I've been manually copying responses between chats when I hit token limits, and I'm wondering - have you considered a multi-AI consensus approach instead of persistent memory?
The idea: multiple AIs (Claude, GPT, Gemini, Grok) brainstorm simultaneously and produce one agreed response. This might solve the context problem more elegantly because:
- No token limit anxiety - you get comprehensive answers upfront
- Better quality through AI cross-validation
- The consensus answer naturally becomes your context
- Simpler to implement - just parallel API calls vs memory tree management
Just curious if you've explored this direction or if there's a reason the memory persistence approach works better for your use case?
The idea: multiple AIs (Claude, GPT, Gemini, Grok) brainstorm simultaneously and produce one agreed response. This might solve the context problem more elegantly because:
- No token limit anxiety - you get comprehensive answers upfront - Better quality through AI cross-validation - The consensus answer naturally becomes your context - Simpler to implement - just parallel API calls vs memory tree management
Just curious if you've explored this direction or if there's a reason the memory persistence approach works better for your use case?