Showing 555 open source projects for "ai code"

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  • 1
    Wan2.2

    Wan2.2

    Wan2.2: Open and Advanced Large-Scale Video Generative Model

    Wan2.2 is a major upgrade to the Wan series of open and advanced large-scale video generative models, incorporating cutting-edge innovations to boost video generation quality and efficiency. It introduces a Mixture-of-Experts (MoE) architecture that splits the denoising process across specialized expert models, increasing total model capacity without raising computational costs. Wan2.2 integrates meticulously curated cinematic aesthetic data, enabling precise control over lighting,...
    Downloads: 118 This Week
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  • 2
    Agent Stack

    Agent Stack

    Deploy and share agents with open infrastructure

    Agent Stack is an open infrastructure platform designed to take AI agents from prototype to production, no matter how they were built. It includes a runtime environment, multi-tenant web UI, catalog of agents, and deployment flow that seeks to remove vendor lock-in and provide greater autonomy. Under the hood it’s built on the “Agent2Agent” (A2A) protocol, enabling interoperability between different agent ecosystems, runtime services, and frameworks. The platform supports agents built in...
    Downloads: 0 This Week
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  • 3
    uAgents

    uAgents

    A fast and lightweight framework for creating decentralized agents

    uAgents is a library developed by Fetch.ai that allows for creating autonomous AI agents in Python. With simple and expressive decorators, you can have an agent that performs various tasks on a schedule or takes action on various events.
    Downloads: 0 This Week
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  • 4
    Scientific Agent Skills

    Scientific Agent Skills

    A set of ready to use Agent Skills for research, science, engineering

    Scientific Agent Skills is an open-source collection of ready-to-use agent skills designed to turn AI coding assistants into stronger research, science, engineering, and analysis partners. It supports any AI agent compatible with the Agent Skills standard, including tools such as Cursor, Claude Code, Codex, and Gemini CLI. The repository includes 135 skills across scientific domains such as genomics, cheminformatics, clinical research, medical imaging, machine learning, physics, materials science, geospatial analysis, and scientific writing. ...
    Downloads: 3 This Week
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  • 5
    AgentRun

    AgentRun

    The easiest, and fastest way to run AI-generated Python code safely

    AgentRun is a framework for building autonomous AI agents capable of executing complex tasks with minimal human intervention. It provides a structured environment for defining agent behaviors, managing workflows, and integrating AI models to achieve specific goals.
    Downloads: 0 This Week
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  • 6
    o1-engineer

    o1-engineer

    o1-engineer is a command-line tool designed to assist developers

    ...Overall, it is designed to make AI-assisted coding more interactive, project-aware, and practical from the command line.
    Downloads: 2 This Week
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  • 7
    CodiumAI Cover-Agent

    CodiumAI Cover-Agent

    CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation

    CodiumAI Cover Agent aims to help efficiently increasing code coverage, by automatically generating qualified tests to enhance existing test suites.
    Downloads: 0 This Week
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  • 8
    Agent Lightning

    Agent Lightning

    The absolute trainer to light up AI agents

    Agent Lightning is an open-source framework developed by Microsoft to train and optimize AI agents using techniques like reinforcement learning (RL), supervised fine-tuning, and automatic prompt optimization, with minimal or zero changes to existing agent code. It’s designed to be compatible with a wide range of agent architectures and frameworks — from LangChain and OpenAI Agent SDKs to AutoGen and custom Python agents — making it broadly applicable across different agent tooling ecosystems. ...
    Downloads: 0 This Week
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  • 9
    autoresearch

    autoresearch

    AI agents autonomously run and improve ML experiments overnight

    autoresearch is an experimental framework that enables AI agents to autonomously conduct machine learning research by iteratively modifying and training models. Created by Andrej Karpathy, the project allows an agent to edit the model training code, run short experiments, evaluate results, and repeat the process without human intervention. Each experiment runs for a fixed five-minute training window, enabling rapid iteration and consistent comparison across architectural or hyperparameter changes. ...
    Downloads: 0 This Week
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  • 10
    deepclaude

    deepclaude

    Use Claude Code's agent loop with DeepSeek V4 Pro, OpenRouter & more

    deepclaude is a lightweight proxy tool that enables developers to run Claude Code’s autonomous coding agent loop using alternative AI backends like DeepSeek V4 Pro, OpenRouter, or other Anthropic-compatible models. It preserves the full Claude Code experience—including file editing, terminal execution, and multi-step agent workflows—while dramatically reducing operational costs. By swapping out the underlying model instead of the interface, deepclaude delivers the same familiar UX with significantly cheaper token pricing. ...
    Downloads: 0 This Week
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  • 11
    Desloppify

    Desloppify

    Agent harness to make your slop code well-engineered and beautiful

    Desloppify is a utility-focused project aimed at improving the quality, structure, and clarity of generated or written text by removing redundancy, noise, and unnecessary verbosity. It is designed to “clean up” outputs, particularly those produced by AI systems, making them more concise, readable, and professional. The system likely applies heuristics or transformation rules to identify repetitive patterns, filler content, and stylistic inconsistencies. This makes it especially useful in...
    Downloads: 2 This Week
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  • 12
    Fairlearn

    Fairlearn

    A Python package to assess and improve fairness of ML models

    Fairlearn is a Python package that empowers developers of artificial intelligence (AI) systems to assess their system's fairness and mitigate any observed unfairness issues. Fairlearn contains mitigation algorithms as well as metrics for model assessment. Besides the source code, this repository also contains Jupyter notebooks with examples of Fairlearn usage. An AI system can behave unfairly for a variety of reasons.
    Downloads: 0 This Week
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  • 13
    MathModelAgent

    MathModelAgent

    An Agent Designed for Mathematical Modeling

    MathModelAgent is an AI agent system designed specifically for assisting with mathematical modeling tasks and academic problem solving. The platform automates the process of analyzing mathematical problems, constructing models, generating code for simulations or computations, and producing a complete research-style report. The project uses a multi-agent architecture where different specialized agents handle tasks such as problem interpretation, modeling design, programming implementation, and paper writing. ...
    Downloads: 77 This Week
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  • 14
    Claude Agent SDK for Python

    Claude Agent SDK for Python

    Python SDK for Claude Agent

    Claude Agent SDK (Python) is the official Python counterpart to the TypeScript Agent SDK from Anthropic, designed to let Python developers build powerful autonomous AI agents with Claude Code under the hood. The SDK wraps the core functionality of Claude Code and exposes high-level asynchronous and synchronous interfaces to query prompts, manage sessions, and orchestrate tool use — so you can build agents that understand code, make edits, run bash commands, interact with files, and handle workflows without writing low-level agent loop logic yourself. ...
    Downloads: 0 This Week
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  • 15
    Sepia

    Sepia

    De-AI writing skill for any Agent Skills-compatible agent

    ...The skill follows the standard Agent Skills format and can therefore be installed across many compatible assistants. Native packaging is also provided for selected environments such as Claude Code, Codex, Grok Build, Antigravity, and QwenPaw.
    Downloads: 1 This Week
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  • 16
    Claude Codex Settings

    Claude Codex Settings

    My personal Claude Code and OpenAI Codex setup

    Claude Codex Settings is a configuration-focused repository that provides curated settings, prompts, and workflow optimizations for improving AI-assisted coding environments. It is designed to help developers fine-tune how Claude and similar models behave within coding workflows, ensuring more consistent and high-quality outputs. The project emphasizes practical usability, offering ready-to-use configurations that can be directly integrated into development environments. It also includes...
    Downloads: 1 This Week
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  • 17
    Claude Plugins Community

    Claude Plugins Community

    Community plugin marketplace for Claude Cowork and Claude Code

    Claude Plugins — Community is a read-only marketplace repository for community-contributed plugins compatible with Claude Cowork and Claude Code. It acts as the public mirror of Anthropic’s reviewed community plugin catalog. The marketplace metadata is synchronized nightly from Anthropic’s internal review pipeline. Listed plugins have passed automated security scanning and approval before distribution. Claude Code users can add the repository as a marketplace and install individual community...
    Downloads: 2 This Week
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  • 18
    LTX-2

    LTX-2

    Python inference and LoRA trainer package for the LTX-2 audio–video

    LTX-2 is a powerful, open-source toolkit developed by Lightricks that provides a modular, high-performance base for building real-time graphics and visual effects applications. It is architected to give developers low-level control over rendering pipelines, GPU resource management, shader orchestration, and cross-platform abstractions so they can craft visually compelling experiences without starting from scratch. Beyond basic rendering scaffolding, LTX-2 includes optimized math libraries,...
    Downloads: 29 This Week
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  • 19
    UI UX Pro Max

    UI UX Pro Max

    AI SKILL that provide design intelligence

    UI UX Pro Max is an open-source AI skill designed to provide intelligent design assistance for professional user interfaces and user experiences across web, mobile, and cross-platform frameworks. It uses an AI reasoning engine to generate complete design systems tailored to project requirements, recommending layouts, typography, colors, spacing, and component structures automatically based on natural language prompts.
    Downloads: 19 This Week
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  • 20
    BioEmu

    BioEmu

    Inference code for scalable emulation of protein equilibrium ensembles

    Biomolecular Emulator (BioEmu for short) is a model that samples from the approximated equilibrium distribution of structures for a protein monomer, given its amino acid sequence. By default, unphysical structures (steric clashes or chain discontinuities) will be filtered out, so you will typically get fewer samples in the output than requested. The difference can be very large if your protein has large disordered regions, which are very likely to produce clashes. BioEmu outputs structures...
    Downloads: 3 This Week
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  • 21
    OpenAI Sublime Text Plugin

    OpenAI Sublime Text Plugin

    First class Sublime Text AI assistant with gpt-5, Opus 4.6, Gemini 3

    OpenAI Sublime Text is a full-featured AI assistant plugin designed to bring advanced language model capabilities into the Sublime Text editor with a deeply integrated user experience. It supports a wide range of providers, including OpenAI, Anthropic, Google Gemini, and local backends like Ollama or llama.cpp, making it highly flexible for different deployment scenarios.
    Downloads: 1 This Week
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  • 22
    book-to-skill

    book-to-skill

    Turn any technical book PDF into a Claude Code skill

    book-to-skill is a Claude Code skill that turns technical books and documents into reusable AI reference skills. It extracts content from PDFs and EPUBs, then organizes the material so an assistant can study, reference, and apply it while working. The project is useful for transforming dense manuals, textbooks, internal documentation, or technical guides into practical agent-accessible knowledge.
    Downloads: 5 This Week
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  • 23
    OpenAGI

    OpenAGI

    When LLM Meets Domain Experts

    OpenAGI is a package for AI agent creation designed to connect large language models with domain-specific tools and workflows in the AIOS (AI Operating System) ecosystem. It provides a structured Python framework, pyopenagi, for defining agents as modular units that encapsulate execution logic, configuration, and dependency metadata. Agents are organized in a well-defined folder structure that includes code (agent.py), configuration (config.json), and extra requirements (meta_requirements.txt), which makes them easy to package, share, and reuse. ...
    Downloads: 0 This Week
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  • 24
    II Agent

    II Agent

    A new open-source framework to build and deploy intelligent agents

    II-Agent is an open-source intelligent assistant framework designed to automate complex workflows across multiple domains using large language models and external tools. The platform allows users to interact with multiple AI models within a single environment while connecting those models to external services and knowledge sources. Through a unified interface, users can switch between models, access specialized tools, and execute tasks that require information retrieval, code execution, or file analysis. The architecture focuses on transforming traditional software tools into autonomous assistants capable of completing tasks independently based on user instructions. ...
    Downloads: 0 This Week
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  • 25
    Context Engineering Template

    Context Engineering Template

    Context engineering is the new vibe coding

    ...The repository provides templates such as CLAUDE.md for defining global project rules, INITIAL.md for feature requests, and folders for examples, PRPs, validation scripts, and settings to support systematic prompt generation and execution with tools like Claude Code. By using this template, teams can ensure consistency across AI outputs, reduce errors that stem from contextual misunderstandings, and build reusable patterns.
    Downloads: 0 This Week
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