Search Results for "ai"
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Showing 3847 open source projects for "ai"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Yeastar: Business Phone System and Unified CommunicationsUser-friendly, optimized, and scalable, the Yeastar P-Series Phone System redefines business connectivity by bringing together calling, meetings, omnichannel messaging, and integrations in one simple platform—removing the limitations of distance, platforms, and systems.
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AI Runner
Offline inference engine for art, real-time voice conversations
AI Runner is an offline inference engine designed to run a collection of AI workloads on your own machine, including image generation for art, real-time voice conversations, LLM-powered chatbots and automated workflows. It is implemented as a desktop-oriented Python application and emphasizes privacy and self-hosting, allowing users to work with text-to-speech, speech-to-text, text-to-image and multimodal models without sending data to external services. -
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Tribe AI
Low code tool to rapidly build and coordinate multi-agent teams
Low code tool to rapidly build and coordinate multi-agent teams. Have you heard the saying, 'Two minds are better than one'? That's true for agents too. Tribe leverages on the langgraph framework to let you customize and coordinate teams of agents easily. By splitting up tough tasks among agents who are good at different things, each one can focus on what it does best. This makes solving problems faster and better. -
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LSP-AI
LSP-AI is an open-source language server
LSP-AI is an open source language server that serves as a backend for AI-powered functionality in your favorite code editors. It offers features like in-editor chatting with LLMs and code completions. Because it is a language server, it works with any editor that has LSP support. -
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Luna AI
Virtual AI anchor that combines state-of-the-art technology
Luna AI is a virtual AI streamer framework designed to power an interactive VTuber that can go live on major platforms and chat with viewers in real time. It is built around a core assistant persona called “Luna AI,” which can be driven by a wide range of large language models and platforms, including GPT-style APIs, Claude, LangChain-based backends, ChatGLM, Kimi, Ollama, and many others. -
The CI/CD Platform built for Mobile DevOpsSave time, money, and developer frustration with fast, flexible, and scalable mobile CI/CD that just works. Whether you swear by native or would rather go cross-platform, we have you covered. From Swift to Objective-C, Java to Kotlin, as well as Xamarin, Cordova, Ionic, React Native, and Flutter: Whatever you choose, we will automatically configure your initial workflows and have you building in minutes.
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AI-Flow
UI application to connect multiple AI models together
Open-source tool to seamlessly connect multiple AI models in repeatable flow. While a live demo is available for convenience, for the best experience we recommend running the application directly on your local machine. 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 ChatGPT. -
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OpenWork AI
An open-source alternative to Claude Cowork, powered by opencode
OpenWork is a framework for building decentralized collaborative work environments powered by AI and human contributions. At its core, the project enables contributors to define tasks, workflows, and goals that can be split, shared, and recombined across distributed nodes while agents and humans cooperate to advance progress. It offers structured templates for work items, decision logic for task allocation, and consensus mechanisms that let groups verify and validate results toward shared objectives. ... -
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Gateway AI
The only fully local production-grade Super SDK
Adaline Gateway is a fully local, production-grade Super SDK that provides a simple, unified, and powerful interface for calling more than 200+ large language models (LLMs). -
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Lepton AI
A Pythonic framework to simplify AI service building
A Pythonic framework to simplify AI service building. Cutting-edge AI inference and training, unmatched cloud-native experience, and top-tier GPU infrastructure. Ensure 99.9% uptime with comprehensive health checks and automatic repairs. -
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lightning AI
The most intuitive, flexible, way for researchers to build models
Build in days not months with the most intuitive, flexible framework for building models and Lightning Apps (ie: ML workflow templates) which "glue" together your favorite ML lifecycle tools. Build models and build/publish end-to-end ML workflows that "glue" your favorite tools together. Models are “easy”, the “glue” work is hard. Lightning Apps are community-built templates that stitch together your favorite ML lifecycle tools into cohesive ML workflows that can run on your laptop or any... -
Workable Hiring Software - Hire The Best People, FastWorkable is the preferred software for today's recruiting industry and HR teams, trusted by over 6,000 companies to streamline their hiring processes. Finding the right person for the job has never been easier—users now possess the ability to manage multiple hiring pipelines at once, from posting a job to sourcing candidates. Workable is also seamlessly integrated between desktop and mobile, allowing admins full control and flexibility all in the ATS without needing additional software.
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Arcade AI
Arcade Tool Development Kit (TDK), Worker, Evals, and CLI
Arcade AI Platform is a developer-oriented toolkit for building, deploying, and managing tools tailored to AI agents, structured as modular Python packages for flexibility and extensibility. Core platform functionality and schemas. This repository contains the core Arcade libraries, organized as separate packages for maximum flexibility and modularity. -
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Matter AI
Matter AI is open-source AI Code Reviewer Agent
Matter AI is an AI-powered platform designed to enhance productivity through automated content generation, data analysis, and decision support. It leverages machine learning models to process text, analyze patterns, and generate insights, making it suitable for businesses looking to optimize data-driven decision-making. Matter AI integrates with various data sources and provides customizable AI workflows tailored to different industries. -
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Genie AI
Your best AI pair programmer in VS Code
Your best AI pair programmer. Save conversations and continue any time. A Visual Studio Code - ChatGPT Integration. Supports, GPT-4o GPT-4 Turbo, GPT3.5 Turbo, GPT3, and Codex models. Create new files, and view diffs with one click; your copilot to learn code, add tests, find bugs, and more. -
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XiaoZhi AI Chatbot
Build your own AI friend
xiaozhi-esp32 is an open-source project that guides users in building their own AI-powered conversational companion using the ESP32 microcontroller. The project provides detailed instructions on assembling the hardware, setting up the software, and integrating AI models to enable natural language interactions. This DIY approach offers an accessible entry point into AI and hardware development. -
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AI Researcher
An autonomous AI researcher
AI Researcher is an experimental open-source project that demonstrates how multiple AI agents can collaborate to conduct complex research tasks from start to finish with minimal human intervention. It orchestrates agents that can generate research questions, perform literature reviews, execute experiments, analyze results, and synthesize findings into structured outputs like reports or code. -
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Generative AI
Sample code and notebooks for Generative AI on Google Cloud
Generative AI is a comprehensive collection of code samples, notebooks, and demo applications designed to help developers build generative-AI workflows on the Vertex AI platform. It spans multiple modalities—text, image, audio, search (RAG/grounding) and more—showing how to integrate foundation models like the Gemini family into cloud projects. -
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CAMEL AI
Finding the Scaling Law of Agents. A multi-agent framework
The rapid advancement of conversational and chat-based language models has led to remarkable progress in complex task-solving. However, their success heavily relies on human input to guide the conversation, which can be challenging and time-consuming. This paper explores the potential of building scalable techniques to facilitate autonomous cooperation among communicative agents and provide insight into their "cognitive" processes. To address the challenges of achieving autonomous... -
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AiToEarn
Let's use AI to Earn
AiToEarn is an open-source, AI-powered platform designed to help creators, brands, and businesses automate the entire content marketing lifecycle, from ideation and production to distribution and monetization. It aims to be a unified solution where users can generate content, tailor it for multiple platforms, and publish it across social networks with minimal manual effort. -
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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
...Trellis also includes tooling for monitoring, scheduling, and tracing the execution of complex multi-step jobs, helping teams maintain visibility into how work progresses and where bottlenecks emerge. The platform can integrate with external services, databases, and model endpoints, making it suitable for automation, ETL pipelines, AI-driven processes, and business logic orchestration. -
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Klavis AI
MCP integration platforms for AI agents to use tools at any scale
Klavis AI is a Y Combinator X25-backed open-source infrastructure platform that enables AI agents to reliably connect with external tools and services at scale through Model Context Protocol (MCP). Founded by ex-Google DeepMind and ex-Lyft engineers, Klavis provides 50+ production-ready MCP servers with enterprise OAuth support for GitHub, Slack, Gmail, Salesforce, Linear, Notion, and more. -
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Pruna AI
Pruna is a model optimization framework built for developers
...It is ideal for companies or teams looking to reduce reliance on external APIs while maintaining speed, cost-efficiency, and full control over their data and AI stack. With a focus on extensibility and observability, Pruna empowers engineers to scale LLM applications from prototype to production securely and reliably. -
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TorchMetrics AI
Machine learning metrics for distributed, scalable PyTorch application
TorchMetrics is a collection of 100+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. -
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Alan AI
In-App assistant SDK to build a multimodal conversational UX websites
Quickly add voice to your app with the Alan Platform. Create an in-app voice assistant to enable human-like conversations and provide a personalized voice experience for every user. Alan is a conversational voice AI platform that lets you create an intelligent voice assistant for your app. It offers all the necessary tools to design, embed, and host your voice solutions. A powerful web-based IDE where you can write, test and debug dialog scenarios for your voice assistant or chatbot. Alan's AI-backend powered by the industry’s best Automatic Speech Recognition (ASR), Natural Language Understanding (NLU) and Speech Synthesis. ... -
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AI Employe
Create browser automation as if you were teaching a human using GPT-4
Try without Firebase authentication (temporary solution). Our stack consists of Next.js, Rust, Postgres, MeiliSearch, and Firebase Auth for authentication. Please sign up for a Firebase account and create a project. There are several techniques for this, ranging from sending a shortened form of HTML to GPT-3, creating a bounding box with IDs and sending it to GPT-4-vision to take actions, or directly asking GPT-4-vision to obtain the X and Y coordinates of the element. However, none of these... -
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Ludwig AI
Low-code framework for building custom LLMs, neural networks
Declarative deep learning framework built for scale and efficiency. Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. ... -
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Colossal-AI
Making large AI models cheaper, faster and more accessible
...There is an urgent demand to train models in a distributed environment. However, distributed training, especially model parallelism, often requires domain expertise in computer systems and architecture. It remains a challenge for AI researchers to implement complex distributed training solutions for their models. Colossal-AI provides a collection of parallel components for you. We aim to support you to write your distributed deep learning models just like how you write your model on your laptop.