primeline-ai/kairn
Context-aware knowledge engine for AI assistants
AI assistants often forget past conversations and insights, making each interaction start from scratch. Kairn solves this by providing a context-aware knowledge engine, turning raw data and conversations into a structured knowledge graph. This allows your AI assistant to intelligently recall relevant information and learn over time, making it more effective and efficient for users like software developers or analysts who rely on consistent AI support.
Use this if you need your AI assistant to have a persistent, structured memory that intelligently surfaces relevant context during conversations, improving its ability to learn and make informed decisions.
Not ideal if you only need simple, flat key-value storage for your AI's memory, or if your AI conversations are always isolated and do not benefit from historical context or relational knowledge.
Stars
8
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 22, 2026
Commits (30d)
0
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