All Agentic Architectures is an open educational repository that provides hands-on implementations of modern AI agent architectures. The project acts as a practical learning resource that bridges the gap between theoretical research on autonomous agents and real software implementations. It contains more than a dozen agent architectures implemented using frameworks such as LangChain and LangGraph. Each architecture is explained through runnable notebooks that illustrate how the agent works internally and how it interacts with tools, data sources, or other agents. The repository organizes the architectures into a structured learning path that progresses from simple reasoning agents to complex multi-agent systems. Examples include planning agents, tool-using agents, tree-of-thought reasoning systems, and collaborative multi-agent environments.
Features
- Implementations of more than seventeen agent architectures for large language models
- Hands-on notebooks demonstrating agent reasoning and tool usage workflows
- Integration with LangChain and LangGraph development frameworks
- Examples of multi-agent collaboration and planning architectures
- Structured learning path progressing from basic to advanced agent systems
- Educational resource bridging research concepts and practical code