Comparison
Fegis vs Dify
Dify has more GitHub stars (158,523 vs 24). Dify was updated more recently (last commit 9h ago). Data comes straight from GitHub and refreshes daily.
Fegis
Define AI tools in YAML with natural language schemas. All tool usage is automatically stored in Qdrant vector database, enabling semantic search, filtering, and memory…
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docker run -d --name qdrant -p 6333:6333 -p 6334:6334 qdrant/qdrant:latest
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| Metric | Fegis | Dify |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 24 | 158,523 |
| Stars, last 7 days | n/a | n/a |
| Forks | 7 | 25,042 |
| Upvotes | 0 | 0 |
| Language | Python | TypeScript |
| License | MIT | n/a |
| Last commit | 1y ago | 9h ago |
| Created | Apr 2025 | Apr 2023 |
| Categories | Databases, Search & web, Memory & knowledge | AI & LLM tooling, Memory & knowledge, Frameworks & SDKs |