Launched this week
MuleRun
Raise an AI that actually learns how you work
973 followers
Raise an AI that actually learns how you work
973 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.
Curious about the feedback loop when it comes to "self-evolving" feature. How does it know what is the "correct" thing to learn and not pick up bad habits?
MuleRun
@tteer MuleRun's self-evolution is anchored to your explicit behavior, not unsupervised inference. It learns from what you correct, what you approve, what you repeat, and what you discard. When you tell it "no, use this tone instead" or "that analysis missed the point, here's what I actually need" — that's the training signal. It's building a model of your decision logic, your preferences, your standards.
So it's less "AI teaching itself" and more "you shaping a digital employee through daily work." The same way a junior hire gets better by watching how you react to their output — except MuleRun has perfect recall and never forgets the correction.
What prevents bad habit formation?
A few things by design:
You remain the authority. MuleRun doesn't silently lock in behaviors. When it acts on a learned pattern — say, auto-formatting a report a certain way because you've preferred it five times before — you can override it anytime. One correction updates the model. It doesn't argue with you or revert.
Transparency of learned context. MuleRun's long-term memory isn't a black box. Your preferences, established workflows, accumulated knowledge — these are inspectable. You can see what it "thinks it knows" about you and correct or remove anything that's wrong. Think of it as a profile you can audit.
The knowledge network acts as a quality filter. On the collective intelligence side, agents and solutions shared by users don't just get blindly propagated. They're weighted by validation — how many users have successfully applied them in similar scenarios. High-weight solutions surface; untested or poorly-performing ones don't. It's closer to peer review than viral spread.
MuleRun
@grey_seymour Appreciate you flagging that — genuinely helpful. We're on it, fixing those now. Launch week typos are embarrassing but solvable. Glad the concept resonates. Jump in and give it a spin — and if you run into anything else, we're all ears. Thanks for the support!
Just curious, most AI tools lose context after a session or hit a token limit, forcing you to start fresh each time. Since this AI is meant to 'learn your habits' over time, how does it handle long-term memory? Does it retain what it's learned about you across sessions, or does it reset after each conversation?
MuleRun
@terrance_jones1 Every user gets a dedicated cloud VM that runs 24/7. Your agent doesn't "live" inside a chat window — it lives on that machine, with its own persistent file system and memory layer. When a session ends, nothing is lost. When you come back — whether that's two hours or two weeks later — your agent picks up with full context of everything you've discussed, every preference you've set, every correction you've made.
The token limit problem you're describing is real — and it's a design constraint of stateless chat products. MuleRun sidesteps it entirely because memory isn't crammed into a context window. It's a persistent layer that the agent draws from as needed, without forgetting older knowledge to make room for new input.
Very nice idea, but the demo kind of confused me. Is this only related to coding and making products? Or is it also connected to the various platforms you use while working, to "learn" from you as mentioned?
MuleRun
@matteo_avalle Good question — it's not just for coding. The demo skews technical, but the actual product is much broader. MuleRun connects to platforms like Telegram, Discord, and more. It learns from your interactions across all of them. Whether you're doing e-commerce operations, investment analysis, content production, or research — it adapts to your workflow regardless of domain. Real examples from early users: Etsy store owners automating product listings, traders getting daily market briefs, content creators producing short dramas — none of these are coding tasks.
“Raise your AI and watch it evolve” is such a cool framing! Curious how fast the learning actually happens in real usage.
MuleRun
@blink_66 I guarantee it will blow you away!
MuleRun
@blink_66 Glad that framing resonates — it really does capture how we think about the relationship between user and agent!
On learning speed: it's genuinely two-speed. Explicit preferences — tone, format, recurring instructions — are picked up immediately and carried forward from your very first sessions. The deeper layer, where MuleRun starts anticipating workflows and acting ahead of you, builds more gradually as it accumulates real behavioral signal. Most users notice that shift after consistent use over days and weeks rather than hours. The more varied the tasks you run through it, the faster that model of you sharpens. It compounds — which is kind of the whole point.
This would be a game changer for AI. It seems like a lot of AI eb and flow knowing your working style etc but a dedicated AI would be awesome almost like building your own AI platform.
MuleRun
@krystle_berry That's literally the vision — your own AI platform that compounds on everything you do. Most AI tools are shared infrastructure with no memory of you. We flipped that. Your MuleRun instance is yours alone — it builds up knowledge, adapts to your style, and never resets.
MuleRun
@alexander_miller_bakewell Appreciate you flagging this! You're right on both counts — we definitely want to know, and it's getting fixed. Mobile pricing page should be clean shortly. Thanks for checking us out, and feel free to ping me if you hit anything else.