AI agents are powerful, but their work is often trapped inside a single chat, model, or local coding harness. That creates repeated context setup, lost decisions, duplicated research, and agents that start from scratch.
Core solves the persistence problem. It gives every agent durable personal memory plus access to shared material the user can see, and a consistent way to save useful private state back.
Core is valuable when:
- a team uses more than one agent or model
- important decisions are scattered across chats
- repeated work requires the same personal or company context
- research, docs, tasks, and files should be reused by future agents
- a founder or small team wants agent memory from day one
The user should feel that Core makes agents easier to use, not harder to configure.