AI Notes — Juanje Ojeda
Notes and articles on AI agents, memory systems, learning, and complex systems — from a software engineer who studies how adaptive systems learn.
I’m a software engineer at Red Hat. On the side, I research complex systems, neuroscience, and how agents (biological, social, or artificial) learn and adapt. These notes are where those interests converge.
Start here
- Intelligence Is Beyond the LLM — If what makes a system intelligent is its capacity to adapt, then an LLM on its own is not particularly intelligent. What gives it flexibility is everything around it.
- What If Your AI Agent Could Actually Learn? — On giving local agents memory, identity, and the ability to forget.
- Why File-Based Memory Works — The ideas behind giving AI agents memory are showing up everywhere. Here’s why they work and where they come from.
- When AI Agents Interact, Nobody Controls What Happens Next — Four studies show that multi-agent AI systems produce the same patterns as teams, markets, and ant colonies.
Themes
Explore by topic: AI agents, memory, complex systems, multi-agent systems, learning, harness, emergence.
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