by derisk-ai · MCP Server · ★ 915
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OpenDeRisk OpenDeRisk is an AI-Native Risk Intelligence System designed as your application system's intelligent manager, providing 7×24 hour comprehensive and in-depth protection. English [Vid
| Stars | 915 |
| Forks | 116 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 32.75/100 |
| Open Issues | 13 |
| Last Updated | 2026-04-26 |
| Created | 2025-04-23 |
| Platforms | mcp, python |
| Est. Tokens | ~5342k |
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OpenDerisk is AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth protection.. It is categorized as a MCP Server with 915 GitHub stars.
OpenDerisk is primarily written in Python. It covers topics such as agent, ai-sre, aigc.
You can find installation instructions and usage details in the OpenDerisk GitHub repository at github.com/derisk-ai/OpenDerisk. The project has 915 stars and 116 forks, indicating an active community.
OpenDerisk is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OpenDerisk on Agent Skills Hub include ai-agents-from-zero, argo, casibase. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.