Hermes-Crew Hybrid: A Hybrid Architecture for Secure Multi-Agent AI Workflows
Hermes-Crew Hybrid: A Hybrid Architecture for Secure Multi-Agent AI Workflows I built a hybrid system that combines a central orchestrator (Hermes) wi…
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Open Notebook Review: Self-Hosted NotebookLM Alternative
Originally published on andrew.ooo — visit the original for any updates, code snippets that aged out, or follow-up posts. TL;DR Open Notebook (by Luis…
Doubling Qwen3.6-27B on One RTX 3090: ollama llama.cpp + MTP, Lever by Lever (35.7 80.2 tok/s)
A reader on my last post said Ollama was leaving a lot on the table — that a tuned backend with multi-token prediction (MTP) could roughly double my 3…
Fitting WhisperX large-v3 + a 24B LLM on one 3090: a reproducible context-capping recipe
This is the technical, reproducible version of a fix I shipped on my own homelab. If you want the narrative version, that's on Medium. This one is the…
Do You Have a Homelab? Secure Your Local LLM Artifacts
We used to build homelabs around Linux servers, Docker containers, and NAS drives. It was about uptime, RAID levels, and monitoring CPU temps. Now, th…
Local-first: a Model on Your Own Machine, Zero Cloud
This is the concrete, runnable walkthrough for Post 1 of the Portway series . The goal: stand up a single model behind an OpenAI-compatible endpoint o…
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 data …
Tesla P40 in a Homelab: 24GB of Inference on a Budget
The Tesla P40 is a seductive piece of hardware: 24GB of VRAM for a fraction of the cost of a modern RTX card. But after three weeks of fighting with i…
Building a Private RAG System: Lessons from a Local-First AI Journal
Most AI apps quietly send your data to the cloud. DiaryGPT does the opposite — and this is the full technical story. The Problem With AI + Private Dat…
Using Ollama with the Laravel AI SDK: Run Local LLMs for Free
Originally published at hafiz.dev API costs add up fast during AI development. You prompt an agent 50 times debugging a tool, that's 50 API calls. You…
I shipped local LLM features two months ago. Production never ran them once.
This is a submission for the Gemma 4 Challenge: Build with Gemma 4 Two months ago I shipped local-LLM features in TextStack — an open-source reader fo…
No More Hallucinated Citations: A Domain-Specific RAG System with Ollama, ChromaDB and AI Agents
TL;DR: I built a full-stack knowledge pipeline around a corpus of 2,514 academic PDFs focused on urban art. The system combines ChromaDB vector search…
Local LLMs in 2026: What Actually Works on Consumer Hardware
Local LLMs in 2026 work on three hardware lanes: 32-core CPU with 64GB+ RAM hits 10-25 tokens per second on Qwen 3 14B, an RTX 4090 hits 30-80 tokens …
pgvector + Ollama Setup
RAG Without the Chatbot: pgvector + Ollama for Operational Data Most RAG tutorials start with "upload a PDF and ask questions about it." That's fine f…
[Day 3] I Had a Local LLM Analyze a Year of My Credit Card Statements
[Day 3] I Had a Local LLM Analyze a Year of My Credit Card Statements Intro Day 3: I'm going to hand a year of credit card statements over to a local …
Build a RAG agent with LangChain and Ollama
I started where a lot of us do: a LangChain RAG walkthrough. You chunk some text, embed it, retrieve top‑k chunks, and wire an LLM to answer questions…
Гефестыч: наш опыт автоматизации Code Review через LLM. «Грабли», решения, код
Привет, Хабр! Меня зовут Данил Чечков, я Team Lead команды High End Meta Backend в «Леста Игры». Мы занимаемся всей web-составляющей «Мира кораблей». …