Showing 2064 open source projects for "system linux"

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  • 1
    Fast Jev Compaction

    Fast Jev Compaction

    Claude Code plugin that replaces the compaction summary

    Fast Jev Compaction is a Claude Code plugin and npm library that replaces traditional conversation summarization with selective context pruning. Instead of rewriting older messages, it asks Jev to decide which tool calls and results are still useful. Stale tool interactions can be removed or truncated, while retained content stays verbatim and in its original order. User and assistant text is preserved rather than compressed into a generated summary. Recent messages can be pinned so they are...
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  • 2
    Sprix SAGE Router

    Sprix SAGE Router

    State-aware SELF/COLLABORATE/HANDOFF routing for A2A agent networks

    Sprix SAGE Router is an open-source routing layer for coordinating agents in Agent2Agent networks. It decides whether an active agent should continue alone, recruit collaborators, or hand a task to another specialist. Routing decisions account for current progress, capability coverage, context-transfer costs, permissions, budgets, and deadlines. The system assigns remaining requirements to agents through task dependency graphs and estimates execution schedules. It learns contextual...
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  • 3
    tuicr

    tuicr

    A code review TUI with vim keybindings

    tuicr is a terminal user interface for reviewing code changes with Vim-style keyboard controls. It presents all changed files as one continuous GitHub-like diff that developers can navigate without leaving the terminal. Reviewers can attach comments to individual lines, line ranges, files, or the entire review. Progress can be tracked at the file or hunk level and restored across later sessions. The tool can inspect uncommitted changes, commit ranges, GitHub pull requests, and GitLab merge...
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  • 4
    Hiring Agent

    Hiring Agent

    AI agent to evaluate and score resumes

    Hiring Agent is an AI-powered resume evaluation pipeline for screening technical candidates. It reads a resume PDF and converts the content into Markdown-like text. It then uses a local or hosted language model to extract structured candidate information into sectioned JSON. The system can enrich that resume data with GitHub profile and repository signals when a profile is available. After the data is collected, it produces an explainable evaluation with category scores, supporting evidence,...
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  • 5
    HRM-Text

    HRM-Text

    1B text generation model based on the HRM architecture

    HRM-Text is a one-billion-parameter text generation model and pretraining framework based on the Hierarchical Reasoning Model architecture. It is designed to make foundation model pretraining more accessible by reducing compute and data requirements compared with traditional scaling-heavy approaches. The system combines hierarchical recurrent design, task-completion strengthening, and latent-space reasoning. Its training stack includes PrefixLM sequence packing, FlashAttention 3 kernels,...
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  • 6
    SkillOpt

    SkillOpt

    Text-space optimizer that trains reusable natural-language skills

    SkillOpt is a Microsoft research project for improving frozen LLM agents by optimizing reusable natural-language skill documents. Instead of changing model weights, it treats a compact skill file as the trainable state of the agent. The system learns from agent rollouts, reflection, bounded edits, and validation gates to produce better instructions over time. Its output is a deployable best_skill.md artifact that can be reused across agent tasks. The project is focused on making agents more...
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  • 7
    oracle

    oracle

    Ask the oracle when you're stuck. Invoke GPT-5 Pro

    oracle is an experimental AI-focused project by Peter Steinberger that appears centered on advanced reasoning, assistant orchestration, or intelligent workflow automation within modern AI ecosystems. The project reflects Steinberger’s broader focus on agentic systems, local-first AI tooling, and developer-oriented automation utilities. oracle likely explores structured interaction between language models, tools, and autonomous execution environments while emphasizing modularity and...
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  • 8
    Magazine Web PPT

    Magazine Web PPT

    A Claude Code Skill that turns prompts into magazine-style HTML decks

    Magazine Web PPT is a specialized AI skill set designed to enhance the creation and structuring of PowerPoint presentations. It provides guidance on slide organization, storytelling, and visual design principles tailored for professional presentations. The system helps users transform raw ideas into coherent slide decks with clear messaging and logical flow. It emphasizes effective communication through structured layouts and concise content. The project is particularly useful for business,...
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  • 9
    SocratiCode

    SocratiCode

    Enterprise-grade (40m+ LOC) codebase intelligence

    SocratiCode is an AI-assisted learning tool that applies the Socratic method to programming education, guiding users through problem-solving rather than directly providing answers. It encourages critical thinking by asking structured questions that lead developers toward discovering solutions on their own. The system is designed to improve understanding of programming concepts through iterative reasoning and dialogue. It can be used to practice coding challenges, debug logic, and explore...
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  • 10
    Flow-Next

    Flow-Next

    Plan-first AI workflow plugin for Claude Code, OpenAI Codex

    Flow-Next is a workflow orchestration tool designed to manage complex processes by structuring tasks into organized and repeatable pipelines. It focuses on improving productivity by allowing users to define workflows that can be executed step by step or in parallel. The system emphasizes modularity, enabling tasks to be broken down into smaller components that can be reused across different workflows. It supports integration with various tools and services, making it adaptable to different...
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  • 11
    Claude Context

    Claude Context

    Code search MCP for Claude Code

    Claude Context is a tool designed to enhance the contextual understanding of large language models by managing and injecting relevant information into prompts. It focuses on improving response quality by ensuring that models have access to the most relevant data when generating outputs. The system integrates with vector databases and retrieval systems, enabling efficient storage and retrieval of contextual information. It supports workflows such as retrieval-augmented generation, where...
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  • 12
    GoDex

    GoDex

    AI coding agent

    GoDex is a developer-focused tool designed to enhance code exploration and understanding through AI-assisted workflows. It provides an interface that allows users to analyze codebases, generate insights, and interact with code using natural language queries. The system is built to improve productivity by reducing the time required to understand complex projects or unfamiliar code structures. It integrates with language models to provide contextual explanations, summaries, and suggestions....
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  • 13
    LLM Telegram Bot

    LLM Telegram Bot

    A Telegram bot for Large Language Models

    LLM Telegram Bot is a self-hosted Telegram chatbot that connects messaging interactions with large language models, typically powered by Ollama or similar backends. The project is designed to provide a customizable AI assistant that can operate within Telegram conversations, supporting dynamic responses based on user input and configurable parameters. It includes features such as conversation memory, allowing the bot to maintain context across multiple messages and provide more coherent...
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  • 14
    Markdown Viewer Agent Skills

    Markdown Viewer Agent Skills

    Opinionated skills for AI coding agents to create stunning diagrams

    Markdown Viewer Agent Skills is a repository that provides a collection of modular AI “skills” designed to extend the capabilities of agents or tools that operate on markdown-based workflows. These skills are typically structured as self-contained instruction sets that define how an AI should perform specific tasks, such as formatting, analysis, or content transformation. The project emphasizes simplicity and composability, allowing developers to integrate these skills into existing systems...
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  • 15
    Understand Anything

    Understand Anything

    Turn any codebase into an interactive knowledge graph

    Understand-Anything is an AI-driven tool designed to help users deeply understand any topic by generating structured explanations, summaries, and breakdowns. It focuses on transforming complex or unfamiliar subjects into clear, step-by-step explanations that are easier to grasp. The system leverages language models to provide layered insights, allowing users to explore topics at different levels of detail. It is particularly useful for learning, research, and quick comprehension of new...
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  • 16
    LeWorldModel

    LeWorldModel

    Official code base for LeWorldModel: Stable End-to-End Joint-Embedding

    LeWorldModel is a minimalist tiling window manager designed for the X11 windowing system, focusing on simplicity, performance, and efficient use of screen space. It provides automatic window tiling behavior, organizing application windows into structured layouts without requiring manual resizing or positioning. The project emphasizes a lightweight design, minimizing resource usage while maintaining responsiveness and stability. It is highly configurable through source code or configuration...
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  • 17
    CodeMachine

    CodeMachine

    CLI tool for multi-agent workflows and automated code generation

    CodeMachine CLI is a command-line orchestration engine designed to run coordinated multi-agent workflows locally. It enables developers to transform high-level specifications into production-ready code by managing planning, architecture, implementation, testing, and validation within a unified environment. CodeMachine CLI supports parallel execution through multiple specialized agents, allowing faster development cycles and scalable automation. Built for flexibility, it can handle anything...
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  • 18
    AI-Crawler

    AI-Crawler

    Crawl a website starting from a URL, find relevant pages

    AI Crawler is an experimental AI-powered web crawling and data extraction tool that uses natural language prompts to guide the discovery and retrieval of relevant information across websites. Unlike traditional web scrapers that rely on static selectors and manual scripting, it uses AI to dynamically identify and prioritize pages based on user intent, making it more flexible and resilient to changes in website structure. Users can define their data requirements in plain English, and the...
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  • 19
    Biomni

    Biomni

    Biomni: a general-purpose biomedical AI agent

    Biomni is a general-purpose biomedical AI agent designed to autonomously perform complex research tasks across a wide range of scientific domains, combining language model reasoning with structured planning and execution. It integrates retrieval-augmented generation with code-based execution, allowing it to access external knowledge, process data, and generate testable hypotheses in scientific workflows. The system is built to support researchers by automating repetitive and time-consuming...
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  • 20
    agent heroes

    agent heroes

    Generate, animate and schedule your AI characters

    agentheroes is an open-source framework focused on building, orchestrating, and deploying AI agents that can collaborate to complete complex tasks through structured workflows. The project emphasizes multi-agent systems where different agents are assigned roles, responsibilities, and tools, allowing them to interact and coordinate toward a shared objective. It provides abstractions for defining agent behavior, communication patterns, and task execution pipelines, enabling developers to build...
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  • 21
    Vibe Vibe

    Vibe Vibe

    The First Systematic Vibe Coding Tutorial

    Vibe Vibe is an open-source educational platform and tutorial system designed to teach AI-assisted programming, also known as “vibe coding,” through a structured and beginner-friendly learning path. The project is aimed at users with little to no programming experience, guiding them from initial ideas to fully deployed applications using natural language interactions with AI tools. It introduces a paradigm shift where coding becomes a conversational process, allowing users to build software...
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  • 22
    NeMo Retriever Library

    NeMo Retriever Library

    Document content and metadata extraction microservice

    NeMo Retriever Library is a scalable microservice framework designed for extracting, structuring, and enriching content from documents to support downstream generative AI applications. It processes various document types by splitting them into components such as text, tables, charts, and images, and then applies OCR and contextual analysis to convert them into structured data formats. The system is built on NVIDIA NIM microservices, enabling high-performance parallel processing and efficient...
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  • 23
    ShoppingAgent

    ShoppingAgent

    Custom Chinese chatbot with Seq2Seq, GPT, and agent features

    ShoppingAgent is an open source Chinese conversational AI system that allows users to build and train their own chatbot using custom datasets. It provides multiple implementations of chatbot architectures, including traditional Seq2Seq models as well as newer GPT-style approaches, reflecting the evolution of conversational AI techniques. ShoppingAgent is structured to support experimentation across different deep learning frameworks such as TensorFlow, PyTorch, and MindSpore, giving...
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  • 24
    mosaicml composer

    mosaicml composer

    Supercharge Your Model Training

    composer is a deep learning training framework built on PyTorch and designed to make large-scale model training more efficient, scalable, and customizable. At the center of the project is a highly optimized Trainer abstraction that simplifies the management of training loops, parallelization, metrics, logging, and data loading. The framework is intended for modern workloads that may span anything from a single GPU to very large distributed training environments, which makes it suitable for...
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  • 25
    All-in-RAG

    All-in-RAG

    Big Model Application Development Practice 1

    All-in-RAG is an open-source educational project designed to teach developers how to build applications using retrieval-augmented generation techniques. The repository provides a structured learning path that covers both theoretical foundations and practical implementation steps for RAG systems. It explains the full development pipeline required to create knowledge-aware AI assistants, including data preparation, document indexing, vector embedding generation, and retrieval strategies. The...
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