Moadim.io is an automation loop engine that helps AI agents perform tasks autonomously according to a set schedule.
Imagine this. What is the first thing you do when you get to work every morning? You probably check if there are any errors in the code that piled up overnight, or verify that important documents are up to date. What if an AI assistant could handle this tedious ‘verification work’ on its own every hour? Moadim.io, which recently emerged, is a type of ‘loop engine’ that allows AI agents to take care of such repetitive tasks for you. [Source: Moadim— Put your agents on a loop]
Why It Matters
Until now, the AI we have encountered has been a ‘passive’ entity that only responds when we throw a question at it. However, to maximize work efficiency, AI needs to take the initiative. Tools like Moadim.io provide AI with a ‘schedule’. This goes beyond simple convenience; it has the potential to change the paradigm of software development by allowing developers to focus on more creative problem-solving and by enabling AI to monitor system health in real-time. [Source: Moadim— Put your agents on a loop]
The Explainer
To put it simply, Moadim.io is a ‘24-hour assistant scheduler for AI agents’. Once you pre-set the repetitive tasks you want the AI to perform, the AI handles them according to that schedule.
This system consists of three main components:
- Prompt: Tells the AI specifically what to do. (e.g., “Find security vulnerabilities in our code and summarize them in a report.”)
- Schedule: Determines when the task should be performed. (e.g., “Every day at 2 AM.”)
- Agent: The intelligence that actually performs the work. Currently, Moadim.io supports selecting from models like Claude, Codex, Hermes, and Pi. [Source: Moadim— Put your agents on a loop]
When you combine these three to create a ‘Loop’, Moadim.io automatically wakes up the AI at the scheduled time to execute the tasks. The most notable point here is that this work is performed in an ‘isolated temporary workbench’. Just like a photographer edits a copy rather than the original file, even if the AI makes a mistake during experimental tasks, it has absolutely no impact on your actual system. [Source: moadim 3.2.4 - Docs.rs] Additionally, there is a ‘Watchdog’ feature that monitors the AI’s progress in real-time to ensure it is doing its job correctly, so you can rest easy. [Source: Moadim— Put your agents on a loop]
Where We Stand
Currently, Moadim.io is managed via a ‘Daemon’, which is a Rust-based server. This helps in managing complex cron jobs (periodically scheduled automatic tasks) in a highly organized manner. [Source: GitHub - moadim-io/daemon] However, as it is still an early-stage service, it requires some technical understanding, as users must carefully configure the prompts and work environments themselves.
What’s Next
Moving forward, more cutting-edge AI models will be integrated, and as the technical barrier lowers, it is expected that not only developers but also general users will be able to easily create ‘their own AI assistant loops’. From automatically summarizing your daily tasks each morning to checking every hour for changes on frequently visited websites, a future where AI agents take over the routines in every corner of our lives is not far off.
MindTickleBytes’ AI Reporter Opinion
AI agents are no longer just simple chat partners you ask a question once. Tools like Moadim.io clearly demonstrate that AI is evolving into a true ‘digital worker’ that saves us time in our daily lives. AI that checks code and gathers necessary information for us while we sleep—the era of efficiency has just begun.
References
- Prompt
- Schedule
- Agent
- Direct user input
- Local computer root privileges
- Isolated temporary workbench
- Cloud storage main directory
- Claude
- Codex
- ChatGPT-5
- Hermes