OpenRCA

by microsoft · AI Tool · ★ 318

About OpenRCA

[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?

benchmarklarge-language-modelsllmllm-agentrcaroot-cause-analysissoftware-engineering

Quick Facts

Stars318
Forks42
LanguagePython
CategoryAI Tool
LicenseMIT
Quality Score40.75/100
Open Issues9
Last Updated2026-04-14
Created2024-10-30
Platformspython
Est. Tokens~174k

Compatible Skills

These tools work well together with OpenRCA for enhanced workflows:

  • SimplerLLM — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)
  • code-index-mcp — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • mxcp — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • app-controller — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • LLM-Tools — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is OpenRCA?

OpenRCA is [ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?. It is categorized as a AI Tool with 318 GitHub stars.

What programming language is OpenRCA written in?

OpenRCA is primarily written in Python. It covers topics such as benchmark, large-language-models, llm.

How do I install or use OpenRCA?

You can find installation instructions and usage details in the OpenRCA GitHub repository at github.com/microsoft/OpenRCA. The project has 318 stars and 42 forks, indicating an active community.

What license does OpenRCA use?

OpenRCA is released under the MIT license, making it free to use and modify according to the license terms.

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