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Rupesh Kumar

Stability Matrix: One Installer for ComfyUI, Forge and InvokeAI

November 5, 2026 by Rupesh Kumar

Illustration of package tiles for the Stability Matrix installer

Stability Matrix is a free desktop app that installs and updates local image-generation tools for you. It installs ComfyUI, InvokeAI, Forge, SwarmUI, SD.Next and two dozen more from one window, gives each its own Python environment, and lets them all share one models folder. It runs on Windows, macOS (Apple Silicon) and Linux, and it is made by Lykos AI. This guide covers what … [Read more...] about Stability Matrix: One Installer for ComfyUI, Forge and InvokeAI

Cline With a Local Model: Ollama and LM Studio Setup, Context and Permissions

November 3, 2026 by Rupesh Kumar

Illustration of a code editor with an AI panel for Cline on a local model

Cline is an open-source coding agent that reads your project, edits files and runs terminal commands from a chat panel. It ships as a VS Code and JetBrains extension, a desktop app and a command-line tool, and all of them can run on a model served by Ollama or LM Studio on your own machine instead of a paid API. This guide covers the provider settings for both runtimes, the … [Read more...] about Cline With a Local Model: Ollama and LM Studio Setup, Context and Permissions

Hermes Agent With Ollama: Running Nous Research’s Agent on Local Models

November 1, 2026 by Rupesh Kumar

Hermes Agent with Ollama

Hermes Agent is Nous Research's open-source personal agent. It remembers you across sessions, writes its own skills, runs scheduled jobs and answers through Telegram, Discord, Slack, WhatsApp or Signal. It has more than 256,000 GitHub stars, and it can run entirely on a model served by Ollama on your own machine. This guide covers the two ways to connect it to Ollama, the 64K … [Read more...] about Hermes Agent With Ollama: Running Nous Research’s Agent on Local Models

Meta Muse Spark Open Locally: 816B Weights, the Memory It Takes and the Licence

October 29, 2026 by Rupesh Kumar

Meta Muse Spark Open run locally

Meta released Muse Spark Open on 15 October 2026: an open-weight Mixture-of-Experts model with 816 billion parameters, a 1-million-token context, and text, image, video and audio input. Meta calls it "the most capable US open-weight model to date". It is also one of the largest models anyone has tried to run at home. This guide covers what the model is, the memory each version … [Read more...] about Meta Muse Spark Open Locally: 816B Weights, the Memory It Takes and the Licence

NVIDIA RTX Spark Laptops for Local AI: 128GB, 300GB/s and What Fits

November 1, 2026 by Rupesh Kumar

NVIDIA RTX Spark laptop for local AI

NVIDIA's RTX Spark laptops went on sale on 16 October 2026: Windows laptops built around the same chip as the DGX Spark, with up to 128GB of memory shared between the processor and the graphics. For local AI that is the headline. A laptop that can hold a 120-billion-parameter model has, until now, meant a MacBook Pro or an AMD Strix Halo machine. This guide covers what the … [Read more...] about NVIDIA RTX Spark Laptops for Local AI: 128GB, 300GB/s and What Fits

Best Local Image Generation Models in 2026: VRAM and Licences Compared

October 24, 2026 by Rupesh Kumar

Estimated VRAM at 8-bit for FLUX.2 klein 4B, Z-Image, Krea 2 and FLUX.2 dev

There are more open image generation models worth running locally in 2026 than ever, and they differ far more in memory and licence than in the basics. Some are free for any use, some only below a revenue threshold, and some are research-only. Some fit an 8GB graphics card; one needs more than 100GB at full precision. This guide compares 15 models side by side on those two … [Read more...] about Best Local Image Generation Models in 2026: VRAM and Licences Compared

oMLX: A Local LLM Server for Apple Silicon Macs

October 24, 2026 by Rupesh Kumar

oMLX keeps a hot cache in RAM and a cold cache on SSD, serving on port 8000

oMLX is an open-source server for running language models on Apple Silicon Macs, built on Apple's MLX framework and managed from a menu bar app. It appeared in February 2026 and has gathered about 22,900 stars on GitHub, which makes it one of the most-watched local AI projects on the Mac this year. Its pitch is narrower than Ollama's or LM Studio's: it is built for long, … [Read more...] about oMLX: A Local LLM Server for Apple Silicon Macs

Gemma 4 12B vs Qwen3.5 9B: Which Small Local Model to Run

October 31, 2026 by Rupesh Kumar

Estimated memory of Gemma 4 12B and Qwen3.5 9B at 8K and 256K context

If you have a graphics card with 8 to 16GB of memory and want one general-purpose local model, two releases from 2026 are the obvious candidates: Google's Gemma 4 12B and Alibaba's Qwen3.5 9B. Both are Apache 2.0, both read images as well as text, both have a 256K-token context window and a thinking mode, and both download in 6.6 to 8GB through Ollama. They are built … [Read more...] about Gemma 4 12B vs Qwen3.5 9B: Which Small Local Model to Run

n8n vs Make vs Zapier: What Each Costs at Your Task Volume

October 21, 2026 by Rupesh Kumar

Monthly cost of the same automation workload on n8n, Make and Zapier

n8n, Make and Zapier all connect your apps and run automated workflows, and all three have a free tier and paid plans from about $10 to $30 a month. The plans are not comparable at face value, though, because each one counts usage in a different unit. The same workflow can use 1 unit on n8n, 6 on Make and 5 on Zapier. This guide explains what each one bills for, then prices … [Read more...] about n8n vs Make vs Zapier: What Each Costs at Your Task Volume

Radeon RX 7900 XTX for Local AI in 2026: 24GB, ROCm and What Fits

October 24, 2026 by Rupesh Kumar

RX 7900 XTX against RTX 4090: similar writing speed, much slower prompt processing

The Radeon RX 7900 XTX is AMD's 24GB gaming flagship from December 2022, and it is still the Radeon most often considered for running AI at home. 24GB is the capacity where most open models become usable at full quality, and it is the same amount of memory as an RTX 4090 or RTX 3090. This guide covers what fits in that 24GB, how fast it runs compared with NVIDIA's 24GB cards, … [Read more...] about Radeon RX 7900 XTX for Local AI in 2026: 24GB, ROCm and What Fits

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  • Stability Matrix: One Installer for ComfyUI, Forge and InvokeAI
  • Hunyuan3D 2.1 in ComfyUI: Local 3D Generation, VRAM and the Licence Catch
  • Cline With a Local Model: Ollama and LM Studio Setup, Context and Permissions
  • NVIDIA Nemotron 3.5 Locally: Which Model Fits Your GPU
  • OpenClaw vs Hermes Agent: Which Personal AI Agent for a Local Model
  • Hermes Agent With Ollama: Running Nous Research’s Agent on Local Models

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