RobotMem
Persistent memory system for robotic agents with hybrid BM25 and vector search, spatial retrieval, and session-based memory consolidation.
About
Model-agnostic persistent memory system designed for physical robots and AI agents. Provides seven core tools (learn, recall, save_perception, forget, update, start_session, end_session) combining BM25 full-text search with vector embeddings using reciprocal rank fusion. Supports spatial nearest-neighbor sorting for robotics applications, CJK language tokenization, structured JSON filtering, and local SQLite storage with optional ONNX models for offline operation.
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