#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
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
GitHub
GitHub - DearVa/Everywhere: Context-aware AI assistant for your desktop. Ready to respond intelligently, seamlessly integrating…
Context-aware AI assistant for your desktop. Ready to respond intelligently, seamlessly integrating multiple LLMs and MCP tools. - 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
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
GitHub
GitHub - ThinkInAIXYZ/deepchat: 🐬DeepChat - A smart assistant that connects powerful AI to your personal world
🐬DeepChat - A smart assistant that connects powerful AI to your personal world - 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
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
GitHub
GitHub - Tencent/WeKnora: LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers…
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm. - 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
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
GitHub
GitHub - SYSTRAN/faster-whisper: Faster Whisper transcription with CTranslate2
Faster Whisper transcription with CTranslate2. Contribute to SYSTRAN/faster-whisper development by creating an account on GitHub.
#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
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
GitHub
GitHub - OpenBMB/UltraRAG: A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines - 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
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
GitHub
GitHub - business-science/ai-data-science-team: An AI-powered data science team of agents to help you perform common data science…
An AI-powered data science team of agents to help you perform common data science tasks 10X faster. - business-science/ai-data-science-team
#python #ai #claude #gemini #llama #llm #openai
You can access powerful AI language models for free or with trial credits through multiple legitimate platforms. Services like OpenRouter, Google AI Studio, Groq, and Mistral offer free tiers with varying request limits, while others like Fireworks, Baseten, and Inference.net provide trial credits ranging from $1 to $30. These platforms support diverse models including Llama, Gemma, Qwen, and DeepSeek, enabling you to build and test AI applications without upfront costs. The benefit is clear: you can prototype, develop, and deploy AI-powered features while managing your budget effectively, with options to scale up as your needs grow.
https://github.com/cheahjs/free-llm-api-resources
You can access powerful AI language models for free or with trial credits through multiple legitimate platforms. Services like OpenRouter, Google AI Studio, Groq, and Mistral offer free tiers with varying request limits, while others like Fireworks, Baseten, and Inference.net provide trial credits ranging from $1 to $30. These platforms support diverse models including Llama, Gemma, Qwen, and DeepSeek, enabling you to build and test AI applications without upfront costs. The benefit is clear: you can prototype, develop, and deploy AI-powered features while managing your budget effectively, with options to scale up as your needs grow.
https://github.com/cheahjs/free-llm-api-resources
GitHub
GitHub - cheahjs/free-llm-api-resources: A list of free LLM inference resources accessible via API.
A list of free LLM inference resources accessible via API. - cheahjs/free-llm-api-resources
#go #ai_agents #ai_security_tool #anthropic #autonomous_agents #golang #gpt #graphql #multi_agent_system #offensive_security #open_source #openai #penetration_testing #penetration_testing_tools #react #security_automation #security_testing #security_tools #self_hosted
PentAGI is an AI-powered tool that automates penetration testing with smart agents using 20+ pro tools like nmap and metasploit in a safe Docker sandbox. It researches vulnerabilities, executes attacks, stores knowledge for reuse, and creates detailed reports via a simple web UI. Quick setup needs Docker, an LLM API key (OpenAI/Anthropic), and `docker compose up -d`. This saves you hours of manual work, speeds up secure testing, cuts errors, and helps find issues faster for better protection.
https://github.com/vxcontrol/pentagi
PentAGI is an AI-powered tool that automates penetration testing with smart agents using 20+ pro tools like nmap and metasploit in a safe Docker sandbox. It researches vulnerabilities, executes attacks, stores knowledge for reuse, and creates detailed reports via a simple web UI. Quick setup needs Docker, an LLM API key (OpenAI/Anthropic), and `docker compose up -d`. This saves you hours of manual work, speeds up secure testing, cuts errors, and helps find issues faster for better protection.
https://github.com/vxcontrol/pentagi
GitHub
GitHub - vxcontrol/pentagi: ✨ Fully autonomous AI Agents system capable of performing complex penetration testing tasks
✨ Fully autonomous AI Agents system capable of performing complex penetration testing tasks - vxcontrol/pentagi
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#rust #ai_gateway #ai_gateway_support #envoy #envoyproxy #gateway #generative_ai #llm_gateway #llm_inference #llm_proxy #llm_routing #llmops #llms #openai #prompt #proxy #proxy_server #routing
Plano is an AI-native proxy server that handles key tasks for agentic apps like routing between agents, smart LLM model selection, safety guardrails, and automatic traces for observability. Define agents in simple YAML, write basic HTTP code in any language, and start Plano to run multi-agent systems without custom plumbing or framework lock-in. You benefit by building and shipping reliable agents to production much faster, focusing on core logic while gaining safety, low latency, and easy scaling.
https://github.com/katanemo/plano
Plano is an AI-native proxy server that handles key tasks for agentic apps like routing between agents, smart LLM model selection, safety guardrails, and automatic traces for observability. Define agents in simple YAML, write basic HTTP code in any language, and start Plano to run multi-agent systems without custom plumbing or framework lock-in. You benefit by building and shipping reliable agents to production much faster, focusing on core logic while gaining safety, low latency, and easy scaling.
https://github.com/katanemo/plano
GitHub
GitHub - katanemo/plano: Delivery infrastructure for agentic apps - Plano is an AI-native proxy and data plane that offloads plumbing…
Delivery infrastructure for agentic apps - Plano is an AI-native proxy and data plane that offloads plumbing work, so you stay focused on your agent's core logic (via any AI framework). - k...
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#javascript #ai #algorithm #artificial_intelligence #chatgpt #claude #cursor #deep_learning #deepseek #gemini #generative_ai #gpt #llm #mcp #openai #python #rag #vibe_coding #vibecoding #vue #vuepress
鱼皮的 AI知识库 offers a free Vibe Coding tutorial for beginners, teaching AI-powered programming with natural language prompts to build and monetize apps fast—no coding skills needed. It covers tools, projects, tips, and paths like making your first work in 10 minutes, plus AI guides on DeepSeek, Cursor, and more. You benefit by quickly creating profitable products, breaking tech barriers, and enjoying AI perks to improve life and work. Start at ai.codefather.cn/vibe.
https://github.com/liyupi/ai-guide
鱼皮的 AI知识库 offers a free Vibe Coding tutorial for beginners, teaching AI-powered programming with natural language prompts to build and monetize apps fast—no coding skills needed. It covers tools, projects, tips, and paths like making your first work in 10 minutes, plus AI guides on DeepSeek, Cursor, and more. You benefit by quickly creating profitable products, breaking tech barriers, and enjoying AI perks to improve life and work. Start at ai.codefather.cn/vibe.
https://github.com/liyupi/ai-guide
鱼皮AI导航
🌟 AI 编程零基础入门教程 Vibe Coding - 鱼皮的 AI 知识库(免费) - 鱼皮AI导航
# 鱼皮 Vibe Coding 零基础入门教程
大家好,我是程序员鱼皮。
如今 Vibe Coding 已经火遍全网,不仅是程序员,连设计师、产品运营、甚至完全不懂技术的人都开始用 Vibe C。鱼皮AI导航收录全球AI工具网站应用,专业学习资源资讯知识库,AI学习与交流社区。
大家好,我是程序员鱼皮。
如今 Vibe Coding 已经火遍全网,不仅是程序员,连设计师、产品运营、甚至完全不懂技术的人都开始用 Vibe C。鱼皮AI导航收录全球AI工具网站应用,专业学习资源资讯知识库,AI学习与交流社区。
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