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PI-Desktop

Local-first AI coding agent desktop: Electron + Rust host core + pi Agent Harness + user-installable plugins

Install / Use

claude mcp add vastsa -- npx -y github:vastsa/PI-Desktop

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

93/100

Supported Platforms

Claude Code
Claude Desktop

Our assessment of PI-Desktop

PI-Desktop scores 93/100 on our quality scale, 75th of 1,453 Development & Engineering skills we index (top 6%).

Its MCP Server is 16 KB long, well organised into 51 sections with 8 code examples: a thorough specification that gives an agent plenty to work with.

With 5,580 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
20/20
Description
12/15
Adoption
16/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so PI-Desktop is actively maintained.
  • It is released under LGPL-3.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

PI-Desktop compared with similar skills

All 4 of these similar skills score higher than PI-Desktop; compare them before choosing.

SkillScoreStarsUpdatedFormat
PI-Desktop (this skill)by vastsa935.6ktodayMCP Server
Agent-Reachby Panniantong10085.3k9d agoCLAUDE.md
headroomby headroomlabs-ai10073.7ktodayCLAUDE.md
rufloby ruvnet10073.2ktodayCLAUDE.md
CowAgentby zhayujie10047.1ktodayCLAUDE.md

Frequently asked questions

How do I install PI-Desktop?
Run claude mcp add vastsa -- npx -y github:vastsa/PI-Desktop. The install tabs above show the steps for each supported agent.
Which AI agents does PI-Desktop work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is PI-Desktop safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is LGPL-3.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is PI-Desktop still maintained?
The repository was last updated today, so PI-Desktop is actively maintained.
<div align="center"> <img src="docs/image/readme/logo.png" alt="PI-Desktop" width="108" />

PI-Desktop

A modular desktop workspace for AI agents

Bring projects, agents, models, plugins, and workflows into one persistent desktop environment.

Local-first · Model-agnostic · Plugin-powered · macOS / Windows / Linux

<br />

Release Downloads Stars CI License Reddit

<br />

Download · Documentation · Build a Plugin · Screenshots · 简体中文

<br /> <img src="docs/image/readme/home.webp" alt="PI-Desktop" width="94%" /> <br />

Your projects stay local · Your models stay replaceable · Your workspace stays yours

</div>

Current release line: 0.15.x (Early Preview).


Why PI-Desktop?

Terminal agents are great at execution. IDE agents are great at living inside an editor.

PI-Desktop goes one step further:

Give AI agents a persistent, independent, and extensible desktop workspace of their own.

<table> <tr> <td width="25%" valign="top">

Independent Workspace

No dependency on a specific IDE or terminal.

Projects, sessions, reviews, previews, and agents all live in their own workspace.

</td> <td width="25%" valign="top">

Plugin-Powered

Plugins extend more than the agent.

Add panels, views, widgets, tools, MCP servers, themes, and background services.

</td> <td width="25%" valign="top">

Agent Orchestration

One agent is not always enough.

Delegate to Subagents or coordinate full Worker Sessions in parallel.

</td> <td width="25%" valign="top">

Model Freedom

Cloud models, local models, custom gateways, compatible APIs.

Switch models without rebuilding your workflow.

</td> </tr> </table> <div align="center">

It is not a wrapper around one model. It is not another IDE extension.

It is a desktop platform for agent workflows.

</div>

Plugins are part of the workspace, not an afterthought

PI-Desktop keeps the Core focused.

Your actual workflow is assembled through extensions.

<table> <tr> <td width="33%" valign="top">

Agent

Extend what the agent can do

Agent Tools Skills Completion pi Extensions

</td> <td width="33%" valign="top">

Workspace

Extend the desktop itself

Commands Panels Work Panel Views Floating Widgets Themes

</td> <td width="33%" valign="top">

Platform

Extend the runtime

MCP Servers Resident Services Plugin Message Bus

</td> </tr> </table>

A plugin does not have to be “just another tool.”

It can be an entire product:

Voice Agent
├── Floating Widget
├── Speech Service
├── Agent Tool
└── Commands

GitHub Workspace
├── Work Panel
├── MCP Server
├── Agent Tools
└── Background Service

Session Analytics
├── Dashboard
├── Commands
└── Workspace View

What can a plugin add?

| Capability | What it enables | | ------------------- | -------------------------------------------------------------- | | Command | Add actions to the global command system | | Panel | Open a standalone plugin interface | | Floating Widget | Build voice orbs, status lights, timers, and other floating UI | | Work Panel View | Add new views to the right-side workspace | | Agent Tool | Register tools callable by the agent | | Completion | Use the models already configured by the user | | Skill | Add reusable agent capabilities and workflows | | Theme | Customize workspace appearance | | MCP Server | Connect local or remote MCP servers | | Service | Run persistent background work | | Message Bus | Let plugins communicate with each other |

Plugins can be distributed as .piplug packages or installed through the marketplace.

<div align="center">

Build your first plugin →

</div>

One foundation, many workflows

                         PI-Desktop
                             │
          ┌──────────────────┼──────────────────┐
          │                  │                  │
        Agent            Workspace           Platform
          │                  │                  │
     Agent Tools           Panels              MCP
       Skills             Widgets            Services
     Subagents             Views            Message Bus
   pi Extensions          Themes
          │                  │                  │
          └──────────────────┼──────────────────┘
                             │
                       Your Workflow

PI-Desktop can simply be your coding agent.

Or you can turn it into:

AI Development Workspace · Voice Agent · DevOps Console · GitHub Workspace · Data Assistant · Multi-Agent Control Center · Automation Platform

The Core provides the foundation. Plugins decide what your workspace becomes.


Three ways to work

<table> <tr> <td width="33%" valign="top">

Agent

Give it a task. Let it work.

Read code, edit files, run commands, test, and iterate.

Best for day-to-day development.

</td> <td width="33%" valign="top">

Plan

Review the approach before execution.

The agent studies the project first and produces an implementation plan.

Best for refactors and high-risk changes.

</td> <td width="33%" valign="top">

Goal

Define the outcome. Let the agent choose the path.

Lock the objective and acceptance criteria, then let the agent drive execution.

Best for complex and long-running tasks.

</td> </tr> </table>

Privileged operations still pass through PI-Desktop's permission layer.


When one agent is not enough

Complex work should not be forced into one context window.

PI-Desktop provides two levels of delegation.

Subagents

Delegate independent work to background agents:

Code exploration · Implementation · Test analysis · Research · Review

Each Subagent gets its own context and reports the result back to the parent agent.

Session Orchestrator

For longer-lived work, delegate to full Worker Sessions.

Main Session
│
├── Worker A
│   └── Frontend
│
├── Worker B
│   └── Backend
│
├── Worker C
│   └── Tests
│
└── Worker D
    └── Review

Workers are full PI-Desktop sessions:

Independent context · Independent execution · Directly inspectable · Reusable · Full transcript

<table> <tr> <td width="50%"> <img src="docs/image/readme/session-orchestrator-overview.png" alt="Session Orchestrator" /> <p align="center"><sub>Coordinate multiple Worker Sessions from one parent Session</sub></p> </td> <td width="50%"> <img src="docs/image/readme/session-orchestrator-worker.png" alt="Worker Session" /> <p align="center"><sub>Each Worker remains a full, inspectable Session</sub></p> </td> </tr> </table> <div align="center">

Move from “one agent helps me code” to “multiple agents divide and complete the work.”

</div>

Built for work that lasts

PI-Desktop is organized around:

<div align="center">

Project → Session → Agent → Work

</div>

—not around disposable chat threads.

You can:

  • Manage multiple projects and sessions
  • Pin, archive, branch, and search sessions
  • Queue prompts while an agent is already running
  • Reference project files with @
  • Use slash commands
  • Review diffs
  • Inspect command output
  • Work with the right-side Work Panel
  • Keep streaming checkpoints
  • Recover interrupted work whenever possible

A Session can continue across multiple app launches.


See what the agent is doing

<table> <tr> <td width="50%"> <img src="docs/image/readme/chat_en.png" alt="PI-Desktop Session" /> <p align="center"><sub>Persistent Sessions instead of disposable chats</sub></p> </td> <td width="50%"> <img src="docs/image/readme/model_en.png" alt="PI-Desktop Model" /> <p align="center"><sub>Switch models and reasoning levels inside the Session</sub></p> </td> </tr> <tr> <td width="50%"> <img src="docs/image/readme/plugins_en.png" alt="PI-Desktop Plugins" /> <p align="center"><sub>A plugin marketplace that extends both the agent and the desktop</sub></p> </td> <td width="50%"> <img src="docs/image/readme/addmodel_en.png" alt="PI-Desktop Providers" /> <p align="center"><sub>Connect your own provider, gateway, or local model</sub></p> </td> </tr> </table> <div align="center">

Explore more screenshots →

</div>

Swap the model, keep the workflow

PI-Desktop does not tie your workflow to a single model vendor.

Use:

OpenAI · Anthropic · OpenAI-Compatible APIs · Custom Gateways · Ollama · LM Studio · Local Models

Configure each model independently:

Provider · Model ID · Context Window · Output Limit · Reasoning / Thinking · Temperature · OAuth · API Key · Endpoint

Different Sessions can use different models.

The same Session can switch models at any time.

Planning     → Model A
Coding       → Model B
Review       → Model C
Private Task → Local Model

The model is a replaceable component of the workflow — not the workflow itself.


Already using another coding agent?

Keep your existing work.

PI-Desktop can import local sessions from:

Claude Code · Codex · OpenCode · Pi


Local-first

PI-Desktop does not require you to move your development environment into our cloud.

| Data | Default behavior | | -------------------- | ----------------------------------------- | | Projects | Local | | Sessions | Local | | Settings | Local | | Logs | Local | | API credentials | OS Keychain | | PI-Desktop telemetry | None | | Model requests | Sent directly to your configured provider |

No mandatory PI-Desktop account.

No mandatory PI-Desktop relay.

When using a remote model, the context required for the request is sent directly to that provider.


You control the permissions

Agents can read files, edit code, run commands, call tools, use extensions, and delegate work.

Privileged operations still pass through the permission layer:

Agent
  ↓
Tool Request
  ↓
Permission Layer
  ↓
Allow / Ask / Deny
  ↓
Execution

You decide how much autonomy each Session gets.


Get started

<table> <tr> <td width="25%" valign="top">

01

Download

Install PI-Desktop

</td> <td width="25%" valign="top">

02

Connect a model

Configure a Provider

</td> <td width="25%" valign="top">

03

Open a project

Choose a local repository

</td> <td width="25%" valign="top">

04

Start working

Agent / P

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars5.6k
CategoryDevelopment
Updated3h ago
Forks483

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions