P-ai

Name: P-ai
Author: kawayiYokami

Warning

A ready-to-use self-growing desktop AI assistant for long-running tasks, memory, agents, tool reviews, MCP, and high-concurrency workspace automation. / 开箱即用的自我成长型桌面 AI 助理，面向长期任务、记忆、部门协作、工具审查、MCP 与高并发工作区自动化。

100stars

17forks

Rust

Installation

# Add to your Claude Code skills
git clone https://github.com/kawayiYokami/P-ai

Getting Started

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Security ReportWarning

Last scanned: 9/16/2026

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  "issues": [
    {
      "type": "npm-audit",
      "message": "postcss: PostCSS: incomplete fix of GHSA-6g55-p6wh-862q — attacker-controlled sourceMappingURL reads arbitrary .map files when `from` is unset",
      "severity": "high"
    }
  ],
  "status": "WARNING",
  "scannedAt": "2026-09-16T09:08:56.563Z",
  "npmAuditRan": true,
  "pipAuditRan": true,
  "promptInjectionRan": true
}

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README.md

Frequently Asked Questions

What is P-ai?

P-ai is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by kawayiYokami. A ready-to-use self-growing desktop AI assistant for long-running tasks, memory, agents, tool reviews, MCP, and high-concurrency workspace automation. / 开箱即用的自我成长型桌面 AI 助理，面向长期任务、记忆、部门协作、工具审查、MCP 与高并发工作区自动化。. It has 100 GitHub stars.

Is P-ai safe to use?

P-ai returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.

How do I install P-ai?

Clone the repository with "git clone https://github.com/kawayiYokami/P-ai" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is P-ai written in?

P-ai is primarily written in Rust. It is open-source under kawayiYokami on GitHub, so you can review or fork the full source.

Are there alternatives to P-ai?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh P-ai against similar tools.

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P-ai (PAI)

Languages / 语言
简体中文 | 繁體中文 | English | 日本語

A self-growing desktop AI work system — ready-to-use, with agent delegation, long-term memory, tool review, MCP, and high-concurrency workspace automation.

PAI is an actively evolving desktop AI work system. It is not a chat client — it is a complete desktop system organized around conversations, tasks, memory, departments, tools, review, and remote messaging. The backend uses Rust async concurrency and streaming architecture to guarantee response speed; the frontend uses Vue 3 + DaisyUI for a clean interface. All data is stored locally, with no intermediate servers.

Entry & Efficiency

Global hotkey summon, voice wakeup, background voice input, quick screenshot — PAI brings desktop AI access to "summon anytime, handle anything, continue anywhere." Supports local sessions, remote sessions, and multiple parallel sessions; quick commands can trigger common operations in one keystroke.

Organization & Personas

Multiple departments and personas can be independently configured, each with its own avatar and private memory. Tasks and sessions are separated by department, identity, and responsibility. Local sessions support multi-agent group chat; remote sessions support WeChat, Feishu, DingTalk, OneBot, and other protocols.

Interface & Interaction

UI, chat style, colors, and fonts are all customizable, with multiple windows running in parallel. Fast response, clean but not bare-bones.

Capabilities & Tools

A complete capability set is pre-built: LLM can execute operation scripts to control the computer and send reactions proactively; common Skills are built-in; full image-to-text, native PDF and Office reading are supported; tool modifications are reversible; tool execution and code changes can undergo multi-angle AI review. API provider onboarding is streamlined and ready to use.

Memory & Context

Long conversations are dynamically compressed and archived; a single session can persist indefinitely, with context staying effective through continuous compression and organization. The memory system is low-cost and comprehensive — the more you use it, the better the AI understands you.

Engineering & Reliability

High performance, concurrent, fast to respond. Local sessions support message delivery, session branching, and manual delegation; remote sessions support sending and receiving files and images. Built-in proactive planning mode, delegation system, and persona system; LLM can autonomously manage MCP, skills, personas, and departments. Tool execution has a review chain; code changes can be validated from multiple angles.

Real Usage Scenarios

The following are not hypotheticals — they actually happened:

Starting from v0.8, PAI has been used to develop PAI itself for over 1 month, producing 407 commits and 496 file changes
Users have been using PAI continuously for financial analysis and news monitoring for over 3 months
Users have been using PAI via WeChat remote contacts to produce Xiaohongshu content for over 3 months, with over a thousand published posts
Users have been using PAI to analyze research papers for over 2 months and published multiple papers based on it
Users have been using PAI for scheduled web scraping, accumulating over 500M of data
A user ran PAI continuously for 20 hours on a programming task — it reviewed, resolved, researched online, and passed on its own
Users have been using PAI long-term to create game guides
Users have been using PAI long-term to operate games and complete daily tasks
Users run dozens of sessions simultaneously, using PAI to monitor multiple online channels at once
After extended use, users consistently report it gets smoother over time — the AI understands them better

Project Stats

872 commits, 116 releases
79 plan documents
Full-stack evolution across Vue, Rust, and Tauri 2
Local sessions, remote sessions, memory, review, delegation, multi-window, and workspace capabilities all shipped

Tech Stack

Desktop shell: Tauri 2
Backend: Rust (async, tokio)
Frontend: Vue 3 + TypeScript + Vite
UI: DaisyUI + Tailwind CSS
Package manager: pnpm

Platform & Updates

Current release strategy:

Windows: NSIS installer + zip portable (PORTABLE marker), in-app auto-update
Linux: .deb / AppImage, release pipeline maintained
macOS: universal DMG for Intel and Apple Silicon, release pipeline maintained

Data & Privacy

API keys are stored locally, never passing through any intermediate server
Conversations, tasks, archives, memory, and media are all stored locally
Portable version data lives in data/ next to the executable — plug-and-play from a USB drive
You can manage, export, and clean up all your data yourself

Who It Is For

Developers who want AI truly embedded in their desktop workflow
People not satisfied with AI tools that "can only chat"
People who need long-running task execution, not one-shot Q&A
People who want AI with review capability, not blind delegation
People with imagination for AI organizational collaboration

Quick Start

Download the installer or portable version from Releases.

Main file locations after installation:

Executable: /usr/bin/p-ai
Desktop entry: /usr/share/applications/p-ai.desktop
Icon: /usr/share/pixmaps/p-ai.png
Default data directory: ~/.config/p-ai/

Acknowledgments

This project relies on these excellent upstream projects and communities: Tauri · Vue 3 · DaisyUI · Tailwind CSS · rust-genai · rmcp · Shiki · Mermaid · KaTeX · markstream-vue · tokio · reqwest · rusqlite · tantivy · AstrBot

The project author has also developed three plugins for the AstrBot ecosystem: AngelHeart (intelligent group chat) · AngelMemory (hierarchical memory retrieval) · AngelSmile (sticker management)

Thanks to everyone who has contributed ideas, testing, feedback, and code to this project.

License

This project is licensed under GNU General Public License v3.0.