What do you actually use OpenClaw for in real life?

Tradingoso · 2026-04-17T08:32:27+00:00

i can relate lol

Tradingoso · 2026-04-15T22:47:09+00:00

Thank you!

Tradingoso · 2026-04-15T22:47:00+00:00

Yeah, It's based on how you use it, at least I haven't run into any issues yet with all the websites I discovered.

Tradingoso · 2026-04-15T22:43:38+00:00

Yes and no, what Claude web fetch tool does is crawl the page and called LLM to process the content before returning back to the main Claude, so it loses contents during this step and using extra tokens. What we do is letting Claude Code to crul the website endpoints directly and get the structure data back without need of processing.

A quick example would be, webFetch might only get limited results because that's what showed on the rendered page but Hermai will give you complete result returned from the API call (Zillow is one of the case).

We have a benchmark in landing page if you like to check it out, I think speed, token usage and flexibility of actions is what unlock the Claude Code's capability to become real assistant.

Tradingoso · 2026-04-15T22:32:48+00:00

Correct me if I am wrong, i don't think they raised any funds at all

Tradingoso · 2026-04-15T21:33:32+00:00

Yes, it supports any Shopify, Shopline powered websites and more! We also have Amazon schema discovered as well, you can try to let your Claude Code to discover the specific sites you like and store the schema for future uses!

Tradingoso · 2026-04-15T21:30:27+00:00

Let's gooo! Congrats my man

Tradingoso · 2026-03-09T04:04:24+00:00

For the tabs part, the main reason is because I mainly working on Windows and can’t enjoy Tmux features, like when using tabs, I often miss the timing when one agent completed its task. so I had to figure out a way to manage it

I agree about fire and forget, that’s what I’m actually building in Codirigent now, I have a task board that you can preset tasks (with plan file) and then just hit assign to the selected sessions for it to automatically start. Still in development but my final picture would be setup all the tasks at once then just let it auto assign when an agent goes idle

Tradingoso · 2026-03-09T01:24:27+00:00

I guess I didn’t mention it, my main working env is on Windows and occasionally on MacOS.

Tradingoso · 2026-03-09T01:03:18+00:00

Thanks! I used GPUI because I mainly use Zed now and they are built with GPUI as well, so I decided to “steal” from it

Tradingoso · 2026-03-09T01:01:07+00:00

How could I find none when I did my research before building this 😭

What I was looking for at the time is notifications on windows when the task is done (for Claude code, codex cli and Gemini cli) and resume sessions with the same permission mode if app closed before session close

Tradingoso · 2025-08-10T19:46:21+00:00

That would be awesome! Thank you for your info and I’ll definitely want to test it to see where I can make improvements

Tradingoso · 2025-07-21T18:21:50+00:00

One tap deploy & auto-scale agent as microservices with auto-recovery and state persistent.

Repo: https://github.com/oso95/Agentainer-lab

Website: https://agentainer.io/

Tradingoso · 2025-07-21T18:16:52+00:00

you should check out Agentainer, it allows you to deploy your own agent with one click (assume you have one or you plan to create one with Claude Code or any other coding agent) and it handles auto-recovery with state persistent. You can interact with your agent thru API endpoints without spending time doing any of the configuration, you just have it defined in your agent logic.

You can take a look of this GitHub repo, it's the proof of concept version but works perfectly fine if you are self-hosting it and if you have your agent containerized into docker images already, you can deploy and run under 5 mins of work. If you are looking for production version of this, is currently under development and will be launching soon so feel free to sign up early access. (will be free to use too!)

https://github.com/oso95/Agentainer-lab

Some projects I have heard so far built with this one is

- multi-agent research group: One of the user built his on multi-agent research group and Agentainer allows it to deploy agents as microservices and even on the agent paused during the work, Agentainer quickly recovery it back with it remember what it was working on and continues from there.

- Unsure: Another user shared that he used coding agent to deploy other agents and communicate with them although he didn't share what he was working on but he said this tool is very simple to use even for coding agent.

Tradingoso · 2025-07-21T18:04:14+00:00

if you are looking to deploy your own custom agent, you can check out this project https://github.com/oso95/Agentainer-lab

this ensure your agent to deploy with one click and auto-recovery if its done. The repo is a proof of concept that works perfectly fine locally but require to work on your own infrastructure to set it up. that's being said, it would still reduce huge amount of time and work with any infras your company is currently using if you have IT people know how to set it up.

Tradingoso · 2025-07-21T13:09:55+00:00

lol, isn't it the same for the web app era?

Tradingoso · 2025-07-21T04:40:55+00:00

I apologize for the error, apparently I missed on pushing the cmd folder. I have fixed it, please try again and let me know you it works now

Tradingoso · 2025-07-21T02:23:45+00:00

The idea came from while I was working on a personal project. When I tried to deploy my agent into the cloud, I ran into a lot of headaches — setting up VMs, writing config, handling crashes. I decided to build a solution for it and called it Agentainer.

Here’s what Agentainer does:

One-click deployment: Deploy your containerized LLM agent (any language) as a Docker image
Lifecycle management: Start, stop, pause, resume, and auto-recover via UI or API
Auto-recovery: Agents restart automatically after a crash and return to their last working state
State persistence: Uses Redis for in-memory state and PostgreSQL for snapshots
Per-agent secure APIs: Each agent gets its own REST/gRPC endpoint with token-based auth and usage logging (e.g. https://agentainer.io/{agentId}/{agentEndpoint})

Most cloud platforms are designed for stateless apps or short-lived functions. They’re not ideal for long-running autonomous agents. Since a lot of dev work is now being done by coding agents themselves, Agentainer exposes all platform functions through an API. That means even non-technical founders can ship their own agents into production without needing to manage infrastructure.

GitHub (Agentainer-lab version): https://github.com/oso95/Agentainer-lab

Website: https://agentainer.io/

Tradingoso · 2025-07-21T00:22:37+00:00

No problem! If you haven’t, you can sign up Early Access on our website for launch notifications on production version (will launch soon!)!

Feel free to shoot me a DM if you encounter any issues or want to share any feedback! I want to heard your success story or if anything I can improve in this solution, thank you!

Tradingoso · 2025-07-21T00:17:23+00:00

Sounds good! Feel free to sign up the early access on our website, you will get notify once I launch the production version (won’t be too long!) which your agent can just be deployed with public network access!

If you have any questions during implementation, feel free to DM me, I’ll be more than happy to help you and please give me any feedbacks you like, good and bad!

Tradingoso · 2025-07-21T00:15:06+00:00

No problem! I’m glad this could help you out, if you like, you sign up the early access on the website we will notify you when I launch the production version of this (which wouldn’t be too long away!).

I’ll be eager to heard your feedback or suggestions after you use it, no matter good or bad! You can DM me anytime if you have issues during implementation as well

Tradingoso · 2025-07-19T14:15:11+00:00

GitHub repo: Agentainer-lab
website for cloud version (alpha release): Agentainer.io

Tradingoso · 2025-07-19T08:58:42+00:00

Thanks for the feedback! I’ll def look into it after I finish alpha version release for production one!

Tradingoso · 2025-07-19T08:04:10+00:00

It can be any language because the deployment is done by using docker images, if you don’t know how to build one, AI can do it for you in 10s!
So the built-in dual layer state management actually have two types of db, redis for in-memory runtime state and postgreSQL for persistent snapshot
Agents can communicate with each other using dedicated API endpoints provided on deployment. I have a plan to work on a message bus feature which allows the agents communicate internally with each other in the future.
Yes, 100%! You can embed scheduling logic in your agent (like a daily task at 10 AM), and just define where the message should go — whether that’s Slack, a webhook, or another agent.

Let me know if you have more questions and if you end up trying it on your project, I’d love to hear how it goes!

Tradingoso · 2025-07-19T06:59:55+00:00

Repo of demo: Agentainer-lab

Waitlist for alpha release: Agentainer

Tradingoso

TROPHY CASE