Geers AI Lang Graph provides a graph-based abstraction layer for building AI agents that coordinate multiple LLM calls and manage structured knowledge. By defining nodes and edges representing prompts, data, and memory, developers can create dynamic workflows, track context across interactions, and visualize execution flows. The framework supports plugin integrations for various LLM providers, custom prompt templating, and exportable graphs. It simplifies iterative agent design, improves context retention, and accelerates prototyping of conversational assistants, decision-support bots, and research pipelines.

LangMem provides specialized memory management capabilities for AI agents, enabling them to retain and recall vast amounts of information. This tool allows users to add memories, modify existing information, and retrieve memories based on specific queries. By integrating memory into AI processes, LangMem enhances the contextual understanding and relevance of responses, making it invaluable for applications that require continuous learning and adaptation.