#python #ai #ai_chat #chatgpt #enterprise_search #gen_ai #information_retrieval #llm #llm_ui #nextjs #python #rag
Onyx is an open-source AI platform that lets you easily create and use custom AI chat agents with any large language model (LLM). It supports advanced features like web search, document search, code execution, and connecting to over 40 apps, all while keeping your data secure and private. You can deploy it quickly on your own servers or cloud, making it great for individuals or large teams. Onyx helps you get accurate, reliable answers from your own knowledge and automates tasks, improving productivity and collaboration in your work. It’s flexible, secure, and free to start with.
https://github.com/onyx-dot-app/onyx
Onyx is an open-source AI platform that lets you easily create and use custom AI chat agents with any large language model (LLM). It supports advanced features like web search, document search, code execution, and connecting to over 40 apps, all while keeping your data secure and private. You can deploy it quickly on your own servers or cloud, making it great for individuals or large teams. Onyx helps you get accurate, reliable answers from your own knowledge and automates tasks, improving productivity and collaboration in your work. It’s flexible, secure, and free to start with.
https://github.com/onyx-dot-app/onyx
GitHub
GitHub - onyx-dot-app/onyx: Open Source AI Platform - AI Chat with advanced features that works with every LLM
Open Source AI Platform - AI Chat with advanced features that works with every LLM - onyx-dot-app/onyx
#python #ai #context #embedded #faiss #knowledge_base #knowledge_graph #llm #machine_learning #memory #nlp #offline_first #opencv #python #rag #retrieval_augmented_generation #semantic_search #vector_database #video_processing
Memvid lets you store millions of text pieces inside a single MP4 video file using QR codes, making your data 50-100 times smaller than usual databases. You can search this video instantly in under 100 milliseconds without needing servers or internet after setup. It works offline, is easy to use with simple Python code, and supports PDFs and chat with your data. The upcoming version 2 will add features like continuous memory updates, shareable capsules, fast local caching, and better video compression, making your AI memory smarter, faster, and more flexible. This means you get a powerful, portable, and efficient way to manage and search huge knowledge bases quickly and easily.
https://github.com/Olow304/memvid
Memvid lets you store millions of text pieces inside a single MP4 video file using QR codes, making your data 50-100 times smaller than usual databases. You can search this video instantly in under 100 milliseconds without needing servers or internet after setup. It works offline, is easy to use with simple Python code, and supports PDFs and chat with your data. The upcoming version 2 will add features like continuous memory updates, shareable capsules, fast local caching, and better video compression, making your AI memory smarter, faster, and more flexible. This means you get a powerful, portable, and efficient way to manage and search huge knowledge bases quickly and easily.
https://github.com/Olow304/memvid
GitHub
GitHub - memvid/memvid: Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer.…
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory. - memvid/memvid
#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
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
GitHub
GitHub - openai/openai-agents-python: A lightweight, powerful framework for multi-agent workflows
A lightweight, powerful framework for multi-agent workflows - openai/openai-agents-python
#python #agents #ai #ai_agents #api #developer_tools #discord #function_calling #integration #llm #mcp #mcp_client #mcp_server #oauth2 #open_source
Klavis AI helps developers connect AI tools to other services like GitHub, Gmail, and Slack easily. It offers hosted servers that handle authentication and client code automatically, making it simpler to integrate AI with various platforms. This saves time and effort by eliminating the need for custom authentication management and client library maintenance. Users can quickly set up and scale their AI applications without worrying about complex integrations, making it easier to deploy AI-powered workflows securely and efficiently.
https://github.com/Klavis-AI/klavis
Klavis AI helps developers connect AI tools to other services like GitHub, Gmail, and Slack easily. It offers hosted servers that handle authentication and client code automatically, making it simpler to integrate AI with various platforms. This saves time and effort by eliminating the need for custom authentication management and client library maintenance. Users can quickly set up and scale their AI applications without worrying about complex integrations, making it easier to deploy AI-powered workflows securely and efficiently.
https://github.com/Klavis-AI/klavis
GitHub
GitHub - Klavis-AI/klavis: Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale
Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale - Klavis-AI/klavis
❤1
#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: A context-aware AI assistant for your desktop. Ready to respond intelligently, seamlessly integrating…
A 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
#typescript #chatgpt #hacktoberfest #huggingface #llm #svelte #svelte_kit #sveltekit #tailwindcss #typescript
Chat UI is an open-source chat interface built with SvelteKit that lets you easily connect to different AI language models using any service that works with the OpenAI API format, such as Hugging Face, llama.cpp, Ollama, or OpenRouter[5]. You can quickly set it up on your computer by cloning the project, setting a few environment variables (like your API key and database connection), and running simple commands to start the app—no need to be an expert[5]. The main benefit is that you get a modern, customizable chat app that works with many AI models, making it simple to experiment, build, and share your own AI-powered chat experiences without starting from scratch.
https://github.com/huggingface/chat-ui
Chat UI is an open-source chat interface built with SvelteKit that lets you easily connect to different AI language models using any service that works with the OpenAI API format, such as Hugging Face, llama.cpp, Ollama, or OpenRouter[5]. You can quickly set it up on your computer by cloning the project, setting a few environment variables (like your API key and database connection), and running simple commands to start the app—no need to be an expert[5]. The main benefit is that you get a modern, customizable chat app that works with many AI models, making it simple to experiment, build, and share your own AI-powered chat experiences without starting from scratch.
https://github.com/huggingface/chat-ui
GitHub
GitHub - huggingface/chat-ui: Open source codebase powering the HuggingChat app
Open source codebase powering the HuggingChat app. Contribute to huggingface/chat-ui development by creating an account on GitHub.
❤2
#python #agent #agentic_ai #llm #mlops #reinforcement_learning
Agent Lightning is a tool that helps improve AI agents using reinforcement learning. It allows you to train your agents without making big changes to their code, which is very convenient. You can use it with many different frameworks like LangChain or OpenAI Agent SDK. It also supports various training methods, including reinforcement learning and automatic prompt optimization. This means you can make your agents better at their tasks without a lot of extra work.
https://github.com/microsoft/agent-lightning
Agent Lightning is a tool that helps improve AI agents using reinforcement learning. It allows you to train your agents without making big changes to their code, which is very convenient. You can use it with many different frameworks like LangChain or OpenAI Agent SDK. It also supports various training methods, including reinforcement learning and automatic prompt optimization. This means you can make your agents better at their tasks without a lot of extra work.
https://github.com/microsoft/agent-lightning
GitHub
GitHub - microsoft/agent-lightning: The absolute trainer to light up AI agents.
The absolute trainer to light up AI agents. Contribute to microsoft/agent-lightning development by creating an account on GitHub.
#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 #llm #nlp #pytorch #transformer
Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware.
https://github.com/GeeeekExplorer/nano-vllm
Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware.
https://github.com/GeeeekExplorer/nano-vllm
GitHub
GitHub - GeeeekExplorer/nano-vllm: Nano vLLM
Nano vLLM. Contribute to GeeeekExplorer/nano-vllm development by creating an account on GitHub.