What's really happening inside the AI agent memory infrastructure war?
The common story is that bigger context windows and better vector search will solve it — but the reality is every serious infrastructure vendor is racing to fix a deeper problem that classic RAG can't touch.
In this video, I share the inside scoop on why memory is now the real battleground for production AI agents:
• Why classic RAG was built for chatbots, not agents
• How Pinecone, PageIndex, SAP, and GraphRAG attack different shapes
• What a retrieval contract actually looks like for AI agents
• Where most agent builds quietly waste their token budget
Builders who write down what their agent needs before picking a database will ship reliable systems — the ones who shop vendor-first will keep paying for rediscovery on every run.
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