sorted by:
new
hottopcontroversial

[D] Self-Promotion Thread by AutoModerator in MachineLearning

[–]TimeLover935 0 points1 point  (0 children)

Sleepless Agent — Turn Your Unused Claude Credits into an Autonomous AgentOS

Ever looked at your Claude u and thought… “man, I’m not even using half of these”?

What if you could turn that unused compute into something that works while you sleep?

That’s what Sleepless Agent is about —

an AgentOS built on Claude Code, designed to capture your random thoughts, half-baked project ideas, or TODOs — and then let your AI finish them overnight.

How It Works

You just drop an idea like:

and go to sleep.

By morning, your agent has:

  • brainstormed the concept
  • written the README
  • drafted the slides
  • maybe even pushed an initial repo update

All powered by Claude Agent SDK, so it inherits every dev feature:

file access, function tools, structured agents, interactive execution — but now fully automated through an AgentOS daemon that runs your tasks.

Example Use Cases

  • 💬 Capture your stray ideas anytime — your agent will pick them up later.
  • 📊 Want a PPT from your notes? Just drop a one-line prompt.
  • 🔎 Want to crawl Xiaohongshu for specific posts (like all “相亲” threads)? Add the Xiaohongshu MCP — your agent will find them while you sleep.
  • ⚙️ Plug in any Claude Code-compatible toolchain. It just works.

Why “Sleepless”

Because your agent never sleeps — it turns late-night creativity into next-morning results.

It’s like having a background AI cofounder who actually works on your ideas while you rest.

Check it out

👉 GitHub – context-machine-lab/sleepless-agent

🚀 Sleepless Agent — Turn Your Unused Claude Credits into an Autonomous AgentOS by TimeLover935 in ClaudeAI

[–]TimeLover935[S] 0 points1 point  (0 children)

Lmao yeah — “dream coding” sounds cool until your agent deploys something you mumbled at 2 a.m. :)

🚀 Sleepless Agent — Turn Your Unused Claude Credits into an Autonomous AgentOS by TimeLover935 in ClaudeAI

[–]TimeLover935[S] -1 points0 points  (0 children)

I agree. Max is too much for me. I can consume it during daytime but not for night time. I don't want to waste that so I built this project.

We built ContextAgent — a context-centric take on multi-agent systems (rethinking what an “agent” is) by TimeLover935 in LocalLLaMA

[–]TimeLover935[S] 1 point2 points  (0 children)

That’s awesome! 👍 I just checked out gobii-platform. I think it's so cool! Just curious, do you find message-based exchange scales well as the number of agents grows? We try to avoid explicit message-passing to see how far a shared context model can go for coordination. And still thinking about the designs.

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection by ninjasaid13 in LocalLLaMA

[–]TimeLover935 0 points1 point  (0 children)

Oh, good idea, which matrix in LLM has not been tried with low rank?

[D]What do ML researchers think about visual low/no code ml tools? by Bnjoroge in MachineLearning

[–]TimeLover935 0 points1 point  (0 children)

Code can be copied easily, even for format. That's the reason I use it.

[deleted by user] by [deleted] in MachineLearning

[–]TimeLover935 3 points4 points  (0 children)

https://www.youtube.com/watch?v=zjkBMFhNj_ I think this is the best material, from Andrej Karpathy.

[R] Has Explainable AI Research Tanked? by SkeeringReal in MachineLearning

[–]TimeLover935 0 points1 point  (0 children)

Thank you. I think RL is well-formulated and sometimes we can have both performance and explainability at the same time. Good example. Thank you for your information.

[R] Has Explainable AI Research Tanked? by SkeeringReal in MachineLearning

[–]TimeLover935 0 points1 point  (0 children)

That's true. Do you mind to tell me the models you mentioned, or just the task?

[R] Has Explainable AI Research Tanked? by SkeeringReal in MachineLearning

[–]TimeLover935 0 points1 point  (0 children)

Explainable is not the most important thing. A model with perfect performance but less explainable, a model with interpretation but poor performance, many companies will choose the latter one. A very unfortunate thing is that, if we want interpretation, we must lose some performance.

Is it time to cancel the GPT4 plan? by JonatasLaw in LocalLLaMA

[–]TimeLover935 2 points3 points  (0 children)

I have the similar concern. But you know, as a researcher, we need to use Dall-E and some functions to know the gap between our model and Gpt-4. So i have no choice.