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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, persona organization, 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 personas can be independently configured, each with its own avatar and private memory, and they form an organization through parent-child relationships. Tasks and sessions are separated by persona, 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 the organization. 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
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