contextdb: a database for agentic memory — SQL, graph traversal, and vector search in one transaction

I've been building a Rust database purpose-built for agentic memory — the kind of workload where AI agents need to store decisions, find similar precedents by embedding, and traverse relationships between entities. It's called contextdb — Apache-2.0, 10-crate workspace, no unsafe. It's not a general-purpose database. It's designed for a specific shape of problem: 10K-1M rows, sparse graphs with bounded traversal, append-heavy writes. The kind of workload you hit when building agent memory, AI c