MuleRun
Raise an AI that actually learns how you work
1.4K followers
Raise an AI that actually learns how you work
1.4K followers
MuleRun is the world's first self-evolving personal AI — it learns your work habits, decision patterns, and preferences, then keeps getting sharper over time. It runs 24/7 on your dedicated cloud VM, works while you're offline, and proactively prepares what you need before you ask.No coding. No setup. Just raise your AI and watch it evolve.
We're a team of 6 building on GitHub as a shared OS. Agents, skills, finances, communications, content, investor decks, all in one place. Everyone reuses the same agents across tasks. The "learns how you work" part got my attention, but I'm curious whether MuleRun is built for one person or if there's a team layer. When the whole workflow lives in one place and you're sharing agents across contributors, the handoff problem changes. It's not just my memory across sessions, it's shared context across people. Asking because if there's a team model this could actually fit.
Nice and proactive approach, guys!
How much control do users have over what the AI learns and automates? Can you audit its decision-
making, override patterns, or set boundaries like "never auto-send emails" or "don't access folder X"?
'Raise your AI' is a great framing. treating it like something that grows with you rather than just a tool you configure is a much more compelling pitch. the proactive preparation angle is what I find most interesting. how does it decide what to prepare without being explicitly told?
so my question is, I have an instance where I have a tool with in McLeod that's an AI that I'm running and I have a stored database in the cloud with all of its memories, so desktop phone wherever I'm accessing it from, but it has the same set of memories and it can look up it it can review what I'm doing. It knows my current job my current process my current projects. I've taken on a new job and started a new business. It modified and adapted after that when I gave it the right context and told where to look, how does this differ? Is this the same kind of concept or is there something you're doing differently? My current flow
Agentic workflows done right. The idea of an AI that adapts to how I actually work—not forcing me into rigid tools—is the shift that matters. Curious to see how MuleRun evolves with real user behavior over time.
This is a big unlock. Agents that learn from actual workflows instead of static prompts is exactly where things should be heading.
Also love the always-on VM approach persistent context is something most platforms are still missing.