What datasets does Derisk use?
Derisk relies on the OpenRCA dataset (approximately 26GB decompressed) for root cause analysis, with bank and telecom subsets available for download.
@derisk-ai
Basic information
AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth protection.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"derisk": {
"command": "uv",
"args": [
"sync",
"--all-packages",
"--frozen",
"\\"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Derisk (OpenDeRisk) is an AI-native risk intelligence system that acts as an intelligent manager for your application, providing 24/7 comprehensive protection through multi-agent root cause analysis and visualization.
Install via curl -fsSL https://raw.githubusercontent.com/derisk-ai/OpenDerisk/main/install.sh | bash, then configure API keys in ~/.openderisk/configs/derisk-proxy-aliyun.toml and run openderisk-server. Alternatively, clone the source, install dependencies with uv, and start with uv run derisk quickstart. Access the web UI at http://localhost:7777.
Derisk relies on the OpenRCA dataset (approximately 26GB decompressed) for root cause analysis, with bank and telecom subsets available for download.
Edit `~/.openderisk/configs/derisk-proxy-aliyun.toml` after installation and set your API keys for the proxy (e.g., OpenAI). A web UI also allows model configuration after starting the server.
Derisk requires Python and `uv` (package installer). Optional extras include RAG, ChromaDB storage, OSS2 storage, DingTalk channel, and OpenAI proxy support.
Yes, Derisk is released under the MIT license and is completely open source. The architecture is designed for reuse and extensibility.
Datasets are downloaded locally and placed in `pilot/datasets/` under the project directory. No data is sent to external cloud services by default.

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