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Dev.to
Dev.to
7/29/2026
The original title is: "How to (easily) run a fully local, private AI assistant with OpenClaw and QVAC"

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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