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OpenDerisk

by derisk-ai971PythonUpdated 2026-09-03

AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth protection.

OpenDerisk is an AI-native risk intelligence system that functions as an intelligent application monitoring and incident response manager, providing continuous protection through automated root cause analysis. Built on a multi-agent architecture, it combines SRE, code analysis, reporting, visualization, and data agents to perform deep research on system failures by analyzing logs, traces, and code. The platform processes alerts from datasets like Microsoft's OpenRCA, dynamically writes analysis code, and visualizes the entire diagnostic evidence chain for SRE teams.

Key Features

Multi-agent collaboration architecture with five specialized agents (SRE, Code, Report, Visualization, and Data)
DeepResearch RCA engine that automatically locates root causes through log, trace, and code analysis
Complete visualization of diagnostic processes and evidence chains for transparent troubleshooting
Dynamic code generation by Code-Agent for customized failure analysis
Integration with Microsoft's OpenRCA dataset for large-scale incident analysis (26GB uncompressed)
Web-based UI accessible at localhost:7777 for configuration and monitoring
Support for flame graph analysis (Java/Python) and multi-format data ingestion (metrics, logs, traces, Excel)
Open-source MIT-licensed architecture enabling framework reuse and extension

Use Cases

  • 01Automated root cause analysis for production incidents using log and trace correlation
  • 0224/7 application system monitoring with AI-driven incident detection and diagnosis
  • 03Performance troubleshooting using flame graph analysis for Java and Python applications
  • 04SRE team augmentation with AI agents that handle initial incident triage and investigation
  • 05Large-scale failure pattern analysis using historical incident datasets like OpenRCA
  • 06Conversational data analysis for metrics, logs, and operational Excel reports

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OpenDerisk — FAQ

What is OpenDerisk?+

OpenDerisk is an AI-native risk intelligence system that uses multiple collaborative agents to monitor applications and automatically perform root cause analysis on system failures. It processes logs, traces, and code to identify incident sources with full visualization of the diagnostic process.

How do I install OpenDerisk?+

The recommended method is via curl using the installation script, which automatically sets up the configuration file at ~/.openderisk/configs/derisk-proxy-aliyun.toml. Alternatively, developers can install from source using the uv package manager after cloning the GitHub repository.

What API keys or prerequisites are needed?+

You need to configure API keys in the derisk-proxy-aliyun.toml configuration file for the AI models. Optionally, download the OpenRCA dataset (26GB uncompressed) from Google Drive for full incident analysis capabilities using the provided gdown commands.

Which AI clients does OpenDerisk work with?+

OpenDerisk is a standalone multi-agent system with its own web interface at localhost:7777, not a plugin for existing AI clients. It uses its own agent architecture rather than integrating with Claude Desktop, Cursor, or similar tools.

Is OpenDerisk free to use?+

Yes, OpenDerisk is open-source software released under the MIT License. However, you will need to provide your own API keys for the underlying AI models it uses.

What datasets does OpenDerisk support?+

OpenDerisk primarily works with Microsoft's OpenRCA dataset, specifically the Bank and Telecom datasets available via Google Drive. It also accepts flame graphs from Java/Python applications and can analyze metrics, logs, traces, and Excel files through its DataExpert mode.

How do I install OpenDerisk?+

Open the source repository on GitHub and follow its README. OpenDerisk is a agent — MCP Agents Market links you directly to the official repo.

Is OpenDerisk free?+

OpenDerisk is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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