openmake_llm

Name: openmake_llm Review
Item: openmake_llm
Rating: 2.8
Author: Aaron Matthews

Skill Development Usable

Works inClaude Code

Usable Scanned — metadata only

Eliminates vendor lock-in and data exposure risks by running LLM workloads entirely on-premises, while supporting autonomous agents and research tools that r…

Open-source, self-hosted AI workspace for local and open-weight LLMs with vLLM, LiteLLM, autonomous agents, MCP tools, deep research, artifacts, and BYOK.

Ask Claude to review code locally without sending data to external servers.
Generate documentation artifacts from source code using open-weight language models.
Automate repetitive development tasks with autonomous agents running on your infrastructure.

43 starsApache-2.0 (commercial OK)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Eliminates vendor lock-in and data exposure risks by running LLM workloads entirely on-premises, while supporting autonomous agents and research tools that reduce manual code review and investigation cycles.

Best for

Enterprise teams requiring isolated LLM infrastructure with IP sensitivity or compliance constraints.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/openmake/openmake_llm

By openmake

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 openmake/openmake_llm

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:

Review code locally without sending data to external servers

CostFree

Trust Signals Auto-scanned

Stars43Contributors6Last updated2026-10-31LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-31 · scanner v1

Community Pulse Growing

Discussed on Hacker News

Show HN: We Beat MLPerf: Modern Storage for KV Offload and LLM Training — Hacker News · 35 pts
OpenLake: Fast, Durable Storage for LLM Inference and Training — Hacker News · 2 pts
Modular LLM framework inspired by Linux – aiming for a one-GPU future — Hacker News · 2 pts

3 mentions across 1 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 43 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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.

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

3/5

Versatility

2/5

Reliability

3/5

Security

3/5

Overall score2.75 / 5.00 UsableEvaluatedOct 2026

Scored from trust signals (evidence-eval-v1): 43 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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