Showing 1415 open source projects for "python ai game"

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  • 1
    Notte

    Notte

    Opensource browser using agents

    Notte is an open-source browser framework that enables the development and deployment of web-based AI agents. It introduces a perception layer that transforms web pages into structured, navigable maps described in natural language, allowing agents to interact with the internet more effectively. Notte is designed for building scalable and efficient browser-based AI applications.
    Downloads: 0 This Week
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  • 2
    MCP Agent

    MCP Agent

    Build effective agents using Model Context Protocol

    The MCP Agent is a framework that enables the construction of effective AI agents using the Model Context Protocol. It focuses on simple, composable patterns to build production-ready AI agents, facilitating seamless integration with various tools and services to enhance AI capabilities. ​
    Downloads: 0 This Week
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  • 3
    Agent Payments Protocol (AP2)

    Agent Payments Protocol (AP2)

    Building a Secure and Interoperable Future for AI-Driven Payments

    AP2 is a project released by Google’s “Agentic Commerce” initiative, focusing on a protocol and reference implementation for agent-driven or AI-mediated payments. In effect, AP2 aims to define a secure, interoperable protocol that allows software agents to act on behalf of users—making payments or shopping decisions autonomously—while preserving necessary security, auditability, and trust. The repository contains sample scenarios (in Python, Android, etc.) that illustrate how agents, servers, and payments flows would work under the protocol. ...
    Downloads: 1 This Week
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  • 4
    Nerve

    Nerve

    The Simple Agent Development Kit

    Nerve is a developer-friendly Agent Development Kit (ADK) that utilizes YAML and a CLI to define, run, orchestrate, and evaluate LLM-driven agents. It supports declarative setups, tool integration, workflow pipelines, and both MCP client and server roles. Nerve is a simple yet powerful Agent Development Kit (ADK) to build, run, evaluate, and orchestrate LLM-based agents using just YAML and a CLI. It’s designed for technical users who want programmable, auditable, and reproducible automation...
    Downloads: 3 This Week
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  • 5
    Chidori

    Chidori

    A reactive runtime for building durable AI agents

    A reactive runtime for building durable AI agents. Chidori is an open-source orchestrator, runtime, and IDE for building software in symbiosis with modern AI tools. When using Chidori, you author code with python or javascript, we provide a layer for interfacing with the complexities of AI models in long-running workflows. We have avoided the need for declaring a new language or SDK in order to provide these capabilities so that you can leverage software patterns that you are already familiar with.
    Downloads: 0 This Week
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  • 6
    Godot RL Agents

    Godot RL Agents

    An Open Source package that allows video game creators

    godot_rl_agents is a reinforcement learning integration for the Godot game engine. It allows AI agents to learn how to interact with and play Godot-based games using RL algorithms. The toolkit bridges Godot with Python-based RL libraries like Stable-Baselines3, making it possible to create complex and visually rich RL environments natively in Godot.
    Downloads: 0 This Week
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  • 7
    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: 2 This Week
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  • 8
    memsearch

    memsearch

    A Markdown-first memory system, a standalone library for any AI agent

    memsearch is a markdown-first memory system designed to provide long-term memory capabilities for AI agents through structured storage and semantic retrieval. It enables agents to store, organize, and retrieve information using embeddings and hybrid search techniques, ensuring that relevant context is always available. The system supports advanced features such as reranking and progressive disclosure, which help prioritize the most useful information for a given query. It integrates with...
    Downloads: 2 This Week
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  • 9
    OpenGame

    OpenGame

    Open Agentic Coding for Games

    OpenGame is an open-source project aimed at providing a flexible framework or toolkit for building games, likely focusing on accessibility, modularity, and collaborative development. It appears designed to simplify the process of creating interactive experiences by offering reusable components and structured architecture for game logic, rendering, and input handling. The project likely supports experimentation with different gameplay mechanics and encourages customization through open-source...
    Downloads: 0 This Week
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  • 10
    The Arcade Learning Environment

    The Arcade Learning Environment

    The Arcade Learning Environment (ALE) -- a platform for AI research

    Arcade Learning Environment (ALE) is a widely used open-source framework that wraps hundreds of Atari 2600 games via an emulator and presents them as RL environments for AI agents. It decouples the game/emulation aspects from the agent interface, providing a clean API (C++, Python, Gymnasium) so researchers can focus on agent design rather than game plumbing. This environment suite has been central to many RL breakthroughs, including value-based agents, deep Q-nets, and general-agent benchmarking, because the Atari games span many genres and present diverse learning challenges (pixels, actions, delayed rewards). ...
    Downloads: 0 This Week
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  • 11
    PentestAgent

    PentestAgent

    AI agent framework for black-box security testing

    PentestAgent is an open-source autonomous security testing platform designed to help organizations identify vulnerabilities and assess security posture by simulating real-world attack scenarios without manual intervention. It brings a modular and automated approach to penetration testing by orchestrating a suite of tools and scripts that can emulate common exploitation techniques, reconnaissance workflows, and post-exploitation activities across targets. Users configure rules, policies, and...
    Downloads: 3 This Week
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  • 12
    Learn Claude Code

    Learn Claude Code

    Bash is all you need, write a claude code with only 16 line code

    Learn Claude Code is an educational repository that teaches how modern AI coding agents work by walking learners through a sequence of progressively more complex agent implementations, starting with a minimal Bash-based agent and culminating in agents with explicit planning, subagents, and skills. It emphasizes a hands-on learning path where each version (from v0 to v4) adds conceptual building blocks like the core agent loop, todo planning, task decomposition, and domain knowledge skills,...
    Downloads: 66 This Week
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  • 13
    Model Context Protocol Python SDK

    Model Context Protocol Python SDK

    The official Python SDK for Model Context Protocol servers and clients

    The Python SDK for Model Context Protocol provides utilities to interact with the protocol, enabling seamless communication with AI models.
    Downloads: 0 This Week
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  • 14
    yourself-skill

    yourself-skill

    Instead of distilling others, it is better to distil yourself

    yourself-skill is an AI skill framework focused on self-reflection and personalization, enabling agents to adapt their behavior based on user context and interaction history. It encourages systems to maintain awareness of user preferences, goals, and communication styles. The project emphasizes building more human-aligned interactions by incorporating memory and contextual reasoning. It can be integrated into broader AI systems to improve personalization and continuity across sessions. The...
    Downloads: 0 This Week
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  • 15
    Beehave

    Beehave

    Behavior tree AI for Godot Engine

    Beehave is a powerful AI behavior tree framework designed as an addon for the Godot game engine, enabling developers to create sophisticated and dynamic non-player character behaviors in games. It uses a node-based system that integrates directly into the Godot scene tree, allowing developers to visually design and organize complex AI logic in a structured and intuitive way.
    Downloads: 0 This Week
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  • 16
    Codeflash

    Codeflash

    Optimize your code automatically with AI

    Codeflash is a general-purpose optimizer for Python that uses advanced large language models (LLMs) to automatically generate, test, and benchmark multiple optimization ideas, then creates merge-ready pull requests with the best improvements for your code. Optimize an entire existing codebase by running codeflash --all. Automate optimizing all future code you will write by installing Codeflash as a GitHub action. Optimize a Python workflow python myscript.py end-to-end by running codeflash...
    Downloads: 1 This Week
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  • 17
    IDA Pro MCP

    IDA Pro MCP

    MCP Server for IDA Pro

    The IDA Pro MCP Server is a Model Context Protocol (MCP) server designed to integrate with IDA Pro, a popular disassembler and debugger. It enables AI assistants to interact with IDA Pro, facilitating tasks such as code analysis and reverse engineering. ​
    Downloads: 9 This Week
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  • 18
    Open-LLM-VTuber

    Open-LLM-VTuber

    Open source AI VTuber platform with voice chat and Live2D avatars

    Open-LLM-VTuber is an open source platform designed to create AI-powered VTuber characters that can interact with users through voice and animated avatars. It enables hands-free conversations with large language models by combining speech recognition, language processing, and text-to-speech synthesis into a single system. Users can speak directly to the AI character, and the system can respond with a generated voice while animating a Live2D avatar to simulate a talking virtual personality....
    Downloads: 13 This Week
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  • 19
    Skill Scanner

    Skill Scanner

    Security Scanner for Agent Skills

    This repository is a public security-focused scanning tool intended to analyze and assess AI agent skills for potential issues, quality concerns, and vulnerabilities. It acts as a scanner that inspects Agent Skills packages to flag structural problems, inconsistencies, or security flaws before they are deployed or integrated into agent workflows. Because agent skills can contain executable instructions and logic, scanning them for risky patterns is essential to prevent inadvertent...
    Downloads: 8 This Week
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  • 20
    Coze Studio

    Coze Studio

    An AI agent development platform with all-in-one visual tools

    Coze Studio is ByteDance’s open‑source, visual AI agent development platform. It offers no-code/low-code workflows to build, debug, and deploy conversational agents, integrating prompting, RAG-based knowledge bases, plugin systems, and workflow orchestration. Developed in Go (backend) and React/TypeScript (frontend), it uses a containerized microservices architecture suitable for enterprise deployment.
    Downloads: 6 This Week
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  • 21
    Onyx

    Onyx

    Gen-AI Chat for Teams

    Onyx is an AI platform designed to integrate seamlessly with your company's documents, applications, and team members. It offers a feature-rich chat interface and supports integration with various Large Language Models (LLMs). Onyx ensures synchronized knowledge and access controls across over 40 connectors, including Google Drive, Slack, Confluence, and Salesforce. Users can create custom AI agents with unique prompts and actions, and deploy Onyx securely on various platforms, from laptops...
    Downloads: 2 This Week
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  • 22
    CoPaw

    CoPaw

    Your Personal AI Assistant; easy to install, deploy on local or coud

    CoPaw is a personal AI assistant designed to run on your own machine or in the cloud, giving you full control over memory, models, and data. Built by the AgentScope team, it connects to multiple chat platforms—including DingTalk, Feishu, QQ, Discord, iMessage, and more—through a single unified assistant. CoPaw supports both cloud-based LLM providers and fully local models such as llama.cpp, MLX, and Ollama, allowing you to operate without API keys if preferred. It includes a browser-based...
    Downloads: 7 This Week
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  • 23
    Self-Operating Computer

    Self-Operating Computer

    A framework to enable multimodal models to operate a computer

    The Self-Operating Computer Framework is an innovative system that enables multimodal models to autonomously operate a computer by interpreting the screen and executing mouse and keyboard actions to achieve specified objectives. This framework is compatible with various multimodal models and currently integrates with GPT-4o, o1, Gemini Pro Vision, Claude 3, and LLaVa. Notably, it was the first known project to implement a multimodal model capable of viewing and controlling a computer screen....
    Downloads: 7 This Week
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  • 24
    PyGPT

    PyGPT

    Open source personal AI Assistant for Linux, Windows and Mac

    PyGPT is a desktop application that allows you to talk to OpenAI's LLM models such as GPT4 and GPT3 using your own computer and OpenAI API. It allows you to talk in chat mode and in completion mode, as well as generate images using DALL-E 2. PyGPT also adds access to the Internet for GPT via Google Custom Search API and Wikipedia API and includes voice synthesis using Microsoft Azure Text-to-Speech API. Moreover, the application has implemented context memory support, context storage,...
    Downloads: 8 This Week
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  • 25
    SafeClaw

    SafeClaw

    Chat with it via text and voice

    SafeClaw is an open-source, entirely local alternative to cloud-based AI assistants like OpenClaw, enabling users to build a personal assistant that runs on their own machine without incurring API usage charges or exposing data to third-party services. It emphasizes privacy and predictability by using traditional programming, rule-based intent parsing, and established machine learning tools rather than large language models, meaning there are no per-token API costs and deterministic...
    Downloads: 1 This Week
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