AgentRecall is a SaaS platform that provides persistent memory for Large Language Model (LLM) coding agents. It leverages Redis for efficient storage and retrieval of agent context, allowing agents to maintain state across multiple interactions and projects. This solves the problem of LLM agents forgetting previous conversations or code snippets, enabling more complex and coherent code generation, debugging, and refactoring tasks. Users can integrate AgentRecall with their existing LLM agent frameworks to enhance their capabilities.