Showing 38941 open source projects for "linux system"

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  • 1
    clawchief

    clawchief

    Turn your OpenClaw into a Chief of Staff

    clawchief is an agent orchestration and management layer designed to coordinate and control multiple AI agents within structured workflows, acting as a central authority that assigns tasks, monitors execution, and ensures coherence across complex operations. The system is built around the idea of hierarchical control, where a “chief” agent oversees subordinate agents and directs their activities based on high-level objectives. This approach allows for more predictable and organized...
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  • 2
    MetaClaw

    MetaClaw

    Just talk to your agent

    MetaClaw is an AI or agent-oriented system that appears to focus on advanced control, coordination, or training of autonomous agents, potentially within reinforcement learning or tool-using environments. The project likely emphasizes meta-level reasoning, where agents are not only executing tasks but also adapting their strategies based on feedback and performance signals. It may incorporate mechanisms for learning from interactions, improving decision-making over time, and generalizing...
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  • 3
    GSD 2

    GSD 2

    A powerful meta-prompting, context engineering

    GSD 2 is a project focused on automating and streamlining development workflows through structured build systems and tooling. It aims to simplify the process of configuring, building, and deploying applications by providing predefined templates and automation scripts. The system is designed to reduce manual setup and improve consistency across development environments. It supports modular configurations, allowing users to adapt the build process to different project requirements. The project...
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  • 4
    Actual

    Actual

    A local-first personal finance app

    Actual is a local-first personal finance application designed to give users full control over their budgeting and financial data without relying on centralized cloud services. It is built using Node.js and operates with a synchronization layer that allows users to keep their data consistent across multiple devices while still maintaining ownership of their information. The platform emphasizes privacy and offline functionality, meaning users can manage their finances even without an internet...
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  • 5
    LabClaw

    LabClaw

    Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists)

    LabClaw is an open-source AI experimentation and agent orchestration platform designed to help developers build, test, and iterate on complex autonomous workflows in a controlled and modular environment. It provides a framework for composing multiple tools, prompts, and execution steps into structured pipelines that can be reused and evaluated across different scenarios. The system emphasizes experimentation, allowing users to run multiple variations of agent workflows, compare outputs, and...
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  • 6
    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. Behavior trees provide a modular approach to decision-making, making it easier to manage large and adaptive AI systems...
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  • 7
    what-to-eat

    what-to-eat

    An AI-based intelligent recipe generation platform

    what-to-eat is an AI-powered recipe generation platform that helps users decide what to cook by generating customized recipes based on ingredients, cuisine preferences, and dietary considerations. The application combines modern frontend technologies with large language models to create a fully interactive cooking assistant that can produce detailed recipes, nutritional analysis, and even visual representations of dishes. It supports a wide range of cuisines, including traditional Chinese...
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  • 8
    OpenPlanter

    OpenPlanter

    Language-model investigation agent with a terminal UI

    OpenPlanter is an open-source Python project focused on building an intelligent automated planting or gardening system powered by software control and data processing. The repository is designed to help developers and hobbyists create programmable plant management workflows that can monitor, schedule, and optimize growing conditions. It emphasizes automation and extensibility, allowing integration with sensors, environmental data, and control logic for smart cultivation setups. The system is...
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  • 9
    Claude Code PM

    Claude Code PM

    Project management system for Claude Code using GitHub Issues

    Claude Code PM is an open-source project management system designed to structure AI-assisted software development workflows using Claude Code’s command interface combined with native GitHub issues and Git worktrees. Instead of relying on separate project management tools, CCPM uses GitHub issues as the single source of truth, helping teams turn product requirements documents into trackable tasks and epics with full traceability throughout the development lifecycle. It supports parallel...
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  • 10
    Auto-Deep-Research

    Auto-Deep-Research

    Your Fully-Automated Personal AI Assistant

    Auto-Deep-Research is a system designed to fully automate deep research workflows using language models, retrieval, planning, and multi-stage reasoning to produce structured research artifacts such as surveys, benchmarks, reports, and even prototypes without heavy human intervention. Users provide a research topic or multifaceted goal, and the system autonomously breaks the objective down into subtasks like literature collection, critical summarization, cross-comparison, citation extraction,...
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  • 11
    CheckCle

    CheckCle

    CheckCle is a self-hosted, open-source monitoring platform

    CheckCle is a lightweight CLI tool focused on automating and measuring software project quality by running a variety of checks (linting, formatting, tests, type-checking, and security scans) in a unified, streamlined workflow designed to fit into local development, CI/CD, and pre-commit pipelines. Rather than manually configuring multiple tools, developers define a simple config file that tells checkcle which checks to run and what standards to enforce, letting teams maintain consistent code...
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  • 12
    Meta Agents Research Environments (ARE)

    Meta Agents Research Environments (ARE)

    Meta Agents Research Environments is a comprehensive platform

    Meta Agents Research Environments (ARE) is a simulation and benchmarking platform. It is designed to evaluate AI agents in dynamic, evolving, multi-step tasks. Unlike static benchmarks, ARE supports environments where agents must adapt to changes over time and reason over sequences of actions. It interacts with applications and faces uncertainty. The included Gaia2 benchmark offers 800 scenarios across multiple “universes”. It can test reasoning, memory, tool use, and adaptability....
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  • 13
    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. In Fairlearn, we define whether an AI system is behaving unfairly in terms...
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  • 14
    EKS Distro Repository

    EKS Distro Repository

    Amazon EKS Distro (EKS-D) is a Kubernetes distribution

    Amazon EKS Distro (EKS-D) is a Kubernetes distribution based on and used by Amazon Elastic Kubernetes Service (EKS) to create reliable and secure Kubernetes clusters. With EKS-D, you can rely on the same versions of Kubernetes and its dependencies deployed by Amazon EKS. This includes the latest upstream updates, as well as extended security patching support. EKS-D follows the same Kubernetes version release cycle as Amazon EKS, and we provide the bits here. EKS-D provides the same software...
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  • 15
    XPipe

    XPipe

    Your entire server infrastructure at your fingertips

    Introducing the brand-new shell connection hub and remote file manager that is ready to take on the challenges of modern infrastructure. XPipe takes a completely new approach to handling shell connections, which makes it possible to provide features that you can't find anywhere else. Explore what makes XPipe stand out. All SSH user and system configuration settings are automatically applied. Your existing SSH agent can be utilized to securely authenticate, there is no need to provide your...
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  • 16
    MPI.jl

    MPI.jl

    MPI wrappers for Julia

    This is a basic Julia wrapper for the portable message-passing system Message Passing Interface (MPI). Inspiration is taken from mpi4py, although we generally follow the C and not the C++ MPI API. (The C++ MPI API is deprecated.) MPI is based on a single program, multiple data (SPMD) model, where multiple processes are launched running independent programs, which then communicate as necessary via messages. As the main entry point for users, MPI.jl provides a high-level interface which...
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  • 17
    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive...
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  • 18
    jasypt-spring-boot

    jasypt-spring-boot

    Jasypt integration for Spring boot

    Jasypt Spring Boot provides Encryption support for property sources in Spring Boot Applications. There are 3 ways to integrate just-spring-boot in your project. And encryptable properties will be enabled across the entire Spring Environment (This means any system property, environment property, command line argument, application.properties, yaml properties, and any other custom property sources can contain encrypted properties) Jasypt uses an StringEncryptor to decrypt properties. For all 3...
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  • 19
    ODD Platform

    ODD Platform

    First open-source data discovery and observability platform

    Unlock the power of big data with OpenDataDiscovery Platform. Experience seamless end-to-end insights, powered by unprecedented observability and trust - from ingestion to production - while building your ideal tech stack! Democratize data and accelerate insights. Find data that fits your use case and discover hints left by your peers to leverage existing knowledge. Explore tags, ownership details, links to other sources and other information to shorten and simplify data discovery phase....
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  • 20
    Pothos GraphQL

    Pothos GraphQL

    Pothos GraphQL is library for creating GraphQL schemas in typescript

    Pothos is a plugin based GraphQL schema builder for typescript. It makes building graphql schemas in typescript easy, fast and enjoyable. The core of Pothos adds 0 overhead at runtime, and has graphql as its only dependency. Pothos is the most type-safe way to build GraphQL schemas in typescript, and by leveraging type inference and typescript's powerful type system Pothos requires very few manual type definitions and no code generation. Pothos has a unique and powerful plugin system that...
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  • 21
    Goss

    Goss

    Quick and Easy server testing/validation

    For testing docker containers see the dgoss wrapper. Also, user submitted wrapper scripts for Kubernetes kgoss and Docker Compose dcgoss. Goss is a YAML-based serverspec alternative tool for validating a server’s configuration. It eases the process of writing tests by allowing the user to generate tests from the current system state. Once the test suite is written they can be executed, waited-on, or served as a health endpoint. An initial set of tests can be derived from the system state by...
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  • 22
    ELisp Tree-sitter

    ELisp Tree-sitter

    Tree-sitter bindings for Emacs Lisp

    tree-sitter is an Emacs binding for Tree-sitter, an incremental parsing system. It aims to be the foundation for a new breed of Emacs packages that understand code structurally. Faster, fine-grained code highlighting. More flexible code folding. Structural editing (like Paredit, or even better) for non-Lisp code. More informative indexing for imenu. The author of Tree-sitter articulated its merits a lot better in this Strange Loop talk. The minor mode tree-sitter-mode provides a buffer-local...
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  • 23
    Imagen - Pytorch

    Imagen - Pytorch

    Implementation of Imagen, Google's Text-to-Image Neural Network

    Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior...
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  • 24
    AutoKeras

    AutoKeras

    AutoML library for deep learning

    AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface. AutoKeras would search for the...
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  • 25
    Jina

    Jina

    Build cross-modal and multimodal applications on the cloud

    Jina is a framework that empowers anyone to build cross-modal and multi-modal applications on the cloud. It uplifts a PoC into a production-ready service. Jina handles the infrastructure complexity, making advanced solution engineering and cloud-native technologies accessible to every developer. Build applications that deliver fresh insights from multiple data types such as text, image, audio, video, 3D mesh, PDF with Jina AI’s DocArray. Polyglot gateway that supports gRPC, Websockets, HTTP,...
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