Agent Fragmentation
Agents operating in disconnected silos with no shared state, duplicating work and contradicting each other.
Agent Fragmentation is Tool Isolation scaled to multi-agent systems. When multiple agents work on the same project without shared state, they make independent decisions that may conflict. One agent decides on a naming convention while another agent uses a different one. One agent refactors a module while another agent is building features that depend on the old structure. Without shared context, each agent operates in its own reality, and the human is left to resolve conflicts that the system should have prevented.
More in Architecture
System-Centric AI
An architecture where planning, state, memory, and control live outside the model.
Model-Centric AI
An architecture where the model is expected to infer state, intent, plan, and memory from raw context.
Tool Isolation
Memory and context don't cross tool boundaries — each tool is a silo.
The Expertise Trap
Context and knowledge locked on one person's machine, inaccessible to the team.
Unified Context
A single, shared knowledge layer accessible to all agents and tools. The cure for Tool Isolation.
Context Portability
The ability to move knowledge between tools, agents, sessions, and team members without loss. The cure for The Expertise Trap.
Stateful, Inspectable Memory
A collaborative memory space where multiple agents and humans contribute to and draw from the same knowledge base — with full history and traceability.
Context Handoff
The ability to transfer full working context from one agent, session, or tool to another without loss. A specific operation enabled by Context Portability.