#other #agent #ai #artificial_intelligence #autogpt #autonomous_agents #awesome #babyagi #copilot #gpt #gpt_4 #gpt_engineer #openai #python

Codeium is a free AI-powered coding assistant that helps you write code faster and better by providing real-time autocomplete suggestions, generating code from natural language, explaining code, and assisting with refactoring. It supports over 70 programming languages and integrates with many popular IDEs like Visual Studio Code. Codeium learns from your coding style and project context to offer relevant suggestions, saving you time and reducing errors. It also includes a chat feature to answer coding questions instantly, so you don’t need to switch to a browser for help. This boosts your productivity and code quality efficiently.

https://github.com/e2b-dev/awesome-ai-agents

#other

The FFmpeg School of Assembly Language teaches you how assembly code is written in FFmpeg, helping you understand what happens inside your computer. To join, you should know C programming (especially pointers) and basic high school math. The lessons include assignments and a Discord server for questions. By completing them, you can contribute to FFmpeg, a powerful video processing tool that uses assembly to speed up tasks dramatically—sometimes up to 94 times faster with special instructions like AVX-512. Learning this helps you write highly efficient code for video and multimedia processing, improving performance in real-world applications.

https://github.com/FFmpeg/asm-lessons

#python #agent #agentic #agentic_ai #agents #agents_sdk #ai #ai_agents #aiagentframework #genai #genai_chatbot #llm #llms #multi_agent #multi_agent_systems #multi_agents #multi_agents_collaboration

The Agent Development Kit (ADK) is an open-source Python toolkit that helps you easily build, test, and deploy smart AI agents, from simple helpers to complex multi-agent systems. It lets you write agent logic in Python, use many built-in or custom tools, and organize multiple agents to work together. You can deploy agents anywhere, including Google Cloud, and evaluate their performance with built-in tools. ADK supports flexible workflows and works with various AI models, not just Google’s. This means you get full control and flexibility to create powerful AI applications that fit your needs, speeding up development and making it easier to manage AI projects.

https://github.com/google/adk-python

#python #adk #agent_samples #agents

The Agent Development Kit (ADK) offers ready-made sample agents in Python and Java to help you quickly build AI-powered agents for various tasks, from simple chatbots to complex multi-agent workflows. It supports flexible design, letting you combine multiple specialized agents, use diverse tools, and create adaptable workflows. ADK also includes developer tools for easy testing, debugging, and deployment, and works well with Google’s AI models and other large language models. Using these samples can save you time and effort by providing practical examples and a strong foundation to develop your own intelligent agents efficiently. This helps you focus on your agent’s logic while ADK handles orchestration and scaling.

https://github.com/google/adk-samples

#rust

You can install OpenAI Codex CLI on your computer easily using commands like `npm install -g @openai/codex` or `brew install codex`. It runs locally, letting you interact with AI models directly in your terminal to read, write, and run code safely within a sandboxed environment. You can control how much autonomy Codex has, from read-only to full read/write access with your approval. It supports integration with your ChatGPT Plus or Pro account for free access to advanced models. This tool helps you code faster, fix bugs, and understand code without leaving your terminal, improving productivity and security since your code stays on your machine.

https://github.com/openai/codex

#cplusplus #ai_chat #llm_inference

GPT4All lets you run powerful AI language models directly on your own computer without needing internet, cloud services, or special GPUs. This means your data stays private and secure because nothing leaves your device. You can chat with the AI, ask questions, summarize documents, write code, or create content anytime, even offline. It works on Windows, macOS, and Linux with easy installation and supports many popular AI models. You can also customize it and use it with Python or other tools. This gives you full control, privacy, and flexibility for AI tasks without extra costs or dependencies.

https://github.com/nomic-ai/gpt4all

#python #assistant #learning #note_taking #notebook #notes_app #self_learning

Open Notebook is a free, open-source tool that helps you organize and control your research privately without relying on big companies like Google. It supports many AI providers, lets you manage different content types like PDFs and videos, and even create professional multi-speaker podcasts. You can search your notes smartly, chat with AI using your own research as context, and customize everything to fit your needs. It runs on your own computer or cloud, so you keep full control of your data and costs. This means you get a powerful, flexible, and private research assistant tailored to you.

https://github.com/lfnovo/open-notebook

#go #2fa #authentication #caddy #golang #middleware #nginx #selfhosted #sso #totp #traefik_middleware #typescipt

Tinyauth is a simple tool that adds a login screen or OAuth login (Google, Github, etc.) to your Docker apps, making them secure easily. It works with popular reverse proxies like Traefik, Nginx, and Caddy. You can quickly set it up using their documentation and demo, and it supports basic authentication and API access. This helps protect your apps from unauthorized access without complex setup. It’s open source, actively developed, and has a helpful community on Discord for support. Using Tinyauth improves your app security with minimal effort and flexible login options.

https://github.com/steveiliop56/tinyauth

#javascript #capture_screenshots #clone #dom #js #screenshot

snapDOM is a very fast and accurate tool that captures any part of a webpage (HTML elements) as images, including styles, fonts, shadows, and even hidden parts like shadow DOM. It can save these captures in many formats like SVG, PNG, JPG, WebP, or canvas, and works without extra dependencies using standard web APIs. You can easily customize the image size, quality, and even exclude parts you don’t want. It handles complex web features and is much faster than similar tools, making it great for quickly creating high-quality snapshots of web content for use in apps or presentations. This saves you time and effort in capturing styled webpage visuals.

https://github.com/zumerlab/snapdom

#typescript #nodejs #openai #typescript

You can use the OpenAI TypeScript and JavaScript library to easily connect your apps to OpenAI’s API, letting you generate text, handle streaming responses, upload files, verify webhooks, and more with simple code. It supports Node.js, Deno, Bun, and browsers (with caution), offers full TypeScript types for better coding accuracy and IDE help, and handles errors and retries automatically. You can also use it with Microsoft Azure OpenAI and build real-time chat with WebSocket. This library saves you time and effort by providing ready-to-use, well-documented tools to integrate AI features smoothly into your JavaScript or TypeScript projects.

https://github.com/openai/openai-node

#typescript #agentic_ai #agents #ai #claude #copilot #cursor #git #llm #mcp

GitMCP is a free, open-source service that connects AI assistants to any GitHub project’s latest documentation and code using the Model Context Protocol (MCP). This means your AI can access up-to-date, accurate information directly from the source, reducing mistakes and hallucinations when coding or asking questions about libraries, even new or niche ones. You just add a GitMCP URL for your chosen GitHub repo to your AI tool, and it fetches relevant docs and code smartly without setup hassle. This helps you get reliable code examples and API usage instantly, improving your coding efficiency and accuracy. It’s private, easy to use, and works with many AI assistants.

https://github.com/idosal/git-mcp

#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

#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

#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

#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

#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

#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

#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

#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

#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