Text2Mem: A Unified Memory Operation Language for Memory Operating System
Existing LLM agent memory frameworks support only basic operations (e.g., encode, retrieve, delete) and lack advanced capabilities such as merging, promoting, or demoting memories; moreover, memory commands lack formal specification, leading to unpredictable behavior and poor cross-system interoperability. Method: We propose Text2Mem—the first standardized memory operation language—featuring a JSON Schema–defined instruction set and semantic invariants that establish an end-to-end path from natural language directives to deterministic execution. Its three-layer architecture (parsing–validation–adaptation) decouples instruction generation from execution, supporting the full spectrum of operations (encode, retrieve, merge, promote, etc.). A unified execution contract integrates embedding and summarization models, backed by an extensible SQL prototype. Contribution/Results: Text2Mem ensures safety, determinism, and portability across heterogeneous backends. We further introduce Text2Mem Bench, a benchmark suite enabling systematic evaluation of memory operation frameworks.