Persistent AI Agent Memory Without Code Modification

AI agents typically lose context between sessions, forcing developers to choose between manual context re-entry, expensive fine-tuning, or complex RAG infrastructure. Memory Sidecar provides a lightweight, non-invasive solution that sits alongside any AI agent, automatically learning from interactions and injecting relevant context when needed. This approach makes persistent memory practical for everyday development without requiring agent code modifications or complex infrastructure.