Kodus-AI is a framework for building, training, and deploying intelligent agents and models, especially focusing on practical AI workflows for businesses and automation. It provides a structured set of tools and abstractions that help teams design agent behaviors, orchestrate data pipelines, optimize inference, and integrate AI capabilities with applications or services. The platform often includes model management, scalable training workflows, and orchestration patterns that help teams move from research or prototypes to production-ready AI deployments. Through configurable pipelines and a focus on modularity, it supports experimentation while maintaining reproducibility and performance. Its tooling is typically designed to handle real-world imperatives like logging, monitoring, versioning, and hooking into operational infrastructure.
Features
- Framework for building and managing intelligent AI agents and models
- Tools for scalable training workflows and pipeline orchestration
- Model versioning and reproducibility support for production environments
- Integration hooks for services, APIs, and automation platforms
- Logging, monitoring, and performance tracking for deployed models
- Modular design that supports experimentation and production pipelines