Octomind Cloud and Hub 是一个云端 AI 智能体运行平台，提供多模型支持和按秒计费，用户可远程运行任务并随时恢复会话，适合开发者使用。
热门评论
PH 用户
Last time I was here, we launched the runtime – one Rust binary, open source, run it yourself. This time I'm here because I got tired of my own agent dying.
I'd kick off a refactor, the agent would be forty minutes in, and then I'd close the lid to catch a train. Session gone, context gone, tokens I paid for producing work I'd never see. Agents are long-running processes. Laptops are not long-running machines.
So we built the thing I wanted: machines in the cloud that keep running when your laptop doesn't. The part I'm proudest of is sessions – start a turn, close the tab, lose your connection in a tunnel, the turn keeps going and the relay records every step. Open it from your phone later and the full transcript is there. We tested this by killing browsers mid-turn until we couldn't lose a byte.
The other thing: I had API keys in five dashboards. OpenRouter, Anthropic, OpenAI, Voyage, a .env file one git add -A away from being public. So the hub side is one login, one key, every model works. 21 of them, including glm-5.2 which solved 24/25 real-PR benchmark tasks – ahead of Claude Code with Opus, and it's in every paid plan.
We're bootstrapped, no investors, so we buy hardware as people subscribe. I'd rather hand out machines at the rate we can actually serve them than watch a signup rush turn into "at max capacity" for everyone.
The screenshots in the launch post are my actual account spending real cents. That was the bar – not a demo, a place where your agent works while you don't.
Ask me anything.
PH 用户
Really like the session persistence. Congrats!
PH 用户
Hey everyone, Vladimir here, one of the makers of Octomind.
We built this out of a simple frustration: AI agents that die the moment you close your laptop. Now you just hand off a task, shut the lid, and pick the session up later from any device.
Really proud of what the team shipped today. If you give it a try, honest feedback — good or bad — is the best thing you can leave here. Happy to answer any questions. Thanks for checking us out!
I'd kick off a refactor, the agent would be forty minutes in, and then I'd close the lid to catch a train. Session gone, context gone, tokens I paid for producing work I'd never see. Agents are long-running processes. Laptops are not long-running machines.
So we built the thing I wanted: machines in the cloud that keep running when your laptop doesn't. The part I'm proudest of is sessions – start a turn, close the tab, lose your connection in a tunnel, the turn keeps going and the relay records every step. Open it from your phone later and the full transcript is there. We tested this by killing browsers mid-turn until we couldn't lose a byte.
The other thing: I had API keys in five dashboards. OpenRouter, Anthropic, OpenAI, Voyage, a .env file one git add -A away from being public. So the hub side is one login, one key, every model works. 21 of them, including glm-5.2 which solved 24/25 real-PR benchmark tasks – ahead of Claude Code with Opus, and it's in every paid plan.
We're bootstrapped, no investors, so we buy hardware as people subscribe. I'd rather hand out machines at the rate we can actually serve them than watch a signup rush turn into "at max capacity" for everyone.
The screenshots in the launch post are my actual account spending real cents. That was the bar – not a demo, a place where your agent works while you don't.
Ask me anything.
We built this out of a simple frustration: AI agents that die the moment you close your laptop. Now you just hand off a task, shut the lid, and pick the session up later from any device.
Really proud of what the team shipped today. If you give it a try, honest feedback — good or bad — is the best thing you can leave here. Happy to answer any questions. Thanks for checking us out!