Advika Jalan & Sevi Uras & Nitish Malhotra — MMC - Agentic Enablers: Treating AI’s amnesia and other disorders - November 2025
FreeTreating AI’s amnesia and other disorders
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About Advika Jalan & Sevi Uras & Nitish Malhotra — MMC - Agentic Enablers: Treating AI’s amnesia and other disorders - November 2025
This research report by MMC explores the challenges of AI agent memory and context management, framing issues like hallucination and 'context rot' as 'amnesia' and other disorders. It details three key enablers: Context Portability solutions for personalized AI across platforms, Search APIs for accurate external knowledge retrieval, and Knowledge Graphs/Ontologies for structuring internal data to improve reliability and explainability. The report introduces the APE framework (Accuracy, Personalisation, Evolution) and is aimed at founders building in the context and memory management space.
Key Features
Context Portability solutions for cross-platform personalization
Search APIs for accurate, up-to-date external information retrieval
Knowledge Graphs and Ontologies for structuring proprietary knowledge
Focus on the APE framework: Accuracy, Personalisation, Evolution
Pros & Cons
Pros
- Free, comprehensive research report with actionable insights for founders
- Covers both technical and strategic aspects of memory management for AI agents
- Identifies specific startup opportunities in the context and memory infrastructure layer
Cons
- Not a software tool; it is a research report/framework
- Focuses on problem analysis rather than providing a ready-to-use solution
Best For
Improving AI agent accuracy and reducing hallucinationsEnabling continuous learning and knowledge retention over deploymentBuilding personalized AI agents that adapt to user preferences across platforms
FAQ
What is the APE framework mentioned in the report?
APE stands for Accuracy, Personalisation, Evolution. It summarizes why AI agents need context and memory management: to improve accuracy (avoiding hallucination and context rot), enable personalized behavior across platforms, and allow the agent to learn and evolve over time.
What are the main memory management solutions discussed?
The report highlights three key enablers: Context Portability solutions, Search APIs for external knowledge, and Knowledge Graphs/Ontologies for structuring internal knowledge.