#ollama

KI mit Privatsphäre

Während wir für die Verschlüsselung unserer Nachrichten kämpfen, vertrauen Hunderte Millionen Menschen ChatGPT, Gemini oder Copilot auf US-Servern ihre intimsten Gedanken an. Das ist der blinde Fleck der gesamten Debatte. Reiner Wahnsinn.

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Building an autonomous AI concierge on AgentMail in one afternoon

What I learned wiring a WebSocket-driven email agent on top of a private DGX Spark, plus self-custody Solana + EVM tip jars so the loop closes without a payment processor.

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An AI agent that pays its own way — introducing llmops-agent

The reference agent for the LLMOps.Pro substrate: a local-first Python agent that pays for paywalled MCP tools in sats under budget caps it can't exceed. Ollama-first, API-pluggable, pydantic-ai, MIT.

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Your AI Productivity Stack: Ollama Cloud + Goose + Obsidian

A step-by-step guide for setting up a powerful, private AI workflow — no coding experience needed.

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How I Built Passive Income Streams From Terminal Only

A complete guide to building passive income using only your terminal — local AI inference, Nostr protocol, Lightning payments, and zero platform dependencies.

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How to Monetize Local AI Inference from Your Terminal

A practical guide to earning passive income by running AI models locally and selling inference via Nostr DVM and Lightning Network.

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Ollama AI Guides

This is a single consolidated guide for running local models with Ollama and connecting tools and agents (especially Goose) to your local Ollama server. It merges the core Desktop, CLI, and Goose workflows into one practical "happy path + operations" reference.

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Zwei Wege, ein Interface: Wie ich lokale und Cloud-KI unter einem Dach vereint habe

Wie ich lokale LLMs über LM Chat und Cloud-KI über einen selbstgebauten Vision-Proxy in Open WebUI vereint habe. Zwei Wege, ein Interface, volle Kontrolle.

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Créer un LLM Spécialiste de Votre Code pour Roo Code

Ce guide vous permet de construire un assistant IA sur-mesure, basé sur le modèle **Qwen2.5-Coder-14B-Instruct**, finement ajusté sur votre propre codebase puis intégré à Roo Code via Ollama et Qdrant.

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2025-11-15 Local ChatGPT vs CoCo AskAI

这两个都是Obsidian的插件。我先安装的是Local ChatGPT，它相当于可以直接优化我写的内容，并在原文下方生成一段文字。我觉得这种方式不太方便。后来看到的Coco AskAI这个插件，它效果很好。它会另外新建一个窗口，用于进行大语言模型的对话。这样的好处是，我不需要再改动原文。目前经过测试，如果我写的这段话需要优化，得用Local ChatGPT。而如果我是需要利用文档进行提问，追问，就得用CoCo AskAI。

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