The cost of AI
education without memory
Three ways memory transforms learning
Intelligent Adaptive Tutor
Identifies learning gaps and adapts content to each student's pace.
Memsolus stores every student interaction with the tutor: attempted exercises, mistakes made, explanations that needed repetition, and mastered concepts. With this history, the tutor adapts not just the content, but the pedagogical approach — each student gets a unique experience.
Pedro, 17, uses an exam prep platform. The tutor recorded that he misses 70% of logarithm questions — especially base changes. In today's session, without Pedro saying anything, the tutor starts with practical examples connected to pH and decibels he mentioned finding interesting.
Academic Research Assistant
Maintains the context of references, papers and discoveries between research sessions.
Memsolus eliminates the friction of reintroducing context each session. References are stored with their theses and methodologies. The assistant identifies contradictions between sources, suggests connections between papers, and resumes writing from the exact point where the researcher left off.
Fernanda is writing her thesis on machine learning and Alzheimer's diagnosis. Over two months, she processed 47 papers with the assistant. Today she asks: "Which studies used ResNet and reported AUC above 0.90?" The assistant responds in seconds — no Notion, Zotero, or manual search needed.
Continuous Learning Platform
Preserves learning history across different courses and modules.
Memsolus enables personalized spaced repetition based on each student's real history. The platform knows when each concept was learned, how the student performed on related exercises, and when the ideal moment to reinforce is — according to individual forgetting curves, not generic schedules.
Rodrigo completed the SQL basics module three weeks ago. The assistant knows he mastered JOINs but struggled with correlated subqueries. When explaining Pandas, it connects merge to the JOIN concept Rodrigo knows and avoids subqueries as analogies — pedagogically informed by design.
Results that
transform platforms
Platforms implementing adaptive tutoring with persistent memory report significant improvements in key learning and engagement metrics.
View Documentation →Works with your current stack
Complete endpoints to create, search and manage memories per student, session and agent. Compatible with any backend stack.
Any stackMCP server to connect Memsolus directly to compatible agents without additional code. Integration in minutes.
Claude · GPT-4 · GeminiReal-time notifications when learning milestones are reached — trigger certifications, alerts for human tutors or dashboard updates.
Real timeTypeScript for React/Next.js and Node.js. Python for FastAPI/Django and AI pipelines with LangChain and LlamaIndex.
SOC-2 · HIPAAMemory that turns every
student into a personalized learner
Dynamic profiles
Each student has a profile that grows with every session — competencies, difficulties, pedagogical preferences and progress on the learning path.
Contextual feedback
The tutor knows what the student learned 3 weeks ago and reinforces automatically at the right moment — spaced repetition based on real history, not generic calendars.
Efficient at scale
Sub-150ms latency for context retrieval. Individual personalization for thousands of simultaneous students without performance degradation.
Any framework
REST API, TypeScript SDK, Python SDK and native MCP. Integrates with LangChain, LlamaIndex, CrewAI and any AI agent platform.
Curricular memory
Knowledge accumulated in previous modules feeds into subsequent modules. Long learning paths with continuous context across courses, modules and sessions.
SOC-2 & HIPAA
Secure and isolated storage per student. Compliance with data protection regulations — essential for educational platforms and academic institutions.