🧠 Building Cross-Model Memory for AI Nexus: Because Context Switching Sucks
Hey IndieHackers!
Quick update on what I've been building for AI Nexus - shared memory across different AI models.
The Problem
Ever notice how you have to re-explain context every time you switch between Claude, GPT-4, and Gemini? It's like having amnesia between conversations.
Last week I was debugging an API issue:
Started with GPT-4 to plan the approach
Switched to Claude for code review (it's better at catching edge cases)
Went to Gemini for some specific Google Cloud stuff
Had to re-explain the entire context. Every. Single. Time. 🤦♂️
What I'm Building
Memory that persists across ALL models in AI Nexus. Here's how it works:
Basic idea: You teach something to one model, all models remember it.
Example workflow:
You → GPT-4: "I'm building a SaaS called ProjectX that does Y"You → Claude: "What security concerns should I consider?" Claude: "For ProjectX, given that it does Y, you should..."
Claude already knows about ProjectX. No re-explaining. 🎉
Memory Segments (The Cool Part)
I'm also experimenting with memory segments - basically folders for your AI's brain:
Project A Segment: API endpoints, architecture decisions, deployment notes
People Segment: Team members, their roles, communication styles
Code Standards: Your specific linting rules, naming conventions
Personal: Your preferences, writing style, timezone
Switch segments based on what you're working on. It's like having different workspaces for your AI assistant.
How It Actually Works
Without getting too deep in the weeds:
Natural language updates: "Remember that our API uses REST, not GraphQL"
Memories stored in markdown format (easy to read, edit, export)
Injected into system prompts based on active segment
Smart retrieval - only pulls relevant memories to save tokens
Current Status
✅ Basic memory persistence working
✅ Cross-model sharing functional
🔄 Building segment management UI
🔄 Testing memory search/retrieval
📋 Planning memory version control (track changes over time)
Questions for You All
What would you store in AI memory? I'm curious about use cases I haven't thought of
How would you want to organize segments? By project? By type? Both?
Privacy concerns? Currently memories are user-specific and encrypted, but what else?
Want to Try It?
I'm rolling this out to beta users next week. If you're already using AI Nexus (or want to start), drop a comment and I'll prioritize your access.
The goal is simple: Make AI assistants actually feel like assistants, not goldfish. 🐠
What do you think? Would this save you time?
