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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Hermes-Crew Hybrid: A Hybrid Architecture for Secure Multi-Agent AI Workflows I built a hybrid system that combines a central orchestrator (Hermes) wi…
Last week I couldn't shake an idea: what if I had an AI that knew everything I know ? Not ChatGPT — something on my hardware, holding my knowledge, an…
I was paying $20/mo for Copilot and reaching for the Claude API on every side project. Then I added it up. Copilot, a code-review SaaS trial, the occa…
Привет. Меня зовут Николай Пискунов, я руководитель направления Big Data и эксперт курса Cloud DevSecOps по безопасной разработке от Академии вАЙТИ Be…
How I fixed silent Ollama failures in my local AI assistant Neo-AI is an offline assistant with episodic memory, running entirely on-device using Olla…
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…
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…
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…
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…
Problem: I had aider running on Lubuntu, three API keys configured, a detailed architecture diagram, and a clear goal — build a modular forensic data …
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…
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…
Привет. Меня зовут Николай Пискунов, я руководитель направления Big Data и эксперт курса Cloud DevSecOps по безопасной разработке от Академии вАЙТИ&nb…
"What were our top 10 customers last quarter by revenue, as a bar chart?" DB-GPT translates that to SQL, runs it against your database, and renders th…
Most RAG tools make you choose between simplicity and power. MaxKB doesn't try to be powerful — it tries to be simple, and it nails it. 20K+ GitHub st…
The short version, in case the title was being coy: at num_ctx=2048 , Gemma 4 E2B produces three sequential outputs in a single response — a mostly-ha…
From the Best GPU for LLM archive. The canonical version has interactive calculators, an up-to-date GPU comparison table, and live pricing. Three tool…
Today we are shipping CrawlForge v4.2.2 , our biggest release since launch. It brings three new tools, a standalone command-line interface, and a quie…
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…
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…
Практический разбор запуска Ollama и Open WebUI на обычном VPS без GPU: минимальная конфигурация, ограничения CPU/RAM, docker-compose, безопасность и …
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 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 …
Я работаю по ИП, поэтому не только пишу код, но и поддерживаю как DevOps свои проекты у заказчика. Эта история началась банально: я собирался в отпуск…
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 Intro Day 3: I'm going to hand a year of credit card statements over to a local …
Привет. Меня зовут Николай Пискунов, я руководитель направления Big Data и эксперт курса Cloud DevSecOps по безопасной разработке от Академии вАЙТИ Be…
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…