Hi everyone!

I’ve been working on a project called Neomage, and I wanted to share it with the community. It’s an "Agentic" AI engine built entirely in Dart/Flutter that goes beyond simple chat interfaces.

The goal is to enable Sovereign AI Agents that can actually do things on your machine—not just talk about them.

What makes it different? It's "Clawless".

A lot of existing AI integration in mobile/desktop feels "clawed": it's a web-based chat-bot reaching down into the system from the browser or a remote API.

Neomage is different. It's Native and Clawless. The agent exists as an agent in your Flutter app, operating directly on the system.

Key Features:

• Native, Clawless Tool Execution: Seamlessly run Bash commands, manage file systems, and interact with hardware without intermediaries.
• Multi-Provider Support: Plug and play with Gemini, OpenAI, Anthropic, or local LLMs via Ollama.
• MCP Integration: Supports the Model Context Protocol for extended toolsets.
• Reactive State: Built on top of Sint & Daemon Bridge for fluid, real-time agent responses.
• True Multi-platform: One codebase for macOS, Windows, Linux, Android, and iOS.

Why "Agentic"?

Because it treats the LLM as a controller. It can reason through a task, call the necessary native tools, and update the UI reactively as it executes.

I’d love to get some feedback from the community on this direct, Clawless approach. Are you guys exploring Agentic workflows in your Flutter apps?

Check it out on

pub.dev: https://pub.dev/packages/neomage

Looking forward to hearing your thoughts!