tiycode — Gemini AI Agent
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    tiycode

    tiycode

    TiyAgents March 11, 2026
    3 copies 0 downloads

    TiyCode is an AI-first desktop coding agent. 一款践行 AI First 理念的桌面版 Vibe-Coding Agent

    <div align="center"> <img src="./public/app-icon.png" alt="TiyCode logo" width="120" /> <h1>TiyCode</h1> <p><strong>An AI-first desktop coding agent.</strong></p> <p>Designed for a new coding collaboration paradigm. Humans express goals, constraints, and feedback through conversation, while agents take the lead in understanding, execution, and forward progress.</p> <p> <a href="./README_zh.md">简体中文</a> </p> <br /> <img src="https://github.com/user-attachments/assets/e0f3fdb3-58a9-4216-ac6f-f67bb95ee4e5" alt="TiyCode screenshot" width="960" /> </div>

    Why TiyCode

    TiyCode <sub>/taɪ koʊd/</sub> is built for people who want coding to feel native to the AI era. Conversation is not a companion to the workflow here, but the starting point of it. You define goals, constraints, and feedback. The agent understands context, uses tools, and drives execution forward inside a real workspace.

    Around that collaboration model, TiyCode brings together Agent Profiles, workspace-based threads, code review, version control, terminal workflows, and an extensible runtime in one local-first desktop product.

    Highlights

    • AI-first coding collaboration. TiyCode is designed around the idea that humans express intent through conversation while agents take the lead in execution.
    • Agent Profiles. Mix models from different providers, tune response style, language, and custom instructions, and switch profiles flexibly for different kinds of work.
    • Three-tier model architecture. Each profile supports a Primary model for core reasoning, an Auxiliary model for helper tasks, and a Lightweight model for fast operations — with automatic fallback chains across tiers.
    • Multi-provider support. Connect to 13+ LLM providers out of the box — OpenAI, Anthropic, Google, Ollama, xAI, Groq, OpenRouter, Gemini, MiniMax, Kimi, and more — or add any OpenAI-compatible endpoint as a custom provider.
    • Workspace-centered execution. Threads stay grounded in the local

    Tags

    agentanthropicclaudegeminiopenaivibe-coding

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