Memento — AI for Software Development

Every AI coding assistant suffers from a fatal flaw: it cannot retain knowledge across sessions, forcing you to constantly repeat project rules, architectural styles, and tribal knowledge. Memento solves this by introducing a persistent external memory system for LLMs. Instead of relying on a single static file like .cursorrules or struggling with standalone vector databases, Memento uses a hierarchical graph architecture combined with semantic similarity, keyword matching, and knowledge-graph traversal. As you work across different tools like Cursor, Claude Code, or Windsurf, Memento quietly records patterns and decisions. You can also teach it directly using commands like /remember or review what it knows in a plain-English web dashboard. Memories live in personal scopes by default but can be shared across team organizations, ensuring new developers have AI assistants that already understand project architecture on day one. With built-in features like sleep and consolidation cycles, Memento helps your AI assistant accumulate context over time so that it becomes more capable month after month rather than starting from zero with every new chat prompt.