Best AI tools for< github interaction >

Devv AI is an advanced AI tool designed to provide developers with unlimited access to top models like GPT-4o and other cutting-edge features. It offers a next-gen search engine for developers, enabling direct chat with AI for tasks such as writing documents, code refactoring, and brainstorming. Devv AI also includes modes for browsing the web to deliver accurate search results and interacting with GitHub repositories for contextualized search and assistance.

The website offers a personalized GPT service that simplifies AI-powered Twitter conversations. Users can easily engage in AI-driven interactions on Twitter through this platform. The service is designed to enhance user experience and streamline communication on the social media platform. It is a copyright-protected platform developed in 2022 using Vercel and NextJS.

Kel is an AI Assistant designed to operate within the Command Line Interface (CLI). It offers users the ability to automate repetitive tasks, boost productivity, and enhance the intelligence and efficiency of their CLI interactions. Kel supports multiple Language Model Models (LLMs) including OpenAI, Anthropic, and Ollama. Users can upload files to interact with their artifacts and can integrate their own API keys for OpenAI/Anthropic. The tool is free and open-source, allowing for community contributions on GitHub. For support, users can reach out to the Kel team.

Eraser AI is an all-in-one markdown editor, collaborative canvas, and diagram-as-code builder designed for engineering teams. It serves as the first copilot for technical design, allowing users to create diagrams, design docs, and documentation with ease. The tool offers features such as collaborative brainstorming, wireframing, and high-bandwidth visual conversations. Eraser AI enables users to centralize their scattered docs and diagrams, build a team knowledge repository, and experience a multiplayer-first approach. With robust file management, fast file search, and wikilinks & mentions, users can construct a knowledge graph across files and teams. The tool is designed by developers for developers, providing features like cloud architecture visualization, entity relationship modeling, and flow chart creation. Eraser AI also offers usability enhancements such as version history, performance optimization, and a powerful new interaction method. It supports markdown formatting, export to various file formats, GitHub integration, and enterprise-grade security features.

Snorkell.ai is an automated documentation generation tool that uses AI to create and update docstrings for GitHub projects. It supports multiple programming languages, including Python, JavaScript, TypeScript, Java, and Kotlin. Snorkell.ai integrates with GitHub and automatically generates docstrings whenever a pull request is merged, ensuring that documentation is always up-to-date with the codebase. It helps developers save time and effort by automating the documentation process, leading to improved code quality and reduced onboarding time.

Maige is an open-source infrastructure designed to run natural language workflows on your codebase. It allows users to connect their repository, define rules for handling issues and pull requests, and monitor the workflow in a dashboard. Maige leverages AI capabilities to label, assign, comment, review code, and execute simple code snippets. It integrates seamlessly with the GitHub API, offering flexibility and automation in managing software development processes.

Storylist is an AI-powered tool designed to transform project ideas into actionable tasks instantly. It efficiently communicates project vision to development teams, simplifies project management processes, and generates user stories effortlessly. With a user-friendly platform, non-tech founders, solopreneurs, and freelance developers can collaborate seamlessly, estimate task times, and sync tasks with GitHub. Storylist aims to streamline project collaboration and development goals, making it easy to share project requirements with external parties and automate time estimates for tasks.

DryRun Security is an AI-powered security tool designed to provide security context for developers right when a pull request is opened. It offers a drop-in solution that adds security context as developers write code, aiming to make the development process more secure without slowing it down. The tool is optimized for various languages and frameworks and uses Contextual Security Analysis to evaluate each pull request. DryRun Security helps developers receive feedback in near real-time, protect every code repository, and improve developer productivity by increasing the velocity of the development pipeline.

WizBoard is an AI Keyboard and Chat App that offers seamless integration into various apps and writing workflows. It is designed around the concept of AI-powered text transformation tools called Spells. Users can enjoy the convenience of a personal writing assistant for tasks like writing emails, analyzing documents, and posting on social media. With a vast library of spells for different scenarios and advanced spell editing features, WizBoard aims to boost productivity and creativity. The app also supports multi-format message rendering and offers various subscription plans for users' needs.

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

TalentSight is an AI-powered recruitment tool that revolutionizes the hiring process by providing access to a wide untapped talent pool of IT professionals. It helps recruiters find and engage with top talent tailored to specific requirements efficiently and effectively. The platform offers features like seamless integration with LinkedIn, personalized messaging, AI-assisted candidate evaluation, and comprehensive candidate management. TalentSight aims to streamline recruitment operations, optimize time-to-hire, and improve response rates, making it a valuable asset for recruitment agencies and HR departments.

I18ncore is an Artificial Intelligence-driven localisation-as-a-service platform that specializes in internationalization management and workflows. It offers a simple 3-step process for localizing projects, including signing up, syncing with GitHub, and starting the translation process. Users can access features like unlimited keys, projects, email support, and AI-assisted translations through different pricing plans. The platform aims to streamline the localization process and make it faster and more efficient for users.

Tusk is an AI coding agent designed to assist software engineers in fixing bugs and completing chore tickets efficiently. It generates code from tickets, regenerates code to address feedback, conducts automated sanity tests, and investigates complex tasks. Tusk helps engineers save time and effort by automating repetitive coding tasks and improving productivity. It is trusted by engineers at high-growth companies and offers seamless integration with popular tools like Linear, Jira, Notion, and GitHub.

Devin AI, developed by Cognition Labs, is the world's first fully autonomous AI software engineer. It streamlines software development by handling complex tasks, allowing engineers to focus on more challenging aspects. Devin AI possesses advanced programming skills, can manage complex tasks, understands and learns contextually, integrates with developer tools, and offers collaborative features. It can build and deploy applications, detect and fix bugs, contribute to open-source projects, train AI models, and handle GitHub repositories. Devin AI has demonstrated strong performance in issue resolution, surpassing previous AI models. It is currently in early access, with plans for future enhancements and integration with various development tools and platforms.

GitHub is the world's leading AI-powered developer platform that accelerates innovation by increasing the pace of software development. It offers various features such as GitHub Copilot for contextualized AI coding assistance, GitHub Actions for automating build, test, and deployment workflows, GitHub Codespaces for complete dev environments, and GitHub Advanced Security for finding and fixing vulnerabilities. The platform enhances collaboration with tools like GitHub Issues, GitHub Projects, GitHub Discussions, and pull requests. GitHub is trusted by leading organizations worldwide for productivity, security, and collaboration.

GitHub Next is a research and development team at GitHub that explores the future of software development. The team prototypes tools and technologies that will change the way we build software, and identifies new approaches to building healthy, productive software engineering teams.

GitHub Pages is a static site hosting service that allows you to showcase your projects, documentation, or personal portfolio directly from a GitHub repository. It is a free service provided by GitHub, enabling users to create websites for their repositories without the need for a dedicated web server. With GitHub Pages, you can easily share your work with the world and collaborate with others in an efficient manner.

Weekly Github Insights is an AI-powered platform that provides users with a comprehensive summary of their latest GitHub activities from the past 7 days. It aims to keep users informed and motivated by compiling their weekly GitHub journey. The platform is built by @rohan_2502 using @aceternitylabs, @github APIs, and @OpenAI.

Enric Corona is a Research Scientist at Google Research, working on 3D Humans and Generative AI. His research is in areas of computer vision and machine learning, including modelling and reconstruction of 3D human bodies and hands.

Boximator is an AI-powered tool that allows users to generate rich and controllable motions for video synthesis. It uses a combination of deep learning and computer vision techniques to analyze and interpret text prompts, and then generate realistic and visually appealing motions that match the user's intent. Boximator is particularly well-suited for creating videos of human characters, but it can also be used to generate motions for other objects, such as animals, vehicles, and even abstract shapes.

LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.

This repository, named Awesome-Embodied-Agent-with-LLMs, is a curated list of research related to Embodied AI or agents with Large Language Models. It includes various papers, surveys, and projects focusing on topics such as self-evolving agents, advanced agent applications, LLMs with RL or world models, planning and manipulation, multi-agent learning and coordination, vision and language navigation, detection, 3D grounding, interactive embodied learning, rearrangement, benchmarks, simulators, and more. The repository provides a comprehensive collection of resources for individuals interested in exploring the intersection of embodied agents and large language models.

Call Center AI is an AI-powered call center solution that leverages Azure and OpenAI GPT. It is a proof of concept demonstrating the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI to build an automated call center solution. The project showcases features like accessing claims on a public website, customer conversation history, language change during conversation, bot interaction via phone number, multiple voice tones, lexicon understanding, todo list creation, customizable prompts, content filtering, GPT-4 Turbo for customer requests, specific data schema for claims, documentation database access, SMS report sending, conversation resumption, and more. The system architecture includes components like RAG AI Search, SMS gateway, call gateway, moderation, Cosmos DB, event broker, GPT-4 Turbo, Redis cache, translation service, and more. The tool can be deployed remotely using GitHub Actions and locally with prerequisites like Azure environment setup, configuration file creation, and resource hosting. Advanced usage includes custom training data with AI Search, prompt customization, language customization, moderation level customization, claim data schema customization, OpenAI compatible model usage for the LLM, and Twilio integration for SMS.

The Slack Bot is a tool designed to enhance the workflow of development teams by integrating with Jenkins, GitHub, GitLab, and Jira. It allows for custom commands, macros, crons, and project-specific commands to be implemented easily. Users can interact with the bot through Slack messages, execute commands, and monitor job progress. The bot supports features like starting and monitoring Jenkins jobs, tracking pull requests, querying Jira information, creating buttons for interactions, generating images with DALL-E, playing quiz games, checking weather, defining custom commands, and more. Configuration is managed via YAML files, allowing users to set up credentials for external services, define custom commands, schedule cron jobs, and configure VCS systems like Bitbucket for automated branch lookup in Jenkins triggers.

Intel® Extension for Transformers is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms, including Intel Gaudi2, Intel CPU, and Intel GPU. The toolkit provides the below key features and examples: * Seamless user experience of model compressions on Transformer-based models by extending [Hugging Face transformers](https://github.com/huggingface/transformers) APIs and leveraging [Intel® Neural Compressor](https://github.com/intel/neural-compressor) * Advanced software optimizations and unique compression-aware runtime (released with NeurIPS 2022's paper [Fast Distilbert on CPUs](https://arxiv.org/abs/2211.07715) and [QuaLA-MiniLM: a Quantized Length Adaptive MiniLM](https://arxiv.org/abs/2210.17114), and NeurIPS 2021's paper [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754)) * Optimized Transformer-based model packages such as [Stable Diffusion](examples/huggingface/pytorch/text-to-image/deployment/stable_diffusion), [GPT-J-6B](examples/huggingface/pytorch/text-generation/deployment), [GPT-NEOX](examples/huggingface/pytorch/language-modeling/quantization#2-validated-model-list), [BLOOM-176B](examples/huggingface/pytorch/language-modeling/inference#BLOOM-176B), [T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), [Flan-T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), and end-to-end workflows such as [SetFit-based text classification](docs/tutorials/pytorch/text-classification/SetFit_model_compression_AGNews.ipynb) and [document level sentiment analysis (DLSA)](workflows/dlsa) * [NeuralChat](intel_extension_for_transformers/neural_chat), a customizable chatbot framework to create your own chatbot within minutes by leveraging a rich set of [plugins](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat/docs/advanced_features.md) such as [Knowledge Retrieval](./intel_extension_for_transformers/neural_chat/pipeline/plugins/retrieval/README.md), [Speech Interaction](./intel_extension_for_transformers/neural_chat/pipeline/plugins/audio/README.md), [Query Caching](./intel_extension_for_transformers/neural_chat/pipeline/plugins/caching/README.md), and [Security Guardrail](./intel_extension_for_transformers/neural_chat/pipeline/plugins/security/README.md). This framework supports Intel Gaudi2/CPU/GPU. * [Inference](https://github.com/intel/neural-speed/tree/main) of Large Language Model (LLM) in pure C/C++ with weight-only quantization kernels for Intel CPU and Intel GPU (TBD), supporting [GPT-NEOX](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox), [LLAMA](https://github.com/intel/neural-speed/tree/main/neural_speed/models/llama), [MPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/mpt), [FALCON](https://github.com/intel/neural-speed/tree/main/neural_speed/models/falcon), [BLOOM-7B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/bloom), [OPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/opt), [ChatGLM2-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/chatglm), [GPT-J-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptj), and [Dolly-v2-3B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox). Support AMX, VNNI, AVX512F and AVX2 instruction set. We've boosted the performance of Intel CPUs, with a particular focus on the 4th generation Intel Xeon Scalable processor, codenamed [Sapphire Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html).

LaVague is an open-source Large Action Model framework that uses advanced AI techniques to compile natural language instructions into browser automation code. It leverages Selenium or Playwright for browser actions. Users can interact with LaVague through an interactive Gradio interface to automate web interactions. The tool requires an OpenAI API key for default examples and offers a Playwright integration guide. Contributors can help by working on outlined tasks, submitting PRs, and engaging with the community on Discord. The project roadmap is available to track progress, but users should exercise caution when executing LLM-generated code using 'exec'.

Python-tgpt is a Python package that enables seamless interaction with over 45 free LLM providers without requiring an API key. It also provides image generation capabilities. The name _python-tgpt_ draws inspiration from its parent project tgpt, which operates on Golang. Through this Python adaptation, users can effortlessly engage with a number of free LLMs available, fostering a smoother AI interaction experience.

AICommit2 is a Reactive CLI tool that streamlines interactions with various AI providers such as OpenAI, Anthropic Claude, Gemini, Mistral AI, Cohere, and unofficial providers like Huggingface and Clova X. Users can request multiple AI simultaneously to generate git commit messages without waiting for all AI responses. The tool runs 'git diff' to grab code changes, sends them to configured AI, and returns the AI-generated commit message. Users can set API keys or Cookies for different providers and configure options like locale, generate number of messages, commit type, proxy, timeout, max-length, and more. AICommit2 can be used both locally with Ollama and remotely with supported providers, offering flexibility and efficiency in generating commit messages.

MINT benchmark aims to evaluate LLMs' ability to solve tasks with multi-turn interactions by (1) using tools and (2) leveraging natural language feedback.

LangWatch is a monitoring and analytics platform designed to track, visualize, and analyze interactions with Large Language Models (LLMs). It offers real-time telemetry to optimize LLM cost and latency, a user-friendly interface for deep insights into LLM behavior, user analytics for engagement metrics, detailed debugging capabilities, and guardrails to monitor LLM outputs for issues like PII leaks and toxic language. The platform supports OpenAI and LangChain integrations, simplifying the process of tracing LLM calls and generating API keys for usage. LangWatch also provides documentation for easy integration and self-hosting options for interested users.

chatgpt.js is a powerful JavaScript library that allows for super easy interaction w/ the ChatGPT DOM. * Feature-rich * Object-oriented * Easy-to-use * Lightweight (yet optimally performant)

Dot is a standalone, open-source application designed for seamless interaction with documents and files using local LLMs and Retrieval Augmented Generation (RAG). It is inspired by solutions like Nvidia's Chat with RTX, providing a user-friendly interface for those without a programming background. Pre-packaged with Mistral 7B, Dot ensures accessibility and simplicity right out of the box. Dot allows you to load multiple documents into an LLM and interact with them in a fully local environment. Supported document types include PDF, DOCX, PPTX, XLSX, and Markdown. Users can also engage with Big Dot for inquiries not directly related to their documents, similar to interacting with ChatGPT. Built with Electron JS, Dot encapsulates a comprehensive Python environment that includes all necessary libraries. The application leverages libraries such as FAISS for creating local vector stores, Langchain, llama.cpp & Huggingface for setting up conversation chains, and additional tools for document management and interaction.

Talk-To-ChatGPT is a Google Chrome and Microsoft Edge extension that enables users to interact with the ChatGPT AI using voice commands for speech recognition and text-to-speech responses. The tool enhances the conversational experience by allowing users to speak to the AI and receive spoken responses, making interactions more natural and engaging. It also supports ElevenLabs API integration for creating custom voices for text-to-speech. The extension provides settings for voice, language, and more, and can be installed from the Chrome and Edge web stores or manually. While the project has been discontinued due to upcoming desktop apps from OpenAI, it has been used to assist individuals with disabilities and the elderly in interacting with ChatGPT.

VMind is an open-source solution for intelligent visualization, providing an intelligent chart component based on LLM by VisActor. It allows users to create chart narrative works with natural language interaction, edit charts through dialogue, and export narratives as videos or GIFs. The tool is easy to use, scalable, supports various chart types, and offers one-click export functionality. Users can customize chart styles, specify themes, and aggregate data using LLM models. VMind aims to enhance efficiency in creating data visualization works through dialogue-based editing and natural language interaction.

AppAgent is a novel LLM-based multimodal agent framework designed to operate smartphone applications. Our framework enables the agent to operate smartphone applications through a simplified action space, mimicking human-like interactions such as tapping and swiping. This novel approach bypasses the need for system back-end access, thereby broadening its applicability across diverse apps. Central to our agent's functionality is its innovative learning method. The agent learns to navigate and use new apps either through autonomous exploration or by observing human demonstrations. This process generates a knowledge base that the agent refers to for executing complex tasks across different applications.

ExtractThinker is a library designed for extracting data from files and documents using Language Model Models (LLMs). It offers ORM-style interaction between files and LLMs, supporting multiple document loaders such as Tesseract OCR, Azure Form Recognizer, AWS TextExtract, and Google Document AI. Users can customize extraction using contract definitions, process documents asynchronously, handle various document formats efficiently, and split and process documents. The project is inspired by the LangChain ecosystem and focuses on Intelligent Document Processing (IDP) using LLMs to achieve high accuracy in document extraction tasks.

ShapeLLM is the first 3D Multimodal Large Language Model designed for embodied interaction, exploring a universal 3D object understanding with 3D point clouds and languages. It supports single-view colored point cloud input and introduces a robust 3D QA benchmark, 3D MM-Vet, encompassing various variants. The model extends the powerful point encoder architecture, ReCon++, achieving state-of-the-art performance across a range of representation learning tasks. ShapeLLM can be used for tasks such as training, zero-shot understanding, visual grounding, few-shot learning, and zero-shot learning on 3D MM-Vet.

LLM Guard is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). It offers sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, ensuring that your interactions with LLMs remain safe and secure.

The OpenAI Completion plugin for Sublime Text provides first-class code assistant support within the editor. It utilizes LLM models to manipulate code, engage in chat mode, and perform various tasks. The plugin supports OpenAI, llama.cpp, and ollama models, allowing users to customize their AI assistant experience. It offers separated chat histories and assistant settings for different projects, enabling context-specific interactions. Additionally, the plugin supports Markdown syntax with code language syntax highlighting, server-side streaming for faster response times, and proxy support for secure connections. Users can configure the plugin's settings to set their OpenAI API key, adjust assistant modes, and manage chat history. Overall, the OpenAI Completion plugin enhances the Sublime Text editor with powerful AI capabilities, streamlining coding workflows and fostering collaboration with AI assistants.

Helpful guide for GPT API integration and usage with GitHub integration

GitHub-integrated AI for coding assistance and project management.

Specializing in crafting cutting-edge web applications using Next.js, prioritizing responsive, accessible design and seamless GitHub Copilot integration.

Clear, brief GitHub aid, for you

Finds GitHub projects for solo devs focused on profit.

Gives structure to messy GitHub issues.

Expert assistant for GitHub queries and guidance.

Translates GitHub issues from Japanese to English.

Open Source Prompt: https://github.com/mleoca/Bash-Scripting-GPT

Generate your Github Readme

Updates on CVEs from GitHub repo in table format.

Give me a GitHub link or the name of a FOSS license. I'll tell you what you can and can't do. In bullet points and plain English.

专注匹配github各类代码,加以合成，支持用户API

Compile instructions from the web and github for bioinformatics applications. Receive line-by-line instructions and commands to get started

Expert at fetching repository information from GitHub, Hugging Face. and you local repositories

Your comic creation copilot (https://github.com/cadin/panels)

主动且直观的 Git 和 GitHub 中文学习助手。

Factual, clear guidance based on Microsoft Learn and GitHub Docs. Ask me about cloud native solutions, GitHub collaboration or certifications.

Your go-to awesome MacOS software assistant. https://github.com/jaywcjlove/awesome-mac/

A gpt expert at solving programming problems. We have open-sourced the prompt here: https://github.com/ai-boost/awesome-gpts-prompts (This GPT isn't perfect, let's improve it together! 😊🛠️)