LinearMemory turns AI agent executions into visual, auditable memory. Follow context, searches, recalled knowledge, decisions, tools, errors, reflections, and outcomes through timelines and an interactive 3D graph. It supports semantic search, validated knowledge, evidence-based relationships, and shared memory across agents. Built with MCP, PostgreSQL, Docker, and local embeddings, without storing private chain-of-thought.