Engram: a shared graph memory lets multiple AI coding tools share one memory

The author uses several AI coding assistants, but each forgets context from the others, so decisions made in one tool are lost when switching to another. To fix this, they built Engram for a FalkorDB hackathon, a single graph-based memory that every tool on their machine reads from and writes to. The graph approach handles reversed decisions cleanly, since a newer memory can supersede an older one through an explicit edge instead of both appearing in search results. Graph traversal also enables provenance tracing and improves recall by linking related entities, though the author ran into issues with FalkorDB's result format and full-text query parsing.