RevoClaw helps teams run AI agents in production: every agent runs in isolated containers with strict runtime policies, BYOK, audit trails and safe automation. It supports multi-user operations with role-based access, orchestrator-worker teams, browser and coding agent automation, Discord/Telegram/WhatsApp integrations, schedules, workflows, custom skills, MCP servers, and even adaptive learning. This is the OpenClaw-like platform businesses have been truly waiting for!
Hey Product Hunt 👋 My name is Anoop and this is my first launch.
I want to share the real story behind RevoClaw, because this launch is very personal for me.
I’ve been into the OpenClaw frenzy since the very early ClawdBot days. I was one of those people who immediately saw the potential and thought,
“This could completely change how individuals and teams run AI agents.”
The core idea was amazing. It still is. But after spending a lot of time in real usage, especially with non-trivial workflows, it became obvious that the path ahead was not smooth in practice.
I kept running into the same painful pattern: setups that looked fine one day and broke the next, runtime instability that forced frequent manual recovery, behaviour that felt unpredictable, and update cycles that too often left me fixing the stack instead of getting actual work done. I wasn’t shipping outcomes. I was babysitting infrastructure.
That realisation was the turning point for me.
I decided to build a better alternative from scratch - not something flashy, not “yet another wrapper”, but something that would simply work when used seriously. Something teams could trust in production. Something that respected operator time. Something that felt boring in the best way: stable, predictable, secure and controllable.
That is how RevoClaw was born 🚀 From day one, the focus was on fundamentals:
✅ Every agent runs in its own isolated containers, so failures are better contained and behaviour is more predictable ✅ Multi-user support with role-based access, because real teams need governance and clear boundaries ✅ Agents remember conversations verbatim from last 90 days, and can recollect from summaries upto past 3 years ✅ Orchestrator + worker agent architecture for scalable task delegation instead of one overloaded agent trying to do everything, comes with 100+ pre-built worker templates ✅ Browser automation and coding agent automation using the companion app ✅ Native integrations for Discord, Telegram, and WhatsApp ✅ Agent access to SFTP, S3, SharePoint, WebDAV servers with read/write restrictions ✅ Cron + plan workflows for reliable recurring automation ✅ Adaptive learning that improves agent behaviour from real task outcomes ✅ Runtime policy controls and full audit trails so you always know what happened and why
There is so much more to list, but perhaps the documentation - https://www.revoclaw.ai/docs/ would be the best place to read everything about it.
RevoClaw is the product I wanted to use myself for the last long stretch, and could not find in a form that felt production-ready. Do give it a try, and you will be pleasantly surprised by how good it is compared to every Claw-like agents you have used so far. We might be heading into a future where businesses will invest in an AI agent for every employee. And RevoClaw is ready for that.
🎉 We are running a recurring 50% discount on our website for the ProductHunt family, so don't forget to use PH50 coupon code while checkout.
If you’re using AI agents like OpenClaw today, I’d love your blunt feedback. If you share your use case in the comments, I’d love to hear how you’re currently running agents and what pain points you want solved most (perhaps RevoClaw has solved it already).
I had lot of fun building RevoClaw in the past few months, and I am sure that you will enjoy using it as well for your business and other serious use cases. Cheers! 🦊
“OpenClaw alternative on cloud for individuals & businesses”
RevoClaw launched on Product Hunt on April 15th, 2026 and earned 75 upvotes and 6 comments, placing #31 on the daily leaderboard. RevoClaw helps teams run AI agents in production: every agent runs in isolated containers with strict runtime policies, BYOK, audit trails and safe automation. It supports multi-user operations with role-based access, orchestrator-worker teams, browser and coding agent automation, Discord/Telegram/WhatsApp integrations, schedules, workflows, custom skills, MCP servers, and even adaptive learning. This is the OpenClaw-like platform businesses have been truly waiting for!
RevoClaw was featured in Productivity (649.8k followers) and Artificial Intelligence (466.2k followers) on Product Hunt. Together, these topics include over 213.5k products, making this a competitive space to launch in.
Who hunted RevoClaw?
RevoClaw was hunted by Anoop D. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how RevoClaw stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Anoop D
Hey Product Hunt 👋 My name is Anoop and this is my first launch.
I want to share the real story behind RevoClaw, because this launch is very personal for me.
I’ve been into the OpenClaw frenzy since the very early ClawdBot days. I was one of those people who immediately saw the potential and thought,
The core idea was amazing. It still is. But after spending a lot of time in real usage, especially with non-trivial workflows, it became obvious that the path ahead was not smooth in practice.
I kept running into the same painful pattern: setups that looked fine one day and broke the next, runtime instability that forced frequent manual recovery, behaviour that felt unpredictable, and update cycles that too often left me fixing the stack instead of getting actual work done. I wasn’t shipping outcomes. I was babysitting infrastructure.
That realisation was the turning point for me.
I decided to build a better alternative from scratch - not something flashy, not “yet another wrapper”, but something that would simply work when used seriously. Something teams could trust in production. Something that respected operator time. Something that felt boring in the best way: stable, predictable, secure and controllable.
That is how RevoClaw was born 🚀 From day one, the focus was on fundamentals:
✅ Every agent runs in its own isolated containers, so failures are better contained and behaviour is more predictable
✅ Multi-user support with role-based access, because real teams need governance and clear boundaries
✅ Agents remember conversations verbatim from last 90 days, and can recollect from summaries upto past 3 years
✅ Orchestrator + worker agent architecture for scalable task delegation instead of one overloaded agent trying to do everything, comes with 100+ pre-built worker templates
✅ Browser automation and coding agent automation using the companion app
✅ Native integrations for Discord, Telegram, and WhatsApp
✅ Agent access to SFTP, S3, SharePoint, WebDAV servers with read/write restrictions
✅ Cron + plan workflows for reliable recurring automation
✅ Adaptive learning that improves agent behaviour from real task outcomes
✅ Runtime policy controls and full audit trails so you always know what happened and why
There is so much more to list, but perhaps the documentation - https://www.revoclaw.ai/docs/ would be the best place to read everything about it.
RevoClaw is the product I wanted to use myself for the last long stretch, and could not find in a form that felt production-ready. Do give it a try, and you will be pleasantly surprised by how good it is compared to every Claw-like agents you have used so far. We might be heading into a future where businesses will invest in an AI agent for every employee. And RevoClaw is ready for that.
🎉 We are running a recurring 50% discount on our website for the ProductHunt family, so don't forget to use PH50 coupon code while checkout.
If you’re using AI agents like OpenClaw today, I’d love your blunt feedback. If you share your use case in the comments, I’d love to hear how you’re currently running agents and what pain points you want solved most (perhaps RevoClaw has solved it already).
I had lot of fun building RevoClaw in the past few months, and I am sure that you will enjoy using it as well for your business and other serious use cases. Cheers! 🦊