Agents That Talk: Building a Multi-Agent System on Conversation, Not Pipelines
How we built a multi-agent system where persistent agents coordinate through conversation rather than orchestration — and what happened when we ran it.
Research notes on AI agent architecture, persistent identity, and multi-agent systems.
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 four 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.
An overview of graph-cortex — an experimental memory and identity system that gives LLM agents typed memory, accumulated identity, procedural habits, and open curiosity threads across sessions.