A new implementation uses Elasticsearch to manage agent memory via hybrid retrieval and Document Level Security. This approach combines dense and sparse vectors to improve context recall. It ensures strict data isolation between different users. Developers can now scale long-term memory for AI agents without sacrificing granular access controls or retrieval precision.