OpenMono: AI Coding Agent
OpenMono: AI Coding Agent has 2 ratings, averaging 3.0 stars, #980 of 1,743 in Developer Tools.
Description
Take the power of your local AI dev stack everywhere. OpenMono is the official mobile companion for OpenMonoAgent.ai—the open-source, terminal-native coding agent that you own, not rent.
Why OpenMono?
OpenMono is built on the belief that AI should be infrastructure sitting on your desk, serving your code, and answering only to you. This app enables "Dual-Box" mode: run heavy inference on your home GPU rig (RTX 3090/4090/5090) and control the agentic workflow securely from your iPhone.
Key Features:
• Dual-Box Connectivity: Seamlessly bridge the gap between your mobile device and your local GPU infrastructure. Works behind any NAT/CGNAT via our secure outbound-only relay.
• Unlimited Tokens, Zero Cost: Stop watching the meter. Since the model runs on your hardware, your prompts are free, unlimited, and private forever.
• Agentic Code Execution: OpenMono doesn’t just suggest code; it reasons. Perform multi-file refactors, architectural analysis, and automated testing from a mobile-optimized terminal.
• Built for .NET Developers: Deep integration with Roslyn allows the agent to understand type hierarchies, call graphs, and cross-assembly references with compiler-level accuracy.
• Docker-Native Sandboxing: Every destructive operation is gated. Your code is bind-mounted into a container, ensuring the agent remains isolated and secure.
• MCP & Tooling Support: Access 20+ built-in tools and extend your agent’s capabilities via the Model Context Protocol (MCP).
Infrastructure Highlights:
• Local-first, always. No one else sees your code.
• Powered by C#/.NET.
• Supports high-performance LLMs (Qwen, Llama, etc.) optimized for your specific hardware.
Connect with Us:
Website: https://www.openmonoagent.ai
Twitter/X: @StartupHakk
Growth change in ratings
| Per | Growth | Growth % | Actual change | Measured over |
|---|---|---|---|---|
| day | Not enough history yet | |||
| week | 0 | — | 0 | 10.7 days |
| month | Not enough history yet | |||
| year | Not enough history yet | |||
How these figures are measured
Change in ratings, scaled to each window from the real gap between crawls. A window needs a full period of history before it reports anything.
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