233i

233i / ore-code

Public

DeepSeek-first desktop coding agent workbench

48
1
89% credibility
Found Jun 02, 2026 at 48 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
TypeScript
AI Summary

Ore Code is a desktop application that acts as an AI coding assistant. You open a folder on your computer, describe what you want to build or fix in plain language, and the assistant reads your existing code to understand your project. It then makes file changes, runs tests, and shows you exactly what it's doing. You review and approve each change before anything is saved to your project. The app supports multiple programming languages, can run background tasks, and integrates with external tools. Everything stays local on your computer and works offline once set up.

How It Works

1
💻 Download and install the app

You download the Ore Code app for your computer and install it like any other program.

2
📁 Open your project folder

You tell the app which folder on your computer contains the code you want to work on.

3
💬 Describe what you want to build

You type a message in plain English explaining the feature or fix you need, like asking a helpful colleague.

4
🤖 The AI reads your code and gets to work

The assistant understands your project, reads existing files, and starts making changes while showing you exactly what it's doing.

5
You review and approve changes
✅
Quick approval for small changes

For routine edits, you can approve with one click and move on.

📝
Careful review for bigger changes

For significant changes, you take time to review the full diff and make sure everything looks right.

6
💾 Changes are saved to your project

Once you approve, the files are written to your project exactly where they should go.

🎉 Your feature is ready

The work is done. Your code has been updated, tests have run, and your project is ready to use.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 48 to 48 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is ore-code?

Ore Code is a desktop coding workbench that puts a DeepSeek-powered AI agent directly into a native app on your machine. Instead of a web-based chat interface, you get a full desktop experience with a resizable sidebar, transcript view, and an inspector panel. The agent can read and write files, run shell commands, execute tests, and integrate with MCP servers. It runs entirely locally with your own DeepSeek API key, meaning your code and conversations stay on your machine.

Why is it gaining traction?

The big differentiator is the permission system. Before the agent touches your filesystem or runs a shell command, you see exactly what it wants to do and can approve or deny it. This gives you the productivity boost of an AI coding agent without surrendering complete control. The skills system lets you add custom prompts and workflows, and the automation feature can run scheduled or triggered tasks. The change review panel shows diffs after each turn, lets you undo specific file changes, and even generates lightweight commit messages.

Who should use this?

Backend and fullstack developers who want an AI coding assistant that operates on their local codebase rather than uploading everything to a third-party service. It is particularly useful for people working with DeepSeek models who prefer a native desktop experience over browser-based alternatives. Researchers exploring agent-based coding workflows would also find the structured event system and session replay capabilities valuable for understanding agent behavior.

Verdict

Ore Code shows solid engineering with TypeScript, Rust, and Tauri backing a well-structured agent runtime. The feature set is impressive for a pre-release, but the 48-star count and early status mean you should expect rough edges. The credibility score of 0.9% reflects limited community validation, so production use warrants caution. Worth watching and experimenting with, especially if you are already invested in the DeepSeek ecosystem.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.