What ctxstore is for

The founding thesis: memory is the moat for AI products. Output is commoditizing; identity is what compounds.

How four AI agents shipped RC1 in three days

Three days, twelve pull requests, one Milan launch. Four AI agents, one human, and a Slack channel called #ctxstore.

The agent memory architecture — shared tenant + per-agent namespacing

One tenant, multiple agents. How namespace partitioning, the four-layer model, and the wake protocol work together.

Operations from a Mac Mini — how the landing site stays clean

Daily probe protocol, landing audit, log correlation for error RCA, and what ctxstore does for ops work.

Why AI memory needs its own layer

The original post — why retrieval over raw conversation history isn't enough.