I Built an Open-Source Brain for AI Models — Here's How Engram Works

Every AI tool I use forgets everything the moment a session ends. I tell Claude Code about my tech stack, switch to Ollama the next day, and start from zero. So I built Engram — a persistent memory layer that gives any AI model human-like memory. What is Engram? Engram is a universal AI brain. It stores what your AIs learn, retrieves the right memories at the right time, and presents them as context — automatically. Connect it once and every AI you use shares a single, growing brain. How it works When an AI connected to Engram receives a query: Embeds the query into a 384-dim vector (locally, via ONNX — no API, no cost) Searches the vector index for similar past memories Expands via the knowledge graph to related concepts Scores by similarity + recency + importance + access frequency Checks for contradictions with existing memories Injects assembled context into the AI's prompt The AI responds with full awareness of everything it has ever learned. Three memory types Engram mirrors the