All the articles with the tag "architecture".
The useful version of agent memory is not a bigger bucket. It is a layered system: compact truth, raw notes, topic summaries, and a local index that works even when embeddings do not.
A useful personal agent needs more than prompts. It needs a workbench, QA, memory discipline, durable task running, evaluation, and docs that stay honest in CI.
Agents are the easy story. Changing the operating model is the hard one.
First impressions from DTW Ignite 2026 in Copenhagen: agentic AI is all over the agenda, but telecom still has the awkward problem of making the economics work.
Most enterprise AI strategies are still too model-first. The real leverage comes from designing an agent loop that can survive contact with reality.
