{"repo":"derisk-ai/OpenDerisk","free":true,"listed":false,"github":"https://github.com/derisk-ai/OpenDerisk","clone":"git clone https://github.com/derisk-ai/OpenDerisk.git","description":"AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth protection.","language":"Python","stars":963,"topics":["agent","ai-sre","aigc","devops","mcp","rl","multi-agent-systems","multi-agents-orchestration","rag","risk"],"license":"MIT","category":"ai-agents","readme_excerpt":"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 简体中文 日本語 Video Tutorial Features 1. DeepResearch RCA: Quickly locate root causes through in-depth analysis of logs, traces, and code. 2. Visualized Evidence Chain: Fully visualize diagnostic processes and evidence chains for clear, accurate judgment. 3. Multi-Agent Collaboration: SRE-Agent, Code-Agent, ReportAgent, Vis-Agent, and Data-Agent working in coordination. 4. Open-Source Architecture: Built with a completely open architecture, enabling framework and code reuse in open-source projects. Architecture Introduction The system employs a multi-agent architecture. Currently, the code primarily implements the highlighted components. Alert awareness is based on Microsoft's open-source OpenRCA dataset. The decompressed dataset is approximately 26GB. On this dataset, we achieve root cause analysis through multi-agent collaboration, with Code-Agent dynamically writing code for final analysis. Technical Implementation Data Layer: Pull the large-scale OpenRCA dataset (20GB) from GitHub, decompress locally, and process for analysis. Logic Layer: Multi-agent architecture with SRE-Agent, Code-Agent, ReportAgent, Vis-Agent, and Data-Agent collaborating for deep DeepResearch RCA (Root Cause Analysis). Visualization Layer: Use the Vis protocol to dynamically render the entire processing flow and eviden","default_branch":null,"files":null,"tree":[],"storefront":"/r/derisk-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/derisk-ai/OpenDerisk/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}