Dev.to
7/29/2026

The original title is: "How to (easily) run a fully local, private AI assistant with OpenClaw and QVAC"
Original: How to (easily) run a fully local, private AI assistant with OpenClaw and QVAC
Short summary
OpenClaw is a popular agent harness that turns a language model's text output into real actions like reading files and running commands. QVAC is an open-source SDK and CLI that makes running a local model practical. Together they let you run a fully private, offline AI assistant on your own hardware with no per-token costs and no silent model swaps.
- •OpenClaw is the most widely used agent harness, supporting any OpenAI-compatible API endpoint
- •QVAC provides the local model runtime, keeping all data on your machine and working offline
- •Trade-off is latency and capability vs. privacy, control, and zero inference cost
Generated with AI, which can make mistakes.
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