Discover the cutting-edge technologies that make Agent Zero a truly autonomous AI assistant. From open-source foundations to advanced memory systems, each component is designed to give you complete control and unprecedented capabilities.
Agent Zero operates independently with a complete toolset for any task
Agent Zero is built on the principle of transparency and community ownership. The entire codebase is open source, allowing you to inspect, modify, and extend it to meet your exact needs. No vendor lock-in, no hidden limitations—just pure, open AI technology.
Every aspect of Agent Zero's behavior is defined through meticulously designed prompts and context management. This approach ensures genuine agentic capabilities while giving you full control to customize how your AI assistant thinks and acts.
Agent Zero features a hybrid memory system powered by FAISS vector search, categorizing information into main memories, conversation fragments, proven solutions, and custom instruments. Combined with dynamic context compression and a customizable knowledge base, your AI never forgets what matters.
Running in a Docker container with a complete Linux environment, Agent Zero operates in a secure sandbox with SearXNG for privacy-respecting web search, a modern Web UI for interaction, and the ability to install packages on-demand. Full system access with complete isolation from your host machine.
Agent Zero features extensible Instruments for custom procedures, a powerful Extensions system for behavior modification, Model Context Protocol (MCP) integration for tool interoperability, Agent-to-Agent (A2A) communication for multi-agent orchestration, speech capabilities (TTS/STT), and seamless integrations with multiple AI providers. Built for extensibility and control.
Agent Zero comes pre-equipped with powerful features and seamless integrations to enhance your workflow.
Organize work into isolated projects, each with dedicated agents, separate context, and specific instructions.
Unified interface to browse, search, organize, edit, and delete all agent memories across customizable categories.
Custom procedures and scripts stored in long-term memory, recalled when needed without increasing token count.
Powerful Python-based extension system that hooks into Agent Zero's lifecycle for deep behavior customization.
Customizable knowledge directory where you can add documents for the agent to reference and learn from.
Model Context Protocol support for tool interoperability, acting as both MCP client and server for external integrations.
Agent-to-Agent communication enabling multiple Agent Zero instances to collaborate via the FastA2A protocol.
Text-to-Speech (TTS) for voice responses and Speech-to-Text (STT) using local Whisper model for natural voice interaction.
Support for multiple AI providers: OpenAI, Anthropic, Grok, OpenRouter, GitHub Copilot, and local models via Ollama.
Programmatic access through REST API for integration into your own applications and workflows.
Seamless deployment and scaling with Docker, ensuring consistency across all platforms and environments.