Comparison note
The best AI setup is not a model. It is Ditto plus the models.
Frontier models are powerful. Open models are flexible. Ditto makes both useful in the part of work that lasts: memory, context, files, tools, people, and the thread you keep returning to.
Ditto Memory stays still while the models move.
Frontier GPT, Claude, Gemini
Open Llama, Qwen, Mistral
Context MCP, files, apps
The model is the engine, not the workshop.
01 A frontier model is a very good engine.
02 An open model is a very useful engine you can own.
03 Neither is the place where your work should live.
04 Ditto is that place.
Bench test
Run the same work through both setups.
The difference is not an abstract leaderboard score. It shows up when the work has history.
Test
Model alone
Ditto plus models
Start a new thread
The model waits for a briefing.
Ditto brings the running context with it.
Switch models
You move the work by hand.
The memory layer stays put. The engine changes.
Return after a week
The conversation has to be rebuilt.
People, files, decisions, and preferences are already in reach.
Use open models
You inherit the retrieval and tooling burden.
Open models get the same memory and context as frontier models.
Operating principle
Choose the layer that can outlive the model race.
- The memory belongs to the user, not the model vendor.
- The model can change without resetting the relationship.
- Context should be assembled before the answer, not pasted in after panic starts.
- Agents should inherit the same source of truth instead of improvising a new one.
Bottom line
Use the best models. Keep your memory in Ditto.
The model should be swappable. Your context, preferences, files, and working history should not be.
Try Ditto