Showing 4 open source projects for "ui"

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    Tokscale

    Tokscale

    A CLI tool for tracking token usage from OpenCode, Claude Code

    Tokscale is a CLI and terminal UI tool that tracks token usage and estimated cost across multiple AI coding assistants and development workflows. It treats tokens like a measurable resource, helping developers understand how much “AI energy” they are consuming over time and where it is being spent. The tool aggregates usage across supported platforms and presents it through interactive views that let users filter, sort, and explore trends without leaving the terminal.
    Downloads: 2 This Week
    Last Update:
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  • 2
    llmfit

    llmfit

    157 models, 30 providers, one command to find what runs on hardware

    llmfit is a terminal-based utility that helps developers determine which large language models can realistically run on their local hardware by analyzing system resources and model requirements. The tool automatically detects CPU, RAM, GPU, and VRAM specifications, then ranks available models based on performance factors such as speed, quality, and memory fit. It provides both an interactive terminal user interface and a traditional CLI mode, enabling flexible workflows for different user...
    Downloads: 16 This Week
    Last Update:
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  • 3
    Moltworker

    Moltworker

    Run OpenClaw on Cloudflare Workers

    ...With this setup, developers can host and interact with a personal AI assistant that maintains persistent conversations, integrates with chat platforms, and provides a control UI protected by Cloudflare Access. The project includes web UIs, Cloudflare configuration files, and scripts to authenticate devices, manage environment secrets, and enable optional services like persistent R2 storage for chat history.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Mysti

    Mysti

    AI coding dream team of agents for VS Code

    Mysti is a VS Code extension that provides a unified interface for AI coding assistants and agent workflows, with a strong emphasis on multi-agent collaboration. Instead of replacing the tools developers already use, it integrates with popular CLI-based coding assistants and routes work through a single, consistent UI inside the editor. The experience is organized around “personas” that change how the assistant approaches a task, such as architecture, debugging, security review, performance tuning, or refactoring, which helps structure the AI’s behavior for different goals. It also supports a brainstorm-style workflow where using more than one backend can produce competing solutions and then synthesize a best answer. ...
    Downloads: 0 This Week
    Last Update:
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