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World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

Solving AI Amnesia: Building "Infinite Memory" for Agents without the RAM

Tara Khani

Expanding LLM context windows bankrupts infrastructure. Discover how Memanto.ai moves vector storage out of RAM to grant your autonomous agents infinite, persistent memory without the astronomical costs.

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#1 about 2 min

Cost limitations of continuous memory for autonomous agents

Storing billions of vectors in standard databases causes prohibitive infrastructure costs for long-running processes.

#2 about 1 min

Introducing open source agentic memory with serverless infrastructure

Deploying a serverless vector search backend solves agent amnesia by retaining data across sessions without relying on static context.

#3 about 2 min

Six core principles for building effective agent memory

Designing reliable memory systems requires prioritizing relevant facts, updating stale information, tracking sources, and preventing conflicting data.

#4 about 3 min

Navigating the interactive dashboard and command line interface

Managing history and resolving conflicts visually enables developers to monitor agent states and execute manual retrieval tasks easily.

#5 about 1 min

Integrating persistent memory across various artificial intelligence frameworks

Connecting extended memory capabilities natively into development tools supports continuous histories across diverse workflow frameworks.

#6 about 2 min

Analyzing feature comparisons and state of the art benchmarks

Evaluating semantic ingestion against standard performance metrics demonstrates high recall efficiency compared to alternative storage options.

#7 about 2 min

Engaging with the open source agent memory community

Executing a simple installation command allows developers to initialize persistent memory backends and participate in ecosystem projects.

Matching moments

3:29 min

Exploring different industry approaches to AI agent memory

William Lyon · Coffee With Developers

1:30 min

Empowering autonomous agents with persistent relationship memory architectures

Gal Shubeli Gal Shubeli · World Congress 2026 Europe

1:15 min

Equipping AI agents with memory and context

Oren Penso Oren Penso · World Congress 2026 Europe

1:24 min

Designing short-term and long-term memory for intelligent agents

Zaid Zaim Zaid Zaim +1 · World Congress 2026 Europe

1:32 min

Introduction to context engineering in AI

Emre Okcular Emre Okcular · World Congress 2026 North America

2:36 min

Exploring the core architecture and components of AI agents

Jörg Neumann Jörg Neumann · World Congress 2025

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