Agent Zero Mastery
Deploy autonomous AI agents on your own infrastructure. Self-host with complete privacy, use local or cloud LLMs, and build multi-agent systems that execute code and manage memory.
What You'll Learn
Agent Fundamentals
- • Docker-based isolated execution environment
- • Web UI and CLI interaction modes
- • Autonomous code generation and execution
- • Multi-agent cooperation patterns
LLM Integration
- • Cloud providers: OpenAI, Claude, Gemini, Groq
- • Local models with Ollama (Qwen3, Llama 3)
- • Hybrid setups for cost optimization
- • CPU-only inference tuning
Memory & Knowledge
- • Persistent memory architecture
- • Embedding models for semantic search
- • Custom knowledge base creation
- • SearXNG private web search
Production Operations
- • Reverse proxy with SSL/TLS
- • Authentication and access control
- • Docker security best practices
- • Backup and monitoring strategies
Why Agent Zero?
Complete Privacy
Self-host your AI agents with full control. Use local LLMs for sensitive tasks without data leaving your infrastructure.
Autonomous Execution
Agents can write and execute code, browse the web, manage files, and spawn sub-agents—all in isolated Docker containers.
Persistent Memory
Agents remember facts, solutions, and behaviors across sessions. Build knowledge bases for domain-specific expertise.
Prerequisites
- • A RamNode VPS (4GB+ RAM, 8GB+ for local LLMs)
- • Ubuntu 22.04 or 24.04 LTS
- • Basic Linux command line familiarity
- • Docker knowledge helpful but not required
Recommended Plans
Cloud LLM Only
Standard 2GB - $10/mo
Standard
Premium 4GB - $20/mo
Local LLM (Small)
Premium 8GB - $40/mo
Local LLM (Large)
Premium 16GB - $80/mo
Ready to Get Started?
This series is coming soon. Check out our existing AI deployment guides in the meantime.