“Classic AI amnesia.” That’s how we described it in our latest podcast-style short.
You ask your AI assistant something, get a decent answer… and ten seconds later, it forgets everything you just said. Again.
It might work for one-shot questions, but it completely breaks when you're trying to build real workflows or smart agents.
In this short conversation, we talk about how Model Context Protocol (MCP) is changing that:
- Giving agents memory and task tracking
- Maintaining context across sessions and tools
- Using techniques like RAG and vector databases to feed relevant information back into the model.
MCP is not just about storing everything, it's about remembering the right things to make your AI more useful.
The result? AI agents that behave less like calculators and more like teammates.
We’re constantly exploring how developers are pushing AI agents forward, if you’re into conversations like this, check out more on our channel.
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