Memoria: Agentic Memory for LLMs

This webinar will discuss the need for agentic memory in LLM applications and introduce Memoria, a simple and efficient Python library designed to add a memory component to any LLM-based system. We will cover why memory is essential for creating more intelligent, context-aware applications and how Memoria makes integrating memory capabilities into your projects easy.

Key Takeaways:

• Understand the importance of agentic memory in building context-aware LLM applications.
• Get introduced to Memoria, a lightweight Python library for adding memory to LLM systems.
• Learn how memory enhances the intelligence and coherence of AI agents over time.
• Discover how easily Memoria can be integrated into your existing GenAI workflows.

Samarth Sarin is a Data Scientist at BlackRock with over 7 years of experience, specializing in Natural Language Processing and Generative AI. He holds a B.Tech in Computer Science and an M.Tech in Artificial Intelligence from NMIMS, Mumbai. A self-taught data science professional, Samarth is passionate about emerging technologies and thrives on building impactful, innovative solutions. He continuously seeks opportunities to learn and apply cutting-edge AI techniques to solve complex business problems. You can reach him on LinkedIn.