SochDB is a high-performance embedded, ACID-compliant vector database purpose-built for AI agents and memory
We built it after repeatedly running into complexity around SQL + vector DB + context/memory when building LLM and agent apps.
SochDB is embedded and local-first by design. The goal is to reduce glue code and make reasoning about state simpler.
Happy to answer questions about: - embedded vs cloud trade-offs - SQL + vector data modeling - where this fits (and doesn’t)
Open to all feedback, including critical takes.