GitHub Trends

#kotlin#agentframework#agentic_ai#agents#ai#aiagentframework#android_ai#anthropic#generative_ai#java#jvm#kotlin#ktor#llm#mcp#ollama#openai#spring Koog is a Kotlin-based open-source framework that helps you build AI agents fully in Kotlin, making it easy to create smart assistants that can use tools, manage complex tasks, and remember past interactions. It supports multiple AI models like OpenAI and Google, runs on many platforms (JVM, JavaScript, iOS), and offers features like real-time streaming, custom tools, and efficient memory use. Koog also provides debugging tools, flexible workflows, and scales from simple chatbots to enterprise systems. Using Koog lets you develop powerful, maintainable AI agents quickly and naturally within the Kotlin ecosystem, benefiting your projects with speed, flexibility, and strong integration options. https://github.com/JetBrains/koog

#typescript#agentic_ai#agentic_workflow#agents#ai#approval_process#escalation_policy#function_calling#human_as_tool#human_in_the_loop#humanlayer#llm#llms HumanLayer helps you safely use AI agents to automate important tasks by ensuring a human always reviews high-risk actions, like sending emails or changing private data. This is crucial because AI can make mistakes or create wrong outputs, and some tasks are too sensitive to trust AI alone. HumanLayer’s tools guarantee human oversight in these cases, so you get the benefits of AI automation without risking errors in critical work. This makes AI more reliable and useful for automating complex workflows while keeping control and safety in your hands. https://github.com/humanlayer/humanlayer

#javascript#ai#anthropic#chatbots#chatgpt#claude#gemini#generative_ai#google_deepmind#large_language_models#llm#openai#prompt_engineering#prompt_injection#prompts There is a collection of system prompts used by popular chatbots like ChatGPT and others. These prompts are instructions that guide how chatbots respond. They are now available publicly on GitHub, which can be very helpful for users. By seeing these prompts, users can understand how chatbots work and even learn how to create their own AI tools. This can help developers build better AI applications and improve their understanding of AI technology. https://github.com/asgeirtj/system_prompts_leaks

#typescript#agent#agentic_ai#agents#ai#ai_agents#ai_tools#anthropic#automation#bytebot#computer_use#computer_use_agent#cua#desktop#desktop_automation#docker#gemini#llm#mcp#openai Bytebot is an open-source AI desktop agent that acts like a virtual employee with its own computer, able to use real applications, browse websites, handle passwords, and process documents automatically. You just describe tasks in plain English, and Bytebot completes them by clicking, typing, downloading files, organizing data, and running complex workflows across multiple programs. It runs locally on your own infrastructure, ensuring privacy and full control, and supports many AI models. This helps you save time by automating repetitive or complex tasks without scripting, improving efficiency and accuracy in business, research, or development work. https://github.com/bytebot-ai/bytebot

#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

#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

#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

#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#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

#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

#typescript#ai#cross_platform#desktop#openai#rust#transcribe#whisper You can use Vibe to easily transcribe audio and video files on your own computer without needing the internet. It works offline using OpenAI’s Whisper engine, so your data stays private and never leaves your device. Vibe supports many languages, multiple file formats like SRT for captions, and can transcribe from system audio, microphone, or popular websites. It runs on Mac, Windows, and Linux, and offers features like batch transcription, real-time preview, translation, and AI-powered summaries. This helps you quickly get accurate transcripts while keeping your information secure and under your control. https://github.com/thewh1teagle/vibe

#typescript#agentic_ai#ai#flow_based_programming#visual_ai#visual_programming#visual_programming_editor#visual_programming_language#vscode#vscode_extension Flyde is a free, open-source tool that lets you build and manage AI workflows visually inside your existing TypeScript codebase using VS Code. It helps you create, test, and improve complex backend AI logic like AI agents and prompt chains with a clear visual interface, making it easier for both developers and non-developers to collaborate. Flyde integrates directly with your code and tools, so you keep full control while simplifying development and debugging. This saves time, reduces errors, and improves teamwork on AI-powered backend projects. https://github.com/flydelabs/flyde