Model Context Protocol (MCP) for Local LLMs: Connect Ollama & vLLM to Workstation Tools
📌 The Executive Verdict: The Model Context Protocol (MCP) Decoupling Anthropic's open-standard Model Context Protocol (MCP) resolves the fundamental…
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Janas: Run LLMs Bigger Than Your RAM by Streaming from SSD
What Is Janas Janas is a tool that runs LLMs bigger than your RAM by streaming expert models from SSD. It launched in October 2026 and has been quie…
How to Run Local LLMs on Apple Silicon
This is about the model, on its own — what tool to install, what format to pull, and how to actually talk to it. Not wrapped in a VM, not wired up t…
Mac Studio M5 Ultra vs NVIDIA DGX Spark: The $5,500 Local AI Bet
Two weeks ago I priced out what it would take to run a 200B-parameter model in my apartment in Dhaka without cloud tokens. The used-GPU route kept d…
I Built an Agent Evaluation Harness for Local AI — What Most People Get Wrong
I Built an Agent Evaluation Harness for Local AI — Here's What Most People Get Wrong DOYR | Not financial/legal/tax advice. For educational purposes…
Sipp: a local-first runtime for Hybrid AI Applications
Over the past few months, I had the opportunity to contribute to llama.cpp’s WebGPU backend, helping push it from isolated operator support toward a…
Can You Tell When an LLM API Swaps in a Cheaper Model?
If you call an open-weight model behind an API, whether that is your own box, a hosted endpoint, or a router, you are trusting that the thing answer…
How to Secure Local LLM Model Files: A Zero Trust Guide
When you download a model file for your homelab, you aren't just grabbing data; you are importing an untrusted dependency with execution privileges.…
NVIDIA RTX Spark: What the Backlash Gets Wrong About AI on Your Desktop [2026]
NVIDIA RTX Spark launched on June 1, 2026, and within 72 hours the internet had already decided it was either the death of Apple Silicon or the next…
Your Agent Has a Memory That Runs While You Sleep
This post is part of the akm-knowledge series. Part ten introduced the improve pipeline — what each phase does and how to schedule it. This post goe…
From 30 Minutes to 8: How LLM-Mode Reflect Works
This is part thirteen in a series about managing the growing pile of skills, scripts, and context that AI coding agents depend on. Part ten covered…
Мой опыт с ИИ в России глазами европейца
Это история о том, как я собрал полностью локальную ИИ-среду разработки (и почему вам стоит сделать то же самое). Переезд из Евросоюза в Москву каза…
Best Local AI Models for Each VRAM Tier (4 GB to 80 GB) in 2026
This article was originally published on runaihome.com Every "best local AI model" article skips the question that actually matters: best for what V…
AnythingLLM vs Open WebUI vs LibreChat in 2026: Which Self-Hosted AI Interface Should You Use?
This article was originally published on runaihome.com TL;DR : AnythingLLM is the fastest path to local document chat with zero terminal commands. O…
How AI reads your website, and what that means for the people who build it
By Takeshi Yokoyama — Onecarat Labs Hi. I'm Yokoyama, and I build a local-first AI text editor as a side project, along with a few other experimenta…
I Tried Building a Complex Security Tool with a 1.5B Local Model — Here's What Broke
Problem: I had aider running on Lubuntu, three API keys configured, a detailed architecture diagram, and a clear goal — build a modular forensic dat…
Running a Fully-Local AI Agent on a Mac Studio — OpenClaw + Ollama + MLX
A real-world, copy-paste guide to running a personal WhatsApp AI agent entirely on-device on Apple Silicon, with zero per-token API billing . Two ag…
Qwen 3.6 enable_thinking — The MoE Pitfall That Broke My Agent JSON Parsing
Qwen 3.6 enable_thinking — The MoE Pitfall That Broke My Agent JSON Parsing I lost two hours last week to a Qwen 3.6 quirk that doesn't show up in a…