Avoiding AI Vendor Lock-In: Keep Your Memory When You Swap Models
technology
Models change fast. Here is how to keep your knowledge, rules, and agents portable while you switch models.
New models arrive constantly, and the best choice today may not be the best choice next year. The risk is building your workflows around a model instead of around your own knowledge.
The model is rentable, your memory is not
Constella treats the model as a replaceable layer. Your company memory, your rules, and your AI agents stay in place when the model changes.
What to keep portable
- Knowledge: company memory connected in a knowledge graph
- Rules: roles, scopes, and approvals
- Agents: their jobs and boundaries
Signs of lock-in
- Your knowledge only works with one provider's model
- Permissions are defined inside a tool you cannot move
- Switching means rebuilding agents from scratch
A simple test
Ask: if we changed models next quarter, what would we have to redo? The answer should be close to nothing.
Governance across models
Because rules live above the model, they apply no matter which one you choose, including a self-hosted option when data must stay on your infrastructure.
See trust and controls for details.