. However, strong prompting skills help guide the agent effectively, and you can customize prompts in the prompts/ folder.
Each agent can create subordinate agents to handle subtasks, then reports results back to its superior. Agent 0 reports to you (the user). This hierarchy keeps contexts focused and enables complex task decomposition.
Agent Zero is designed to work reliably even with small models through optimized tool-usage functionality. It supports LiteLLM for provider flexibility, including GitHub Copilot and custom endpoints with configurable parameters.
Project at a glance
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