📖 Introduction

IllusionAgent is an open-source AI agent platform. It unifies a multi-provider LLM gateway, a bilingual (Chinese/English) CLI, a browser-based Web UI, and a flexible extension ecosystem into a single intelligent agent — at home on Windows, macOS, and Linux.

Whether you prefer the discipline of the terminal or the ease of the browser, IllusionAgent resonates with your workflow: a rich built-in toolset, specialized sub-agents, two compaction methods, MCP server support, hooks, plugins, and a cron scheduler for unattended automation — spanning Feishu, WeChat, and QQ.

Standing on the shoulders of giants — Claude Code prompts, OpenHarness architecture, OpenClaw scheduling, kimi-cli infrastructure, hermes-agent channels, cc-switch routing.

Core Features

• 🤖 Multi AI Provider Support - Anthropic, OpenAI, Copilot, Codex, and any compatible endpoint
• 🧠 Multi-Agent Collaboration - Built-in specialized agents (general-purpose, explore, verification)
• 🛠️ Rich Toolset - Full base + channel toolset + MCP dynamic tool extension
• 📦 Context Compaction - Microcompact (clear old tool results) + full compaction (LLM summary), auto-triggered as context fills
• 🌐 Web UI Interface - Browser-based chat interface with illusion web, independently usable alongside the terminal
• 🌍 Bilingual Interface - Chinese/English auto-switch via ui_language setting
• 📝 Comprehensive Markdown Rendering - Tables, code blocks, rich text
• 🔌 Flexible Extension System - Plugins, hooks, skills, MCP servers
• 🔐 Comprehensive Permission Control - Three modes + fine-grained rules
• 🎯 Reasoning Effort Control - low/medium/high/xhigh/max levels
• 🪟 Deep Windows Optimization - Auto-detect Git, PowerShell support
• 🖥️ Zero Terminal Flicker - Stable rendering based on Ink Static component
• 📦 Desktop Edition - Electron shell with bundled Python/Node.js, portable builds for Windows/macOS/Linux, zero environment setup

Interface Preview

Welcome screen & rich text rendering

Demo video

📺 Watch demo on YouTube

🚀 Quick Start

Requirements

• Python >= 3.10
• Supports Windows, macOS, Linux
• Node.js 18+ (only for source install; pip install illusion-agent does not require Node.js)

Installation

# Recommended: pip install from PyPI (no Node.js required)
pip install illusion-agent

# Alternative: from source (requires Node.js 18+)
git clone https://github.com/YunTaiHua/illusion-agent.git
cd illusion-agent
pip install .

Desktop Edition

Prefer a desktop app without installing Python or Node.js? Download the portable build for your platform — extract and run, zero environment setup:

👉 Download from GitHub Release

The desktop edition bundles Python 3.12 and Node.js 20 runtimes internally. See Desktop Edition docs for details.

Basic Usage

# First-time: configure authentication and working directory
illusion auth login

# Start interactive session (recommended)
illusion

# Launch Web UI in browser
illusion web

# Non-interactive print mode
illusion -p "Analyze the structure of this project"

# Set or update working directory
illusion set "E:\Projects\my-project"

Print Mode Notes

-p / --print runs a single non-interactive request and exits:

# Read-only analysis (safe, default permission mode)
illusion -p "Analyze the structure of this project"

# Allow file writes / command execution without interactive approval
illusion --permission-mode full_auto -p "Fix the failing tests"

# Resume after the process exits with code 2 (pending question/permission/plan)
illusion -c -p "Y"

# Specify model and effort for print mode
illusion -m env_1.model_2 -e high -p "Refactor this module"

Important details:

• The prompt value must be the last argument because typer parses -p greedily.
• In default permission mode, mutating tools exit with code 2 and persist a pending approval; answer it with illusion -c -p "Y", "F", or "N".
• Exit codes: 0 success, 1 error, 2 waiting for cross-turn input.

Interface Notes

The terminal (illusion) and Web UI (illusion web) are two independent, first-class interfaces. They share the same backend runtime, settings, and session storage — use whichever fits your workflow.

📚 Detailed Documentation

📄 License

This project is open-sourced under the MIT license.

🤝 Contributing

Welcome to submit Issues and Pull Requests!