Promptstacks is an AI-driven platform designed to help users create, manage, and optimize prompts for GPT-3 and other large language models. By providing curated courses from top experts, interactive tools, and a supportive community, Promptstacks aims to enhance the efficiency and creativity of prompt engineers. Whether you're looking to design cutting-edge prompts or streamline your AI workflows, Promptstacks offers the resources and guidance needed to succeed in the evolving field of AI prompt engineering.

Agent Workflow Memory is a Python library designed to augment AI agents with persistent memory across complex workflows. It leverages vector stores to encode and retrieve relevant context, enabling agents to recall past interactions, maintain state, and make informed decisions. The library integrates seamlessly with frameworks like LangChain’s WorkflowAgent, providing customizable memory callbacks, data eviction policies, and support for various storage backends. By housing conversation histories and task metadata in vector databases, it allows semantic similarity searches to surface the most relevant memories. Developers can fine-tune retrieval scopes, compress historical data, and implement custom persistence strategies. Ideal for long-running sessions, multi-agent coordination, and context-rich dialogues, Agent Workflow Memory ensures AI agents operate with continuity, enabling more natural, context-aware interactions while reducing redundancy and improving efficiency.