by microsoft · LLM Plugin · ★ 318
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[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
| Stars | 318 |
| Forks | 42 |
| Language | Python |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 40.75/100 |
| Open Issues | 9 |
| Last Updated | 2026-04-14 |
| Created | 2024-10-30 |
| Platforms | python |
| Est. Tokens | ~174k |
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OpenRCA is [ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?. It is categorized as a LLM Plugin with 318 GitHub stars.
OpenRCA is primarily written in Python. It covers topics such as benchmark, large-language-models, llm.
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.
OpenRCA is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OpenRCA on Agent Skills Hub include promptdesk, bigcodebench, LLM-Agent-Benchmark-List. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.