Zileo Chat

Application desktop multi-agent avec interface conversationnelle intelligente.

Developed by Assistance Micro Design

Built with Claude Code by Anthropic

Beta Warning

This software is currently in beta (v0.14.0).

Before using Zileo Chat, please be aware of the following risks:

Recommendation: Back up your data regularly and avoid using for critical production tasks until v1.0 release.

Description

Zileo Chat is a desktop application for orchestrating AI agents through a conversational interface. It supports multi-agent workflows with tool execution, memory persistence, and human-in-the-loop validation.

Key Features

• Multi-Agent System - Create and orchestrate multiple AI agents with specialized tools
• Real-time Streaming - Token-by-token response display with usage metrics
• Tool Execution - Memory, Todo, Calculator, and sub-agent delegation tools
• Human-in-the-Loop - Approve critical operations before execution
• MCP Protocol - Extend agents with Model Context Protocol servers
• Bilingual UI - English and French interface

Supported LLM Providers

Zileo Chat currently supports two LLM providers:

Mistral AI (Cloud)

• Requires API key from console.mistral.ai
• Supports all Mistral models (Mistral Large, Codestral, etc.)
• Pay-per-use pricing based on token consumption

Ollama (Local)

• Free and runs locally on your machine or cloud locally
• Requires Ollama installed and running
• Supports open-source models (Llama, Mistral, CodeLlama, etc.)

Prerequisites

Required for First Launch

Mistral API vs Le Chat Pro: The Le Chat subscription ($14.99/month) is for the web chat interface only. Zileo Chat requires a separate API key from La Plateforme with pay-per-token billing.

MCP Servers Configuration

Use Docker MCP Toolkit for MCP server management:

1. Enable MCP Toolkit: Docker Desktop > Settings > Beta features > Enable Docker MCP Toolkit
2. Open MCP Toolkit tab in Docker Desktop
3. Browse the MCP Catalog (200+ servers available)
4. Select and install desired MCP servers
5. In server Overview > "Use this MCP Server" > copy the Docker configuration

Recommended: Always prefer Docker configurations over NPX/UVX for better isolation and zero dependency management.

Optional: Ollama (Local + Cloud Models)

Ollama Cloud: For large models like Kimi K2 (1T params), use ollama run <model>:cloud. No local GPU required.

Build Requirements

• Node.js 20.19+ or 22.12+
• Rust 1.80.1+

node --version    # >= 20.19
rustc --version   # >= 1.80.1

Installation

# Clone repository
git clone https://github.com/assistance-micro-design/zileo-chat.git
cd zileo-chat

# Install dependencies
npm install

# Development
npm run tauri:dev

# Production build
npm run tauri:build

Tech Stack

Documentation

Full documentation is available in the docs/ directory:

• Getting Started
• Architecture Decisions
• Database Schema
• MCP Configuration
• Tools Reference

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/your-feature)
3. Commit changes (git commit -m 'Add feature')
4. Push to branch (git push origin feature/your-feature)
5. Open a Pull Request

Security

To report a vulnerability, please open a private issue on GitHub Security.

License

This project is licensed under the Apache License 2.0. See LICENSE for details.

Third-party licenses are documented in THIRD_PARTY_LICENSES.md.

Copyright 2025 Assistance Micro Design
Licensed under the Apache License, Version 2.0

Acknowledgments

• Built with Claude Code by Anthropic
• Powered by Tauri, SvelteKit, SurrealDB
• LLM integration via Rig.rs

Assistance Micro Design | GitHub