A typed knowledge graph that inverts the usual wiki model: your AI agent writes, you read. Instead of dumping markdown into folders, the agent creates structured entities (concepts, decisions, tasks, facts) and connects them with named, temporal relationships via MCP tools like save_entity, link_entities, and get_related. Think of it as persistent memory across sessions and agents. One conversation ends with Claude Code writing a handoff fact, the next morning Claude web loads the same graph and picks up where you left. Runs on-prem in Docker Compose with SurrealDB storage. Built for teams that want decision archaeology and cross-agent continuity without wrestling Notion or grep-ing Slack. The dashboard shows you the graph but has no edit buttons by design.