Comparison
Context Engineering for Multi Agent Systems vs Dify
Dify has more GitHub stars (158,628 vs 288). Dify was updated more recently (last commit 4h ago). Data comes straight from GitHub and refreshes daily.
Context Engineering for Multi Agent Systems
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a…
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git clone https://github.com/Denis2054/Context-Engineering-for-Multi-Agent-Systems
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 | Context Engineering for Multi Agent Systems | Dify |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 288 | 158,628 |
| Stars, last 7 days | n/a | +45 |
| Forks | 104 | 25,066 |
| Upvotes | 0 | 0 |
| Language | Jupyter Notebook | TypeScript |
| License | MIT | n/a |
| Last commit | 5d ago | 4h ago |
| Created | Sep 2025 | Apr 2023 |
| Categories | AI & LLM tooling, Memory & knowledge | AI & LLM tooling, Memory & knowledge, Frameworks & SDKs |