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CoWork-OS

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Eliminates vendor lock-in by letting teams run AI workflows on rented inference without surrendering application code or data infrastructure.

Rent the model. Own everything else. Free, open-source AI app for real work.

514 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Eliminates vendor lock-in by letting teams run AI workflows on rented inference without surrendering application code or data infrastructure. Reduces operational costs and compliance friction for regulated environments.

Engineering teams building internal tools who need model flexibility without infrastructure overhead or data residency constraints.

Claude Code Claude Cowork Claude Chat

https://github.com/CoWork-OS/CoWork-OS

By CoWork-OS

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 CoWork-OS/CoWork-OS

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 and refactor legacy code within my own infrastructure
CostFree

Trust Signals Auto-scanned

Stars514Contributors19Last updated2026-10-28LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-29 · scanner v1

Community Pulse Quiet

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): 491 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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

Ease of Use
3/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 491 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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