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KairosAgent

Agentic time series forecasting with semantic reasoning and multimodal prediction

Open SourceFree

About

KairosAgent is a research system that combines numerical time series analysis with semantic reasoning for advanced forecasting. It uses agentic approaches to fuse cross-domain knowledge, enabling multimodal predictions that consider both quantitative patterns and qualitative context. Designed for complex forecasting scenarios where traditional statistical methods fall short.

Details

Typecoding-agent
Deploymentself-hosted
Supported Models

Tags

autonomousopen-sourcepythonragmulti-agent