Search Results for "ai for linux command" - Page 100

Showing 21583 open source projects for "ai for linux command"

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    Build Agents and Models on One Platform

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  • 1
    Pi MCP Adapter

    Pi MCP Adapter

    Token-efficient MCP adapter for Pi coding agent

    Pi MCP Adapter connects Model Context Protocol servers to Pi while minimizing the context consumed by large tool schemas. Instead of loading every MCP tool definition into the conversation, it exposes a compact proxy and discovers individual capabilities only when they are needed. Servers are started lazily, which avoids running integrations that a session never uses. The adapter automatically recognizes standard project and user MCP configuration files and can help import compatible...
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  • 2
    ARC-AGI-1 Task Generator

    ARC-AGI-1 Task Generator

    Generates original ARC-AGI-1-style tasks distribution-matched

    ARC-AGI-1 Task Generator creates new ARC-style reasoning tasks whose distribution is designed to resemble the public ARC-AGI-1 evaluation set. It provides fresh problems that models are less likely to have encountered during training or previous evaluation. The project is intended to complement public benchmark scores by testing whether reasoning abilities transfer to newly generated examples. Generated tasks use the standard ARC train-and-test JSON structure. This makes the output...
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  • 3
    img2obj

    img2obj

    Codex plugin that turns attached object images into code-only

    img2obj is a Codex plugin that reconstructs an object from a reference image as procedural Three.js code rather than extracting or downloading a mesh. It first checks whether the image is suitable, then creates an ObjectSculptSpec describing geometry, materials, hierarchy, pivots, sockets, and visual priorities. Reconstruction proceeds through blockout, form, look development, and interaction phases so details are added in a controlled order. The plugin supports hard-surface objects, organic...
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  • 4
    WASTE

    WASTE

    Run the full 2.78-trillion-parameter Kimi K3 model

    WASTE is an embeddable C inference engine for running extremely large mixture-of-experts models when the weights exceed available RAM. It keeps the shared model trunk in memory and streams only the experts selected for each token from fast NVMe storage. A bounded cache reuses recently needed experts, while lookahead routing begins disk reads before the next layer requires them. Its main target is the full 2.78-trillion-parameter Kimi K3 model, including multimodal image input. The engine has...
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  • 5
    SimpleEnglish

    SimpleEnglish

    Agent skill: make LLMs write docs in ASD-STE100

    SimpleEnglish is a portable agent skill that makes language models write technical documentation in ASD-STE100 Simplified Technical English. It replaces vague, promotional, and overly complex AI prose with short, direct, testable statements. The instructions enforce controlled practices such as active voice, simple tenses, consistent terminology, limited sentence length, and one instruction per sentence. It is designed for documentation, error messages, runbooks, incident reports, release...
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  • 6
    Instatic

    Instatic

    The open-source alternative to Webflow, Framer and WordPress

    Instatic is a self-hosted visual content management system that combines editing, content, publishing, media, authentication, and forms in one Bun server. Its canvas supports responsive breakpoint editing, reusable components, templates, loops, design tokens, and structured content collections. An AI agent can build or modify editable page nodes using OpenAI, Claude, OpenRouter, or local Ollama models. Publishing generates semantic HTML and compact CSS, with static pages written to disk...
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  • 7
    Kimi Linear

    Kimi Linear

    An expressive, efficient attention architecture

    Kimi Linear is a hybrid linear attention architecture developed for efficient language modeling across short, long-context, and reinforcement learning workloads. Its core mechanism, Kimi Delta Attention, refines the gated delta rule with fine-grained controls for managing finite-state recurrent memory. The architecture combines KDA and global Multi-head Latent Attention layers at a 3:1 ratio to preserve model quality while reducing memory demands. Released Base and Instruct checkpoints...
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  • 8
    riddle

    riddle

    The diary of Tom Riddle for the reMarkable Paper Pro

    Riddle turns a reMarkable Paper Pro into an interactive AI-powered version of Tom Riddle's enchanted diary. Users write directly on the e-ink page, pause, and watch their ink fade before a handwritten response appears stroke by stroke. The Rust application captures pressure-sensitive pen events, converts completed pages to images, and sends them to a vision-capable language model. Responses are transformed into thin pen paths and animated through either a windowed display or a low-latency...
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  • 9
    Logto

    Logto

    Authentication and authorization infrastructure for SaaS and AI apps

    Logto is an open-source authentication and authorization platform built for SaaS, AI products, and modern developer teams. It helps teams add secure sign-in, sign-up, user management, organization support, and access control without building identity infrastructure from scratch. The project is based on standards such as OIDC, OAuth 2.1, and SAML, making it suitable for web apps, mobile apps, APIs, machine-to-machine access, and enterprise integrations. It supports multi-tenancy, role-based...
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  • 10
    ORG-2

    ORG-2

    Open-source Cursor-style agent IDE

    ORG-2 is an open-source agentic development framework built with Rust and Tauri. It presents AI agents as persistent, observable collaborators inside a structured software organization rather than as isolated coding assistants. The project focuses on reviewability, control, replayable execution, cross-session memory, and shared workspace state. It supports local-first execution and is designed to stay lightweight on disk. ORG2 includes GUI, CLI, terminal, Git, browser, LSP, timeline, and...
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  • 11
    MiMo Audio

    MiMo Audio

    Audio Language Models are Few-Shot Learners

    MiMo Audio is an open-source audio language model project focused on few-shot learning across speech and audio tasks. It explores how large-scale next-token prediction can help audio models generalize from a few examples or simple instructions. The project includes MiMo-Audio-7B-Base and MiMo-Audio-7B-Instruct, along with a dedicated MiMo-Audio tokenizer. It supports audio understanding, speech intelligence, spoken dialogue, instruction-following audio generation, and text-to-speech-style...
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  • 12
    Agent Executor (AX)

    Agent Executor (AX)

    Google's open source distributed agent runtime

    Agent Executor (AX) is a Google research project for learning discrete choice models through differentiable maximum likelihood estimation. It is designed for situations where a model needs to predict choices from a finite set of alternatives, such as ranking, recommendation, preference modeling, or decision behavior analysis. The project provides JAX-based tools for defining and training choice models with automatic differentiation. It focuses on flexible model construction rather than a...
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  • 13
    Vercel Zero

    Vercel Zero

    The programming language for agents

    Zero is an experimental programming language from Vercel Labs designed with AI agents as first-class users. The project explores what a language, tooling system, and standard library might look like if agents need to read, debug, repair, and ship code reliably. It focuses on a small and regular language surface, structured diagnostics, predictable tooling, and machine-readable outputs. Zero is still pre-1 and intentionally unstable, so its syntax and APIs are meant for exploration rather...
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  • 14
    Traceway

    Traceway

    The only tool you need to know what is happening and how to fix it

    Traceway is an OpenTelemetry-native observability platform that brings logs, traces, metrics, exceptions, session replay, real user monitoring, and AI tracing into one open-source product. It is designed so teams can point an OTLP exporter at it without adding vendor-specific SDKs or extra collector glue. The platform is aimed at small and growing engineering teams that want practical visibility into what is happening inside their systems and how to fix issues faster. It can be self-hosted...
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  • 15
    3DCellForge

    3DCellForge

    AI-powered interactive 3D cell generation and exploration studio

    3DCellForge is an AI-powered 3D cell generation and exploration studio built as a polished browser prototype. It uses React, Vite, Three.js, React Three Fiber, Drei, and Framer Motion to create an interactive WebGL environment for exploring biological cell models. Users can rotate, zoom, inspect organelles, compare views, take notes, capture screenshots, and export or import GLB models. The project also supports optional image-to-3D generation through cloud providers and local backends,...
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  • 16
    Ollama-Laravel Package

    Ollama-Laravel Package

    Ollama-Laravel is a Laravel package providing seamless integration

    Ollama-Laravel Package is a PHP package designed to integrate local large language models into Laravel applications through a clean and idiomatic interface. It abstracts the Ollama API into a developer-friendly facade, allowing Laravel developers to interact with models using familiar patterns such as service containers, configuration files, and fluent method chaining. The package supports a wide range of AI capabilities including text generation, chat-based interactions, embeddings, and...
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  • 17
    Surmon.me

    Surmon.me

    Personal website and blog

    Surmon.me is a full-featured personal website and blog platform built with Vue and designed as part of a larger ecosystem of interconnected applications and services. The project functions as a server-side rendered (SSR) web application that delivers content dynamically while maintaining performance and SEO optimization. It is powered by a dedicated backend service called NodePress, which provides RESTful APIs for content management, data retrieval, and system operations. The platform is not...
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  • 18
    AsmJit

    AsmJit

    Low-latency machine code generation

    AsmJit is a low-level code generation library designed for dynamically creating machine code at runtime, enabling just-in-time (JIT) compilation for performance-critical applications. It provides a high-level API that abstracts away the complexity of writing raw assembly while still allowing fine-grained control over instruction generation. The library supports multiple architectures, including x86 and x64, making it versatile for cross-platform development. It is commonly used in...
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  • 19
    pi-autoresearch

    pi-autoresearch

    Autonomous experiment loop extension for pi

    pi-autoresearch is an automation-oriented research assistant project that focuses on orchestrating iterative information gathering, analysis, and synthesis workflows with minimal human intervention. It is designed to simulate a continuous research loop where queries are generated, refined, and expanded based on previous outputs, enabling deeper exploration of complex topics. The system likely integrates with external data sources or APIs to retrieve information and process it into structured...
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  • 20
    DeepProve

    DeepProve

    Framework to prove inference of ML models blazingly fast

    DeepProve is an advanced cryptographic framework designed to verify machine learning model inference using zero-knowledge proofs, enabling trustless validation of AI computations without exposing underlying data. The project focuses on zkML, a rapidly emerging field that combines machine learning with zero-knowledge cryptography to ensure both privacy and correctness. It supports neural network architectures such as multilayer perceptrons and convolutional neural networks, allowing...
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  • 21
    Pydantic Logfire

    Pydantic Logfire

    Python observability platform for tracing apps, metrics, and logs

    Pydantic Logfire is an observability platform designed to help developers monitor, analyze, and understand the behavior of their applications in real time. It is built by the team behind Pydantic and follows a philosophy of combining powerful capabilities with ease of use, making it accessible to entire engineering teams. Pydantic Logfire provides deep visibility into application performance by capturing traces, metrics, and logs through an OpenTelemetry-based architecture. It is...
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  • 22
    Cognita

    Cognita

    Open source RAG framework for building scalable modular AI apps

    Cognita is an open source framework designed to help developers build, organize, and deploy Retrieval-Augmented Generation (RAG) applications in a structured and production-ready way. It addresses the gap between quick experimentation in notebooks and the complexity of deploying scalable AI systems by introducing a modular and API-driven architecture. Cognita provides reusable components such as parsers, data loaders, embedders, retrievers, and query controllers, allowing teams to customize...
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  • 23
    Google Kubernetes Engine (GKE) Samples

    Google Kubernetes Engine (GKE) Samples

    Sample applications for Google Kubernetes Engine (GKE)

    Google Kubernetes Engine (GKE) Samples repository is a comprehensive collection of sample applications and reference implementations designed to demonstrate how to build, deploy, and manage workloads on Google Kubernetes Engine (GKE). It serves as a practical companion to official GKE tutorials, providing real, runnable code that illustrates how containerized applications are packaged, deployed, and scaled within Kubernetes clusters. The repository is organized into multiple categories such...
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  • 24
    docext

    docext

    An on-premises, OCR-free unstructured data extraction

    docext is a document intelligence toolkit that uses vision-language models to extract structured information from documents such as PDFs, forms, and scanned images. The system is designed to operate entirely on-premises, allowing organizations to process sensitive documents without relying on external cloud services. Unlike traditional document processing pipelines that rely heavily on optical character recognition, docext leverages multimodal AI models capable of understanding both visual...
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  • 25
    SpikingJelly

    SpikingJelly

    SpikingJelly is an open-source deep learning framework

    SpikingJelly is an open-source deep learning framework for spiking neural networks that is primarily built on top of PyTorch and aimed at neuromorphic computing research. The project provides the components needed to build, train, and evaluate neural models that communicate through discrete spikes rather than the continuous activations used in conventional artificial neural networks. This makes it especially relevant for researchers interested in biologically inspired computing, event-driven...
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