Benjamin Schoolland

agent-core is a framework designed for working with large language models (LLMs) and creating agentic AI workflows that easily integrate with the Model Context Protocol (MCP). It allows users to create AI agents in fewer than 20 lines of code and provides automatic conversation management. Available as a Python package, it supports various models and is suitable for beginners.