Showing 344 open source projects for "gnu/linux"

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  • 1
    Kheish

    Kheish

    Kheish: A multi-role LLM agent for tasks like code auditing

    Kheish is a framework designed for cybersecurity professionals to automate penetration testing tasks, providing tools to streamline security assessments.
    Downloads: 3 This Week
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  • 2
    DenchClaw

    DenchClaw

    Fully Managed OpenClaw Framework for all knowledge work ever

    DenchClaw is a local-first AI-powered CRM and productivity platform built on top of the OpenClaw framework, designed to transform a user’s entire computer into a programmable, agent-driven workspace. Unlike traditional cloud-based CRMs or AI tools, it runs entirely on the user’s machine and exposes a web interface locally, allowing full control over data, workflows, and automation without relying on external servers. The system combines database management, browser automation, and AI...
    Downloads: 4 This Week
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  • 3
    TinyClaw

    TinyClaw

    The original Tiny Claw as your personal autonomous AI companion

    TinyClaw is an open-source autonomous AI companion framework designed to make personal AI agents simpler, cheaper to run, and more accessible to individual users. The project is built from scratch with a deliberately small native core and a modular plugin architecture that allows capabilities to expand without turning the system into a heavy monolith. Its philosophy centers on creating a persistent AI companion that behaves more like a helpful digital partner than a purely configurable...
    Downloads: 0 This Week
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  • 4
    InfiAgent

    InfiAgent

    Build your own Cowork, AI Scientist and other SoTA Agents

    infiAgent is an open-source AI agent framework for building powerful, long-running autonomous agents capable of tackling complex tasks without collapsing under growing context or tool invocation histories. Designed as a “Multi-Level Agent” (MLA) system, it externalizes persistent state to the file system so that agents can operate over unlimited runtime without the need for token-intensive context compression, enabling workflows such as research paper drafting, experiments, coding, and...
    Downloads: 0 This Week
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  • 5
    AI-Trader

    AI-Trader

    100% Fully-Automated Agent-Native Trading

    AI-Trader is an open-source AI-powered quantitative trading framework designed to combine financial analysis, machine learning, and autonomous trading workflows into a unified research platform. The project integrates large language models, financial indicators, market analysis pipelines, and automated decision-making systems to support strategy generation and market prediction tasks. It is built to help researchers and developers experiment with AI-assisted trading strategies using...
    Downloads: 3 This Week
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  • 6
    Browserbase Skills

    Browserbase Skills

    Claude Agent SDK with a web browsing tool

    Browserbase Skills is a collection of reusable automation “skills” designed to enable AI agents to interact with web environments programmatically. It provides structured workflows that abstract browser actions such as navigation, form filling, and data extraction into composable building blocks. The system is intended to simplify the development of browser-based agents by offering prebuilt capabilities that can be orchestrated together. It integrates with headless browser infrastructure,...
    Downloads: 3 This Week
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  • 7
    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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  • 8
    Cheat on Content

    Cheat on Content

    Workflow that turns every post into a calibrated experiment

    Cheat on Content is an AI-assisted workflow for creators who want to make content performance measurable instead of relying on instinct alone. It turns every post into a structured experiment by asking creators to score ideas, make blind predictions, publish, review results after a defined time window, and evolve their own content rubric. Rather than generating posts for the creator, it focuses on sharpening judgment and helping users understand why certain content performs better. The...
    Downloads: 3 This Week
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  • 9
    Google Agent Skills

    Google Agent Skills

    Agent Skills for Google products and technologies

    Google Skills is a repository of modular “agent skills” designed to extend AI agents with structured knowledge about Google technologies and workflows. Each skill provides guidance, best practices, and procedural instructions that agents can use to perform tasks more effectively. The repository includes skills for services like BigQuery, Cloud Run, Firebase, and Kubernetes, as well as onboarding and architectural patterns. It is designed to integrate with agent platforms through a...
    Downloads: 3 This Week
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  • 10
    Open Agents

    Open Agents

    An open source template for building cloud agents

    The Open Agents project is an experimental platform developed to explore the design and deployment of open, composable AI agents. It focuses on enabling developers to create agents that can collaborate, execute tasks, and interact with tools in a structured environment. The framework provides abstractions for agent communication, task orchestration, and tool integration, allowing multiple agents to work together toward shared objectives. It emphasizes openness and interoperability, making it...
    Downloads: 3 This Week
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  • 11
    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: 3 This Week
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  • 12
    CAMEL AI

    CAMEL AI

    Finding the Scaling Law of Agents. A multi-agent framework

    The rapid advancement of conversational and chat-based language models has led to remarkable progress in complex task-solving. However, their success heavily relies on human input to guide the conversation, which can be challenging and time-consuming. This paper explores the potential of building scalable techniques to facilitate autonomous cooperation among communicative agents and provide insight into their "cognitive" processes. To address the challenges of achieving autonomous...
    Downloads: 3 This Week
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  • 13
    Vane

    Vane

    Vane is an AI-powered answering engine

    Vane is a privacy-focused AI-powered answering engine that combines web search, AI reasoning, and multiple language model providers into a locally controlled search experience. The platform supports both local LLMs through Ollama and cloud providers such as OpenAI, Claude, Gemini, and Groq, giving users flexibility in how queries are processed. It integrates web search through SearxNG while also supporting discussions, academic sources, image search, and video search to generate...
    Downloads: 3 This Week
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  • 14
    Codex plugin for Claude Code

    Codex plugin for Claude Code

    Use Codex from Claude Code to review code or delegate tasks

    Codex plugin for Claude Code is an integration layer that connects OpenAI Codex-style capabilities with agent-based coding environments, enabling seamless execution of coding tasks through structured plugins. The project is designed to extend the functionality of coding agents by allowing them to delegate tasks to Codex or similar models in a controlled and modular way. It likely provides abstractions for handling code generation, editing, and analysis while maintaining consistency across...
    Downloads: 3 This Week
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  • 15
    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: 3 This Week
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  • 16
    OpenClaw CN

    OpenClaw CN

    The Chinese version of OpenClaw

    OpenClaw-CN is a Chinese language community adaptation and localization of the OpenClaw project, focused on making a powerful open-source agent framework usable and understandable for Chinese-speaking developers. It includes translated documentation, localized examples, and language-specific nuances so that developers in the Chinese ecosystem can adopt and contribute without a language barrier. The repository mirrors the structure of the upstream project but adds Chinese translations of core...
    Downloads: 3 This Week
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  • 17
    MetaGPT

    MetaGPT

    The Multi-Agent Framework

    The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo. Assign different roles to GPTs to form a collaborative software entity for complex tasks. MetaGPT takes a one-line requirement as input and outputs user stories / competitive analysis/requirements/data structures / APIs / documents, etc. Internally, MetaGPT includes product managers/architects/project managers/engineers. It provides the entire process of a software company along with carefully orchestrated SOPs.
    Downloads: 3 This Week
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  • 18
    Android Use

    Android Use

    Automate native Android apps with AI using accessibility APIs

    android-action-kernel is an open source Python library designed to let AI agents control and automate native Android applications running on real devices or emulators. It fills a gap in automation tooling by focusing on mobile-first workflows where traditional browser or desktop-based automation doesn’t work; such as logistics, gig work, field operations, and other industries reliant on phones or tablets. The project works by using Android’s accessibility API to extract structured UI state...
    Downloads: 3 This Week
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  • 19
    Browser Use

    Browser Use

    Make websites accessible for AI agents

    Browser Use is an AI-powered browser automation framework designed to let agents interact with websites just like humans do. It enables developers and AI systems to perform complex online tasks such as form filling, data extraction, and navigation through natural language instructions. Built with Python and compatible with modern LLMs, it integrates seamlessly with tools like ChatBrowserUse, Google Gemini, and Anthropic models. The platform supports both open-source deployment and a fully...
    Downloads: 3 This Week
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  • 20
    MindsDB

    MindsDB

    Making Enterprise Data Intelligent and Responsive for AI

    MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types. MindsDB connects to diverse data sources and applications, and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making...
    Downloads: 0 This Week
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  • 21
    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: 3 This Week
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  • 22
    gpt-engineer

    gpt-engineer

    Full stack AI software engineer

    gpt-engineer is an open-source platform designed to help developers automate the software development process using natural language. The platform allows users to specify software requirements in plain language, and the AI generates and executes the corresponding code. It can also handle improvements and iterative development, giving users more control over the software they’re building. Built with a terminal-based interface, gpt-engineer is customizable, enabling developers to experiment...
    Downloads: 3 This Week
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  • 23
    TEN Framework

    TEN Framework

    TEN, a voice agent framework to create conversational AI.

    TEN (Transformative Extensions Network) is a voice agent framework for creating conversational AI applications, focusing on high performance and modularity.
    Downloads: 2 This Week
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  • 24
    AIChat

    AIChat

    All-in-one LLM CLI tool featuring Shell Assistant

    AIChat is a lightweight terminal-based chatbot powered by GPT models, enabling AI-driven conversations directly from the command line.
    Downloads: 2 This Week
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  • 25
    CubeSandbox

    CubeSandbox

    Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents

    CubeSandbox is a lightweight, high-performance sandboxing environment designed to securely run AI agents and untrusted code in isolated containers. Built in Rust, it focuses on enabling concurrent execution while maintaining strong isolation and low overhead. The system is optimized for scenarios where multiple AI agents need to execute tasks in parallel without compromising system integrity. It provides fast startup times and efficient resource management, making it suitable for large-scale...
    Downloads: 2 This Week
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