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Velocity Local Services: an app for running LLMs locally on Windows and Linux. Load any GGUF model and chat with web search, tools and schematics, let it use your computer by voice, and serve it to opencode, Hermes or any app through an OpenAI-compatible API and MCP. Context up to 32M tokens. No cloud.
velocity-local-services is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 35/100. Velocity Local Services: an app for running LLMs locally on Windows and Linux. Load any GGUF model and chat with web search, tools and schematics, let it use yo. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding velocity-local-services to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/Veloresearch/velocity-local-services.gitReview the upstream source before running this command.
Downloads a script and pipes it straight into a shell, executing remote code with no review.
curl -fsSL https://github.com/Veloresearch/velocity-local-services/releases/latest/download/install.sh | shDispute this flag?Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
{
"fullName": "Veloresearch/velocity-local-services"
}Velocity Local Services: an app for running LLMs locally on Windows and Linux. Load any GGUF model and chat with web search, tools and schematics, let it use your computer by voice, and serve it to opencode, Hermes or any app through an OpenAI-compatible API and MCP. Context up to 32M tokens. No cloud.