AI

Valet: use local LLMs to manage your homelab (open source)

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 08/11/2026, 04:47:25 UTC.

Briefings

A user named 'egfwivbwwruigwrhfbsr' created Valet, a dashboard for managing a homelab using local LLMs. The system integrates with 185+ services and supports custom plugins. It runs on Qwen 3.8 27B on a 5090 GPU, achieving ~230 tokens per second. The demo is available at https://demo.askvalet.dev.

Key points

• Valet integrates with 185+ services and supports custom plugins for managing homelab services.
• The system runs locally on a Qwen 3.8 27B model on a 5090 GPU, achieving approximately 230 tokens per second.

Context

The article describes a personal project by user 'egfwivbwwruigwrhfbsr' for managing a homelab using local LLMs. The demo is available at https://demo.askvalet.dev.

Limitations

Evidence is limited to a single user's personal project and does not represent a general solution or industry standard. Security and privacy details are described as 'read only by default' without specific implementation details or audit logs. Performance metrics are based on a single setup and may vary with different models or hardware configurations.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 08/11/2026, 04:51:30 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

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