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Basic Information

Agent Zero is an open source personal, organic agentic framework designed to grow and learn with its user. It provides a general-purpose assistant that can accept high-level tasks, gather information, execute commands and code, and cooperate with subordinate and superior agent instances. The framework treats the computer and operating system as tools the agent can use, and it stores persistent memory so agents learn from past solutions. The core behavior is prompt-driven and fully transparent; prompts and templates live in a prompts folder and default tools are in a python/tools folder so users can inspect and modify every component. The project is distributed as a Dockerized application with a streamed terminal and web UI, optional speech-to-text and text-to-speech, and support for external model providers and multi-instance communication.

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Features
Agent Zero emphasizes extensibility, transparency, and multi-agent cooperation. It is prompt-based so the agent’s entire behavior is defined by editable prompt files. Default tools include knowledge, code execution, and communication, and users can create custom tools and new Instruments for callable procedures. The framework supports persistent automatic memory, document retrieval and RAG features, live streamed terminal and web UI with chat logging, in-chat attachments, and file browser capabilities. It supports Docker deployment, speech-to-text and TTS integrations, a browser agent, scheduling and multitasking, and can act as or use external MCP servers for distributed multi-agent coordination. Recent updates mention LiteLLM support and configurable model endpoints for varied providers.
Use Cases
Agent Zero helps users automate complex tasks by delegating work to agent instances that can create subagents, execute shell commands and code, and remember past actions to improve future performance. It is useful for building development projects, performing data analysis, creating content, system administration tasks, and research workflows by combining tool usage, persistent memory, and multi-step planning. The editable prompt and tool system enables customization for different roles and domains without changing core code. Docker isolation reduces risk from powerful agents, the web UI and logging make sessions auditable, and integration with model providers and MCP servers enables scaling and distributed workflows.

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