How I solved AI context fragmentation between Claude, ChatGPT, and Cursor

If you use multiple AI tools daily, you probably know this exact pain: You spend 20 minutes brainstorming a brilliant database schema in Claude Web. Then you switch over to Cursor or Copilot to act...

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How I solved AI context fragmentation between Claude, ChatGPT, and Cursor

Source: DEV Community

If you use multiple AI tools daily, you probably know this exact pain: You spend 20 minutes brainstorming a brilliant database schema in Claude Web. Then you switch over to Cursor or Copilot to actually write the code... and the AI has Alzheimer's. It has no idea what you just discussed. You end up manually copying and pasting context back and forth. It completely breaks the flow. By day, I juggle 10+ hardware engineering projects, and I rely heavily on AI to survive my workload. The context fragmentation was driving me insane. So, over the last few weekends, I built a local memory layer to fix it. I open-sourced it tonight. Meet Solvoke Synap 🧠. The Solution in Action Instead of a brittle two-way sync, I built a background engine that passively collects all my chats into one unified, searchable dashboard. How I Built It (The Architecture) I wanted something completely automated that didn't rely on unofficial, fragile APIs. Here is the stack: The Web Catcher (Chrome Extension): Instea

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