Juice | An opensource, browser-based AI Coding Agent

Ayan Abrar — Tue, 08 Sep 2026 04:25:12 +0000

Juice is a lightweight, open-source alternative to tools like Cursor, Devin, and Claude Code, designed to run entirely client-side within a standard browser window.

Architecturally, it operates via a local Flask backend on your machine and communicates with LLM providers natively. It utilizes a bring-your-own-API-key model, with direct out-of-the-box support for Google AI Studio and OpenRouter. Because all communication occurs client-side, your source code and API keys remain local, private, and secure.

Key Capabilities

Agentic Execution Loop: Juice runs a full agentic loop. It chains tool calls, executes them locally on your machine, feeds the results back to the model, and iterates autonomously until the high-level request is complete.
6 Core System Tools: Built-in capabilities to read_file, write_file, edit_file (with red/green inline diff previews), list_dir, run_command, and perform local or SSH remote search_code.
UX Enhancements: Features full @filename autocomplete for referencing codebase files, URL context scraping (paste a URL and Juice fetches the text), live streaming token responses, and automatic session state persistence.

Quick Start & Installation

To run Juice locally, you only need Python and a few basic dependencies.

1. Clone & Install

git clone https://github.com
cd juice
pip install flask requests beautifulsoup4

2. Launch the Backend

python3 juice.py

3. Open in Browser

Navigate to http://localhost:5000 to input your API key, select your working directory, and start an autonomous coding session.

Technical Feedback Welcome

The project is fully open-source under the AGPLv3 license. As the tool is currently in alpha, I am looking for deep technical feedback from the developer community regarding:

Agent file-manipulation safety and terminal execution guards.
Token context window management optimizations.
General stability of the agentic loop when dealing with deeply nested repositories.

Repository: https://github.com/ayaangalaxy2012-hub/Juice

I'll be monitoring the comments below to answer any questions regarding the implementation, prompt engineering strategies, or backend architecture!

DEV Community: Ayan Abrar

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