Conar is an AI-powered open-source project designed to simplify database interactions. It is built for PostgreSQL with plans to support other databases in the future. Users can securely store their connections in the cloud and leverage AI assistance to write and optimize SQL queries. The project emphasizes security, multi-database support, and AI-powered features to enhance the database management experience. Conar is developed using React with TypeScript, Electron, and various other technologies to provide a comprehensive solution for database management.

AI Flow is an open-source, user-friendly UI application that empowers you to seamlessly connect multiple AI models together, specifically leveraging the capabilities of multiples AI APIs such as OpenAI, StabilityAI and Replicate. In a nutshell, AI Flow provides a visual platform for crafting and managing AI-driven workflows, thereby facilitating diverse and dynamic AI interactions.

Pipeshub-ai is a versatile tool for automating data pipelines in AI projects. It provides a user-friendly interface to design, deploy, and monitor complex data workflows, enabling seamless integration of various AI models and data sources. With Pipeshub-ai, users can easily create end-to-end pipelines for tasks such as data preprocessing, model training, and inference, streamlining the AI development process and improving productivity. The tool supports integration with popular AI frameworks and cloud services, making it suitable for both beginners and experienced AI practitioners.

This repository contains Refact WebUI for fine-tuning and self-hosting of code models, which can be used inside Refact plugins for code completion and chat. Users can fine-tune open-source code models, self-host them, download and upload Lloras, use models for code completion and chat inside Refact plugins, shard models, host multiple small models on one GPU, and connect GPT-models for chat using OpenAI and Anthropic keys. The repository provides a Docker container for running the self-hosted server and supports various models for completion, chat, and fine-tuning. Refact is free for individuals and small teams under the BSD-3-Clause license, with custom installation options available for GPU support. The community and support include contributing guidelines, GitHub issues for bugs, a community forum, Discord for chatting, and Twitter for product news and updates.

Solace Agent Mesh is an open-source framework designed for building event-driven multi-agent AI systems. It enables the creation of teams of AI agents with distinct skills and tools, facilitating communication and task delegation among agents. The framework is built on top of Solace AI Connector and Google's Agent Development Kit, providing a standardized communication layer for asynchronous, event-driven AI agent architecture. Solace Agent Mesh supports agent orchestration, flexible interfaces, extensibility, agent-to-agent communication, and dynamic embeds, making it suitable for developing complex AI applications with scalability and reliability.

Riona-AI-Agent is a versatile AI chatbot designed to assist users in various tasks. It utilizes natural language processing and machine learning algorithms to understand user queries and provide accurate responses. The chatbot can be integrated into websites, applications, and messaging platforms to enhance user experience and streamline communication. With its customizable features and easy deployment, Riona-AI-Agent is suitable for businesses, developers, and individuals looking to automate customer support, provide information, and engage with users in a conversational manner.

Weam is an open source platform designed to help teams systematically adopt AI. It provides a production-ready stack with Next.js frontend and Node.js/Python backend, allowing for immediate deployment and use. Weam connects to major LLM providers, enabling easy access to the latest AI models. The platform organizes AI interactions into 'Brains' for different departments, offering customization and expansion options. Features include chat system, productivity tools, sharing & access controls, prompt library, AI agents, RAG, MCP, enterprise features, pre-built automations, and upcoming AI app solutions. Weam is free, open source, and scalable to meet growing needs.

Cedar OS is an open-source framework that bridges the gap between AI agents and React applications, enabling the creation of AI-native applications where agents can interact with the application state like users. It focuses on providing intuitive and powerful ways for humans to interact with AI through features like full state integration, real-time streaming, voice-first design, and flexible architecture. Cedar OS offers production-ready chat components, agentic state management, context-aware mentions, voice integration, spells & quick actions, and fully customizable UI. It differentiates itself by offering a true AI-native architecture, developer-first experience, production-ready features, and extensibility. Built with TypeScript support, Cedar OS is designed for developers working on ambitious AI-native applications.

Replexica AI automates software localization end-to-end, producing authentic translations instantly across 60+ languages. Teams can do localization 100x faster with state-of-the-art quality, reaching more paying customers worldwide. The tool offers a GitHub Action for CI/CD automation and supports various formats like JSON, YAML, CSV, and Markdown. With lightning-fast AI localization, auto-updates, native quality translations, developer-friendly CLI, and scalability for startups and enterprise teams, Replexica is a top choice for efficient and effective software localization.

Open-WebUI-Functions is a collection of Python-based functions that extend Open WebUI with custom pipelines, filters, and integrations. Users can interact with AI models, process data efficiently, and customize the Open WebUI experience. It includes features like custom pipelines, data processing filters, Azure AI support, N8N workflow integration, flexible configuration, secure API key management, and support for both streaming and non-streaming processing. The functions require an active Open WebUI instance, may need external AI services like Azure AI, and admin access for installation. Security features include automatic encryption of sensitive information like API keys. Pipelines include Azure AI Foundry, N8N, Infomaniak, and Google Gemini. Filters like Time Token Tracker measure response time and token usage. Integrations with Azure AI, N8N, Infomaniak, and Google are supported. Contributions are welcome, and the project is licensed under Apache License 2.0.

TaskingAI brings Firebase's simplicity to **AI-native app development**. The platform enables the creation of GPTs-like multi-tenant applications using a wide range of LLMs from various providers. It features distinct, modular functions such as Inference, Retrieval, Assistant, and Tool, seamlessly integrated to enhance the development process. TaskingAI’s cohesive design ensures an efficient, intelligent, and user-friendly experience in AI application development.

Replexica is an i18n toolkit for React, to ship multi-language apps fast. It doesn't require extracting text into JSON files, and uses AI-powered API for content processing. It comes in two parts: 1. Replexica Compiler - an open-source compiler plugin for React; 2. Replexica API - an i18n API in the cloud that performs translations using LLMs. (Usage based, has a free tier.) Replexica supports several i18n formats: 1. JSON-free Replexica compiler format; 2. .md files for Markdown content; 3. Legacy JSON and YAML-based formats.

ADK-TS is a comprehensive TypeScript framework for building sophisticated AI agents with multi-LLM support, advanced tools, and flexible conversation flows. It is production-ready and enables developers to create intelligent, autonomous systems that can handle complex multi-step tasks. The framework provides features such as multi-provider LLM support, extensible tool system, advanced agent reasoning, real-time streaming, flexible authentication, persistent memory systems, multi-agent orchestration, built-in telemetry, and prebuilt MCP servers for easy deployment and management of agents.

Kestra is an open-source event-driven orchestration platform that simplifies building scheduled and event-driven workflows. It offers Infrastructure as Code best practices for data, process, and microservice orchestration, allowing users to create reliable workflows using YAML configuration. Key features include everything as code with Git integration, event-driven and scheduled workflows, rich plugin ecosystem for data extraction and script running, intuitive UI with syntax highlighting, scalability for millions of workflows, version control friendly, and various features for structure and resilience. Kestra ensures declarative orchestration logic management even when workflows are modified via UI, API calls, or other methods.

Kaizen is an open-source project that helps teams ensure quality in their software delivery by providing a suite of tools for code review, test generation, and end-to-end testing. It integrates with your existing code repositories and workflows, allowing you to streamline your software development process. Kaizen generates comprehensive end-to-end tests, provides UI testing and review, and automates code review with insightful feedback. The file structure includes components for API server, logic, actors, generators, LLM integrations, documentation, and sample code. Getting started involves installing the Kaizen package, generating tests for websites, and executing tests. The tool also runs an API server for GitHub App actions. Contributions are welcome under the AGPL License.

CushyStudio is a generative AI platform designed for creatives of any level to effortlessly create stunning images, videos, and 3D models. It offers CushyApps, a collection of visual tools tailored for different artistic tasks, and CushyKit, an extensive toolkit for custom apps development and task automation. Users can dive into the AI revolution, unleash their creativity, share projects, and connect with a vibrant community. The platform aims to simplify the AI art creation process and provide a user-friendly environment for designing interfaces, adding custom logic, and accessing various tools.

Conar is an AI-powered open-source project designed to simplify database interactions. It is built for PostgreSQL with plans to support other databases in the future. Users can securely store their connections in the cloud and leverage AI assistance to write and optimize SQL queries. The project emphasizes security, multi-database support, and AI-powered features to enhance the database management experience. Conar is developed using React with TypeScript, Electron, and various other technologies to provide a comprehensive solution for database management.

MCPHost is a CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP). It acts as a host in the MCP client-server architecture, allowing language models to access external tools and data sources, maintain consistent context across interactions, and execute commands safely. The tool supports interactive conversations with Claude 3.5 Sonnet and Ollama models, multiple concurrent MCP servers, dynamic tool discovery and integration, configurable server locations and arguments, and a consistent command interface across model types.

zig-aio is a library that provides an io_uring-like asynchronous API and coroutine-powered IO tasks for the Zig programming language. It offers support for different operating systems and backends, such as io_uring, iocp, and posix. The library aims to provide efficient IO operations by leveraging coroutines and async IO mechanisms. Users can create servers and clients with ease using the provided API functions for socket operations, sending and receiving data, and managing connections.

This project implements a Model Context Protocol (MCP) integration between Cursor AI and Figma, allowing Cursor to communicate with Figma for reading designs and modifying them programmatically. It provides tools for interacting with Figma such as creating elements, modifying text content, styling, layout & organization, components & styles, export & advanced features, and connection management. The project structure includes a TypeScript MCP server for Figma integration, a Figma plugin for communicating with Cursor, and a WebSocket server for facilitating communication between the MCP server and Figma plugin.

Laravel Slower is a powerful package designed for Laravel developers to optimize the performance of their applications by identifying slow database queries and providing AI-driven suggestions for optimal indexing strategies and performance improvements. It offers actionable insights for debugging and monitoring database interactions, enhancing efficiency and scalability.

The 'awesome-ai4db-paper' repository is a curated paper list focusing on AI for database (AI4DB) theory, frameworks, resources, and tools for data engineers. It includes a collection of research papers related to learning-based query optimization, training data set preparation, cardinality estimation, query-driven approaches, data-driven techniques, hybrid methods, pretraining models, plan hints, cost models, SQL embedding, join order optimization, query rewriting, end-to-end systems, text-to-SQL conversion, traditional database technologies, storage solutions, learning-based index design, and a learning-based configuration advisor. The repository aims to provide a comprehensive resource for individuals interested in AI applications in the field of database management.

Buster is a modern analytics platform designed with AI in mind, focusing on self-serve experiences powered by Large Language Models. It addresses pain points in existing tools by advocating for AI-centric app development, cost-effective data warehousing, improved CI/CD processes, and empowering data teams to create powerful, user-friendly data experiences. The platform aims to revolutionize AI analytics by enabling data teams to build deep integrations and own their entire analytics stack.

Code Assistant is an AI coding tool built in Rust that offers command-line and graphical interfaces for autonomous code analysis and modification. It supports multi-modal tool execution, real-time streaming interface, session-based project management, multiple interface options, and intelligent project exploration. The tool provides auto-loaded repository guidance and allows for project configuration with format-on-save feature. Users can interact with the tool in GUI, terminal, or MCP server mode, and configure LLM providers for advanced options. The architecture highlights adaptive tool syntax, smart tool filtering, and multi-threaded streaming for efficient performance. Contributions are welcome, and the roadmap includes features like block replacing in changed files, compact tool use failures, UI improvements, memory tools, security enhancements, fuzzy matching search blocks, editing user messages, and selecting in messages.

Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.