#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 #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

#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

#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 #chatbot #chatwoot #cloud_api #dify #evolution #n8n #openai #pusher #rabbitmq #typebot #whatsapp #whatsapp_api #whatsapp_bot

Evolution API is a powerful tool that lets you connect and control WhatsApp and other messaging platforms easily. It supports both free WhatsApp Web-based API and the official WhatsApp Business API, plus upcoming Instagram and Messenger support. You can integrate it with popular services like OpenAI for AI features, Chatwoot for customer support, and Amazon S3 for media storage. There’s also a lightweight version for simple, fast setups. Using Evolution API helps you automate messaging, manage chats, and build smart bots, saving time and improving communication for your business or projects.

https://github.com/EvolutionAPI/evolution-api

#typescript #ai #ai_chatbot #angular #chat #chatbot #chatgpt #cohere #component #files #huggingface #image #nextjs #openai #react #react_chatbot #solid #speech #svelte #vue

Deep Chat is an easy-to-add AI chat tool for your website that connects with popular AI services like ChatGPT and HuggingFace or your own custom APIs using just one line of code. It supports text, voice input, speech-to-text, text-to-speech, file sharing, webcam photos, and audio recording, making conversations more interactive. You can customize everything from avatars to message styles and run small AI models directly in the browser without servers. It works with major web frameworks and offers features like local message storage and focus mode for a modern chat experience. This helps you quickly add a powerful, flexible AI chatbot that fits your needs and improves user engagement.

https://github.com/OvidijusParsiunas/deep-chat

#python #agents #ai #framework #llm #openai #python

The OpenAI Agents SDK is a Python framework that lets you easily build and connect AI agents—smart programs that can talk, use tools, and work together to solve tasks[2][3]. You can turn any Python function into a tool an agent can use, set up safety checks to control what agents do, and automatically pass tasks between different agents when needed[2][4]. The SDK manages conversation history for you, so agents remember past interactions, and it includes tools to track and debug how agents make decisions[2]. This makes it simple to create reliable, customizable AI helpers for things like customer support, research, or automation, with clear oversight and fast development.

https://github.com/openai/openai-agents-python

#csharp #agent #ai #avalonia #chat #claude #deepseek #gpt_oss #grok #llm #mcp #ollama #openai #rag #ui_automation

Everywhere is an AI assistant that works directly on your screen without needing screenshots or app switching. You just press a shortcut and it understands the context instantly to help you with tasks like fixing errors, summarizing articles, translating text, or improving your writing tone. It supports many AI models and runs on Windows, with macOS and Linux versions coming soon. This tool saves you time and effort by giving quick, relevant help exactly where you need it, making your work and browsing smoother and more efficient. It also supports multiple languages and has a modern, easy-to-use interface.

https://github.com/DearVa/Everywhere

#typescript #agent #ai #ai_assistant #ai_chat #chat #chatbot #chatgpt #claude #cross_platform #deepseek #gemini #llm_client #mcp #mcp_client #openai_client #tool_calling

DeepChat is a powerful open-source AI chat platform that supports many large language models like OpenAI and Ollama. It offers features such as unified model management, local model integration, advanced tool calling, and enhanced search capabilities. DeepChat is privacy-focused, allowing local data storage and network proxy support. It's suitable for both personal and business use, supporting multiple platforms like Windows, macOS, and Linux. Users benefit from its flexibility, customization options, and privacy protection, making it a versatile tool for various AI applications.

https://github.com/ThinkInAIXYZ/deepchat

#go #agent #agentic #ai #chatbot #chatbots #embeddings #evaluation #generative_ai #golang #knowledge_base #llm #multi_tenant #multimodel #ollama #openai #question_answering #rag #reranking #semantic_search #vector_search

WeKnora is a powerful tool that helps you understand and find answers in complex documents like PDFs and Word files. It uses advanced AI to read documents, understand what they mean, and answer your questions in a simple way. This tool is useful for businesses and researchers because it can quickly find information from many documents, making it easier to manage knowledge and make decisions. It also supports multiple languages and can be used privately, ensuring your data stays safe.

https://github.com/Tencent/WeKnora

#python #deep_learning #inference #openai #quantization #speech_recognition #speech_to_text #transformer #whisper

Faster-Whisper is a fast version of OpenAI's Whisper that transcribes audio up to 4x quicker with the same accuracy, using less memory on CPU or GPU—benchmarks show it beats original Whisper (e.g., 1m03s vs 2m23s for 13-min audio on GPU). Install via `pip install faster-whisper`, no FFmpeg needed, and use simple Python code like `WhisperModel("large-v3").transcribe("audio.mp3")` for segments with timestamps. You benefit by getting quick, efficient speech-to-text for real-time apps, saving time and resources on long files or batches.

https://github.com/SYSTRAN/faster-whisper

#python #deepseek #demo #easy #embedding #flask #gpt #huggingface_transformers #llm #mcp #multimodal #openai #qwen #rag #sentence_transformers #ui #vllm #vlm

UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles.

https://github.com/OpenBMB/UltraRAG

#python #agents #ai #ai_engineer #ai_engineering #copilot #data_science #data_scientist #generative_ai #gpt #machine_learning #ml_engineer #ml_engineering #openai

AI Data Science Team is a free Python library with AI agents that speed up your data work 10X by handling loading, cleaning, visualization, EDA, feature engineering, modeling, and SQL tasks. Its flagship AI Pipeline Studio app creates visual, reproducible pipelines you can run with Streamlit after easy install (Python 3.10+, OpenAI or Ollama). This saves you hours on repetitive jobs, boosts accuracy, and lets you focus on insights and business results.

https://github.com/business-science/ai-data-science-team