Awesome LLM Apps vs Cherry Studio
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Awesome LLM Apps suits teams needing open-source access, cloud focus, and 133,530 GitHub stars in current listing data. Cherry Studio suits teams needing open-source access, desktop focus, and 50,891 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Awesome LLM Apps | Cherry Studio |
|---|---|---|
| GitHub Stars | 133.5K | 50.9K |
| Contributors | 95 | 404 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 14 | 1346 |
| License | open-source | source-available |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | agents | agents |
| Trending | No | No |
Choose Awesome LLM Apps if you need
- • Awesome LLM Apps is the better fit when you need open-source licensing instead of source-available terms.
- • Awesome LLM Apps stands out for Cloud workflows that are not listed for Cherry Studio.
- • Awesome LLM Apps is the stronger pick when Gpt 4 matters because that capability is listed only on its profile.
Choose Cherry Studio if you need
- • Cherry Studio stands out for Desktop workflows that are not listed for Awesome LLM Apps.
- • Cherry Studio is the stronger pick when Openai matters because that capability is listed only on its profile.
- • Cherry Studio has a larger visible contributor base (404 vs 95).
Meaningful differences
- • License: Awesome LLM Apps uses open-source, while Cherry Studio uses source-available.
- • Workflow emphasis: Awesome LLM Apps highlights Cloud, while Cherry Studio highlights Desktop.
- • GitHub adoption: Awesome LLM Apps shows 133,530 stars versus 50,891 for Cherry Studio.
- • Contributor count: Awesome LLM Apps lists 95 contributors and Cherry Studio lists 404.
Shared capabilities
- • Agents
- • Open Source
- • Claude
- • Gemini
Shared Tags
Only in Awesome LLM Apps
Only in Cherry Studio
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
Source links
About Awesome LLM Apps
Awesome LLM Apps is the largest curated collection of production-ready LLM applications, spanning AI agents, RAG pipelines, multi-agent teams, voice AI, and MCP integrations. With 100K+ GitHub stars and 80+ working examples using OpenAI, Anthropic, Gemini, and open-source models, it serves as both a learning resource and a template library for building real-world AI applications in Python.
View full listingAbout Cherry Studio
Cherry Studio is a desktop AI productivity app providing unified access to multiple LLM providers through a single interface. Ships with 300+ pre-configured AI assistants, autonomous agents, document processing (text, images, Office, PDF), MCP server support, Mermaid visualization, global search, topic management, AI translation, and drag-and-drop organization. Supports cloud providers (OpenAI, Gemini, Claude, Perplexity) and local models (Ollama, LM Studio). Available on Windows, Mac, and Linux.
View full listing