It will:
– Use Ollama to run a local LLM (we’ll use qwen3:32b)
– Handle tool calls for reading/writing files, listing directories, and running shell commands
– Chain multiple tools to solve multi-step tasks
– Be easily extendable with things like web search or formatters
TOOLS
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Local LLM Agent System with Tool Chaining and Extensibility
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Building Local Cursor: Offline AI Coding Agent with Open-Source Models
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In this iteration, we’ll build a local version of Cursor — a terminal-based AI coding agent that runs entirely offline using open-source models. Note: The term “local” is often misused. Here, it means everything — from model inference to file access — runs entirely on your
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Local coding assistants protect privacy without external servers
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Most coding assistants send your code to external servers, even for simple tasks like reading files or running shell commands. That’s a problem if you care about privacy, work in secure environments, or just want full control.
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Open Local Cursor: Offline Terminal AI Coding Agent
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Let's build an open Local Cursor — a terminal-based AI coding agent that runs entirely offline using open-source models.
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Reasoning Support Now Available for Local Models in LangChain Ollama
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Reasoning support for your local models just dropped in langchain-ollama!
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Veo 3 img-to-video test handles unusual animation styles
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Veo 3 img-to-video test, it seems to handle unusual animation styles pretty well/appropriately pic.twitter.com/mABBozFI6P
— fofr (@fofrAI) 9 juillet 2025Veo 3 img-to-video test, it seems to handle unusual animation styles pretty well/appropriately
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Critical Due Diligence Questions for SaaS AI Buyers
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If you are a buyer of a SaaS AI product & you have the leverage to do so, ask: What model(s) are they using (there are only a handful), how often they upgrade, what are their system prompts for various pieces, & how they handle RAG/context. Don't let them launder AI risk for you
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New AIoT Book Release: Hands-On AI for IoT Second Edition
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New #AIoT release from @PacktDataML >> Hands-On #AI for #IoT : Expert #MachineLearning and #DeepLearning techniques for developing smarter IoT systems [2nd Edition] See it at http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Leverage the power of Python libraries such as -
Updated Power BI Book Extends Analytics with Python and R
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Updated (2nd edition) 814-page book from @PacktDataML at http://
amzn.to/49xRKOk "Extending #PowerBI with #Python and R — Advanced analysis using the power of analytical languages" #DataScience #Analytics #BI #Rstats #CDO (comes with link to free PDF eBook) -
Free n8n Templates Lack Quality AI Prompts
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free n8n templates are great, but have you seen some of the prompts inside them? why go through all that effort to build a flow and then power the whole thing with a generic 2-sentence prompt? you're automating mediocrity at scale