#python
Buttercup is an AI-powered system that automatically finds and fixes security bugs in open-source software by running smart tests (fuzzing) and then creating patches to fix vulnerabilities. It works mainly on Linux with at least 8 CPU cores, 16 GB RAM, and 100 GB disk space, using AI models from providers like OpenAI or Anthropic. You can easily set it up on your computer, monitor its progress through a web interface, and control costs by limiting AI usage. This helps you improve software security efficiently without manual code review, saving time and reducing risks from software bugs.
https://github.com/trailofbits/buttercup
Buttercup is an AI-powered system that automatically finds and fixes security bugs in open-source software by running smart tests (fuzzing) and then creating patches to fix vulnerabilities. It works mainly on Linux with at least 8 CPU cores, 16 GB RAM, and 100 GB disk space, using AI models from providers like OpenAI or Anthropic. You can easily set it up on your computer, monitor its progress through a web interface, and control costs by limiting AI usage. This helps you improve software security efficiently without manual code review, saving time and reducing risks from software bugs.
https://github.com/trailofbits/buttercup
GitHub
GitHub - trailofbits/buttercup: Buttercup finds and patches software vulnerabilities
Buttercup finds and patches software vulnerabilities - trailofbits/buttercup
#typescript
The GitHub Actions Checkout action lets you download your repository code into the workflow environment so your automation can access it. It supports fetching specific branches, tags, or commits, and can fetch full history or just the latest commit. You can use tokens or SSH keys for authenticated access, enabling secure git commands during workflows. It also supports sparse checkouts to fetch only parts of the repo, and can handle submodules. This action simplifies automating tasks like testing, building, or deploying code by ensuring your workflow has the right code checked out efficiently and securely.
https://github.com/actions/checkout
The GitHub Actions Checkout action lets you download your repository code into the workflow environment so your automation can access it. It supports fetching specific branches, tags, or commits, and can fetch full history or just the latest commit. You can use tokens or SSH keys for authenticated access, enabling secure git commands during workflows. It also supports sparse checkouts to fetch only parts of the repo, and can handle submodules. This action simplifies automating tasks like testing, building, or deploying code by ensuring your workflow has the right code checked out efficiently and securely.
https://github.com/actions/checkout
GitHub
GitHub - actions/checkout: Action for checking out a repo
Action for checking out a repo. Contribute to actions/checkout development by creating an account on GitHub.
#java #distributed_systems #durable_execution #grpc #java #javascript #microservice_orchestration #orchestration_engine #orchestrator #reactjs #spring_boot #workflow_automation #workflow_engine #workflow_management #workflows
Conductor is an open-source tool that helps you manage and automate complex workflows involving many microservices and systems. It makes your workflows flexible, reliable, and scalable by handling retries, errors, and monitoring automatically. You can define workflows as code in JSON, use various task types, and manage workflows dynamically without tightly coupling services. It offers an easy-to-use web interface and supports multiple databases like Redis and MySQL. This helps you build, run, and monitor workflows efficiently, saving time and reducing errors in managing distributed applications. It also has SDKs for Java, Python, JavaScript, Go, and C# to integrate easily with your projects.
https://github.com/conductor-oss/conductor
Conductor is an open-source tool that helps you manage and automate complex workflows involving many microservices and systems. It makes your workflows flexible, reliable, and scalable by handling retries, errors, and monitoring automatically. You can define workflows as code in JSON, use various task types, and manage workflows dynamically without tightly coupling services. It offers an easy-to-use web interface and supports multiple databases like Redis and MySQL. This helps you build, run, and monitor workflows efficiently, saving time and reducing errors in managing distributed applications. It also has SDKs for Java, Python, JavaScript, Go, and C# to integrate easily with your projects.
https://github.com/conductor-oss/conductor
GitHub
GitHub - conductor-oss/conductor: Conductor is an event driven orchestration platform providing durable and highly resilient execution…
Conductor is an event driven orchestration platform providing durable and highly resilient execution engine for your applications - conductor-oss/conductor
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#shell #linux
Linutil is a powerful Linux tool that simplifies daily tasks like installing apps, optimizing your system, and managing hardware such as monitors and drives. It works on many Linux versions and is built with Rust for speed and reliability. You can install it easily via terminal commands or package managers like AUR or zypper. It supports automation through configuration files, letting you run commands automatically without prompts. This saves you time and effort, especially if you want a quick, efficient setup or system management without complex manual steps. It’s actively improved and well-documented for easy use.
https://github.com/ChrisTitusTech/linutil
Linutil is a powerful Linux tool that simplifies daily tasks like installing apps, optimizing your system, and managing hardware such as monitors and drives. It works on many Linux versions and is built with Rust for speed and reliability. You can install it easily via terminal commands or package managers like AUR or zypper. It supports automation through configuration files, letting you run commands automatically without prompts. This saves you time and effort, especially if you want a quick, efficient setup or system management without complex manual steps. It’s actively improved and well-documented for easy use.
https://github.com/ChrisTitusTech/linutil
GitHub
GitHub - ChrisTitusTech/linutil: Chris Titus Tech's Linux Toolbox - Linutil is a distro-agnostic toolbox designed to simplify everyday…
Chris Titus Tech's Linux Toolbox - Linutil is a distro-agnostic toolbox designed to simplify everyday Linux tasks. - ChrisTitusTech/linutil
#typescript #llm #markup_language #prompt #vscode_extension
POML (Prompt Orchestration Markup Language) is a special markup language that helps you build clear, organized, and flexible prompts for large language models (LLMs). It uses simple HTML-like tags to separate parts like roles, tasks, examples, and data, making prompts easier to read, reuse, and update. You can include text, tables, images, and style prompts without changing their core logic. POML also has tools like a Visual Studio Code extension and SDKs for JavaScript and Python, which help you write, test, and manage prompts efficiently. This means you can create smarter, more reliable AI applications with less effort and better control.
https://github.com/microsoft/poml
POML (Prompt Orchestration Markup Language) is a special markup language that helps you build clear, organized, and flexible prompts for large language models (LLMs). It uses simple HTML-like tags to separate parts like roles, tasks, examples, and data, making prompts easier to read, reuse, and update. You can include text, tables, images, and style prompts without changing their core logic. POML also has tools like a Visual Studio Code extension and SDKs for JavaScript and Python, which help you write, test, and manage prompts efficiently. This means you can create smarter, more reliable AI applications with less effort and better control.
https://github.com/microsoft/poml
GitHub
GitHub - microsoft/poml: Prompt Orchestration Markup Language
Prompt Orchestration Markup Language. Contribute to microsoft/poml development by creating an account on GitHub.
#python #audiobook #audiobooks #content_creation #content_creator #epub_converter #kokoro #kokoro_82m #kokoro_tts #media_generation #narrator #speech_synthesis #subtitles #text_to_audio #text_to_speech #tts #voice_synthesis
Abogen is a user-friendly tool that quickly converts ePub, PDF, or text files into natural-sounding audio with synchronized subtitles, perfect for creating audiobooks or voiceovers for social media and other projects. You can customize speech speed, choose or mix voices, generate subtitles by sentence or word, and select various audio and subtitle formats. It supports batch processing with queue mode and lets you save chapters separately or merged. Installation is straightforward on Windows, Mac, and Linux, with options for GPU acceleration. This saves you time and effort in producing high-quality audio content from text files efficiently.
https://github.com/denizsafak/abogen
Abogen is a user-friendly tool that quickly converts ePub, PDF, or text files into natural-sounding audio with synchronized subtitles, perfect for creating audiobooks or voiceovers for social media and other projects. You can customize speech speed, choose or mix voices, generate subtitles by sentence or word, and select various audio and subtitle formats. It supports batch processing with queue mode and lets you save chapters separately or merged. Installation is straightforward on Windows, Mac, and Linux, with options for GPU acceleration. This saves you time and effort in producing high-quality audio content from text files efficiently.
https://github.com/denizsafak/abogen
GitHub
GitHub - denizsafak/abogen: Generate audiobooks from EPUBs, PDFs and text with synchronized captions.
Generate audiobooks from EPUBs, PDFs and text with synchronized captions. - denizsafak/abogen
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#typescript #embedding #visualization
Embedding Atlas is a powerful tool that helps you easily visualize and explore large sets of data points called embeddings. It automatically groups and labels data, shows dense areas and outliers clearly, and lets you search for similar items in real time. It works fast even with millions of points using modern web technology and can be used in Python, Jupyter notebooks, or web apps. This means you can better understand complex data, find patterns, and make decisions faster without complicated setup or slow performance. It’s open source and privacy-friendly since your data stays on your device.
https://github.com/apple/embedding-atlas
Embedding Atlas is a powerful tool that helps you easily visualize and explore large sets of data points called embeddings. It automatically groups and labels data, shows dense areas and outliers clearly, and lets you search for similar items in real time. It works fast even with millions of points using modern web technology and can be used in Python, Jupyter notebooks, or web apps. This means you can better understand complex data, find patterns, and make decisions faster without complicated setup or slow performance. It’s open source and privacy-friendly since your data stays on your device.
https://github.com/apple/embedding-atlas
GitHub
GitHub - apple/embedding-atlas: Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows…
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata. - apple/embedding-atlas
#python #digital_signage #iot #python #raspberry_pi
Anthias is a free, open-source digital signage software that turns a Raspberry Pi or PC into a device to display images, videos, and web pages in full HD. It offers an easy web interface to upload, schedule, and manage content remotely on each screen. It supports Raspberry Pi models up to the latest Pi 5 and some PCs, making it affordable and flexible for small businesses or personal use. The benefit is that you can create and control digital signs without expensive hardware or software, though it requires some technical skill and managing screens individually.
https://github.com/Screenly/Anthias
Anthias is a free, open-source digital signage software that turns a Raspberry Pi or PC into a device to display images, videos, and web pages in full HD. It offers an easy web interface to upload, schedule, and manage content remotely on each screen. It supports Raspberry Pi models up to the latest Pi 5 and some PCs, making it affordable and flexible for small businesses or personal use. The benefit is that you can create and control digital signs without expensive hardware or software, though it requires some technical skill and managing screens individually.
https://github.com/Screenly/Anthias
GitHub
GitHub - Screenly/Anthias: The world's most popular open source digital signage project.
The world's most popular open source digital signage project. - Screenly/Anthias
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#go #open_telemetry #opentelemetry
The OpenTelemetry Collector Contrib is a collection of extra components that extend the core OpenTelemetry Collector, helping you collect, process, and export telemetry data like traces, metrics, and logs from your applications. It supports many features such as filtering sensitive data, batching, retries, and custom processing, which improve security, reliability, and performance of your observability pipeline. You can build custom distributions using these components to fit your needs. This helps you monitor complex systems more easily, reduce costs, and maintain flexibility by supporting many data formats and backends without changing your application code. It is maintained by a community of experts ensuring quality and support.
https://github.com/open-telemetry/opentelemetry-collector-contrib
The OpenTelemetry Collector Contrib is a collection of extra components that extend the core OpenTelemetry Collector, helping you collect, process, and export telemetry data like traces, metrics, and logs from your applications. It supports many features such as filtering sensitive data, batching, retries, and custom processing, which improve security, reliability, and performance of your observability pipeline. You can build custom distributions using these components to fit your needs. This helps you monitor complex systems more easily, reduce costs, and maintain flexibility by supporting many data formats and backends without changing your application code. It is maintained by a community of experts ensuring quality and support.
https://github.com/open-telemetry/opentelemetry-collector-contrib
GitHub
GitHub - open-telemetry/opentelemetry-collector-contrib: Contrib repository for the OpenTelemetry Collector
Contrib repository for the OpenTelemetry Collector - open-telemetry/opentelemetry-collector-contrib
#kotlin #android #android_app #android_application #android_firewall #anti_censorship #anti_surveillance #censorship_circumvention #censorship_resistance #dns #dns_over_https #dnscrypt #firewall #internet_freedom #open_source #privacy_enhancing_technologies #wireguard
Rethink DNS + Firewall + VPN for Android is an app that helps you control your internet privacy and security easily without needing root access. It combines a VPN using WireGuard, a firewall that blocks internet access for apps based on your preferences (like when apps run in the background or by category), and a DNS-over-HTTPS client that hides your DNS requests from ISPs and censors. You can route different apps through different VPN tunnels, block ads and malware sites, and monitor which apps connect to the internet. This gives you more control over your data, reduces tracking, and helps bypass censorship on your Android device.
https://github.com/celzero/rethink-app
Rethink DNS + Firewall + VPN for Android is an app that helps you control your internet privacy and security easily without needing root access. It combines a VPN using WireGuard, a firewall that blocks internet access for apps based on your preferences (like when apps run in the background or by category), and a DNS-over-HTTPS client that hides your DNS requests from ISPs and censors. You can route different apps through different VPN tunnels, block ads and malware sites, and monitor which apps connect to the internet. This gives you more control over your data, reduces tracking, and helps bypass censorship on your Android device.
https://github.com/celzero/rethink-app
GitHub
GitHub - celzero/rethink-app: DNS over HTTPS / DNS over Tor / DNSCrypt client, WireGuard proxifier, firewall, and connection tracker…
DNS over HTTPS / DNS over Tor / DNSCrypt client, WireGuard proxifier, firewall, and connection tracker for Android. - celzero/rethink-app
#go #external_secrets #hacktoberfest #kubernetes #kubernetes_secrets #secrets_manager
External Secrets Operator (ESO) is a Kubernetes tool that connects external secret managers like AWS Secrets Manager, HashiCorp Vault, and others to Kubernetes, automatically injecting secret values into Kubernetes Secrets. However, official releases are paused because the current maintainer team is too small to support ongoing development and community help. You can still use the latest code from the main branch, but no new official versions or support will be provided until more maintainers join. If your team relies on ESO, contributing helps keep the project healthy and ensures future updates. This pause highlights the importance of community support for open-source tools you depend on. Using ESO benefits you by simplifying secure secret management in Kubernetes across multiple cloud providers.
https://github.com/external-secrets/external-secrets
External Secrets Operator (ESO) is a Kubernetes tool that connects external secret managers like AWS Secrets Manager, HashiCorp Vault, and others to Kubernetes, automatically injecting secret values into Kubernetes Secrets. However, official releases are paused because the current maintainer team is too small to support ongoing development and community help. You can still use the latest code from the main branch, but no new official versions or support will be provided until more maintainers join. If your team relies on ESO, contributing helps keep the project healthy and ensures future updates. This pause highlights the importance of community support for open-source tools you depend on. Using ESO benefits you by simplifying secure secret management in Kubernetes across multiple cloud providers.
https://github.com/external-secrets/external-secrets
GitHub
GitHub - external-secrets/external-secrets: External Secrets Operator reads information from a third-party service like AWS Secrets…
External Secrets Operator reads information from a third-party service like AWS Secrets Manager and automatically injects the values as Kubernetes Secrets. - external-secrets/external-secrets
#python
AI Toolkit by Ostris is a powerful, easy-to-use software suite for training and fine-tuning AI models like Stable Diffusion and FLUX.1 on consumer-grade Nvidia GPUs with at least 24GB VRAM. It supports image and video models, offers both graphical and command-line interfaces, and allows training specific neural network layers. You can run it locally or on cloud platforms like RunPod and Modal. The toolkit automatically handles dataset preparation and resizing, and includes a web UI for managing training jobs securely. This helps you efficiently create custom AI models with flexibility and advanced features, even if you are not an expert.
https://github.com/ostris/ai-toolkit
AI Toolkit by Ostris is a powerful, easy-to-use software suite for training and fine-tuning AI models like Stable Diffusion and FLUX.1 on consumer-grade Nvidia GPUs with at least 24GB VRAM. It supports image and video models, offers both graphical and command-line interfaces, and allows training specific neural network layers. You can run it locally or on cloud platforms like RunPod and Modal. The toolkit automatically handles dataset preparation and resizing, and includes a web UI for managing training jobs securely. This helps you efficiently create custom AI models with flexibility and advanced features, even if you are not an expert.
https://github.com/ostris/ai-toolkit
GitHub
GitHub - ostris/ai-toolkit: The ultimate training toolkit for finetuning diffusion models
The ultimate training toolkit for finetuning diffusion models - ostris/ai-toolkit
#python #pyside6 #python #youtube_dl #youtube_downloader #yt_dlp #yt_dlp_gui
YTSage is a user-friendly app that lets you download YouTube videos in any quality, extract audio, and get subtitles easily through a clean interface. You can download single videos or entire playlists, save thumbnails and descriptions, remove sponsor segments, and even trim videos. It supports login with cookies for private content and updates itself automatically. Installation is simple via pip or pre-built executables for Windows, Linux, and macOS. This tool helps you save and organize YouTube content efficiently with advanced options like speed limiting and custom commands, making video downloading fast and convenient.
https://github.com/oop7/YTSage
YTSage is a user-friendly app that lets you download YouTube videos in any quality, extract audio, and get subtitles easily through a clean interface. You can download single videos or entire playlists, save thumbnails and descriptions, remove sponsor segments, and even trim videos. It supports login with cookies for private content and updates itself automatically. Installation is simple via pip or pre-built executables for Windows, Linux, and macOS. This tool helps you save and organize YouTube content efficiently with advanced options like speed limiting and custom commands, making video downloading fast and convenient.
https://github.com/oop7/YTSage
GitHub
GitHub - oop7/YTSage: Modern YouTube downloader with a clean PySide6 interface. Download videos in any quality, extract audio,…
Modern YouTube downloader with a clean PySide6 interface. Download videos in any quality, extract audio, fetch subtitles, sponsorBlock, and view video metadata. Built with yt-dlp for reliable perfo...
#python #alibabacloud #android #android_emulator #aws #azure #cloud #docker #docker_android #emulator #gcp #genymotion #jenkins #kubernetes #mobile_app #mobile_web #novnc #saltstack #selenium #selenium_grid #terraform
You can use Docker-Android to run Android emulators inside Docker containers, which helps you develop and test Android apps easily without needing physical devices. It offers many device profiles like Samsung Galaxy and Nexus models, supports viewing the emulator via VNC, sharing logs through a web interface, and controlling the emulator remotely with adb. It works on Ubuntu and can integrate with cloud services like Genymotion. This setup speeds up development, testing, and automation, making your workflow more consistent and efficient while saving resources. You can also persist data and run unit or UI tests with popular frameworks like Appium and Espresso. This helps you build and test Android apps faster and more reliably.
https://github.com/budtmo/docker-android
You can use Docker-Android to run Android emulators inside Docker containers, which helps you develop and test Android apps easily without needing physical devices. It offers many device profiles like Samsung Galaxy and Nexus models, supports viewing the emulator via VNC, sharing logs through a web interface, and controlling the emulator remotely with adb. It works on Ubuntu and can integrate with cloud services like Genymotion. This setup speeds up development, testing, and automation, making your workflow more consistent and efficient while saving resources. You can also persist data and run unit or UI tests with popular frameworks like Appium and Espresso. This helps you build and test Android apps faster and more reliably.
https://github.com/budtmo/docker-android
GitHub
GitHub - budtmo/docker-android: Android in docker solution with noVNC supported and video recording
Android in docker solution with noVNC supported and video recording - budtmo/docker-android
#go #codegen #dependency_injection #go #golang #initialization
Wire is a tool for Go programming that automatically generates code to connect different parts of your application, making it easier to manage dependencies without writing repetitive setup code. It works at compile time, so it catches errors early and avoids slowing down your program during execution. Using Wire helps you write cleaner, safer, and more testable code by clearly showing how components depend on each other and allowing easy replacement of parts for testing. This saves you time and reduces mistakes when building or changing complex Go applications.
https://github.com/google/wire
Wire is a tool for Go programming that automatically generates code to connect different parts of your application, making it easier to manage dependencies without writing repetitive setup code. It works at compile time, so it catches errors early and avoids slowing down your program during execution. Using Wire helps you write cleaner, safer, and more testable code by clearly showing how components depend on each other and allowing easy replacement of parts for testing. This saves you time and reduces mistakes when building or changing complex Go applications.
https://github.com/google/wire
GitHub
GitHub - google/wire: Compile-time Dependency Injection for Go
Compile-time Dependency Injection for Go. Contribute to google/wire development by creating an account on GitHub.
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#python #mllm #point_clouds #scene_understanding #spatial_intelligence
SpatialLM is a powerful 3D language model that turns complex 3D point cloud data from videos, RGBD images, or LiDAR into clear, structured 3D scene layouts showing walls, doors, windows, and objects with labels. It works without needing special equipment and can detect user-specified object categories. This helps you understand and analyze indoor spaces better, useful for robotics, navigation, and 3D design. You can run it on your data, visualize results, and even customize detection tasks easily, making 3D scene understanding more accessible and flexible for many applications.
https://github.com/manycore-research/SpatialLM
SpatialLM is a powerful 3D language model that turns complex 3D point cloud data from videos, RGBD images, or LiDAR into clear, structured 3D scene layouts showing walls, doors, windows, and objects with labels. It works without needing special equipment and can detect user-specified object categories. This helps you understand and analyze indoor spaces better, useful for robotics, navigation, and 3D design. You can run it on your data, visualize results, and even customize detection tasks easily, making 3D scene understanding more accessible and flexible for many applications.
https://github.com/manycore-research/SpatialLM
GitHub
GitHub - manycore-research/SpatialLM: [NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling
[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling - manycore-research/SpatialLM
#python #agents #ai #ai_ux #autogen #browser_use #computer_use_agent #cua #ui
Magentic-UI is a tool that helps you automate complex web tasks by working together with you. It lets you plan step-by-step actions, watch the progress, and approve sensitive steps to keep control and safety. You can interact with it through a browser, upload files, and even run multiple tasks at once. It learns from past tasks to improve future automation. This means you save time on repetitive or complicated web activities while staying in control, making your work easier and more efficient. It supports Python 3.10+ and works best with Docker or WSL2 on Windows.
https://github.com/microsoft/magentic-ui
Magentic-UI is a tool that helps you automate complex web tasks by working together with you. It lets you plan step-by-step actions, watch the progress, and approve sensitive steps to keep control and safety. You can interact with it through a browser, upload files, and even run multiple tasks at once. It learns from past tasks to improve future automation. This means you save time on repetitive or complicated web activities while staying in control, making your work easier and more efficient. It supports Python 3.10+ and works best with Docker or WSL2 on Windows.
https://github.com/microsoft/magentic-ui
GitHub
GitHub - microsoft/magentic-ui: A research prototype of a human-centered web agent
A research prototype of a human-centered web agent - microsoft/magentic-ui
#csharp #2d #avaloniaui #csharp #dotnet_core #dotnetcore #editor #game_development #graphics #graphics_editor #linux_desktop #painting #pixel_art #pixi #procedural_drawing #procedural_generation #raster_graphics #sprites #tabs #vector_graphics
PixiEditor is a free, easy-to-use 2D graphics editor that combines pixel art, painting, and vector tools all in one program. You can create game sprites, animations, logos, and edit images with a simple interface. It supports mixing vector and raster graphics on the same canvas and lets you export to many formats like PNG, SVG, GIF, and MP4. The powerful Node Graph system allows you to create complex, non-destructive effects and animations. It also has a timeline for frame-by-frame animation and autosaves your work to prevent loss. This makes it a versatile tool for artists and game developers.
https://github.com/PixiEditor/PixiEditor
PixiEditor is a free, easy-to-use 2D graphics editor that combines pixel art, painting, and vector tools all in one program. You can create game sprites, animations, logos, and edit images with a simple interface. It supports mixing vector and raster graphics on the same canvas and lets you export to many formats like PNG, SVG, GIF, and MP4. The powerful Node Graph system allows you to create complex, non-destructive effects and animations. It also has a timeline for frame-by-frame animation and autosaves your work to prevent loss. This makes it a versatile tool for artists and game developers.
https://github.com/PixiEditor/PixiEditor
GitHub
GitHub - PixiEditor/PixiEditor: PixiEditor is a Universal Editor for all your 2D needs
PixiEditor is a Universal Editor for all your 2D needs - PixiEditor/PixiEditor
#c_lang
You can build C projects using only a C compiler without needing tools like make or cmake by using the "nob" library, which lets you write build instructions in C itself. This makes your build process very portable across many systems (Linux, Windows, MacOS, etc.) because it depends only on the C compiler, which is widely available. It also lets you reuse code between your project and build system since both use C. However, it requires comfort with C programming and is mainly useful for simpler C/C++ projects, not complex ones with many dependencies. You just include the single header file "nob.h" to start using it. This approach simplifies building and increases control if you prefer coding your build steps in C directly.
https://github.com/tsoding/nob.h
You can build C projects using only a C compiler without needing tools like make or cmake by using the "nob" library, which lets you write build instructions in C itself. This makes your build process very portable across many systems (Linux, Windows, MacOS, etc.) because it depends only on the C compiler, which is widely available. It also lets you reuse code between your project and build system since both use C. However, it requires comfort with C programming and is mainly useful for simpler C/C++ projects, not complex ones with many dependencies. You just include the single header file "nob.h" to start using it. This approach simplifies building and increases control if you prefer coding your build steps in C directly.
https://github.com/tsoding/nob.h
GitHub
GitHub - tsoding/nob.h: Header only library for writing build recipes in C.
Header only library for writing build recipes in C. - GitHub - tsoding/nob.h: Header only library for writing build recipes in C.
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#python #agents #ai #api_gateway #asyncio #authentication_middleware #devops #docker #fastapi #federation #gateway #generative_ai #jwt #kubernetes #llm_agents #mcp #model_context_protocol #observability #prompt_engineering #python #tools
The MCP Gateway is a powerful tool that unifies different AI service protocols like REST and MCP into one easy-to-use endpoint. It helps you manage multiple AI tools and services securely with features like authentication, retries, rate-limiting, and real-time monitoring through an admin UI. You can run it locally or in scalable cloud environments using Docker or Kubernetes. It supports various communication methods (HTTP, WebSocket, SSE, stdio) and offers observability with OpenTelemetry for tracking AI tool usage and performance. This gateway simplifies connecting AI clients to diverse services, making development and management more efficient and secure.
https://github.com/IBM/mcp-context-forge
The MCP Gateway is a powerful tool that unifies different AI service protocols like REST and MCP into one easy-to-use endpoint. It helps you manage multiple AI tools and services securely with features like authentication, retries, rate-limiting, and real-time monitoring through an admin UI. You can run it locally or in scalable cloud environments using Docker or Kubernetes. It supports various communication methods (HTTP, WebSocket, SSE, stdio) and offers observability with OpenTelemetry for tracking AI tool usage and performance. This gateway simplifies connecting AI clients to diverse services, making development and management more efficient and secure.
https://github.com/IBM/mcp-context-forge
GitHub
GitHub - IBM/mcp-context-forge: A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools…
A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts R...
#php #agent #agi #ai #gpt #llm #low_code #mcp #no_code #sandbox #workflow
Magic is an open-source AI platform that helps businesses quickly build and use AI tools to boost productivity by up to 100 times. It offers a complete set of AI products, including a smart AI agent for complex tasks, an AI-powered chat system for team communication, and a visual tool to create AI workflows without coding. These tools work together to improve decision-making, automate tasks, and enhance collaboration securely within organizations. You can try Magic via cloud services or self-host it, making it flexible and powerful for different business needs. This platform saves time, improves efficiency, and supports smarter teamwork.
https://github.com/dtyq/magic
Magic is an open-source AI platform that helps businesses quickly build and use AI tools to boost productivity by up to 100 times. It offers a complete set of AI products, including a smart AI agent for complex tasks, an AI-powered chat system for team communication, and a visual tool to create AI workflows without coding. These tools work together to improve decision-making, automate tasks, and enhance collaboration securely within organizations. You can try Magic via cloud services or self-host it, making it flexible and powerful for different business needs. This platform saves time, improves efficiency, and supports smarter teamwork.
https://github.com/dtyq/magic
GitHub
GitHub - dtyq/magic: Super Magic. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine…
Super Magic. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system) - dtyq/magic
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