LM-Kit OneThe Private AI Application Server
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KarmaBox
Run your own Claude Code in your pocket.
770 followers
Run your own Claude Code in your pocket.
770 followers
Run hundreds of AI agents from your phone. Turn your devices into a private compute pool, route every task to the best AI, and use Claude, Codex, Gemini and more — no infra, no lock-in.
Running AI agents from your phone sounds powerful… but I wonder how practical that is for heavier workloads.
KarmaBox
@ritu21 Totally fair — the heavy work doesn’t run on your phone.
The phone’s just the control layer. The actual workloads run on your laptop, servers, or whatever devices you connect.
So it scales with your setup, not your phone 👍
KarmaBox
@ritu21 The phone acts as your control console — the heavy lifting happens on your own compute devices or in the cloud. We also offer desktop-grade hardware for those who need local execution and maximum data security.
I didn’t realize how much time I was losing waiting for one step to finish before starting the next.
KarmaBox
@shaowei1 Exactly — that hidden waiting time adds up more than people expect.
Once things run in parallel, you stop thinking in “steps” and start thinking in outcomes.
Curious what kind of workflows you felt this the most in?
KarmaBox
@shaowei1 That's the hidden cost of sequential AI — KarmaBox reclaims all that lost time by running everything in parallel.
This is so super exciting. Very interesting. Can't wait till it's available in South Africa. Is there a wait list available?
KarmaBox
@julia_stadler Thank you so much 🙌 really appreciate it.
Right now the app is available on the App Store in North America and Southeast Asia, and we’ll be gradually opening access to more regions over time 👍
You can join the waitlist and get early access here by leaving your email:
👉 [https://forms.gle/xznxthQ6qXkmf3mS6]
We’ll send over an invite code so you can try KarmaBox early.
KarmaBox
@umberto_abbatantuono Thanks for checking it out — and totally understand.
Right now we’re in the first rollout phase, so the iOS app is only available on the App Store in North America and Southeast Asia.
We’ll be gradually opening up Android, web access, and more regions over time.
Really appreciate the feedback, and hopefully we’ll get a chance to have you try it in the near future 🙌
claude code in your pocket is something i didnt know i needed until just now. the gap between desktop and on-the-go for serious coding work has always felt unbridgeable.
KarmaBox
@renkethye Haha that “desktop ↔ on-the-go gap” was exactly what pushed us to build this 🙌
You can apply for an invite through the link [https://forms.gle/xznxthQ6qXkmf3mS6] — we’re giving early users 1 month of Pro free to try it out.
Would love to hear what your workflow feels like once you’ve had a chance to test it 👍
KarmaBox
@al_sims Glad you like it 🙌
Right now it’s iPhone first, but Android is definitely on the roadmap — we’ll open it up soon 👍
Triforce Todos
This is a genuinely interesting concept.
Quick question, BTW, how does KarmaBox handle task routing decisions? Is it rule-based, or does something smarter decide which model gets which job?
KarmaBox
@abod_rehman Great question — this is actually a core part of how KarmaBox works.
It’s not just rule-based. We use a routing layer that looks at the task context and decides which model, agent, and even which device should handle each part.
Think of it less like fixed rules, and more like a system that’s continuously choosing the best path for the job.
Still evolving, of course — would love to hear how you’re currently handling routing on your side 👀
KarmaBox
@abod_rehman Great question! 👍
KarmaBox uses a hybrid routing approach that combines rules with intelligent decision-making:
How it works:
1. Intent Analysis
We first parse your request to identify the task type (writing, coding, research, automation, etc.)
2. Smart Model Selection
Based on the task, we route to the most suitable model:
Code tasks → specialized coding models
Creative writing → creative-focused models
Complex reasoning → more capable models
3. Parallel Orchestration
When a task has multiple subtasks, we intelligently split them across models that can work simultaneously
4. Adaptive Learning
The system learns from your preferences over time, making routing more personalized
Under the hood:
It's a mix of rule-based heuristics (for speed and predictability) and ML-based routing (for complex decisions). The goal is to give you the right tool for each job without you having to think about it.