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PI-Desktop

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7.2k stars·AI Productivity·SHA-256 checksum verified

Local-first, open-source AI coding agent desktop with deep plugin extensibility, multi-agent orchestration, and full model freedom—more independent than IDE extensions, more visual than terminal agents.

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Download Download Version

v0.20.1 · 157.4 MB

A standalone, plugin-powered desktop workspace where AI coding agents actually live and work.

Core Features

  • Standalone desktop workspace independent of any IDE or terminal
  • Plugins can add UI panels, floating widgets, agent tools, themes, MCP servers, and background services
  • Multi-agent orchestration via subagents and parallel worker sessions
  • Model-agnostic: OpenAI, Anthropic, Ollama, LM Studio, and custom gateways
  • Persistent sessions that survive app restarts, with branching and archiving

What It Can't Do

  • •This is an early preview release (0.21.x), so expect rough edges and breaking changes. The app does not include model access—you must bring your own API key or local model, and cloud usage incurs API costs. Running multiple agents in parallel multiplies token consumption. It cannot replace human code review; always verify agent changes. Check LGPL-3.0 compliance before derivative or commercial distribution.

Use Cases

  • Everyday coding: let the agent read, edit, run, and test code iteratively
  • Risky refactors: review the implementation plan before any execution
  • Long-running tasks: split frontend, backend, and tests across parallel worker agents
  • Custom workflows: install or build plugins like voice agents or DevOps consoles

PI-Desktop is an open-source (LGPL-3.0), local-first desktop workspace built for AI coding agents, combining an Electron shell, a Rust host core, and a user-installable plugin system. Compared with terminal-centric tools like Claude Code or IDE extensions such as GitHub Copilot and Cline, its key advantage is independence: projects, sessions, reviews, and previews live in a dedicated desktop environment rather than being chained to one editor or terminal. Its second differentiator is depth of extensibility—plugins can add not just agent tools but also UI panels, floating widgets, themes, MCP servers, and background services, distributed via a marketplace or .piplug packages. It supports three work modes (Agent, Plan, Goal), multi-agent orchestration with parallel worker sessions, and persistent sessions that survive restarts. Model-agnostic by design, it works with OpenAI, Anthropic, OpenAI-compatible APIs, custom gateways, Ollama, and LM Studio. Currently in early preview (0.21.x) and cross-platform on macOS, Windows, and Linux.

Tags

AI 编程AI Agent多智能体代码助手MCP插件系统本地优先LLM

Getting Started

1

Download installer

Click the button above to download the installer for your system

2

Install the software

Install the appropriate package for your distro (dpkg / rpm / AppImage)

3

Download the installer for your OS from the GitHub Releases page

4

Run the installer and follow the setup prompts

5

Add a model provider with your API key, or connect a local model

Install Guide
  1. Download the installer for your OS from the GitHub Releases page
  2. Run the installer and follow the setup prompts
  3. Add a model provider with your API key, or connect a local model
File Integrity

SHA-256 checksum verified

Checksum extracted from GitHub official Release page

SHA256 Checksum

4b1b23b86c903841e23721d01bb58f08a9da1c867a66aaf5686abc03ec139df8

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Open Source Transparency

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Environment Guide

Uninstall Info

On macOS drag the app to Trash, on Windows uninstall via Settings, on Linux remove the AppImage or uninstall the package. Project files are untouched; session and configuration data remain in your user directory and can be deleted manually for a full cleanup.

No Extra Dependencies

Ready to use after download. No additional runtime required.

Project Info
LicenseLGPL-3.0
Last Updated2026-10-27 09:27:49
GitHub RepositoryOfficial Website

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