Comparison
Daishi Studio vs Dify
Dify has more GitHub stars (158,583 vs 0). Dify was updated more recently (last commit 14h ago). Data comes straight from GitHub and refreshes daily.
Daishi Studio
Run AI agent evaluations on your own model keys, and publish runs others can review and re-run.
$
claude mcp add --transport http daishi-studio https://daishi.ai/mcp/studio
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 | Daishi Studio | Dify |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 0 | 158,583 |
| Stars, last 7 days | n/a | n/a |
| Forks | 0 | 25,053 |
| Upvotes | 0 | 0 |
| Language | n/a | TypeScript |
| License | n/a | n/a |
| Last commit | n/a | 14h ago |
| Created | n/a | Apr 2023 |
| Categories | AI & LLM tooling | AI & LLM tooling, Memory & knowledge, Frameworks & SDKs |