gobby — Gemini AI Agent
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    gobby

    gobby

    GobbyAI December 15, 2025
    15 copies 0 downloads

    A local-first daemon to unify your AI coding tools. Session tracking and handoffs across Claude Code, Gemini CLI, and Codex. An MCP proxy that discovers tools without flooding context. Task management with dependencies, validation, and TDD expansion. Agent spawning and worktree orchestration. Persistent memory, extensible workflows, and hooks.

    <!-- markdownlint-disable MD033 MD041 --> <p align="center"> <img src="logo.png" alt="Gobby" width="200" /> </p> <h1 align="center">Gobby</h1> <p align="center"> <strong>Local-first daemon and workflow control plane for AI coding tools.</strong> </p> <p align="center"> <a href="https://github.com/GobbyAI/gobby"><img src="built-with-gobby.svg" alt="Built with Gobby"></a> <a href="https://github.com/GobbyAI/gobby/blob/main/LICENSE.md"><img src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" alt="License"></a> <a href="https://github.com/GobbyAI/gobby/stargazers"><img src="https://img.shields.io/github/stars/GobbyAI/gobby?style=flat" alt="Stars"></a> <a href="https://github.com/GobbyAI/gobby/issues"><img src="https://img.shields.io/github/issues/GobbyAI/gobby" alt="Issues"></a> </p>

    Gobby runs as a long-lived local daemon that unifies AI coding CLIs like Claude Code, Gemini CLI, and Codex, giving them shared sessions, memory, workflows, and guardrails instead of yet another one-off helper script. Because Claude Code natively supports OpenAI-compatible endpoints, local model providers like LM Studio and Ollama work out of the box — the same Gobby workflows run against both cloud and local models without changing your setup.

    Gobby is built with Gobby. Most of this codebase was written by AI agents running through Gobby's own task system and workflows — over 10,000 tasks tracked and counting.

    Deterministic when you need it, autonomous when you do not — with hooks and workflows enforcing guardrails either way.


    Why Gobby exists

    Modern AI coding tools are powerful but fragmented: each CLI has its own idea of sessions, context, and tasks, and none of them give you a single place to coordinate agents across tools. They also tend to burn tokens on redundant MCP metadata, verbose shell output, and repeated code snippets instead of the information that actually matters to the current change.

    Gobby solves this by acting as the c

    Tags

    agentic-workflowai-agentsai-coding-assistantai-pair-programmingautonomous-agentsclaude-codeclicodexdeterministic-aideveloper-tools

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