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Personal AI Assistant for Raspberry Pi — autonomous planning, multi-perspective thinking, parallel agents, and self-scheduling.

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# PIweb — Personal AI Assistant for Raspberry Pi

> A smart, autonomous AI companion that lives on your device. Not just a chatbot — it plans, remembers, and acts on its own.

![Version](https://img.shields.io/badge/version-2.1.0-green)
![Node](https://img.shields.io/badge/node-%3E%3D18-green)
![License](https://img.shields.io/badge/license-Apache%202.0-blue)
![Platform](https://img.shields.io/badge/platform-Windows%20%7C%20Linux%20(RPi)-lightgrey)
<img width="360" height="202" alt="VID_20260701_233231" src="https://github.com/user-attachments/assets/44eb4f3e-279d-4456-b022-95ff0943e8cf" />
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---

## What is PIweb?

PIweb is an AI assistant platform **designed for Raspberry Pi and edge devices**. It turns a Raspberry Pi into a personal AI hub that you can access from any device on your local network — your phone, tablet, or laptop — via a clean Web UI.

Unlike cloud-only chatbots, PIweb runs **locally on your hardware**, giving you full control over your data and conversations. It supports both cloud AI providers and local models, with advanced autonomous capabilities that go far beyond simple Q&A.

### Target Hardware

- **Raspberry Pi 4 / 5** (primary target)
- **Raspberry Pi 400 / CM4**
- Any Linux ARM64/x86 device
- Windows desktops (fully tested)
- macOS / iOS — not yet tested, community feedback welcome

---

## Pre-Release Notice

> **Current release: v2.1.0**

- **Partial open source** — Core agent logic is obfuscated; skills, configs, docs, and frontend are open. Full open-source release planned for a future version.
- **No token authentication** — The web server currently has no auth layer. This is intentional for LAN-only usage on Raspberry Pi. **Do not expose to the public internet without adding your own auth.**
- **LAN access** — After starting, access from any device on your network via `http://<pi-ip>:3000` or `http://127.0.0.1:3000` on the host. Control PIweb from your phone in the same Wi-Fi.
- **Continuous updates** — Features, stability, and platform support will improve with each release.

---

## Key Features

### Multi-Model, Multi-Provider

- **Anthropic Claude** — native SDK support (Sonnet / Opus / Haiku)
- **OpenAI-compatible API** — one protocol, 15+ providers:
  - China: Alibaba Qwen (DashScope), DeepSeek, Zhipu GLM, Moonshot Kimi, Baidu ERNIE, Yi, SiliconFlow
  - International: OpenAI GPT, Google Gemini, Groq, Together AI
- **Local models** — Ollama, vLLM, SGLang, LM Studio (no API key needed)
- Auto-detect model name from server — zero config for local deployments

### Recommended Models

| Tier | Models | Why |
|------|--------|-----|
| **Best** | Claude Sonnet 4 / Opus | Best tool-use, agentic reasoning, and multimodal understanding. PIweb is optimized for Claude. |
| **Budget-friendly** | Qwen 3.5 (DashScope) | Strong multimodal + tool-use at very low cost. Best price-performance ratio. |
| **Local** | Qwen 2.5 72B, Llama 3.3 70B | Good for privacy-first setups with capable hardware. |

> **Not recommended:** Models without multimodal support or weak autonomous agent capabilities (e.g., small quantized models, text-only models). PIweb relies heavily on tool-use and multi-step reasoning — weaker models will produce poor results.

### Three Running Modes

| Mode | Command | Use Case |
|------|---------|----------|
| **Web** | `piweb --web` | Full Web UI with WebSocket streaming, multi-session management. Access from phone/tablet via LAN. |
| **CLI** | `piweb --cli` | Terminal interaction with session switching and skill loading. |
| **Daemon** | `piweb --daemon` | Background cron scheduler + Web server running together. |

### 20+ Built-in Tools

| Category | Tools | Description |
|----------|-------|-------------|
| Files | `read_file` `write_file` `list_files` | Read/write files with inline Base64 for images and documents |
| Shell | `bash` | Execute shell commands (auto UTF-8 on Windows) |
| Web | `web_fetch` | Fetch and extract web page content |
| Memory | `memory_write` `memory_read` `memory_delete` | Cross-session persistent memory |
| Screenshot | `screenshot` | Desktop capture via Python Pillow (auto-compressed) |
| Planning | `grid_run` `grid_execute` `grid_list` `grid_delete` | Multi-step autonomous task planning and execution |
| Thinking | `soul_think` `soul_list` `soul_delete` | Multi-perspective deep analysis |
| Parallel | `swarm_run` `swarm_execute` `swarm_list` `swarm_delete` | Multi-agent parallel task decomposition |
| Scheduling | `set_timer` `cancel_timer` `list_timers` | Self-scheduling, wake-up timers, cron loops |
| Skills | `skill_run` `skill_list` | Direct skill invocation |

---

## Advanced Capabilities

### Grids — Multi-Step Task Planning

Automatically breaks complex goals into step-by-step plans, each bound to required skills. Supports plan-first-then-execute workflow:

```
User: Build me a complete CUDA project workflow
PIweb: [Planning] → 4 steps: Project Setup → Kernel Implementation → Performance Tuning → Docs
       [Skills]   → cuda-expert, coding
       [Review]   → User confirms before execution begins
```

### Soul — Multi-Perspective Deep Thinking

Adaptively designs 1–6 analytical roles tailored to the question, runs them in parallel, then synthesizes a conclusion with a clear stance:

- Perspectives are **dynamically chosen** per question — not fixed templates
- Each perspective produces an independent, full analysis
- Final synthesis delivers a **decisive recommendation**, not fence-sitting

```
User: Should I pick Rust or Go for this project?
PIweb: [Designs 4 perspectives] → Performance Expert / Engineering Pragmatist / Team Lead / Ecosystem Analyst
       [Parallel analysis]      → Each argues independently
       [Synthesis]              → Clear recommendation based on your specific context
```

### Swarm — Parallel Multi-Agent Execution

Decomposes tasks into parallelizable subtasks, each handled by an independent agent:

- Automatic dependency resolution with layered parallel execution
- Each agent has full tool access (files, shell, web)
- 2–8 configurable parallel workers

### Timers — Autonomous Scheduling

The AI can set timers to wake itself up and continue working autonomously:

```
User: Remind me to drink water in 5 minutes
PIweb: ✅ Timer set (ID: abc123)
       [5 minutes later, auto-triggers]
PIweb: ⏰ Time to drink water!
```

- **One-shot timers** — fire after N seconds
- **Recurring tasks** — cron expressions (e.g., `*/30 * * * *` = every 30 min)
- **Persistent** — survives process restarts
- **Natural language** — parses "in half an hour", "tomorrow at 8am", "every 10 minutes"

### Long-Term Memory

- Persists across sessions — survives restarts
- Categorized storage: preferences, context, facts, summaries
- AI proactively remembers important information and recalls it in future conversations

### Smart Context Compression

When conversations grow very long, the system automatically compresses older messages via LLM summarization while preserving recent and key messages — enabling **unlimited conversation length** without losing context.

---

## Why PIweb Excels at Real Tasks

PIweb's frontend has been through **multiple iterations** focused on real-world usability. It delivers clear advantages in two scenarios:

- **Quick tasks** — Snappy response streaming, minimal UI friction, instant tool feedback. Ask a question, get an answer with file reads and web fetches already done.
- **Long-chain autonomous tasks** — Grids + Swarm + Timers enable multi-step workflows that run to completion without hand-holding. The AI plans, executes, checks results, and adapts — across minutes or hours if needed.

This is not a toy demo. It's built for daily use as a real productivity tool.

---

## Skill System

Skills are hot-loadable AI behavior modes defined as Markdown files:

```markdown
---
name: my-skill
description: Short description
---

# Skill Title
Detailed instructions, rules, and constraints...
```

Drop a `.md` file into the `skills/` directory and it's automatically loaded. Toggle skills via the Web UI sidebar or by typing `/skillname` in chat.

**Built-in skills**: Coding Assistant, CUDA Expert, Deep Research, Data Visualization, Web Browser, File Manager, Tarot Reading, Astrology, Bug Tracker, and more.

---

## MCP Extensions

Extend PIweb with external tool servers via [Model Context Protocol](https://modelcontextprotocol.io/). Example — Playwright browser automation:

```json
{
  "mcp": {
    "playwright": {
      "command": "npx",
      "args": ["-y", "@playwright/mcp"],
      "enabled": true
    }
  }
}
```

MCP servers are hot-reloaded — save in Web Settings and changes take effect immediately, no restart needed.

---

## Quick Start

### 1. Install

```bash
npm install
```

### 2. Configure

Copy the config template:

```bash
cp piweb.config.example.json piweb.config.json
```

Edit `piweb.config.json`:

```json
{
  "provider": "openai",
  "baseURL": "https://dashscope.aliyuncs.com/compatible-mode/v1",
  "model": "qwen3.5-plus",
  "mcp": {}
}
```

Set your API key (choose one):
- **Option A**: Edit `.env` file — `API_KEY=sk-your-key-here`
- **Option B**: Use the Web Settings panel after starting (writes to `.env` automatically)

> Local models (Ollama / vLLM / SGLang / LM Studio) do not require an API key.

### 3. Start

```bash
# Web mode (recommended)
npm start
# Open http://localhost:3000 in your browser
# Or access from phone: http://<your-ip>:3000

# CLI mode
npm run cli

# Daemon mode (background scheduler + Web)
npm run daemon
```

On Windows, you can also run `start.cmd` or `start.ps1` directly.

### Phone / Tablet Access

PIweb has **no authentication** in this pre-release. Once running, access it from any device on the same network:

```
http://192.168.x.x:3000
```

The Web UI is fully responsive and works well on mobile browsers.

---

## Project Structure

```
piweb/
├── dist/                   # Compiled runtime (obfuscated JS)
├── skills/                 # Skill modules (Markdown, user-extensible)
├── grids/                  # Grid / Soul / Swarm task storage
├── data/                   # Session data + long-term memory
│   └── memory.json         # Cross-session memory store
├── public/                 # Web UI frontend
│   └── index.html          # Single-page application
├── workplace/              # AI workspace (temp files)
├── docs/                   # Documentation
│   ├── configuration.md    # Full configuration guide
│   └── daemon-mode.md      # Daemon mode reference
├── piweb.config.json       # Runtime configuration
├── .env                    # API key (not version-controlled)
├── package.json
└── README.md
```

---

## Configuration Reference

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `provider` | `"anthropic" \| "openai"` | `"anthropic"` | All non-Anthropic providers use `"openai"` |
| `baseURL` | `string` | — | API endpoint URL (not needed for Anthropic) |
| `model` | `string` | `claude-sonnet-4-5-20250929` | Model name; leave empty for auto-detect |
| `maxTokens` | `number` | `8192` | Max output tokens per response |
| `systemPrompt` | `string` | — | Custom system prompt (overrides built-in) |
| `mcp` | `object` | `{}` | MCP server configurations |
| `compression` | `object` | `{}` | Context compression settings |
| `timers` | `object` | `{}` | Timer system settings |

Full configuration guide: [docs/configuration.md](docs/configuration.md)

---

## Tech Stack

- **Runtime**: Node.js 18+
- **Language**: TypeScript 5.7
- **AI SDK**: @anthropic-ai/sdk, OpenAI-compatible API
- **Protocol**: Model Context Protocol (MCP)
- **Browser**: Playwright MCP
- **Scheduling**: Croner (cron engine)
- **Realtime**: WebSocket (ws)

---

## Platform Support

| Platform | Status | Notes |
|----------|--------|-------|
| **Windows 10/11** | ✅ Fully tested | Primary development platform |
| **Linux x86_64** | ✅ Supported | Server / desktop deployments |
| **Linux ARM64 (Raspberry Pi)** | ✅ Target platform | Pi 4 / Pi 5 recommended |
| **macOS** | ⚠️ Untested | Should work; feedback welcome |
| **iOS (Safari)** | ⚠️ Untested | Web UI should work; native not planned |

---

## License & Open Source Status

This is a **partially open-source** project:

| Component | Status |
|-----------|--------|
| Skills (Markdown) | Open |
| Configuration & Docs | Open |
| Web UI Frontend | Open |
| MCP Integration Layer | Open |
| Core Agent Engine | Obfuscated (planned open-source) |
| Task Systems (Grid/Soul/Swarm) | Obfuscated (planned open-source) |
| Memory System | Obfuscated (planned open-source) |

Full open-source release with a proper license is planned for a future version. Contributions and feedback are welcome.

---

## Roadmap

- [ ] Authentication layer (token-based access control)
- [ ] iOS / macOS testing and optimization
- [ ] Raspberry Pi OS optimized install script
- [ ] Plugin marketplace for community skills
- [ ] Full open-source release
- [ ] Docker image for one-command deployment

---

## Changelog

### v2.0.0-pre (Current)

- Grids: multi-step autonomous task planning
- Soul: multi-perspective deep thinking engine
- Swarm: parallel multi-agent execution
- Timers: autonomous self-scheduling system
- Smart context compression (unlimited conversations)
- Multi-provider support (15+ services, local + cloud)
- Web Settings panel with hot-reload
- MCP tool extensions
- Extensible skill system
- Persistent long-term memory
- Responsive Web UI (mobile-friendly, LAN access)
- Graceful shutdown (SIGINT / SIGTERM / PM2)

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