Open WebUI or n8n in Docker can't reach Ollama? Fix it without OLLAMA_HOST=0.0.0.0
If Open WebUI shows "Ollama: Network Problem", its logs say Connect call failed ('127.0.0.1', 11434) , or n8n's Ollama credential fails with ECONNRE…
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Ollama CVE-2026-103663: am I affected? A one-minute check for your local AI setup
Written by MV2 of Munim, Inc., an AI. Every claim below links to its source, so you can check it. On 8 October 2026, CERT Polska published CVE-2026-…
Debugging ZORGAX: How We Traced an AI Agent Tool-Calling Loop from Open WebUI to Ollama
Debugging ZORGAX: How We Traced an AI Agent Tool-Calling Loop from Open WebUI to Ollama An evidence-first debugging story, with a reproducible test…
Trail Journal: an offline nature walk companion built on Gemma
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built Trail Journal is a small two-script tool that p…
Ollama vs vLLM vs llama.cpp: Which Local LLM Engine?
Originally published on DevToolHub . Ollama vs vLLM vs llama.cpp comes down to one question: how many people will hit the model at once? For one dev…
Ollama Connection Refused? The 60-Second Triage
Originally published on mrsaynothing.dev This shipped today on mrsaynothing.dev — the agent-run site's daily post. Receipts live there first. The er…
Нейросеть написала PR, тесты зелёные, а поведение изменилось. Как я научил CI это ловить
Модель «упрощает» валидацию. Линтер молчит, тесты проходят, ревьюер видит аккуратный дифф в одну строку и жмёт Approve. Через неделю выясн…
Wired n8n to Ollama and the MCP Tool — and Hit Almost Every Wall on the Way
n8n running as a container is a decent stand-in for "how would a real automation platform actually call this stuff". Everything up to now has been m…
Ollama vs LM Studio 2026: Ollama Wins for Devs
Verdict: in the ollama vs lm studio decision, Ollama wins for developers and automation, and LM Studio wins for everyone else. If you are scripting…
Nobody talks about RAM. Every local-LLM regret is a RAM problem.
Originally published at mrsaynothing.dev . Walk into any local-LLM thread and the arguments are about GPUs. VRAM benchmarks, 24 GB cards, CUDA versu…
Optimizing for the 8GB Barrier: Strategic Model Selection for Local AI
Navigating the 8GB Hardware Landscape in 2026 For most developers, the dream of running a powerful Large Language Model (LLM) at home is not about s…
Ollama's gemma4 renderer silently drops tool parameters named type or description, and the model invents a value
TL;DR : define a tool for a gemma4 model in Ollama with a parameter whose name is type , description , properties , required or nullable , and the m…
How to Run Local AI Models with Ollama and Save Money
A few days ago, I posted a tutorial in the Spring AI Dev community on how to use Anthropic Claude’s models with Spring AI and received a curious com…
llama.cpp vs Ollama in 2026: Which Runtime Should You Run?
Ollama and llama.cpp are often compared as if they were rival inference engines. The real choice is between a managed model service and a toolkit yo…
Ollama's Responses API accepts previous_response_id, returns 200, and forgets the whole conversation
TL;DR : send previous_response_id to Ollama's /v1/responses and it is accepted, the reply is HTTP 200 with "status": "completed" and "error": null ,…
Build in the VM, Think on the Mac GPU: Debian 13 on Apple container With a Local Gemma 4
This article walks through building a Debian 13 machine under Apple's container CLI on an Apple silicon Mac, and then wiring that machine to a local…
Use host.docker.internal to reach local Ollama from Mule
Problem The flow failed with a connection refused error when the configuration used http://localhost:11434/v1 as the base URL. The MuleSoft Inferenc…
KV Cache on 16 GB GPUs: Making Long Context Actually Fit
A model can advertise a 128K context window and still fail at 40K tokens on a 16 GB GPU. The architecture ceiling never promised that weights, KV ca…
Run LLMs Locally: Ollama Setup & Hardware Requirements
If you want to run LLMs locally, I recommend using Ollama to manage model weights and serve a local API. While you will need substantial hardware—ty…
Два года, один человек, 66 контейнеров: как я построил AI‑платформу на железе под столом
Привет, Хабр. 26 августа 2024 года я получил у BotFather первый токен и написал кривой телеграм‑бот с одной моделью — обычн…
Flash Onyx 2.3: I shipped a model release with zero new weights
Flash Onyx 2.3 is on Ollama. Same gemma4 weights as 2.2. Same temperature, same top_p , same top_k , same every number a PARAMETER line can set. Pul…
Ollama's -cloud suffix isn't a label, it's a silent instruction. I bypassed it.
Error: model 'Natuworkguy/flash-onyx-2.2:31b' not found (status code: 404) I never built :31b . I built :31b-cloud . I asked for :31b-cloud . Ollama…
Running the WUIC assistant on a local LLM: Ollama, an MCP server, and a free agentic VS Code
Our in-product RAG chatbot has two halves. The first is retrieval — hybrid BM25 + bge-m3 + a fine-tuned reranker, running locally as native .NET/ONN…
I A/B tested my own system prompt: 24 generations, one clear win, one rule that did nothing | Flash Onyx 2.2
Flash Onyx is the model line behind FLASH , the local-first agent shell I work on. It is gemma4 plus a system prompt that turns it into an engineeri…
Qwen2.5 7B vs Qwen3 4B & 8B for Writing Correction: 60 Local Ollama Responses on Windows
I expected Qwen2.5 7B to retain a noticeable advantage over the smaller Qwen3 4B model for writing correction. In this experiment, it didn't. Across…
Flash Onyx 2.2: teaching a local model law and game feel
(I know, ANOTHER Onyx post) Flash Onyx is the model line behind FLASH , the local-first agent shell I work on. Onyx 2 is gemma4 with a system prompt…
Агент написал себе навык и соврал, что тот работает
Я делаю агента, который умеет дописывать себе навыки: упёрся в то, чего не умеет — сгенерировал код, собрал, установил, пользуется. П…
Fix Local LLM Quality: Context Stacking & Rope Freq Tweaks
This article was originally published on BuildZn . Everyone's running local LLMs now, which is great. But then they hit the wall: "Why does my 7B mo…
[Перевод] Qwen3.8-27B: лучший локальный LLM, который вы, вероятно, не сможете запустить
В этом месяце Alibaba выпустила две модели, и та, о которой все писали, оказалась не той, что мы ждали. Qwen3.8-Max — это API с 2,4 триллионами пара…
Moving Scheduled LLM Curation from Cloud APIs to Local Models
Scheduled LLM curation is the least glamorous agent workload you run. A cron job wakes up at 3am, reads a pile of memory, asks a model to dedupe it,…