Memory
TurboQuant Explained: How Google's KV Cache Trick Cuts Memory 6x With Zero Quality Loss
Google's TurboQuant compresses the KV cache 6x with zero accuracy loss. Here's what it actually does, how it works in llama.cpp and MLX, and what it means for running bigger models on your GPU.
Ghost Knowledge: When Your RAG System Cites Documents That No Longer Exist
Your RAG system confidently quotes a policy that was updated months ago. The old version is still in the vector database. Nobody notices until the wrong answer costs real money. Here's how to find and fix ghost knowledge.
Memory Leak in Long Conversations: Causes and Fixes
VRAM climbs with every message until your model crashes? It's probably KV cache growth, not a leak. How to diagnose, monitor, and fix memory issues in local LLMs.
Why Your AI Keeps Lying: The Hallucination Feedback Loop
How one bad memory poisoned our entire RAG pipeline — and the immune system we built to fix it. Real code from mycoSwarm's self-correcting retrieval system.
OpenClaw Memory Problems: Context Rot and the Forgetting Fix
Your OpenClaw agent forgets instructions, repeats questions, and contradicts itself in long sessions. Here's how its memory works and how to fix it.
The AI Memory Wall: Why Your Chatbot Forgets Everything
Six architectural reasons ChatGPT, Claude, and Gemini forget your conversations — and how local AI setups solve the memory problem with persistent storage and RAG.
Session-as-RAG: Teaching Your Local AI to Actually Remember
Build persistent conversation memory for local LLMs. Chunk sessions, embed in ChromaDB, retrieve relevant past exchanges at query time. Full Python implementation with topic splitting and date citations.
Week 3: Unified Memory Search — The Swarm Remembers
Session-as-RAG, topic splitting, citation tracking, and three releases in two days. The swarm can now search its own conversation history.