Showing 10 open source projects for "shell terminal template"

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  • 1
    Shell-AI

    Shell-AI

    LangChain powered shell command generator and runner CLI

    Shell-AI is an open-source command-line interface utility that allows users to generate and execute shell commands using natural language prompts. Instead of requiring users to remember complex command syntax, the tool lets them describe their intent in plain English and automatically suggests commands that accomplish the task. The system is powered by large language models and integrates with frameworks such as LangChain to interpret user requests and translate them into executable shell instructions. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Kimi Code CLI

    Kimi Code CLI

    Kimi Code CLI is your next CLI agent

    Kimi CLI is a command-line AI agent that brings an intelligent software development assistant directly into your terminal, helping you with coding tasks, shell operations, and workflow automation without leaving your command prompt. It supports an interactive shell-like user interface where you can chat with the agent, request code edits, run shell commands, and receive contextual suggestions as you work, creating a seamless blend of AI-augmented development and traditional terminal usage. ...
    Downloads: 7 This Week
    Last Update:
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  • 3
    nanocode

    nanocode

    Minimal Claude Code alternative. Single Python file, zero dependencies

    ...It implements a full agentic loop where the model can reason, decide when to use tools, execute those tools, and iterate until producing a final answer, making it useful for simple AI-assisted coding workflows. It includes a set of integrated tools such as read, write, edit, glob, grep, and bash that let the agent interact with the file system and shell commands directly from the terminal, and it keeps a conversation history with colored terminal output for readability. The project exemplifies how lightweight architectures can still support practical agent workflows without complex infrastructure, making it suitable for developers exploring agent frameworks or building custom coding assistants.
    Downloads: 0 This Week
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  • 4
    Devon

    Devon

    Open source AI pair programmer for coding, debugging, automation

    Devon is an open source AI-powered pair programming tool designed to assist developers with software engineering tasks through natural language interaction. It operates as an agent-based system that can explore codebases, edit files, and execute development workflows with minimal manual intervention. Devon uses a client-server architecture with a Python backend and multiple user interfaces, including a terminal interface and an Electron-based desktop application. Devon integrates with...
    Downloads: 2 This Week
    Last Update:
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  • 5
    Every Code

    Every Code

    Local AI coding agent CLI with multi-agent orchestration tools

    Every Code (often referred to simply as Code) is a fast, local AI-powered coding agent designed to run directly in the terminal environment. It is a community-driven fork of the Codex CLI, with a strong emphasis on improving real-world developer ergonomics and workflows. Every Code enhances the traditional coding assistant model by introducing multi-agent orchestration, allowing multiple AI agents to collaborate, compare solutions, and refine outputs in parallel. It supports integration with...
    Downloads: 1 This Week
    Last Update:
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  • 6
    Claude Code Tools

    Claude Code Tools

    Practical productivity tools for Claude Code, Codex-CLI

    ...The toolkit also provides safety mechanisms that prevent potentially dangerous shell commands from being executed automatically by AI agents.
    Downloads: 1 This Week
    Last Update:
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  • 7
    runprompt

    runprompt

    Run LLM prompts from your shell

    runprompt is an interactive command launcher and prompt utility that lets users bind shell commands, scripts, and workflows to quick keyboard shortcuts or natural-language queries, helping streamline repetitive terminal tasks and boost developer productivity. It functions as a lightweight, launcher-centric interface where you can type a phrase, partial command, or alias and have RunPrompt suggest or execute relevant actions instantly, reducing the need to memorize long commands or navigate complex directory structures. ...
    Downloads: 0 This Week
    Last Update:
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  • 8
    Open Interpreter

    Open Interpreter

    A natural language interface for computers

    Open Interpreter is an open-source tool that provides a natural-language interface for interacting with your computer. It lets large language models (LLMs) run code locally (Python, JavaScript, shell, etc.), enabling you to ask your computer to do tasks like data analysis, file manipulation, browsing, etc. in human terms (“chat with your computer”), with safeguards. Runs locally or via configured remote LLM servers/inference backends, giving flexibility to use models you trust or have...
    Downloads: 12 This Week
    Last Update:
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  • 9
    Everywhere

    Everywhere

    Context-aware desktop AI assistant that understands screen content

    Everywhere is a context-aware desktop AI assistant designed to interact directly with the content displayed on a user’s screen. It distinguishes itself from traditional AI tools by eliminating the need for manual input methods such as copying text or taking screenshots, instead allowing users to invoke assistance instantly through a shortcut. It can analyze on-screen information in real time and provide contextual responses, making it useful for tasks like troubleshooting errors, summarizing...
    Downloads: 0 This Week
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  • 10
    LLM Workflow Engine

    LLM Workflow Engine

    Power CLI and Workflow manager for LLMs (core package)

    LLM Workflow Engine is an open-source command-line framework designed to integrate large language models into automated workflows and developer environments. The platform allows users to interact with AI models directly from the terminal, enabling conversational AI access through shell commands and scripts. Instead of focusing solely on chat interactions, the system is built to embed LLM calls into larger automation pipelines where model outputs can drive decision making or trigger additional processes. Developers can construct structured workflows using configuration files and integrate them with tools such as Ansible playbooks or custom scripts to automate complex tasks. ...
    Downloads: 0 This Week
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