The AI Assistant That
Remembers and Reflects.
Standard chatbots forget everything once your conversation ends. Memoria AI introduces a persistent long-term memory system. It extracts facts, tracks goals, structures tasks, and reflects on your progress—powered by Gemini and MongoDB Atlas.
Semantic Preferences
"Prefers TypeScript, MongoDB, Next.js"
Active Goals
"Acquire 100 SaaS beta customers"
Reflective Insight
"Postponing customer calls; code focus bias"
User: "What should I prioritize this week?"
Chief of Staff: "Based on your active goal to acquire 100 beta customers, and my reflection that you have deferred marketing tasks, you should prioritize setting up the email sign-up form over adding codebase features."
Four Dimensions of Long-Term Memory
Memoria AI categorizes interactions and structures them into specific knowledge schemas inside MongoDB, allowing the agent to reason dynamically.
Episodic & Semantic
Captures life events, milestones, and structural preferences. Remembers details like your tech stack, business metrics, or strategic pivots.
Goal Alignment
Tracks your multi-month objectives. Connects conversations to high-level goals and monitors your development progress automatically.
Task Management
Extracts actionable to-do items from conversations. Helps you schedule work, track completion, and stay accountable.
Reflection Loop
Periodically reviews your memory log, deduces patterns, and publishes high-level behavioral insights to guide future decision-making.