Create Context Graph scaffolds Neo4j agent memory.

Strong release if you want a working memory layer instead of a slide-deck idea of “agent context.”

• –The value prop is concrete: scaffold a real app, not just a library, with UI, backend, schema, and memory wiring already in place.
• –The three-layer memory model is the real differentiator here, especially the reasoning trace layer for auditability.
• –Domain presets plus custom-domain generation lower the barrier for teams that want a tailored knowledge graph without designing the ontology from scratch.
• –The downside is that it is opinionated around Neo4j and a generated app architecture, so teams looking for a minimal embedding-only stack may find it heavy.
• –Best fit: teams building support, ops, research, or workflow agents where structured retrieval and provenance matter more than raw chat latency.