Comparison
Rubrkit vs Dify
Dify has more GitHub stars (158,628 vs 0). Dify was updated more recently (last commit 1h ago). Data comes straight from GitHub and refreshes daily.
Rubrkit
MCP-native AI evaluation: rubric audits, eval suites, and proof reports for AI/LLM output.
$
claude mcp add --transport http rubrkit https://www.rubrkit.com/api/v1/mcp
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…
$
git clone https://github.com/langgenius/dify| Metric | Rubrkit | Dify |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 0 | 158,628 |
| Stars, last 7 days | n/a | +45 |
| Forks | 0 | 25,066 |
| Upvotes | 0 | 0 |
| Language | n/a | TypeScript |
| License | n/a | n/a |
| Last commit | n/a | 1h ago |
| Created | n/a | Apr 2023 |
| Categories | AI & LLM tooling | AI & LLM tooling, Memory & knowledge, Frameworks & SDKs |