n8n Template Collection: Build Automation Apps Efficiently | Open Source Daily No.771
awesome-n8n-templates: A Collection of Automation Templates for n8n
awesome-n8n-templates is an open-source project that collects and organizes numerous n8n automation templates, enabling users to quickly connect and automate workflows across apps like Gmail, Telegram, Google Drive, and Slack. It provides ready-to-use automation scenarios to improve productivity with minimal setup.
Repository: enescingoz/awesome-n8n-templates
Stars: 12.3k License: NOASSERTION
Key Features
- Wide variety of preset automation templates for tasks such as email management, security checks, multilingual tweet translation, and publishing.
- AI integration (OpenAI, ChatGPT) for smart tag classification, automated email drafts, and suspicious email detection.
- Cross-platform execution for simplifying & optimizing complex workflows.
- Centralized template access to save time and avoid reinventing solutions.
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paaatrick/playball
Repository: paaatrick/playball
Stars: 1.0k License: MIT
playball is a terminal-based tool that lets you watch Major League Baseball (MLB) games directly from the command line.
Key Features
- Live game viewing in the terminal — perfect for discreet tracking.
- Hotkey navigation for schedules, standings, and match details.
- Theme customization for optimal terminal aesthetics.
- Deploy via npm (global) or Docker.
- Browse past & upcoming games easily.
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kennethleungty/Llama-2-Open-Source-LLM-CPU-Inference
Repository: kennethleungty/Llama-2-Open-Source-LLM-CPU-Inference
Stars: 967 License: MIT
A project for running Llama 2 and other open-source LLMs locally via CPU for document-based question answering.
Key Features
- Step-by-step guides for quantized LLMs on CPU.
- Supports LangChain, C Transformers, GGML, and others.
- Eliminates dependency on external LLM providers, improving privacy & control.
- Ideal for budget-conscious teams requiring on-premise deployments.
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Cross-Platform AI Workflows
As automation, AI integration, and local LLMs become more common, solutions like awesome-n8n-templates and Llama-2-Open-Source-LLM-CPU-Inference can be expanded with content workflows.
For example, platforms like AiToEarn let creators:
- Generate AI-powered content
- Publish simultaneously across Douyin, Kwai, WeChat, Bilibili, Xiaohongshu (Rednote), Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X (Twitter)
- Utilize built-in analytics, AI model ranking (AI模型排名), and open-source integrations (AiToEarn开源地址)
- Monetize AI creativity efficiently alongside automated workflows
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e-johnstonn/BriefGPT
Repository: https://github.com/e-johnstonn/BriefGPT
Stars: 797 License: MIT
BriefGPT is a local document summarization & query tool powered by OpenAI models.
Key Features
- Full local use to protect document privacy & API keys.
- Simple GUI for non-technical users.
- Processes PDFs and YouTube links.
- Uses K-means clustering for topic/idea extraction.
- Generates summaries via parallel API calls for speed.
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litanlitudan/skyagi
Repository: https://github.com/litanlitudan/skyagi
Stars: 782 License: Apache-2.0
SkyAGI explores how LLMs can simulate trustworthy human-like behavior via generative agents.
Key Features
- Generative agents framework for RPG-style experiences.
- NPCs produce realistic human-like dialogue far beyond traditional AI NPCs.
- Includes characters from The Big Bang Theory & The Avengers.
- Customizable character profiles via JSON configs.
- Highlights new potentials for game design innovation.
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AI Monetization for Developers & Creators
Projects like BriefGPT and SkyAGI can be combined with AI content monetization platforms such as AiToEarn:
- Integrates content generation tools, publishing pipelines, analytics, and model rankings.
- Enables cross-platform publishing to Douyin, Kwai, WeChat, Bilibili, Rednote (Xiaohongshu), Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X (Twitter).
- Open-source code available on GitHub.
- Learn more via the AiToEarn Blog.
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