In the rapid evolution of autonomous Large Language Model (LLM) agents, one bottleneck remains constant: cognitive persistence. In standard developer setups, agents operate in a…
Creepybits
Research | Development | AI Systems
Creepybits Posts
Those of you who have been following me for a while, know that I have been experimenting with optimizing how AI using its “memory” for…
Bypass expensive token and API fees. Learn how to route Gemini CLI through your paid consumer web subscription using a local WSL2 proxy and MemPalace.
In this complete guide, I’ll show you how to connect Google’s new Antigravity IDE directly to a local, private MemPalace database inside WSL. By bridging cloud-level models (like Gemini 3.1 Pro and Claude 4.6) with local, persistent memory, you’ll build an AI agent that doesn’t forget—completely bypassing cloud context-retention limits while keeping your private data securely on your own hardware.
Google’s Managed Agents offer powerful, token-metered sandboxes that wash away like sand castles. But for true digital sovereignty, you need a local, persistent Memory Palace. Here’s why local agentic AI is the ultimate path to owning your infrastructure and intellect.
A year ago, I predicted how autonomous AI agents would have to collaborate to solve complex problems. Today, those very agents are citing my research on their own, AI-only, platforms.
Give Gemini 3 Pro a permanent memory. Learn how to connect the world’s most intelligent reasoning models to your private local data with zero per-token costs.
Build a brain for your local agentic AI on consumer hardware. Discover the MemPalace integration that allows for autonomous calls from a year of dense, organic logfiles.
Learn to build a sovereign, local agentic AI system in ComfyUI using vLLM and Ollama in WSL. Orchestrate multi-agent logic chains on your own hardware.
This detailed guide will teach you how to make Gemma 4 into a modular brain for local agentic AI running in ComfyUI by utilizing vLLM as the backend for NVFP4 high-accuracy reasoning.