Building Persistent Memory for AI Agents Without Code Modifications

AI agents typically lose context between conversations, requiring users to repeat information endlessly. Memory Sidecar addresses this by implementing a three-tier memory architecture as an independent process, requiring no changes to the agent itself. This approach matters because it makes long-term AI memory accessible to production systems without invasive modifications.