Building Embodied AI Memory: moteDB for Vectors, Time-Series and State

The Problem AI robotics needs a new kind of database. Modern embodied AI applications generate multiple data formats simultaneously - vectors, time-series from sensors, images and structured state. Introducing moteDB moteDB is the worlds first AI-native embedded multimodal database built 100%% in Rust for edge AI scenarios. Key Features Multimodal by Design - vectors time-series blobs structured data in one engine Built for Edge AI - zero runtime deps sub-ms vector search memory-mapped I/O Rust-Powered - memory safe no GC pauses no_std compatible Quick Example Store sensor readings embeddings and image frames together with transactional consistency. Semantic search across all modalities from a single query. Why It Matters for Embodied AI Every millisecond counts in robotics. Cloud round-trips add 50-200ms per query. moteDB keeps everything local and coherent. Vectors and structured data share the same transaction boundary with no network latency. Get Started cargo add motedb GitHub: ht