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.
Independent Workspace
No dependency on a specific IDE or terminal.
Projects, sessions, reviews, previews, and agents all live in their own workspace.
|
Plugin-Powered
Plugins extend more than the agent.
Add panels, views, widgets, tools, MCP servers, themes, and background services.
|
Agent Orchestration
One agent is not always enough.
Delegate to Subagents or coordinate full Worker Sessions in parallel.
|
Model Freedom
Cloud models, local models, custom gateways, compatible APIs.
Switch models without rebuilding your workflow.
|
It is not a wrapper around one model. It is not another IDE extension.
Plugins are part of the workspace, not an afterthought
PI-Desktop keeps the Core focused.
Your actual workflow is assembled through extensions.
Agent
Extend what the agent can do
Agent Tools
Skills
Completion
pi Extensions
|
Workspace
Extend the desktop itself
Commands
Panels
Work Panel Views
Floating Widgets
Themes
|
Extend the runtime
MCP Servers
Resident Services
Plugin Message Bus
|
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.
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
Agent
Give it a task. Let it work.
Read code, edit files, run commands, test, and iterate.
Best for day-to-day development.
|
Plan
Review the approach before execution.
The agent studies the project first and produces an implementation plan.
Best for refactors and high-risk changes.
|
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.
|
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
Coordinate multiple Worker Sessions from one parent Session
|
Each Worker remains a full, inspectable Session
|
Move from “one agent helps me code” to “multiple agents divide and complete the work.”
Built for work that lasts
PI-Desktop is organized around:
Project → Session → Agent → Work
—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
Persistent Sessions instead of disposable chats
|
Switch models and reasoning levels inside the Session
|
A plugin marketplace that extends both the agent and the desktop
|
Connect your own provider, gateway, or local model
|
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
01
Download
Install PI-Desktop
|
02
Connect a model
Configure a Provider
|
03
Open a project
Choose a local repository
|
04
Start working
Agent / Plan / Goal
|
Packages
| Platform |
Architecture |
Package |
| macOS |
Apple Silicon |
.dmg / .zip |
| macOS |
Intel |
.dmg / .zip |
| Windows |
x64 |
Installer / .zip |
| Linux |
x64 |
.AppImage / .deb / .rpm / .asar |
macOS releases are signed with a Developer ID certificate and notarized by Apple.
Linux Compatibility
Linux x64 packages require glibc 2.35+.
Common supported distributions include:
- Ubuntu 22.04+
- Debian 12+
- Fedora 36+
Check your current version with:
ldd --version
Built on Pi
PI-Desktop is built on the pi ecosystem.
The Agent Runtime uses:
Pi provides the Agent Engine. PI-Desktop builds the persistent desktop workspace, sessions, permissions, plugins, and agent orchestration around it.
For Developers
PI-Desktop can also serve as a host platform for building agent products.
You can build:
Plugins · MCP Servers · Skills · Agent Tools · pi Extensions · Themes · Panels · Floating Widgets · Background Services
Plugin quick start
Built-in templates include:
panel-basicagent-tool-basicskill-packfull-demo
Plugins can be created and loaded directly as Development Plugins.
Plugin Development Guide →
Run from source
Development Setup
Requirements
- Node.js
>=22.19
- pnpm
>=10
- Stable Rust Toolchain
Start
git clone https://github.com/vastsa/PI-Desktop.git
cd PI-Desktop
pnpm install
cargo build -p host-core
pnpm build:js
pnpm dev
Validate
pnpm typecheck
pnpm lint
pnpm test
Documentation
Documentation ·
Architecture ·
Specification ·
Plugin Development ·
E2E Test Plan ·
Release Runbook ·
AGENTS.md
Contributing
Contributions are welcome:
Issues · Pull Requests · Plugins · Skills · MCP Integrations · Documentation · Translations
For standalone capabilities, consider one question first:
Would this be better as a Plugin?
Keep the Core focused. Let the ecosystem grow.
Report an Issue ·
Open Issues ·
Build a Plugin
Project Trend
Friends
Linux.Do — A new ideal community
Model Acknowledgements
Not by a lone genius, but by a token-powered construction crew.
PI-Desktop has been built with the help of models from multiple providers.
More than 27 billion tokens have been used across development, refactoring, review, design, and debugging.
Thanks to every human contributor — and every model that helped us build it.
License
PI-Desktop is licensed under the GNU Lesser General Public License v3.0.
See LICENSE for details.
PI-Desktop
Build your own Agent workspace.
Your models · Your agents · Your plugins · Your workspace
Download ·
Documentation ·
Build a Plugin
Local-first · Model-agnostic · Plugin-powered
PI-Desktop 是一个面向 AI 编码代理的本地优先桌面工作区，基于 pi Agent Harness，用 Electron 和 Rust 宿主核心构建，项目、模型、会话和插件都集中在一起，而不是散落在一次性的聊天窗口中。