linear agents
Basic Information
This repository provides a lightweight framework for building linear agents that can be integrated into AI, automation, and research projects. It centers on a Python-based LinearAgent class with simple training and prediction methods so users can prototype behavior models and task-oriented agents. The project includes example projects for data analysis, automation, and simulation, and points to a docs folder with guides and an API reference. Releases include packaged downloads and an installer with basic configuration instructions. Repository signals also indicate content that explores multi-agent task breakdown and approaches to subtasking using Python and the OpenRouter API. The code is released under the MIT License and the project aims to be accessible to contributors who want a straightforward agent framework without heavy dependencies.
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