Showing 117 open source projects for "python code generator"

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  • 1
    Claw Code

    Claw Code

    AI agent harness for AI coding agents

    Claw Code is an open-source AI agent harness project focused on building better tools for orchestrating and managing autonomous coding agents. It originated as a clean-room reimplementation inspired by the architecture of Claude Code, aiming to replicate core concepts without using proprietary code. The project provides a Python-based foundation for experimenting with agent workflows, tool integration, and task execution pipelines.
    Downloads: 2 This Week
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  • 2
    Claude Code Skills & Plugins

    Claude Code Skills & Plugins

    232+ Claude Code skills & agent plugins for Claude Code, Codex

    Claude Skills is a repository that provides a collection of structured skill definitions designed to enhance the capabilities of Claude-based AI systems. Each skill encapsulates a specific capability, such as coding, analysis, or workflow execution, allowing the model to perform tasks more effectively. The project emphasizes modularity, enabling skills to be combined and reused across different contexts. It is designed to integrate seamlessly into AI workflows, providing a plug-and-play...
    Downloads: 9 This Week
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  • 3
    TypeAgent Python

    TypeAgent Python

    Structured RAG: ingest, index, query

    TypeAgent Python is an experimental Python implementation of Microsoft’s TypeAgent architecture designed to explore how large language models can interact with structured software systems. The project focuses on implementing structured Retrieval-Augmented Generation workflows that allow agents to ingest information, index it in structured form, and answer queries using language models.
    Downloads: 0 This Week
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  • 4
    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: 3 This Week
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  • 5
    Claude Code Plugins

    Claude Code Plugins

    Intelligent automation and multi-agent orchestration for Claude Code

    Claude Code Plugins is a lightweight framework designed to define, manage, and execute AI agents in a modular and extensible way, typically focusing on orchestrating tasks using large language models and tool integrations. The project provides abstractions for building agents that can interpret instructions, execute commands, and interact with external systems in a structured workflow. It emphasizes simplicity and composability, allowing developers to define agent behaviors through reusable...
    Downloads: 0 This Week
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  • 6
    Medeo Video Generator

    Medeo Video Generator

    AI-powered video generation skill for OpenClaw

    Medeo Video Generator is an AI-driven project designed to enable advanced video processing and generation capabilities within agent-based or automation systems. It provides a “skill” module that can be integrated into AI agents, allowing them to create, edit, and manipulate video content programmatically. The project focuses on bridging the gap between language-based AI systems and multimedia outputs by enabling models to produce structured video content as part of their workflows. It...
    Downloads: 0 This Week
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  • 7
    Academic Research Skills for Claude Code

    Academic Research Skills for Claude Code

    Academic Research Skills for Claude Code

    Academic Research Skills is a structured learning repository aimed at improving users’ ability to conduct rigorous academic research, particularly in technical and scientific domains. It compiles methodologies, frameworks, and best practices for literature review, critical analysis, and research writing. The project is designed as a self-guided resource, helping learners understand how to evaluate sources, synthesize information, and develop strong arguments. It likely integrates examples,...
    Downloads: 8 This Week
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  • 8
    DeerFlow

    DeerFlow

    Deep Research framework, combining language models with tools

    DeerFlow is an open-source, community-driven “deep research” framework / multi-agent orchestration platform developed by ByteDance. It aims to combine the reasoning power of large language models (LLMs) with automated tool-use — such as web search, web crawling, Python execution, and data processing — to enable complex, end-to-end research workflows. Instead of a monolithic AI assistant, DeerFlow defines multiple specialized agents (e.g. “planner,” “searcher,” “coder,” “report generator”) that collaborate in a structured workflow, allowing tasks like literature reviews, data gathering, data analysis, code execution, and final report generation to be largely automated. ...
    Downloads: 12 This Week
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  • 9
    magentic

    magentic

    Seamlessly integrate LLMs as Python functions

    Easily integrate Large Language Models into your Python code. Simply use the @prompt and @chatprompt decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic.
    Downloads: 9 This Week
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  • 10
    DSPy

    DSPy

    DSPy: The framework for programming—not prompting—language models

    Developed by the Stanford NLP Group, DSPy (Declarative Self-improving Python) is a framework that enables developers to program language models through compositional Python code rather than relying solely on prompt engineering. It facilitates the construction of modular AI systems and provides algorithms for optimizing prompts and weights, enhancing the quality and reliability of language model outputs.
    Downloads: 9 This Week
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  • 11
    Quark Agent

    Quark Agent

    Quark Agent - Your AI-powered Android APK Analyst

    With Quark Agent, you can perform analyses using only natural language. It creates Quark Script code following your ideas and adjusts the code promptly as you provide feedback.
    Downloads: 11 This Week
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  • 12
    img2threejs

    img2threejs

    Rebuild the object in a reference image as a code-only, procedural

    img2threejs is an open-source agent skill that rebuilds an object from one reference image as procedural Three.js code. It generates a TypeScript THREE.Group factory from primitives, procedural shaders, and generated geometry rather than extracting or downloading a mesh. The resulting hierarchy can include pivots, sockets, colliders, and destruction groups so the model is ready for interaction and animation. A staged pipeline evaluates suitability, defines a detailed specification, builds...
    Downloads: 11 This Week
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  • 13
    GPT All Star

    GPT All Star

    AI-powered code generation tool for scratch development of web apps

    AI-powered code generation tool for scratch development of web applications with a team collaboration of autonomous AI agents. This is a research project, and its primary value is to explore the possibility of autonomous AI agents.
    Downloads: 2 This Week
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  • 14
    Claude Blog

    Claude Blog

    Claude Code blog skill suite

    Claude Blog is a Claude Code blog skill suite for planning, writing, optimizing, and auditing long-form content. It is built as a full-lifecycle blog engine with 30 sub-skills, 5 agents, 12 content templates, on-demand references, Python scripts, and automated tests. The workflow is designed to produce production-ready content rather than one-shot AI drafts.
    Downloads: 6 This Week
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  • 15
    Qwen-Agent

    Qwen-Agent

    Agent framework and applications built upon Qwen>=3.0

    Qwen-Agent is a framework for building applications / agents using Qwen models (version 3.0+). It provides components for instruction following, tool usage (function calling), planning, memory, RAG (retrieval augmented generation), code interpreter, etc. It ships with example applications (Browser Assistant, Code Interpreter, Custom Assistant), supports GUI front-ends, backends, server setups. Agent workflow can maintain context / memory to perform multi-turn or more complex logic over time....
    Downloads: 11 This Week
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  • 16
    Scientific Agent Skills

    Scientific Agent Skills

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

    ...It is especially useful for researchers who need AI assistance with databases, Python libraries, literature review, data analysis, and scientific communication. The project also emphasizes extensibility, security review, and practical installation through npx or GitHub CLI.
    Downloads: 84 This Week
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  • 17
    Agent Development Kit (ADK)

    Agent Development Kit (ADK)

    Open-source, code-first Python toolkit for building, evaluating, etc.

    ADK (Android Device Key) Python is a reference implementation by Google for working with Android attestation keys in Python. It facilitates the integration of Android attestation features into backends or systems that require verification of device identity and integrity. This is especially important in high-security applications where verifying that a device is genuine and uncompromised is critical. ADK Python helps developers verify hardware-backed keys, work with JSON Web Tokens (JWT),...
    Downloads: 6 This Week
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  • 18
    notebooklm-py

    notebooklm-py

    Unofficial Python API and agentic skill for Google NotebookLM

    notebooklm-py is an unofficial Python API and agent-ready integration layer for Google NotebookLM that exposes NotebookLM functionality through code, the command line, and AI agent workflows. Its goal is to provide programmatic access not just to standard notebook operations, but also to many capabilities that are either limited or unavailable in the web interface, making it especially useful for automation and custom pipelines.
    Downloads: 14 This Week
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  • 19
    LLMStack

    LLMStack

    No-code multi-agent framework to build LLM Agents, workflows

    LLMStack is a no-code platform for building generative AI agents, workflows and chatbots, connecting them to your data and business processes. Build tailor-made generative AI agents, applications and chatbots that cater to your unique needs by chaining multiple LLMs. Seamlessly integrate your own data, internal tools and GPT-powered models without any coding experience using LLMStack's no-code builder. Trigger your AI chains from Slack or Discord. Deploy to the cloud or on-premise.
    Downloads: 9 This Week
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  • 20
    Claude SEO

    Claude SEO

    Universal SEO skill for Claude Code

    Claude SEO is an open-source Claude Code skill suite for running structured SEO analysis through AI-assisted workflows. It combines 25 sub-skills and 18 specialist agents across technical SEO, content quality, Schema.org markup, GEO and AEO, local SEO, e-commerce, international SEO, backlinks, semantic clustering, and Google API workflows. The system is designed to produce prioritized action plans instead of generic audit notes. Recommendations include first-principle observations,...
    Downloads: 9 This Week
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  • 21
    AutoResearchClaw

    AutoResearchClaw

    Autonomous research from idea to paper. Chat an Idea. Get a Paper 🦞

    AutoResearchClaw is an open-source framework designed to automatically generate full academic research papers from a single idea or topic. Built in Python, it orchestrates a multi-stage research pipeline that gathers literature, formulates hypotheses, runs experiments, analyzes results, and writes the final paper. The system retrieves real academic references from sources such as arXiv and Semantic Scholar to ensure credible citations. It can automatically generate code for experiments, run them in a sandbox environment, and analyze the results with statistical methods. ...
    Downloads: 19 This Week
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  • 22
    OpenSandbox

    OpenSandbox

    OpenSandbox is a general-purpose sandbox platform for AI applications

    OpenSandbox is a general purpose sandbox platform designed to securely run and isolate AI applications and untrusted workloads in controlled environments. The project focuses on providing a unified sandbox API that simplifies the process of executing code safely across different runtime backends. It supports multiple programming languages through SDKs, allowing developers to integrate sandbox capabilities into their systems without building custom isolation layers. The platform is built to...
    Downloads: 4 This Week
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  • 23
    Vibe-Trading

    Vibe-Trading

    Vibe-Trading: Your Personal Trading Agent

    Vibe-Trading is an AI-powered multi-agent financial workspace that converts natural language inputs into executable trading strategies and market analysis. It allows users to describe investment ideas in plain language, which are then translated into code, backtested, and evaluated across global markets. The platform integrates multiple data sources, including equities, crypto, and derivatives, with automatic fallback mechanisms. It features a swarm-based architecture with prebuilt expert...
    Downloads: 18 This Week
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  • 24
    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: 8 This Week
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  • 25
    Agent Control

    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...
    Downloads: 46 This Week
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