R0bk/openclio
Open source implementation of Anthropic's Clio
Analyzes large collections of AI conversations to understand common themes and user behaviors, while ensuring user privacy. It takes raw conversation data from AI interactions and provides categorized, labeled clusters of similar conversations. This is designed for AI product managers, researchers, and ethicists who need to review and understand AI usage patterns without compromising individual user privacy.
No commits in the last 6 months.
Use this if you need to identify trends, common tasks, or potential issues across many AI conversations while adhering to privacy standards.
Not ideal if you need deep, individual-level analysis of specific AI interactions or if your primary goal is real-time anomaly detection.
Stars
7
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 16, 2025
Commits (30d)
0
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