Comparison
Sports Context Protocol vs Dify
Dify has more GitHub stars (158,628 vs 0). Dify was updated more recently (last commit 6h ago). Data comes straight from GitHub and refreshes daily.
Sports Context Protocol
Self-learning operational context layer for AI sports agents. Profile 001: golf.
$
npx -y sports-context-protocol
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 | Sports Context Protocol | 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 | 6h ago |
| Created | n/a | Apr 2023 |
| Categories | Memory & knowledge | AI & LLM tooling, Memory & knowledge, Frameworks & SDKs |