Task-Centric Memory Code Samples

_(EXPERIMENTAL, RESEARCH IN PROGRESS)_ <p align="right"> <img src="../../packages/autogen-ext/imgs/task_centric_memory.png" alt="Description" width="300" align="right" style="margin-left: 10px;"> </p> This directory contains code samples that illustrate the following forms of fast, memory-based learning: * Direct memory storage and retrieval * Learning from user advice and corrections * Learning from user demonstrations * Learning from the agent's own experience Each sample connects task-centric memory to a selectable agent with no changes to that agent's code. See the block diagram to the right for an overview of the components and their interactions. Each sample is contained in a separate python script, using data and configs stored in yaml files for easy modification. Note that since agent behavior is non-deterministic, results will vary between runs. To watch operations live in a browser and see how task-centric memory works, open the HTML page at the location specified at the top of the config file, such as: ./pagelogs/teachability/0 Call Tree.html To turn off logging entirely, set logging level to NONE in the config file. The config files specify an _AssistantAgent_ by default, which uses a fixed, multi-step system prompt. To use _MagenticOneGroupChat_ instead, specify that in the yaml file where indicated.