GitHub Trends
10.1K subscribers
15.3K links
See what the GitHub community is most excited about today.

A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel.

Author and maintainer: https://github.com/katursis
Download Telegram
#typescript #ai #anthropic #artifacts #assistant_api #aws #azure #chatgpt #chatgpt_clone #claude #clone #dall_e_3 #deepseek #gemini #google #librechat #o1 #openai #plugins #vision #webui

LibreChat is a free, open-source AI chatbot platform that lets you use many AI models like OpenAI, Anthropic, and AWS in one place. It offers advanced features such as secure code execution in multiple programming languages, AI assistants that can handle files and tools without coding, and the ability to generate images and diagrams directly in chat. You can search conversations easily, manage multiple chat threads, and customize the interface to fit your needs. LibreChat supports multiple languages, speech input/output, and secure multi-user access. It can be deployed locally or on the cloud, giving you flexibility and control over your AI experience. This means you get a powerful, customizable AI assistant without needing to pay for ChatGPT Plus or rely on a single provider[1][3][5].

https://github.com/danny-avila/LibreChat
#typescript #ai #chatgpt #docsgpt #hacktoberfest #information_retrieval #language_model #llm #machine_learning #natural_language_processing #python #pytorch #rag #react #semantic_search #transformers #web_app

DocsGPT is an open-source AI tool that helps you quickly find accurate answers from many types of documents and web sources without errors. It supports formats like PDF, DOCX, images, and integrates with websites, APIs, and chat platforms like Discord and Telegram. You can deploy it privately for security, customize it to fit your brand, and connect it to tools for advanced actions. This means you save time searching for information, get reliable answers with sources, and improve productivity whether you’re a developer, support team, or business user. It’s easy to set up and scales well for many users[2][3][4].

https://github.com/arc53/DocsGPT
1
#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
#jupyter_notebook #chatgpt #finance #fingpt #fintech #large_language_models #machine_learning #nlp #prompt_engineering #pytorch #reinforcement_learning #robo_advisor #sentiment_analysis #technical_analysis

FinGPT is an open-source AI tool designed specifically for finance, helping you analyze financial news, predict stock prices, and get personalized investment advice quickly and affordably. Unlike costly models like BloombergGPT, FinGPT can be updated frequently with new data at a low cost, making it more accessible and timely. It uses advanced techniques like reinforcement learning from human feedback to tailor advice to your preferences, such as risk tolerance. You can use FinGPT for tasks like sentiment analysis, robo-advising, fraud detection, and portfolio optimization, helping you make smarter financial decisions with up-to-date insights.

https://github.com/AI4Finance-Foundation/FinGPT
#typescript #ai_coding #ai_developer_tools #chatgpt #claude #gemini #sonnet #vscode #vscode_extension

Kilo Code is a free, open-source AI extension for Visual Studio Code that helps you write and manage code faster by generating code from natural language, automating repetitive tasks, and improving existing code. It uses advanced AI models like GPT-5 and Gemini 2.5 Pro, and you get $20 in free credits to try them. It also supports multiple modes for planning, coding, and debugging, plus a marketplace to add extra tools. You just install it from the VS Code Marketplace, sign in, and start coding with AI that adapts to your workflow, saving you time and effort on boring tasks.

https://github.com/Kilo-Org/kilocode
#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 #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
#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
#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
2
#python #agent #ai #aiagent #awesome #chatgpt #hacktoberfest #hacktoberfest2025 #llm #long_short_term_memory #memori_ai #memory #memory_management #python #rag #state_management

Memori is an open-source memory engine that gives AI language models human-like memory using standard SQL databases like PostgreSQL, MySQL, or SQLite.[1][2] With just one line of code, you can enable any LLM to remember conversations, learn from interactions, and maintain context across sessions.[1] The key benefits are significant cost savings of 80-90% compared to expensive vector databases, complete data ownership and transparency since memories are stored in SQL databases you control, and zero vendor lock-in allowing you to export and move your data anywhere.[1][3] Memori works with popular frameworks like OpenAI, Anthropic, and LangChain, making it easy to integrate into existing projects without complex setup.[1]

https://github.com/GibsonAI/Memori
1