cd/entity/Ollama· home entities Ollama
grep -l @ollama /news/*.json | wc -l → 448

Ollama

mentions 448 type Organization page 22/23 feed RSS

// recent coverage 448 mentions

08:10
2026-05-21
dev.to
artificial-intelligence

Security Checks with Local LLMs

An experiment using local Large Language Models (LLMs) to perform security checks and code quality reviews, motivated by rising costs and new limits for cloud-based LLM APIs. The author selected the `…

00:00
2026-05-21
flox.dev
ai-tools

Run Frontier Models Anywhere with DeepSeek TUI

DeepSeek TUI, a terminal user interface for DeepSeek's models, has gained nearly 33,000 GitHub stars in two weeks. The tool can run against other providers including local models via Ollama or oMLX, a…

15:16
2026-05-20
dev.to
large-language-models

I Built a Desktop Chat App for Running Local LLMs Offline

Creation of Openbench AI, a desktop chat application designed to run local large language models (LLMs) offline via Ollama, eliminating the need for cloud services or complex setup. The app allows use…

04:51
2026-05-20
dev.to
artificial-intelligence

Your AI Memory Workspace

Memonia, a new AI memory workspace designed to solve the problem of lost project context between AI tool sessions. It features persistent project memory, task tracking, session reports, and automatic …

01:14
2026-05-20
dev.to
large-language-models

Ollama vs llama.cpp vs vLLM: Which Should You Use in 2026?

This article compares three dominant tools for local LLM inference in 2026: Ollama, llama.cpp, and vLLM. Ollama is recommended for personal, non-technical use due to its ease of setup, while llama.cpp…

01:00
2026-05-20
dev.to
large-language-models

Unload All llama.cpp Router Models Without Restarting

While llama.cpp's router mode allows loading and unloading individual models via HTTP API calls to `/models/unload`, there is no built-in "unload all" endpoint. The recommended approach for unloading …

06:50
2026-05-19
dev.to
artificial-intelligence

gemma4-safe-agent: a tool-using research agent on Gemma 4 e2b

Tool-using research agent built for the Gemma 4 DEV Challenge, which runs locally on the Gemma 4 e2b model via Ollama using roughly 200 lines of Node.js code. The agent accepts a question, selects bet…

← prev page 22 / 23 next →
// co-occurs with top 8 entities