Search Results for "code" - Page 24
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6396 projects for "code" with 1 filter applied:
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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KazumiRules
Kazumi's rule hosting repository
...It stores community-contributed JSON rule files that define how Kazumi can collect and parse anime content from supported sources. The repository is organized around rule contribution rather than application code, making it a data and configuration companion to the main Kazumi app. Contributors are asked to submit or update only rule files, while generated files such as the index and README are updated automatically after merges. The rules support multiple API levels, with newer levels adding features such as POST requests, referer handling, legacy parser support, and HLS ad filtering. ... -
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Agent Control
Centralized agent control plane for governing runtime agent behavior
Agent Control is a centralized control plane for governing AI agent behavior at runtime across different frameworks and deployment environments. It lets teams define controls once and apply them consistently to agents without rewriting the agent’s core code. The platform evaluates agent inputs and outputs against configurable policies to reduce risks such as prompt injection, unsafe responses, sensitive data exposure, and policy drift. It is designed for production environments where organizations need observability, enforcement, and governance around autonomous or semi-autonomous AI systems. ... -
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Feynman
The open source AI research agent
Feynman is a command-line AI research agent designed to automate complex research workflows by orchestrating multiple specialized agents that collaborate to gather, analyze, and synthesize information into structured outputs. It operates as a “Claude Code for research,” allowing users to input natural language queries and receive fully developed, source-grounded research briefs, literature reviews, or experimental analyses. The system is built around a multi-agent architecture that includes roles such as researcher, reviewer, writer, and verifier, each responsible for a specific stage of the research pipeline. ... -
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os-tutorial
How to create an OS from scratch
...The repository provides step-by-step lessons starting with bootloaders and moving through kernel development, interrupts, memory management, and system calls. Each tutorial is accompanied by clear explanations, code examples, and references to deepen understanding. The project uses x86 assembly and C to illustrate concepts, making it accessible to students and hobbyists interested in low-level programming. By compiling and running the examples with tools like QEMU, learners gain hands-on experience with OS fundamentals. With its structured lessons and approachable explanations, the repository has become a widely recommended resource for operating system beginners. -
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Agent Apprenticeship
The living ecosystem where AI agents complete tasks
...It lets local agents complete tasks through iterative workflow loops, then records the process as experience that can improve future agents. Apprentice agents can be paired with mentor agents, human reviewers, or domain experts depending on the selected mode. The project supports Codex, Cursor, Claude Code, OpenClaw, OpenCode, Hermes Agent, and custom agent commands. Its seed dataset includes curated tasks, reusable lessons, execution traces, work episodes, and structured experience records. It is designed for long-horizon agent work, workflow evaluation, runtime training, and shared improvement across an agent ecosystem. -
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AI Dev Tasks
A simple task management system for managing AI dev agents
...It provides structured prompt files that guide an AI coding assistant through feature planning, PRD creation, task breakdown, and implementation checkpoints. The project is designed to work with AI-powered IDEs and CLI agents such as Amp, Claude Code, Windsurf, and similar tools. Instead of asking an agent to jump directly into code, users can follow a staged process that clarifies requirements before implementation begins. This helps reduce vague tasks, missed edge cases, and uncontrolled agent changes. ai-dev-tasks is most useful for developers who want repeatable AI workflows that turn feature ideas into organized implementation plans. -
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Violin
Open-source Video Translation Skill
...The project is designed to keep the generated speech aligned with the original timing so the final result feels closer to a real dubbed video. It can be used from the command line, through a FastAPI web app, or as a Claude Code skill. Violin supports multilingual workflows and is useful for creators, educators, localization teams, and developers building automated video translation pipelines. It is especially practical for turning lectures, tutorials, interviews, demos, and social videos into accessible content for wider audiences. -
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Anything to NotebookLM
Multi-source content processor for NotebookLM
Qiaomu Anything to NotebookLM is a Claude Code skill that turns many types of source material into structured NotebookLM-ready outputs. It is built for users who want to convert articles, web pages, videos, PDFs, office files, podcasts, images, and search results into more usable study or presentation formats. The project uses natural-language commands, so the user can ask for a podcast, slide deck, mind map, report, quiz, flashcards, or infographic without manually building the workflow. ... -
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AnalysisAVP
Encode decode, rgb yuv h264 aac flv mp4 rtmp
...The project also explores media container formats like MP4 and FLV, along with streaming protocols such as RTMP and WebRTC, offering a broad understanding of media transmission. It includes practical examples and experimental code that demonstrate real-world implementations such as camera capture, rendering, and encoding workflows. The repository also references various multimedia frameworks and libraries like FFmpeg, SDL2, and x264, helping users understand their integration. It is designed as both a study guide and a reference for developers learning multimedia engineering. ... -
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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Wondel.ai Skills
Agent skills for Claude Code and other agentskills-compatible agents
Wondel.ai Skills is a repository that provides modular capability packages for AI agents, particularly those operating within Claude Code and similar ecosystems. Each skill represents a structured set of instructions, workflows, and tools that enable agents to perform specific tasks with expertise. These skills can cover a wide range of domains, including development, automation, and problem-solving, allowing agents to extend their capabilities dynamically. The system emphasizes modularity, enabling skills to be reused and combined into more complex workflows. ... -
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pg-aiguide
MCP server and Claude plugin for Postgres skills and documentation
...It acts as a bridge between database documentation and AI tools, enabling more accurate generation of SQL queries and database interactions. The system integrates with Claude Code through an MCP server, allowing agents to access curated PostgreSQL knowledge in real time. It focuses on improving developer productivity by reducing errors and providing context-aware suggestions. The project also includes documentation and examples that help users understand best practices in database design and querying. It is particularly useful for teams working heavily with PostgreSQL who want to leverage AI tools effectively. ... -
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Harness
A meta-skill that designs domain-specific agent teams
Harness is a meta-skill framework designed to automate the creation and orchestration of domain-specific AI agent teams within Claude Code environments. Instead of manually defining agents and their behaviors, it generates specialized agents, assigns them roles, and produces the skills they need to execute tasks effectively. The system focuses on scaling agent-based workflows by dynamically assembling teams tailored to specific problems. It enables structured collaboration between agents, allowing them to divide work and operate in coordinated pipelines. ... -
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AgentGuard
AgentGuard is a firewall for AI agents
...This makes it particularly valuable in environments where agents operate autonomously and may enter unintended loops or inefficient workflows. The tool integrates directly into existing applications with minimal changes, often requiring only a few lines of code to activate protection. It also supports advanced configurations such as distributed tracking through Redis and webhook notifications for real-time monitoring. -
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templUI
A growing collection of beautifully designed UI components for Go
...It provides a growing collection of beautifully designed, production-ready components styled with Tailwind CSS, allowing developers to construct modern web interfaces without relying on heavy frontend frameworks. One of its defining principles is code ownership, meaning developers can either import components directly or copy them into their projects using a CLI, ensuring full control over customization and long-term maintenance. The library avoids JavaScript frameworks entirely, instead relying on lightweight, vanilla implementations that prioritize speed and simplicity. templUI also emphasizes security and compliance, with features such as CSP-friendly rendering and no inline scripts, making it suitable for enterprise environments. -
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spartan
Cutting-edge tools powering Angular full-stack development
...It is structured as a monorepo that includes both a UI library and a full-stack solution, enabling developers to build complete applications with consistent tooling and design patterns. One of its defining characteristics is its inspiration from libraries like shadcn/ui, emphasizing ownership of code rather than heavy abstraction, which allows developers to fully customize and extend their components. The UI layer is built on accessible, unstyled primitives that can be enhanced with styled layers, giving teams control over both accessibility and visual design without being locked into a rigid theme. Spartan integrates well with modern Angular tooling such as Nx and Tailwind CSS, making it suitable for scalable, enterprise-level projects. -
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Stlite
n-browser Streamlit
Stlite is a WebAssembly-powered framework that enables Streamlit applications to run entirely in the browser without requiring a Python backend server. It achieves this by using Pyodide, a WebAssembly-based Python runtime, to execute Python code directly within the browser environment. This allows developers to build interactive data applications using familiar Streamlit APIs while eliminating the need for server-side infrastructure. Stlite supports a wide range of Python libraries and enables real-time interactivity, making it suitable for dashboards, data visualization tools, and educational applications. ... -
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Godot MCP
MCP server for interfacing with Godot game engine
...It acts as a bridge between AI systems and the Godot editor, providing capabilities such as launching projects, running games in debug mode, and capturing runtime output for analysis. The tool is particularly valuable for AI-assisted game development, as it creates a feedback loop where agents can execute code, observe results, and iteratively improve their outputs. It also includes advanced features for manipulating scenes, managing assets, and editing project structures, making it possible to automate large portions of the development process. By exposing Godot functionality through a standardized MCP interface, it ensures compatibility with various AI clients such as Claude Code or Cursor. -
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FormCreate
The easy-to-use Vue low-code visual AI form designer
FormCreate is a low-code visual form builder built on Vue that enables developers to create complex, dynamic forms through a drag-and-drop interface rather than manual coding. It is part of the broader form-create ecosystem and leverages JSON-based schema generation to dynamically render forms, handle validation, and manage data collection workflows. The tool is designed to significantly reduce development time by allowing users to visually assemble forms while automatically generating the underlying configuration and logic. ... -
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Cloud Foundation Toolkit Project
The Cloud Foundation toolkit provides GCP best practices as code
Cloud Foundation Toolkit is a best-practices-as-code project intended to help teams build and manage Google Cloud environments in a more standardized, production-ready way. At its core, it combines a comprehensive set of Terraform blueprints with developer tooling that supports the creation and management of those blueprints. The repository is aimed at infrastructure teams that want reusable, policy-aligned starting points instead of assembling foundational cloud environments from scratch every time. ... -
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dots.ocr
Multilingual Document Layout Parsing in a Single Vision-Language Model
...Beyond standard OCR tasks, it extends its capabilities to parse complex visual elements such as charts, diagrams, and web interfaces, converting them into structured outputs like SVG code. -
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Google Research: Language
Shared repository for open-sourced projects from the Google AI Lang
...These implementations often explore advanced techniques such as language modeling, semantic understanding, information retrieval, and multilingual text processing. The repository functions as a collaborative hub where different research initiatives can publish their code, enabling the broader community to reproduce experiments and build upon published work. -
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machine-learning-refined
Master the fundamentals of machine learning, deep learning
...The project accompanies a series of textbooks and teaching materials that focus on making machine learning concepts accessible through visual demonstrations and simple code implementations. Instead of presenting algorithms purely through mathematical derivations, the repository emphasizes geometric intuition, visualization, and step-by-step experimentation. It includes Jupyter notebooks and scripts that illustrate core machine learning topics such as regression, classification, optimization methods, and neural networks. ... -
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AI-Tutorials/Implementations Notebooks
Codes/Notebooks for AI Projects
AI-Tutorials/Implementations Notebooks repository is a comprehensive collection of artificial intelligence tutorials and implementation examples intended for developers, students, and researchers who want to learn by building practical AI projects. The repository contains numerous Jupyter notebooks and code samples that demonstrate modern techniques in machine learning, deep learning, data science, and large language model workflows. It includes implementations for a wide range of AI topics such as computer vision, agent systems, federated learning, distributed systems, adversarial attacks, and generative AI. Many of the tutorials focus on building AI agents, multi-agent systems, and workflows that integrate language models with external tools or APIs. ... -
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Machine Learning Foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics
Machine Learning Foundations repository contains the code, notebooks, and teaching materials used in Jon Krohn’s Machine Learning Foundations curriculum. The project focuses on explaining the fundamental mathematical and computational concepts that underpin modern machine learning and artificial intelligence systems. The materials cover essential topics such as linear algebra, calculus, statistics, and probability, which form the theoretical basis of many machine learning algorithms. ... -
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TypedAI
TypeScript AI platform with AI chat, Autonomous agents
...The platform also includes specialized software engineering agents that can assist with tasks such as code reviews or repository analysis. Developers can integrate multiple model providers and tools into the platform to create flexible agent pipelines.
