Workspace for AI coding agents
PI-Desktop is an AI coding agent developed with a local-first working principle. With its architecture based on Electron (desktop application development framework) and Rust (systems programming language), it offers a customizable software development environment where users can install their own plugins.
Updates
- October 25, 2026: Stars 6,772 → 7,230, latest release v0.21.0 (October 24, 2026).
- October 13, 2026: Stars 6,617 → 6,772, latest release v0.20.1 (October 13, 2026).
- October 10, 2026: Stars 6,458 → 6,617, latest release v0.18.0 (October 10, 2026).
- October 7, 2026: Stars 6,331 → 6,458, latest release v0.17.0 (October 7, 2026).
What you get
- Manage different AI models from a single interface.
- Control the agent's file editing and command execution permissions.
- Customize the development environment with plugins and capabilities.
Installation
git clone https://github.com/vastsa/PI-Desktop.git
cd PI-Desktop
pnpm install
cargo build -p host-core
pnpm build:js
pnpm devRunning it
pnpm devIf you don't write code
I am working on PI-Desktop. I authorize you to analyze the code in my local projects, edit files, and execute terminal commands. When performing tasks, I want you to first create an implementation plan, get my approval for critical changes, and report the entire process transparently. While writing code, stick to the existing project structure and proceed by performing the necessary tests in case of errors.
Repository: https://github.com/vastsa/PI-Desktop. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-09-10: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.