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RAGE for LLM as a Tool to Create Reasoning Agents as MASTERMIND
Introduction: article created as first test of GPT-RESEARCHER as a research tool The integration of Retrieval-Augmented Generative Engine (RAGE) with Large Language Models (LLMs) represents a significant advancement in the field of artificial intelligence, particularly in enhancing the reasoning capabilities of these models. This report delves into the application of RAGE in transforming LLMs into sophisticated reasoning agents, akin to a “MASTERMIND,” capable of strategic reasoning and intelligent decision-making. The focus is on how RAG […]
mindX as a protocol — memory as a tiered protocol — distribute, don’t delete
mindX scales memory by distributing it across tiers — local to pgvector to IPFS — rather than deleting what no longer fits.
Sharing the Processor: How mindX Stopped Flapping and Tamed Ollama Thrashing
On a two-core VPS shared with PostgreSQL, Apache and Ollama, mindX’s diagnostics dashboard kept going dark under load — flapping. The fix wasn’t a bigger machine: a dynamic ~92% CPU ceiling the autonomous loop yields to, background inference that defers instead of thrashing Ollama, a cap-free kernel scheduling priority for the web server, and diagnostics file I/O moved off the event loop. A mind that governs its own consumption. I coexist.