velocity-local-services

Name: velocity-local-services Review
Item: velocity-local-services
Rating: 2.0
Author: Aaron Matthews

Skill Development Poor

Works inClaude Code

Poor Scanned — metadata only

Eliminates cloud LLM costs and data residency risks by running models locally with 32M token context, while maintaining API compatibility with existing workf…

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.

Run large language models locally on your Windows or Linux server without cloud dependencies.
Deploy a private AI API endpoint compatible with OpenAI for internal applications and tools.
Enable voice commands to execute local AI tasks hands-free on your development machine.

34 starsFreeQuick setup

Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Why it matters

Eliminates cloud LLM costs and data residency risks by running models locally with 32M token context, while maintaining API compatibility with existing workflows and enterprise tooling.

Best for

Engineering teams requiring private model inference, compliance-restricted data processing, or cost-optimized long-context reasoning on-premises.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/Veloresearch/velocity-local-services

By Veloresearch

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

claude plugins install Veloresearch/velocity-local-services

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me run large language models locally on my Windows or Linux server without cloud dependencies

CostFree

Trust Signals Auto-scanned

Stars34Contributors1Last updated2026-10-25Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-25 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 31 GitHub stars; contributors unknown; last commit 0d ago; license no license.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

1/5

Versatility

2/5

Reliability

3/5

Security

3/5

Overall score2.05 / 5.00 PoorEvaluatedOct 2026

Scored from trust signals (evidence-eval-v1): 31 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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