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cherry-studio

Skill Productivity Usable

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

45,984 starsAGPL-3.0 (check with legal)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Consolidates multiple LLM APIs and pre-built agents into a single interface, reducing fragmentation costs and enabling teams to standardize on frontier models without vendor lock-in.

Engineering teams managing AI workflows across multiple models seeking unified LLM orchestration and agent reuse.

Claude Code Claude Cowork Claude Chat

https://github.com/CherryHQ/cherry-studio

By CherryHQ

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd 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 CherryHQ/cherry-studio

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

CostFree

Trust Signals Auto-scanned

Stars45,984Last updated2026-05-20LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

21 mentions across 2 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 45,984 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

Things to check

  • License (AGPL-3.0) may restrict commercial use. Check with your legal team.

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
2/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.15 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 45,984 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

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