The ekkOS Blog
Learn about AI memory, the golden loop, and how ekkOS makes AI agents smarter over time
The Multi-Agent Memory Crisis -- Why Adding More Agents Makes Things Worse
Research shows multi-agent AI systems fail 40-80% of the time. The culprit isn't the agents themselves -- it's fragmented memory.
The Instruction Hierarchy Problem — Why Your AI Keeps Ignoring the Rules
System prompts live in the same context as user input. That's a security flaw by design. Here's how persistent directives create actual governance.
Why AI Coding Assistants Are Getting Worse — And What To Do About It
Newer AI models produce code that runs but fails silently. The culprit: training data poisoned by users who accepted broken code. Here's how to protect yourself.
Linus Torvalds Is Vibe Coding Now. Here's What That Actually Means.
The Linux creator built a project with AI assistance over the holidays. His approach reveals the nuanced reality of AI coding tools in 2026.
One Memory, Five Tools — Ending the AI Fragmentation Problem
You use Cursor for coding, Claude for architecture, ChatGPT for docs. Each one starts from zero. Here's how MCP and persistent memory unify your AI experience.
Your AI Forgot Again — The Context Window Crisis Nobody Talks About
Context windows are getting bigger. AI memory isn't. Here's why 1M tokens still isn't enough — and what happens when your model hits the wall.
Why RAG Isn't Memory — And What Actually Is
Retrieval-Augmented Generation retrieves documents. But retrieval isn't learning. Here's why your AI still forgets everything after every session.
Why Jailbreaks Work — And How Persistent Memory Fixes Them
Prompt-based safety relies on instructions in the same context as adversarial input. Moving constraints outside the conversation changes the threat model entirely.
Welcome to the ekkOS Blog
Introducing the ekkOS blog - where we share insights about AI memory, the golden loop, and making AI agents smarter over time.