Best AI tools for< Pull Models >

Elessar is an AI-powered platform designed to enhance engineering productivity by providing automatic documentation, reporting, and visibility for development teams. It seamlessly integrates with existing ecosystems, generates pull request changelogs, automates Notion documentation, offers Slack bot functionality, provides VS Code extension for easy code understanding, and links with Linear for issue tracking. Elessar ensures data privacy and security by following SOC II compliant policies and encrypting data at rest and in transit. It does not use data for training AI models. With Elessar, organizations can streamline communication, improve visibility, and boost productivity.

What The Diff is an AI-powered code review assistant that helps you to write pull request descriptions, send out summarized notifications, and refactor minor issues during the review. It uses natural language processing to understand the changes in your code and generate clear and concise descriptions. What The Diff also provides rich summary notifications that are easy for non-technical stakeholders to understand, and it can generate beautiful changelogs that you can share with your team or the public.

TextUnbox is an AI-powered tool that allows users to extract text from images, generate images from text descriptions, translate text, remove image backgrounds, and more. It supports over 20 languages and can be used in the browser or integrated into custom solutions using its REST API.

CodeRabbit is an innovative AI code review platform that streamlines and enhances the development process. By automating reviews, it dramatically improves code quality while saving valuable time for developers. The system offers detailed, line-by-line analysis, providing actionable insights and suggestions to optimize code efficiency and reliability. Trusted by hundreds of organizations and thousands of developers daily, CodeRabbit has processed millions of pull requests. Backed by CRV, CodeRabbit continues to revolutionize the landscape of AI-assisted software development.

Tusk is an AI-powered tool designed to help prevent bugs caused by edge cases in software development. It generates unit and integration tests with codebase context, suggesting test cases by reading the codebase and documentation. Tusk seamlessly integrates into the workflow, sitting within GitHub and CI/CD pipelines. It offers features such as mock services, user-centric interface design, personalization, integration with third-party APIs, and scalable architecture for high performance.

PYQ is an AI-powered platform that helps businesses automate document-related tasks, such as data extraction, form filling, and system integration. It uses natural language processing (NLP) and machine learning (ML) to understand the content of documents and perform tasks accordingly. PYQ's platform is designed to be easy to use, with pre-built automations for common use cases. It also offers custom automation development services for more complex needs.

Coursable is an AI-powered student workspace designed to enhance learning experiences. It leverages artificial intelligence to provide personalized study recommendations, track progress, and offer interactive learning tools. With Coursable, students can access a virtual study companion that adapts to their learning style and pace, making studying more efficient and engaging. The platform aims to revolutionize traditional learning methods by incorporating AI technology to support students in achieving their academic goals.

Korbit is an AI-powered code review tool that helps developers write better code, faster. It integrates directly into your GitHub PR workflow and provides instant feedback on your code, identifying issues and providing actionable recommendations. Korbit also provides valuable insights into code quality, project status, and developer performance, helping you to boost your productivity and elevate your code.

Superjoin is an AI-powered tool that allows users to automatically pull data from various tools into Google Sheets without the need for writing any code. It offers features like one-click connectors, auto-refresh schedules, data preview, and the ability to send report screenshots to Slack and Email. Superjoin is loved by thousands of users across hundreds of companies for its efficiency in automating workflows and data management.

Maverick is an incremental layer of automated code review tool designed for GitHub pull requests. It helps catch small issues that may go unnoticed during manual code reviews. The tool is 100% free and provides feedback via GitHub review comments.

Gitya is an AI-powered GitHub assistant designed to streamline your GitHub workflow by automating minor tasks and enhancing productivity. With features like GitHub App integration, AI-enhanced automation, PR management, and ticket automation, Gitya aims to help users spend less time on busywork and more time on high-impact engineering tasks. Users have praised Gitya for its ability to reduce time spent on bug fixes and PR management, ultimately leading to increased project efficiency and success.

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.

GPTConsole is an AI-powered platform that helps developers build production-ready applications faster and more efficiently. Its AI agents can generate code for a variety of applications, including web applications, AI applications, and landing pages. GPTConsole also offers a range of features to help developers build and maintain their applications, including an AI agent that can learn your entire codebase and answer your questions, and a CLI tool for accessing agents directly from the command line.

SellScale is an AI-powered prospecting tool designed to assist revenue organizations in launching campaigns, engaging with prospects, and obtaining feedback on products. It helps users in setting up conference meetings, launching new products, and reaching out to potential customers effectively. The tool is built with design partners and customers, offering features such as quickly launching campaigns based on recent news, gearing up for product launches, getting feedback from early adopters, and personalizing outreach messages using AI technology. SellScale aims to ensure proper deliverability of emails, enable users to pull contacts from various data providers, and enhance messaging to resonate with the target audience.

Trag is an AI-powered tool designed to review pull requests in minutes, empowering engineering teams to save time and focus on building products. With Trag, users can create custom patterns for code review, ensuring best practices are followed and bugs are caught early. The tool offers features like autofix with AI, monitoring progress, connecting multiple repositories, pull request review, analytics, and team workspaces. Trag stands out from traditional linters by providing complex code understanding, semantic code analysis, predictive bug detection, and refactoring suggestions. It aims to streamline code reviews and help teams ship faster with AI-powered reviews.

OSS Insight is an AI tool that provides deep insight into developers and repositories on GitHub, offering information about stars, pull requests, issues, pushes, comments, and reviews. It utilizes artificial intelligence to analyze data and provide valuable insights to users. The tool ranks repositories, tracks trending repositories, and offers real-time information about GitHub events. Additionally, it offers features like data exploration, collections, live blog, API integration, and widgets.

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 execution through a dashboard. Maige leverages AI capabilities to label, assign, comment, review code, and execute simple code snippets, all while being customizable and flexible with the GitHub API.

ChainAware.ai is an AI-powered blockchain super tool designed for both users and businesses. It offers a range of features such as Wallet Auditor, Fraud Detector, and Rug Pull Detector to enhance security and trust in blockchain transactions. The tool provides predictive AI capabilities to prevent fraud and identify potential risks before they occur. Additionally, it offers business solutions including account-based user acquisition, web3 user analytics, and crypto fraud detection with AI. ChainAware.ai aims to revolutionize the way users interact with blockchain technology by providing advanced tools and services powered by artificial intelligence.

Simplescraper is a web scraping tool that allows users to extract data from any website in seconds. It offers the ability to download data instantly, scrape at scale in the cloud, or create APIs without the need for coding. The tool is designed for developers and no-coders, making web scraping simple and efficient. Simplescraper AI Enhance provides a new way to pull insights from web data, allowing users to summarize, analyze, format, and understand extracted data using AI technology.

Outset is an AI-powered research platform that enables users to conduct and synthesize video, audio, and text conversations with hundreds of participants at once. It uses AI to moderate conversations, identify common themes, tag relevant conversations, and pull out powerful quotes. Outset is designed to help researchers understand the 'why' behind answers and gain deeper insights into the people they serve.

OllamaSharp is a .NET binding for the Ollama API, providing an intuitive API client to interact with Ollama. It offers support for all Ollama API endpoints, real-time streaming, progress reporting, and an API console for remote management. Users can easily set up the client, list models, pull models with progress feedback, stream completions, and build interactive chats. The project includes a demo console for exploring and managing the Ollama host.

AudioNotes is a system built on FunASR and Qwen2 that can quickly extract content from audio and video, and organize it using large models into structured markdown notes for easy reading. Users can interact with the audio and video content, install Ollama, pull models, and deploy services using Docker or locally with a PostgreSQL database. The system provides a seamless way to convert audio and video into structured notes for efficient consumption.

Cortex is a C++ AI engine with a Docker-like command-line interface and client libraries. It supports running AI models using ONNX, TensorRT-LLM, and llama.cpp engines. Cortex can function as a standalone server or be integrated as a library. The tool provides support for various engines and models, allowing users to easily deploy and interact with AI models. It offers a range of CLI commands for managing models, embeddings, and engines, as well as a REST API for interacting with models. Cortex is designed to simplify the deployment and usage of AI models in C++ applications.

Local Multimodal AI Chat is a multimodal chat application that integrates various AI models to manage audio, images, and PDFs seamlessly within a single interface. It offers local model processing with Ollama for data privacy, integration with OpenAI API for broader AI capabilities, audio chatting with Whisper AI for accurate voice interpretation, and PDF chatting with Chroma DB for efficient PDF interactions. The application is designed for AI enthusiasts and developers seeking a comprehensive solution for multimodal AI technologies.

This web interface provides a user-friendly and feature-rich platform for interacting with Ollama Large Language Models (LLMs). It offers a beautiful and intuitive UI inspired by ChatGPT, making it easy for users to get started with LLMs. The interface is fully local, storing chats in local storage for convenience, and fully responsive, allowing users to chat on their phones with the same ease as on a desktop. It features easy setup, code syntax highlighting, and the ability to easily copy codeblocks. Users can also download, pull, and delete models directly from the interface, and switch between models quickly. Chat history is saved and easily accessible, and users can choose between light and dark mode. To use the web interface, users must have Ollama downloaded and running, and Node.js (18+) and npm installed. Installation instructions are provided for running the interface locally. Upcoming features include the ability to send images in prompts, regenerate responses, import and export chats, and add voice input support.

LLocal is an Electron application focused on providing a seamless and privacy-driven chatting experience using open-sourced technologies, particularly open-sourced LLM's. It allows users to store chats locally, switch between models, pull new models, upload images, perform web searches, and render responses as markdown. The tool also offers multiple themes, seamless integration with Ollama, and upcoming features like chat with images, web search improvements, retrieval augmented generation, multiple PDF chat, text to speech models, community wallpapers, lofi music, speech to text, and more. LLocal's builds are currently unsigned, requiring manual builds or using the universal build for stability.

PyOllaMx is a chatbot application that serves as a gateway to both Ollama and Apple MlX models. It allows users to chat with these models through a native MacOS interface, eliminating the need for external applications like Bing or Chat-GPT. The tool provides a versatile and user-friendly experience for interacting with different models, enabling tasks such as model discovery, model management, chatting, and web searching. PyOllaMx simplifies the workflow for users who want to leverage Ollama and MlX models on their Mac devices.

OpenLLM is a platform that helps developers run any open-source Large Language Models (LLMs) as OpenAI-compatible API endpoints, locally and in the cloud. It supports a wide range of LLMs, provides state-of-the-art serving and inference performance, and simplifies cloud deployment via BentoML. Users can fine-tune, serve, deploy, and monitor any LLMs with ease using OpenLLM. The platform also supports various quantization techniques, serving fine-tuning layers, and multiple runtime implementations. OpenLLM seamlessly integrates with other tools like OpenAI Compatible Endpoints, LlamaIndex, LangChain, and Transformers Agents. It offers deployment options through Docker containers, BentoCloud, and provides a community for collaboration and contributions.

The 'Free LLM API resources' repository provides a comprehensive list of services offering free access or credits for API-based LLM usage. It includes various providers with details on model names, limits, and notes. Users can find information on legitimate services and their respective usage restrictions to leverage LLM capabilities without incurring costs. The repository aims to assist developers and researchers in accessing AI models for experimentation, development, and learning purposes.

Siri LLama is an Apple shortcut that allows users to access locally running LLMs through Siri or the shortcut UI on any Apple device connected to the same network as the host machine. It utilizes Langchain and supports open source models from Ollama or Fireworks AI. Users can easily set up and configure the tool to interact with various language models for chat and multimodal tasks. The tool provides a convenient way to leverage the power of language models through Siri or the shortcut interface, enhancing user experience and productivity.

Heat is an open source native iOS and macOS client for interacting with the most popular LLM services. A sister project, Swift GenKit, attempts to abstract away all the differences across each service including OpenAI, Mistral, Perplexity, Anthropic and all the models available with Ollama which you can run locally.

Nitro is a high-efficiency C++ inference engine for edge computing, powering Jan. It is lightweight and embeddable, ideal for product integration. The binary of nitro after zipped is only ~3mb in size with none to minimal dependencies (if you use a GPU need CUDA for example) make it desirable for any edge/server deployment.

ModelScope-Agent is a customizable and scalable Agent framework. A single agent has abilities such as role-playing, LLM calling, tool usage, planning, and memory. It mainly has the following characteristics: - **Simple Agent Implementation Process**: Simply specify the role instruction, LLM name, and tool name list to implement an Agent application. The framework automatically arranges workflows for tool usage, planning, and memory. - **Rich models and tools**: The framework is equipped with rich LLM interfaces, such as Dashscope and Modelscope model interfaces, OpenAI model interfaces, etc. Built in rich tools, such as **code interpreter**, **weather query**, **text to image**, **web browsing**, etc., make it easy to customize exclusive agents. - **Unified interface and high scalability**: The framework has clear tools and LLM registration mechanism, making it convenient for users to expand more diverse Agent applications. - **Low coupling**: Developers can easily use built-in tools, LLM, memory, and other components without the need to bind higher-level agents.

Xorbits Inference (Xinference) is a powerful and versatile library designed to serve language, speech recognition, and multimodal models. With Xorbits Inference, you can effortlessly deploy and serve your or state-of-the-art built-in models using just a single command. Whether you are a researcher, developer, or data scientist, Xorbits Inference empowers you to unleash the full potential of cutting-edge AI models.

Gollama is a tool designed for managing Ollama models through a Text User Interface (TUI). Users can list, inspect, delete, copy, and push Ollama models, as well as link them to LM Studio. The application offers interactive model selection, sorting by various criteria, and actions using hotkeys. It provides features like sorting and filtering capabilities, displaying model metadata, model linking, copying, pushing, and more. Gollama aims to be user-friendly and useful for managing models, especially for cleaning up old models.

OpenUI is a tool designed to simplify the process of building UI components by allowing users to describe UI using their imagination and see it rendered live. It supports converting HTML to React, Svelte, Web Components, etc. The tool is open source and aims to make UI development fun, fast, and flexible. It integrates with various AI services like OpenAI, Groq, Gemini, Anthropic, Cohere, and Mistral, providing users with the flexibility to use different models. OpenUI also supports LiteLLM for connecting to various LLM services and allows users to create custom proxy configs. The tool can be run locally using Docker or Python, and it offers a development environment for quick setup and testing.

KWeaver is an open-source cognitive intelligence development framework that provides data scientists, application developers, and domain experts with the ability for rapid development, comprehensive openness, and high-performance knowledge network generation and cognitive intelligence large model framework. It offers features such as automated and visual knowledge graph construction, visualization and analysis of knowledge graph data, knowledge graph integration, knowledge graph resource management, large model prompt engineering and debugging, and visual configuration for large model access.

AIOS, a Large Language Model (LLM) Agent operating system, embeds large language model into Operating Systems (OS) as the brain of the OS, enabling an operating system "with soul" -- an important step towards AGI. AIOS is designed to optimize resource allocation, facilitate context switch across agents, enable concurrent execution of agents, provide tool service for agents, maintain access control for agents, and provide a rich set of toolkits for LLM Agent developers.

This repository contains a curated list of papers focusing on the self-correction of large language models (LLMs) during inference. It covers various frameworks for self-correction, including intrinsic self-correction, self-correction with external tools, self-correction with information retrieval, and self-correction with training designed specifically for self-correction. The list includes survey papers, negative results, and frameworks utilizing reinforcement learning and OpenAI o1-like approaches. Contributions are welcome through pull requests following a specific format.

This repository contains a curated list of **papers using Large Language/Multi-Modal Models for Robotics/RL**. Template from awesome-Implicit-NeRF-Robotics Please feel free to send me pull requests or email to add papers! If you find this repository useful, please consider citing and STARing this list. Feel free to share this list with others! ## Overview * Surveys * Reasoning * Planning * Manipulation * Instructions and Navigation * Simulation Frameworks * Citation

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