Ollama Reviews and Details

Social recommendations and mentions

• Building Local-First AI Agents in 2025: Lessons from ScreenPipe, Headroom, and the Privacy-Performance Tradeoff

  Edge deployment tools are maturing: Projects like Ollama, llama.cpp, and MLX are making local inference feel almost like a cloud API. The gap between "runs on my machine" and "runs reliably in production" is narrowing fast. - Source: dev.to / 1 day ago

• AI Security Training for Defense Industrial Base Companies

  Local open-weight models solve the model half. Ollama serves a model and exposes an OpenAI-compatible endpoint, which means the standard red-team tooling works unchanged against a target that never leaves the host:. - Source: dev.to / 9 days ago

• Building a Multi-Agent Hiring Workflow with LangChain4j and LangGraph4j on Spring Boot

  I didn't want a cloud API key for a side project, so I ran Ollama locally on an old CPU-only laptop. This is where the framework knowledge from above collided with the actual, physical limits of local inference — and where I learned the most. - Source: dev.to / 15 days ago

• Self-Hosting a Terminal AI Coding Assistant (Ollama + Tailscale + Qwen Code)

  Ollama running on the inference box, serving your model of choice. - Source: dev.to / 15 days ago

• Clive — a friendly CLI for local LLMs

  The problem was the ergonomics. Ollama makes running local models genuinely easy, but I wanted a smoother terminal workflow — streaming chat that didn't feel clunky, safe file editing, and the ability to run real multi-file agent tasks without leaving my shell. - Source: dev.to / 18 days ago

• How I Ran Gemma 4 26B on M-Series Mac: 2GB RAM, 1.8 tok/s

  If you don't have it, get it. Seriously. It’s the easiest way to get an open source llm mac experience going. Go to ollama.com and download the macOS app. Install it. Simple. - Source: dev.to / 20 days ago

• Building Local AI Agents in Java with Tools4AI and Ollama: An Insurance Claims Use Case

  Tools4AI is a 100% Java agentic AI framework that turns any annotated Java method into an AI-callable action. Ollama runs open models like Llama 3.1 and Phi-4 locally and exposes an OpenAI-compatible API. Point Tools4AI at http://localhost:11434/v1 and you get a fully offline, on-premise AI agent — no data ever leaves your network. In this tutorial we build an insurance claims triage agent that reads a claimant's... - Source: dev.to / 21 days ago

• How to Summarize PDFs Locally with Open-Source LLMs (No API, No Data Leaving Your Machine)

  Here's how to build a local PDF summarizer with Ollama and Llama 3, plus an honest look at where local wins and where it doesn't. - Source: dev.to / about 1 month ago

• Build a Local LLM Chatbot with Ollama and Python

  The first step is getting Ollama on your machine. Visit ollama.com, click Download, and install the version for your operating system [2]. Once installed, verify it’s working by opening your terminal or Command Prompt and running:. - Source: dev.to / about 1 month ago

• I Built a Local AI Code Reviewer That Reads Your Entire Codebase (and PRs!) for Free

  I wanted an AI code reviewer that was 100% private, free, and actually understood the context of my entire project. So, I built one using Python and Ollama. - Source: dev.to / about 1 month ago

• Ask HN: How do you use LLMs for private discussions?

  Hi, you should try https://ollama.com/ which is imo the most convenient way to run local LLMs (assuming your hardware allows). - Source: Hacker News / about 1 month ago

• I Built a $0 Local AI Automation Stack: Agentic Coding + Market Data Over MCP

  Agentic coding runs through Aider, configured to talk to local Ollama models by default and fall back to the free tiers on Groq and OpenRouter when a task wants more horsepower. Same agent, same workflow, whether it's fully offline or tapping a free hosted model. - Source: dev.to / about 1 month ago

• LLM Quantization Levels Compared: Q4_K_M vs Q8_0 vs FP16 [2026]

  To see available tags for any model, check the model page on ollama.com or run ollama show llama3 --modelfile to inspect what you currently have. - Source: dev.to / about 1 month ago

• My commit message said "You've hit your session limit"

  Ollama lets you run open source models locally. After installing it, you have a server running at http://localhost:11434. - Source: dev.to / about 2 months ago

• How I Replaced Gemini with a Self-Hosted LLM for Two Production Apps

  It began as a small experiment on my base Mac mini. I pulled Qwen through Ollama just to see how capable the model would be running directly on a local machine. The results were far better than I expected. Good enough that I stopped thinking of it as a toy and started thinking about production. - Source: dev.to / about 2 months ago

• Announcing General availability of the Azure Cosmos DB vNext emulator

  Try out this sample that embeds and loads data into the emulator. It uses LangChain, a popular open-source framework for building AI applications, and Ollama, a tool for running open-source models locally. - Source: dev.to / about 2 months ago

• Ask HN: How close are we to local LLM models being useful? What's the impact?

  A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / about 2 months ago

• Build a Local RAG Chatbot in 30 Minutes with .NET 8, Ollama, and React

  I uploaded a 40-page PDF of an internal API spec, asked "what's the rate limit for the search endpoint?", and got back: "100 requests per minute per API key, with bursts up to 200. See section 4.2 of the document." With citations. In about three seconds. The whole stack runs on my laptop. It cost me $0 in LLM credits during development because Ollama is free and local, and the embedder I used is also free and... - Source: dev.to / about 2 months ago

• From Stack Trace to Suggested Fix in 4 Seconds: Building a Self-Healing .NET API Gateway.

  This is the architecture post-mortem. I built it on weekends. It runs in Docker. It cost me exactly $0 in LLM credits during development because Groq's free tier is generous and Ollama works as a swap-in. The repo is here — issues and PRs welcome. - Source: dev.to / about 2 months ago

• My homelab stack in 2026: what runs, why, and how it all connects

  I run Ollama for local model inference. The main draws are the obvious ones: no data leaves the machine, no per-token cost, models available offline. Local models cover summarization, document classification, and general Q&A; tasks where a smaller model is good enough and keeping data local matters. - Source: dev.to / about 2 months ago

• Free Local AI Coding Agent: Cut Dev Costs 90%

  Download Ollama: Go to ollama.com and download the client for your OS. Install it. - Source: dev.to / 2 months ago