how to run an AI agent locally — autonomous, free, and entirely on your own machine

An AI agent that uses tools and completes multi-step tasks, running offline with zero API fees. The stack is simpler than you'd think: Ollama plus a… Aliteq Lena Fischer · AI & Local Compute Editor

Stack: Ollama + an agent framework (CrewAI is the easiest to start with; n8n for visual workflows).

An agent = an LLM in a loop with tools + memory — it picks a tool, runs it, repeats until done.

Use a tool-trained model — Qwen3 8B/30B-A3B, Llama 3.1/3.3, or Mistral Small. Base models can't emit tool calls.

Hardware: 32GB RAM is the practical minimum for multi-agent workflows; a quantized 8B model uses ~6GB VRAM.

Everything runs offline — $0 in API fees, data stays on your machine.

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