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A complete guide to building a local private AI assistant with Ollama and Qwen-Agent. Covers RAG knowledge integration, voice interaction, and permission isolation for a secure local AI Agent architecture.

Daedalus is an open-source local AI engineering runtime built on Ollama, covering architecture, debugging, and security. Zero token costs, full privacy, integrates with Claude Code and OpenCode.

A hands-on guide to building a local AI agent and private knowledge base using Cherry Studio, MCP, and Ollama — with web scraping, report generation, and terminal control.

A complete guide to building a local AI coding agent on a 32GB Mac: Ollama for local inference, OpenCode as the agent framework, and MCP memory servers for cross-session context. Code stays on-device, no subscription fees.

Local LLM tool Ollama closes a $65M Series B, bringing total funding to $88M. With 9M developers and 85% of Fortune 500 having deployed internally, this deep dive explores why enterprises embrace local LLMs: compliance, Agent cost savings, and open-source ecosystem.

A step-by-step guide to combining Codex with Ollama to deploy open-source AI large models locally. Private data, no subscription, offline operation, no VPN needed. Includes hardware selection and setup.

Ollama raises $65M led by Benchmark, reaching nearly 9M users and 176K GitHub Stars. A deep dive into Ollama's advantages, local LLM deployment strategy, and post-funding roadmap.

Build a fully private local AI system with Ollama + Hermes: zero cost, no rate limits, data stays local. Learn deployment steps, model selection tips, and private/cloud hybrid workflows.

Complete Ollama guide: install and run open-source LLMs like DeepSeek, Llama, and Qwen locally on Windows/Mac/Linux. Free, private, and beginner-friendly.

Learn how to integrate Spring AI with Ollama to run open-source LLMs like Llama and Gemma locally for free. Covers setup, configuration, and code — switch from OpenAI by just changing dependencies.
TutorialsLearn how to run Codex locally with Ollama and Gemma 4 for zero-cost AI programming. Covers installation, model selection, and real demos as an alternative to $20-200/month paid plans.
TutorialsStep-by-step guide to building a local RAG knowledge base using RAGFlow, Ollama, and LM Studio with Docker, covering Embedding model deployment and network troubleshooting for private AI Q&A.
TutorialsComplete guide to building a local AI knowledge base with Qwen3.5, RAGFlow, and Ollama, covering Docker deployment, Embedding model configuration, knowledge base creation, and RAG system setup.
TutorialsComplete guide to deploying open-source LLMs locally with Ollama. Covers installation, model selection, VRAM requirements, and performance comparison of Llama 3 and Qwen models. Free, offline-capable AI.
TutorialsTutorial on using CC Switch to disguise local Ollama models as Claude API, driving Claude Code desktop for free AI programming with Qwen, Gemma, and other open-source models.
TutorialsStep-by-step guide to deploying Codex with Ollama locally for a free AI coding assistant, covering hardware checks, Ollama setup, model downloads, and full integration configuration.
TutorialsTutorial: Deploy Qwen3 Coder locally via Ollama with OpenCode for zero-cost AI coding. Covers setup, code generation, auto-debugging, and hardware recommendations.

A Django developer shares their Ollama Cloud subscription experience, comparing GLM 5.2 and DeepSeek V4 Pro for PHP programming, analyzing cloud AI coding service value for indie developers.

Unsloth releases UD dynamic quantized versions of DeepSeek V4 Flash 0731, offering six variants from 162GB lossless to 83GB extreme compression using MXFP4+BF16 mixed precision.

A deep dive into how cybersecurity Purple Teams and SOC analysts can select locally deployed LLMs, covering hardware constraints, censored vs. uncensored models, specific recommendations, and RAG integration.