AI Chats Break. New Chats Forget. Here's the Fix.
AI users face a tradeoff between messy long chats and forgetful new chats. Kumbukum fixes it with durable memory.
AI users face a tradeoff between messy long chats and forgetful new chats. Kumbukum fixes it with durable memory.
I'm excited to share that my team and I have been diligently working on an innovative new project called Kumbukum. Our goal with Kumbukum is to revolutionize the
Developers building their own AI memory layers hit the same walls every time: noise accumulation, no decay, no cross-tool sync. Here is why rolling your own is harder than it looks.
MCP tool calls eat 500-2000 tokens of overhead. Naive memory servers bloat your context window and degrade AI quality. Here is how to fix it.
MemPalace got thousands of GitHub stars in a week. But is it real persistent AI memory or just better-organized forgetting? The answer matters for builders.
Memory lock-in happens when your long-term AI context is trapped inside one vendor. Learn how it works and how to stay free with a shared persistent memory layer.
AI context management is the missing piece when your AI keeps answering like nothing happened. Save a context pack of decisions, constraints, and current state, and reuse it across Cursor, Claude, and ChatGPT.
AI memory systems store text, not meaning. Here is why it breaks and what persistent memory must do instead.
Everyone celebrated when Claude hit 1 million tokens. But at the end of the session, it all disappears. Here's why context window size and persistent AI memory are not the same thing.
Your AI is smart. It just has no memory. Kumbukum is a persistent memory layer that works across Claude, Cursor, ChatGPT, and any MCP-compatible tool. Set it up once. Your context travels everywhere.