Search Results for "work"
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Showing 45 open source projects for "work"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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Odysseus
Self-hosted AI workspace from PewDiePie
...The project emphasizes local-first and privacy-first operation, with no telemetry by default. It is built for users who want a personal AI environment rather than a fully hosted commercial assistant. Odysseus can work with local models while still leaving room for external API use when the user chooses. It is especially useful for developers, researchers, and privacy-conscious users who want to consolidate AI work into one self-managed workspace. -
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Upscayl
Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
...Upscayl is a cross-platform application built with the Linux-first philosophy. This means that we prioritize Linux builds over others but that doesn't mean we'll break things for other OSes. Upscayl does not work without a GPU, sorry. You'll need a Vulkan-compatible GPU to upscale images. CPU or iGPU won't work. You can also download the flatpak version and double-click the flatpak file to install via Store but wait for the full release, we'll be pushing it to Flathub for easy access. Upscayl uses AI models to enhance your images by guessing what the details could be. ... -
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SwarmUI
Modular AI image and video generation web UI with extensible tools
...It integrates with underlying systems like node-based workflows, enabling flexible and customizable pipelines for complex generation tasks. SwarmUI also emphasizes scalability, originally inspired by the idea of coordinating multiple GPUs to work together for large batch or grid-based image generation. SwarmUI includes a variety of built-in tools such as image editing, prompt handling, and automation features. -
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NSFWJS
Client-side indecent content checking powered by TensorFlow.js
...It is powered by TensorFlow.js and the NSFW detection model, and delivers around 90% accuracy that is improving each time. NSFWJS classifies images with percentages under five categories, namely: drawing and neutral, which are both safe for work; sexy, which includes sexually explicit images; and hentai and porn, which are pornographic drawings and images. NSFWJS offers a 'browserified' version, an NSFW filter web extension that filters out NSFW images from your browser, and also has a separate React Native app. -
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Open-LLM-VTuber
Open source AI VTuber platform with voice chat and Live2D avatars
...It can run locally and supports both offline and online AI services, giving users flexibility in how models and resources are used. Open-LLM-VTuber was originally inspired by the goal of recreating an AI VTuber experience using open source tools that work across multiple operating systems. -
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Machine Learning Systems
Introduction to Machine Learning Systems
Machine Learning Systems is an open educational repository that serves as the source and learning stack for the Machine Learning Systems textbook, a project focused on teaching how to engineer AI systems that work reliably in real-world environments. Rather than concentrating only on model training, the material emphasizes the broader discipline of AI engineering, covering efficiency, reliability, deployment, and evaluation across the full lifecycle of intelligent systems. The repository includes textbook content, supporting labs, and companion tools such as TinyTorch to help learners move from theory to hands-on experimentation. ... -
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civitai
Open platform for sharing and discovering Stable Diffusion models
...Civitai encourages collaboration by allowing users to publish their models, explore models created by others, and learn from the techniques used in the community. It also supports user accounts, model browsing, and interaction features that help creators showcase their work and receive feedback from other users. Developers can deploy the project to run their own instance of the platform and integrate with its available API to retrieve models. -
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MCP JetBrains
A model context protocol server to work with JetBrains IDEs
The JetBrains MCP Server is a Model Context Protocol (MCP) server designed to integrate seamlessly with JetBrains IDEs such as IntelliJ, PyCharm, WebStorm, and Android Studio. It facilitates enhanced communication between Large Language Models (LLMs) and the development environment, enabling AI-driven code assistance and automation. -
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HumanLayer
Open source IDE for orchestrating AI coding agents in large codebases
...HumanLayer introduces advanced context management techniques that help AI agents understand large repositories and operate effectively across multiple tasks. It also supports collaborative workflows where developers and AI agents can work together with human oversight and control. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Loop Library
A library of practical AI-agent loops and an installable skill
...The repository contains both a public loop library website and the Loopy skill that agents can use to discover, audit, adapt, run, and prepare loops. It helps turn open-ended prompts into measurable workflows with evidence, stopping criteria, and human approval points. The skill can work with agent environments such as Codex, Cursor, and Claude Code through the Skills CLI. Overall, it is useful for teams that want safer, reusable, and more reliable agent workflows instead of one-off prompting. -
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Taskmaster
An AI-powered task-management system
...The project can be integrated into environments such as Cursor, Windsurf, and other AI coding tools to help structure, track, and execute development tasks more effectively. It uses structured task formats and orchestration logic to coordinate how AI assistants plan and complete work. The system supports multiple model providers through configurable keys, allowing teams to choose their preferred AI backend. Its goal is to bring discipline and repeatability to agent-assisted coding by turning loosely defined prompts into organized execution plans. Overall, Claude Task Master functions as a productivity and orchestration layer for developers working with AI coding assistants. -
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baoyu-design
Run Claude Design locally as an Agent Skill
...The skill can generate UI mockups, prototypes, wireframes, landing pages, dashboards, mobile app screens, and slide decks as self-contained HTML. It keeps outputs inside the local project, so artifacts can be versioned, edited, previewed, and refined without uploading work to a separate design website. The repository includes core design instructions, harness-specific references, built-in skills, starter components, and local preview guidance. It is useful for developers and designers who want agent-assisted product design inside their own editor workflow. -
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GitDiagram
AI tool that converts GitHub repositories into interactive diagrams
GitDiagram is an open source web application designed to help developers quickly understand the structure and architecture of GitHub repositories by automatically generating interactive diagrams. It analyzes repository metadata such as the file tree and project documentation to build a visual representation of how different components of a project relate to one another. It uses an AI-powered pipeline to interpret repository structure and transform that information into system design diagrams... -
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Crucix
Your personal intelligence agent
...The system is designed to support iterative exploration, where users can refine their understanding through repeated interaction and analysis. Crucix emphasizes clarity and organization, making it easier to work with dense or abstract topics. It is particularly useful for learners, researchers, and developers who need to process large amounts of information efficiently. The project reflects a broader trend toward AI-assisted knowledge systems that enhance comprehension and productivity. -
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GSD Core
Meta-prompting, context engineering, spec-driven development system
...It is designed to keep agent-driven development organized by turning vague goals into structured research, plans, tasks, implementation phases, verification steps, and handoffs. The project focuses on cleaner context, verified work, and more honest project history when working with coding agents. It supports installation across several AI coding runtimes and offers profiles for different levels of workflow surface area. The system is especially useful for developers who use AI agents heavily and need more discipline around planning, execution, and review. It acts less like a single app and more like an execution layer for shipping software with agents. -
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Super Magic
All-in-one AI productivity platform with agents, workflows, and IM
Magic is an open source all-in-one AI productivity platform designed to help organizations build, deploy, and scale AI-driven applications efficiently. It is not a single tool but a complete product ecosystem composed of multiple integrated systems that work together to enhance productivity across different business scenarios. Magic centers around a general-purpose AI agent system called Super Magic, which can autonomously understand tasks, plan actions, execute workflows, and perform error correction. Alongside this, Magic includes a visual workflow engine that enables users to design complex AI processes using a drag-and-drop interface without requiring extensive coding knowledge. ... -
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Hubot
A customizable life embetterment robot
...Hubot comes with a small group of core scripts, including things like posting images, translating languages, and integrating with Google Maps. It's extendable with many other scripts, which make Hubot all the more personalized to fit your organization's needs and culture. Hubot can work on many different chat services, including third-party adapters Gitter, IRC, Slack and more. Build your own personalized chat bot with Hubot! -
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ECC
The agent harness performance optimization system
...It packages rules, skills, instincts, memory behavior, security practices, and research-first development patterns into a structured framework. The project is designed to make coding agents more reliable by improving how they plan, inspect context, make changes, review work, and avoid unnecessary mistakes. ECC includes installation guidance and language-specific rule folders for applying the system across different development setups. Its focus is not on replacing the coding agent, but on giving it a stronger operating discipline. The project is most useful for developers who use AI agents frequently and want more consistent, safer, and more deliberate coding outcomes. -
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AstronRPA
Agent-ready RPA suite with visual workflow automation tools engine
...Astron RPA includes a large library of reusable components that handle tasks such as user interface operations, data processing, and system interactions, allowing workflows to be assembled from modular building blocks. Astron RPA also integrates with intelligent agent systems so that automated processes and AI-driven workflows can work together in broader automation scenarios. -
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Loop Engineering
Practical patterns, starters & CLI tools for loop engineering with AI
Loop Engineering is a practical reference repository for designing loop-based workflows with AI coding agents. It focuses on replacing repeated manual prompting with systems that prompt, verify, schedule, and hand off work over time. The project is aimed at developers using tools such as Grok, Claude Code, Codex, Cursor, and other coding agents. It explains core building blocks such as scheduling, worktrees, skills, plugins, connectors, sub-agents, and persistent memory or state. The repository includes production loop patterns, quickstarts, starters, checklists, safety notes, and real-world stories. ... -
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49 Agents IDE
Open-source 2D IDE for managing AI agents in native CLIs
...Instead of relying on traditional tab-based workflows, it provides a spatial interface where terminals, editors, Git views, and monitoring tools coexist as movable panes, enabling users to manage complex multi-agent systems visually and intuitively. The platform is designed to work across multiple machines simultaneously, allowing agents running on different devices or servers to connect to a unified workspace without requiring SSH, which simplifies distributed development workflows. It supports real-time synchronization across devices, meaning users can monitor and control their agents from laptops, tablets, or phones with the same interface. -
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Deep Chat
Customizable AI chat component for websites with API support
...Deep Chat supports connections to a wide range of AI services as well as custom backends, enabling flexible deployment for different use cases. It is built as a framework-agnostic solution, meaning it can work across various frontend environments, with additional support provided for React through a dedicated wrapper. Deep Chat includes advanced interaction capabilities such as speech input and output, file handling, and multimedia communication, making it suitable for rich conversational experiences. Internally, it uses a structured architecture that manages input, message handling, and service communication, allowing developers to intercept and customize requests and responses. -
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David UI
Free Tailwind CSS UI component library for modern web interfaces
David AI is a free and open source library of customizable, production-ready UI components designed to work with Tailwind CSS. It focuses on helping developers build modern and visually consistent user interfaces faster by providing ready-made components that can be integrated directly into web applications. These components are designed to be flexible and easy to customize, allowing developers to adapt them to the design needs of their projects while maintaining a clean and efficient workflow. ... -
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RAG from Scratch
Demystify RAG by building it from scratch
RAG From Scratch is an educational open-source project designed to teach developers how retrieval-augmented generation systems work by building them step by step. Instead of relying on complex frameworks or cloud services, the repository demonstrates the entire RAG pipeline using transparent and minimal implementations. The project walks through key concepts such as generating embeddings, building vector databases, retrieving relevant documents, and integrating the retrieved context into language model prompts. ... -
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AI Agents From Scratch
Demystify AI agents by building them yourself. Local LLMs
...It focuses on explaining the architecture of agent systems rather than simply providing finished code, making it useful for developers who want to understand how AI agents actually work internally. By building agents incrementally, the project helps learners grasp concepts such as decision loops, task decomposition, and environment interaction.
