Beyond the Chat Tab: Multi-Player AI Agents and Shared Memory

We explore a proposed architecture for persistent, collaborative AI teammates: shared memory fabrics that preserve context, CRDTs that merge simultaneous edits, reversible execution traces, conflict-resolution rules, and user-authorized permissions. What could happen when AI agents become secure, long-lived collaborators rather than isolated chat sessions? Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information. Sponsored by Embersilk LLC