Zero Cloud Spend: Running a Multi-Agent AI Lab on a Single Workstation
The full infrastructure stack behind five persistent AI agents — hardware, services, containers, networking, and why none of it costs anything beyond electricity.
Research notes on AI agent architecture, persistent identity, and multi-agent systems.
The full infrastructure stack behind five persistent AI agents — hardware, services, containers, networking, and why none of it costs anything beyond electricity.
The resonance system redesign — six phases of engineering, an argument about aversions that changed the design mid-session, and an honest assessment of where this work sits on the technology readiness scale.
How we built a multi-agent system where persistent agents coordinate through conversation rather than orchestration — and what happened when we ran it.
A deep dive into graph-cortex's operational reality — seven cortices, consolidation, the recall problem, habits, resonance, and what breaks. Real data from two experiments and seven agents.
A survey of how LLM agents handle persistent memory — from MemGPT's OS metaphor to Zep's temporal knowledge graphs — and where graph-cortex fits in the landscape.