Comparison
Dify vs StudioTV LLM VRAM Calculator
Dify has more GitHub stars (158,661 vs 0). Dify was updated more recently (last commit 2d ago). Data comes straight from GitHub and refreshes daily.
Dify
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype…
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git clone https://github.com/langgenius/dify
StudioTV LLM VRAM Calculator
Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.
$
claude mcp add --transport http studiotv-llm-vram-calculator https://studiotvai.com/api/mcp| Metric | Dify | StudioTV LLM VRAM Calculator |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 158,661 | 0 |
| Stars, last 7 days | +78 | n/a |
| Forks | 25,074 | 0 |
| Upvotes | 0 | 0 |
| Language | TypeScript | n/a |
| License | n/a | n/a |
| Last commit | 2d ago | n/a |
| Created | Apr 2023 | n/a |
| Categories | AI & LLM tooling, Memory & knowledge, Frameworks & SDKs | AI & LLM tooling |