Showing 7 open source projects for "linux cli minimal"

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  • 1
    CLI Printing Press

    CLI Printing Press

    Reads official API docs, studies CLI and MCP servers

    CLI Printing Press is a Go-based tool that generates agent-ready command-line interfaces and MCP servers from APIs, websites, OpenAPI specs, or browser-captured HAR files. Instead of only wrapping endpoints, it studies the API, competing tools, useful workflows, authentication behavior, and hidden data opportunities before producing a more opinionated CLI. The generated tools are designed for AI agents first, with SQLite sync, offline search, structured output, compact modes, typed exit...
    Downloads: 2 This Week
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  • 2
    GitHub Agentic Workflows

    GitHub Agentic Workflows

    GitHub Agentic Workflows

    GitHub Agentic Workflows is an experimental CLI extension and framework for the gh GitHub CLI that lets developers author automation driven by natural language specifications instead of hand-written code, compiling those descriptions into GitHub Actions workflows that run AI agents (like Copilot, Claude Code, or Codex) on schedule or in response to repository events. By writing intent in markdown files, a developer can quickly generate .yml Actions workflows that perform tasks such as summarizing issues, automating triage, generating reports, or maintaining documentation, all without manually crafting YAML logic from scratch. ...
    Downloads: 5 This Week
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  • 3
    Defang

    Defang

    Defang CLI and sample projects

    Defang is a developer-centric platform that simplifies the process of developing, deploying, and debugging cloud applications. By leveraging AI-assisted tooling, Defang enables developers to swiftly transition from an idea to a deployed application on their preferred cloud provider. The platform supports multiple programming languages, including Go, JavaScript, and Python, allowing developers to start with sample projects or generate project outlines using natural language prompts. With a...
    Downloads: 18 This Week
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  • 4
    Codai

    Codai

    Codai is an AI code assistant that helps developers

    Codai is an AI code assistant designed to help developers efficiently manage their daily tasks through a session-based CLI, such as adding new features, refactoring, and performing detailed code reviews. What makes codai stand out is its deep understanding of the entire context of your project, enabling it to analyze your code base and suggest improvements or new code based on your context. This AI-powered tool supports multiple LLM providers, such as OpenAI, Azure OpenAI, Ollama, Anthropic,...
    Downloads: 7 This Week
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  • 5
    GoGogot

    GoGogot

    Lightweight self-hosted AI agent

    GoGogot is an experimental automation and agent-oriented project that appears to focus on simplifying task execution and orchestration through lightweight scripting and structured workflows. The system is likely designed to enable rapid execution of commands and processes, acting as a bridge between manual scripting and more advanced agent frameworks. It emphasizes simplicity and speed, allowing developers to define and run tasks without heavy configuration or overhead. The architecture...
    Downloads: 5 This Week
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  • 6
    kagent

    kagent

    Kubernetes native framework for building AI agents

    Kagent is a Kubernetes-native framework for building, deploying, and operating AI agents as first-class cloud-native workloads. It models core agent concepts declaratively using Kubernetes custom resources, so teams can manage agents similarly to other platform components via YAML, controllers, and standard cluster workflows. In kagent’s design, an “Agent” represents a system prompt plus a set of tools and other agents, along with an LLM configuration, making the agent definition portable...
    Downloads: 11 This Week
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  • 7
    grepai

    grepai

    Semantic Search & Call Graphs for AI Agents

    grepai is a privacy-first, semantic code search CLI designed to replace traditional keyword-based search with meaning-aware queries, letting developers and code tools find relevant code by what it does rather than just text matches. It builds a semantic index of a project using vector embeddings, enabling natural language queries like “authentication logic” to return contextually relevant functions and modules even when naming differs dramatically, making code exploration far more intuitive....
    Downloads: 6 This Week
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