#python #aggregator #feishu_bot #llm #mcp #news #openclaw #python #webhook
Horizon is an open-source tool that uses AI to create personalized daily news briefings in English and Chinese. It collects stories from sources such as RSS feeds, Reddit, Hacker News, and GitHub, then filters and removes duplicates based on rules you choose. It can add summaries, background, and community discussion, and deliver briefings by email, WeChat, or other channels. This helps readers keep up with their interests without checking many sources themselves.
https://github.com/Thysrael/Horizon
Horizon is an open-source tool that uses AI to create personalized daily news briefings in English and Chinese. It collects stories from sources such as RSS feeds, Reddit, Hacker News, and GitHub, then filters and removes duplicates based on rules you choose. It can add summaries, background, and community discussion, and deliver briefings by email, WeChat, or other channels. This helps readers keep up with their interests without checking many sources themselves.
https://github.com/Thysrael/Horizon
GitHub
GitHub - Thysrael/Horizon: 📡 Your own AI-powered news radar. Generates daily briefings in English & Chinese. | 用 AI 构建你专属的新闻雷达
📡 Your own AI-powered news radar. Generates daily briefings in English & Chinese. | 用 AI 构建你专属的新闻雷达 - Thysrael/Horizon
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#python
NVIDIA Auto Ontology is an open library that helps AI agents understand and query business data. It builds a shared map of business terms, database columns, and relationships from information about connected databases. People can review and certify these definitions. The software turns plain-English questions into SQL queries and returns answers with the SQL and steps used. It can also identify questions that the available data cannot answer. This helps teams use consistent definitions and check the source of their results.
https://github.com/NVIDIA/auto-ontology
NVIDIA Auto Ontology is an open library that helps AI agents understand and query business data. It builds a shared map of business terms, database columns, and relationships from information about connected databases. People can review and certify these definitions. The software turns plain-English questions into SQL queries and returns answers with the SQL and steps used. It can also identify questions that the available data cannot answer. This helps teams use consistent definitions and check the source of their results.
https://github.com/NVIDIA/auto-ontology
GitHub
GitHub - NVIDIA/auto-ontology: Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data.…
Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for L...
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#c_lang #avx2 #c99 #cpu_inference #deep_learning #from_scratch #inference_engine #kimi_k3 #linear_attention #llm #llm_inference #machine_learning #memory_efficient #mixture_of_experts #moe #mxfp4 #quantization #simd #systems_programming #transformer #zero_dependencies
kimi-k3-in-c runs the Kimi K3 language model on a CPU without a GPU or machine learning framework. It supports text generation and multi-turn text chat on Linux, macOS, and Windows. By loading model data from disk as needed, it can run the full model with limited memory, making it useful on machines that cannot hold the model in RAM. It requires roughly 1.7 TB of free storage, and generation can be slow, especially with less memory or slower disks.
https://github.com/FareedKhan-dev/kimi-k3-in-c
kimi-k3-in-c runs the Kimi K3 language model on a CPU without a GPU or machine learning framework. It supports text generation and multi-turn text chat on Linux, macOS, and Windows. By loading model data from disk as needed, it can run the full model with limited memory, making it useful on machines that cannot hold the model in RAM. It requires roughly 1.7 TB of free storage, and generation can be slow, especially with less memory or slower disks.
https://github.com/FareedKhan-dev/kimi-k3-in-c
GitHub
GitHub - FareedKhan-dev/kimi-k3-in-c: A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable…
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU. - FareedKhan-dev/kimi-k3-in-c
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#python #3d_models #agent_skills #ai_agents #ai_art #blender #claude_code #claude_skills #codex #game_assets #game_development #generative_ai #image_generation #maya #mcp #model_context_protocol #skills_sh #unity #unreal_engine #video_generation #zbrush
Scenario Agent Skills is a collection of guides that teaches AI coding agents to create and edit images, video, audio, game assets, and 3D content using Scenario. It also helps agents review results, maintain consistent styles, and train custom models. Separate expert tools guide agents in creative software and game engines such as Blender, Maya, Unity, and Unreal Engine. This is useful for people making games, entertainment, and other creative projects who want AI agents to help with content production.
https://github.com/scenario-labs/skills
Scenario Agent Skills is a collection of guides that teaches AI coding agents to create and edit images, video, audio, game assets, and 3D content using Scenario. It also helps agents review results, maintain consistent styles, and train custom models. Separate expert tools guide agents in creative software and game engines such as Blender, Maya, Unity, and Unreal Engine. This is useful for people making games, entertainment, and other creative projects who want AI agents to help with content production.
https://github.com/scenario-labs/skills
GitHub
GitHub - scenario-labs/skills: Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right…
Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through the Scenario MCP, plu...
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#csharp
Disc Image Studio turns pictures into data that can create visible designs on CDs, DVDs, and single-layer Blu-ray discs when burned. It lets users arrange images in layers, adjust their appearance, preview the result, and include files on the disc. Users can export disc images for burning with other software or use experimental direct burning on Windows. Calibration tools help improve how designs appear on the disc. A Windows desktop app and experimental command-line tools for Linux and macOS are available.
https://github.com/JiaFeiMiao-K-Cat/DiscImageStudio
Disc Image Studio turns pictures into data that can create visible designs on CDs, DVDs, and single-layer Blu-ray discs when burned. It lets users arrange images in layers, adjust their appearance, preview the result, and include files on the disc. Users can export disc images for burning with other software or use experimental direct burning on Windows. Calibration tools help improve how designs appear on the disc. A Windows desktop app and experimental command-line tools for Linux and macOS are available.
https://github.com/JiaFeiMiao-K-Cat/DiscImageStudio
GitHub
GitHub - JiaFeiMiao-K-Cat/DiscImageStudio
Contribute to JiaFeiMiao-K-Cat/DiscImageStudio development by creating an account on GitHub.
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#c_lang #c #compression #lz4
LZ4 is a fast, lossless compression tool that reduces the size of data without losing information. It can compress and restore data quickly, making it useful when speed matters. Users can choose faster compression or smaller output, and use dictionaries to improve compression of small files. LZ4 is available as a library and a command-line utility.
https://github.com/lz4/lz4
LZ4 is a fast, lossless compression tool that reduces the size of data without losing information. It can compress and restore data quickly, making it useful when speed matters. Users can choose faster compression or smaller output, and use dictionaries to improve compression of small files. LZ4 is available as a library and a command-line utility.
https://github.com/lz4/lz4
GitHub
GitHub - lz4/lz4: Extremely Fast Compression algorithm
Extremely Fast Compression algorithm. Contribute to lz4/lz4 development by creating an account on GitHub.
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#python #ai #ai_assistant #ai_tools #automation #gemini #goofish #open_source #openai #playwright #tool #xian_yu #xianyu #xianyu_bot
This software monitors Xianyu product listings using Playwright and AI. Users can run multiple searches with filters for keywords, price, location, posting time, and free shipping. AI can analyze product details and images, and the system can send notifications when it finds recommended items. A web interface lets users manage tasks and accounts, review results and logs, and schedule searches. It helps users find relevant listings without checking the marketplace manually.
https://github.com/Usagi-org/ai-goofish-monitor
This software monitors Xianyu product listings using Playwright and AI. Users can run multiple searches with filters for keywords, price, location, posting time, and free shipping. AI can analyze product details and images, and the system can send notifications when it finds recommended items. A web interface lets users manage tasks and accounts, review results and logs, and schedule searches. It helps users find relevant listings without checking the marketplace manually.
https://github.com/Usagi-org/ai-goofish-monitor
GitHub
GitHub - Usagi-org/ai-goofish-monitor: 基于 Playwright 和AI实现的闲鱼多任务实时/定时监控与智能分析系统,配备了功能完善的后台管理UI。帮助用户从闲鱼海量商品中,找到心仪产品。
基于 Playwright 和AI实现的闲鱼多任务实时/定时监控与智能分析系统,配备了功能完善的后台管理UI。帮助用户从闲鱼海量商品中,找到心仪产品。 - Usagi-org/ai-goofish-monitor
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#rust
agent-browser is a command-line tool that lets AI agents control a web browser one step at a time. It opens pages, presents their contents as compact text, and gives elements references that agents can use to click, fill forms, and perform other actions. The browser stays open between commands, so agents can check results and continue working. It also supports screenshots, downloads, multiple sessions, and browser debugging, making it useful for automating and testing web tasks.
https://github.com/vercel-labs/agent-browser
agent-browser is a command-line tool that lets AI agents control a web browser one step at a time. It opens pages, presents their contents as compact text, and gives elements references that agents can use to click, fill forms, and perform other actions. The browser stays open between commands, so agents can check results and continue working. It also supports screenshots, downloads, multiple sessions, and browser debugging, making it useful for automating and testing web tasks.
https://github.com/vercel-labs/agent-browser
GitHub
GitHub - vercel-labs/agent-browser: Browser automation CLI for AI agents
Browser automation CLI for AI agents. Contribute to vercel-labs/agent-browser development by creating an account on GitHub.
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#python #coap_protocol #coap_server #custom_component #dtls #hacs #hacs_integration #home_assistant #home_automation #samsung #smartthings
LocalThings connects Samsung appliances to Home Assistant over a home network without a cloud account. It supports washers, dryers, refrigerators, air conditioners, ovens and other appliances that work with SmartThings. Depending on the appliance, it provides controls and information such as operating modes, temperatures, time remaining and energy use. After setup, it works without internet access and does not send data to Samsung, though appliances may still have their own connection to Samsung.
https://github.com/mbillow/localthings
LocalThings connects Samsung appliances to Home Assistant over a home network without a cloud account. It supports washers, dryers, refrigerators, air conditioners, ovens and other appliances that work with SmartThings. Depending on the appliance, it provides controls and information such as operating modes, temperatures, time remaining and energy use. After setup, it works without internet access and does not send data to Samsung, though appliances may still have their own connection to Samsung.
https://github.com/mbillow/localthings
GitHub
GitHub - mbillow/localthings: Control your Samsung appliances from Home Assistant over your home network, with no cloud account.
Control your Samsung appliances from Home Assistant over your home network, with no cloud account. - mbillow/localthings
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#go #bare_metal #cluster_api #gpu #kubernetes #nvidia
NVIDIA Kubernetes Engine (NVKE) helps platform teams run a managed Kubernetes service on their own NVIDIA GPU infrastructure. It creates separate Kubernetes clusters for customers and helps manage their node pools, upgrades, and node replacements. Customers can use their clusters through standard Kubernetes tools. NVKE makes it easier to provide and operate multiple isolated clusters from one management system. It is currently a preview and is not recommended for production workloads.
https://github.com/dsx-ai-factory/nvke
NVIDIA Kubernetes Engine (NVKE) helps platform teams run a managed Kubernetes service on their own NVIDIA GPU infrastructure. It creates separate Kubernetes clusters for customers and helps manage their node pools, upgrades, and node replacements. Customers can use their clusters through standard Kubernetes tools. NVKE makes it easier to provide and operate multiple isolated clusters from one management system. It is currently a preview and is not recommended for production workloads.
https://github.com/dsx-ai-factory/nvke
GitHub
GitHub - dsx-ai-factory/nvke: NVIDIA Kubernetes Engine (NVKE). A management plane for GPU Kubernetes on bare metal.
NVIDIA Kubernetes Engine (NVKE). A management plane for GPU Kubernetes on bare metal. - dsx-ai-factory/nvke
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#typescript #dsh_plugin
billion-context helps AI coding agents manage long conversations by compressing older messages into layered summaries before sending them to a model. The model can search summaries or restore original details when needed. It works with many coding clients and supports Anthropic and OpenAI-style APIs. This can reduce token use and help sessions continue without exceeding the model’s context limit. It also provides a web dashboard for viewing sessions, usage, logs, and settings.
https://github.com/ranxianglei/billion-context
billion-context helps AI coding agents manage long conversations by compressing older messages into layered summaries before sending them to a model. The model can search summaries or restore original details when needed. It works with many coding clients and supports Anthropic and OpenAI-style APIs. This can reduce token use and help sessions continue without exceeding the model’s context limit. It also provides a web dashboard for viewing sessions, usage, logs, and settings.
https://github.com/ranxianglei/billion-context
GitHub
GitHub - ranxianglei/billion-context: A context-compression plugin for month-long single sessions (billions of tokens) ,small context…
A context-compression plugin for month-long single sessions (billions of tokens) ,small context windows (a 100K context is enough) and token savings (5x fewer tokens) .上下文压缩插件,月级长会话会话, 兼顾小窗口(100k上下...
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