AgentPulse by Rectify - Everything in OpenClaw's terminal, you can now do visually
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AgentPulse is the visual command center for OpenClaw. Everything you do in the terminal, you can do here: monitor agents, manage sessions, run cron jobs, track spend, assign tasks, review memory logs, and manage skills. No SSH. No JSON configs. And it's built for teams: set role-based access so your developers get full control while clients get a view-only seat where they can still talk to Quanta, your AI operations agent, to understand what's happening.
Replies
Rectify
@umar_lateef ip whitelisting and ssh tunneling included? it’s clear you guys actually thought about the security side for agencies. most tools just focus on the 'cool' ai stuff and forget the boring (but important) infra.
The 3D office for monitoring agents is something I've never seen before. Is it just a visual gimmick or does it actually make it easier to spot which agent is stuck or failing at a glance?
Rectify
@abhra_das1 Great question! It's definitely not a gimmick. The 3D office gives you an instant visual overview of every agent's status so you can spot issues at a glance without digging through logs or lists. And you can actually chat with any agent directly from the 3D view, so if something looks off you can jump straight in and interact with it right there. Think of it as a live control room for your agents.
Been using Rectify for months on a SaaS I've been developing, helping my testers better capture feedback, bugs, etc. Umar and his whole team have been phenomenal in their support & dedication to what they build. That commitment shines through in their work on AgentPulse. From the very outset, they took every comment and bit of feedback to heart - and to development. From minor bugs / visual enhancements to tinfoil-hat level security requests, they took it all seriously and engaged in open - and constructive - conversation about it.
AgentPulse took OpenClaw (for me) from "neat tool" to an organized orchestration platform. It opened up a world of possibilities I honestly didn't know existed, and made it dead easy to implement. The fact it's deeply integrated with a tool I use every day is just the icing on the cake.
Rectify
@allen_pooley1 This genuinely made our day. Thank you for taking the time to write this.
You've been with us through the rough edges, the late night fixes, the back and forth on features that most people wouldn't even think to ask for. And honestly, users like you are the reason we build the way we do. Every bug report, every security request, every "have you thought about this" message pushed us to make Rectify better.
SSH Tunnel came from your feedback and for that we are ever grateful
Hearing that AgentPulse turned OpenClaw from a neat tool into something you're actually building with means more than any upvote ever could. That's exactly what we set out to do.
We're not done. Not even close. And your feedback will keep shaping what comes next 🧡
The client view-only seat with Quanta access is a smart call, we're building something similar at TalkBuildr where agencies manage AI chatbots for clients and the biggest ask is always 'how do I let my client see what's happening without breaking things.' How are you handling the handoff when a client wants to go from view-only to actually tweaking agent behavior?
Rectify
@cuygun Great question. Right now we handle it through permission levels, so you can control exactly what each user can see, trigger, or configure. If a client needs more access, you just adjust their role. Plus everything is logged so you can see exactly who did what and when, no blame game, just clarity. And in the next iteration we're introducing rollback, so even if someone does make a change that breaks something, you can instantly revert to the previous working version. That safety net makes it a lot easier to give clients more control without the anxiety. And the best part is clients can interact with Quanta directly to understand what their agents are doing without needing to touch any configuration. Appreciate the kind words and love what you're building at TalkBuildr 🙏
@umar_lateef, The rollback feature is the key piece honestly, that's the thing that makes agencies comfortable handing over more control. We went through the same thought process, clients always want to tweak things but the agency needs a safety net. And are you seeing agencies use Quanta as the primary interface for clients or if most still want a traditional dashboard view too?
Rectify
@cuygun Spot on, rollback is the unlock that makes everything else possible. To answer your question, it's actually a mix. Some clients love Quanta because they can just ask what's happening in plain English without learning an interface. Others still want to see the dashboard and the 3D office view for that visual overview. So we built for both. The beauty is they're not separate experiences, Quanta pulls from the same data you see in the dashboard, so whether you ask or click, you get the same answer. Most agencies we're seeing tend to start their clients on Quanta because there's zero onboarding, and then clients naturally explore the visual side once they're comfortable 🙏
This looks super promising.
Especially for agencies. RBAC + client visibility + AI explanations is a killer combo.
Would love to try this on a real multi-client setup.
Do you have any case studies or examples of teams already using it at scale?
Rectify
@parth_solanki Really appreciate that, and you nailed it, RBAC plus client visibility plus Quanta's AI explanations is exactly the combo we built AgentPulse around. No formal case studies yet, we're still early. But honestly that's what makes right now the best time to get in. You'd be shaping the product alongside us, not just using it. We're actively onboarding teams and agencies running multi-client setups and building based on exactly that kind of real world feedback. If you're up for it, let's get you in and see how it fits your workflow. Shoot us a message, we move fast 🧡
Blitzit
Looks super cool. I love that you can collaborate on managing your agents in one place! Will dig into it.
Rectify
@buildwithomar Thank you! That's exactly the idea, agents shouldn't be a solo experience when you're working as a team. Would love to hear what you think once you dig in, your feedback means everything to us 🧡
Ogoron
This is a seriously interesting take on agent ops: turning it into a visual command center (and even a 3D office) makes something quite abstract feel much more tangible and manageable.
Also love how you’re combining monitoring, workflows, and client management into one system — feels like the direction many teams will need as agent-based systems scale.
We also launched on Product Hunt today — building Ogoron, an AI system that automatically generates and maintains test coverage as products evolve. Different layer of the stack, but very similar goal: bringing structure and reliability to increasingly complex systems :)
Good luck with the launch!
Rectify
@yanakazantseva1 Really appreciate you taking the time to write this, especially on your own launch day.
That says a lot about the kind of team you are. You nailed it, as agent systems scale, teams need visibility and structure or it all falls apart. That's exactly what we're building for. Love what you're doing with Ogoron too, automated test coverage that evolves with the product is something every team needs. Different layer, same mission. Good luck today, rooting for you
In the 3D view is there a way to visually see agent failures?
The memory log review feature is the one I'm most curious about. When an agent does something unexpected, how do you surface whether it was a skill failure vs. a bad memory entry vs. just a weird model call? That distinction seems like it'd be really hard to debug visually without knowing where in the chain things went sideways.
Rectify
@kavin_jeya Great questions. Yes, in the 3D office view you can visually see agent failures in real time. Agents that are stuck or failing are flagged so you can spot issues at a glance without digging through anything.
On the memory log side, you're right that debugging the "why" behind unexpected behavior is the hard part. We break it down so you can trace through the chain and see where things went wrong, whether it was a skill failure, a bad memory entry, or a model call that went sideways. You're not just looking at the outcome, you're seeing the steps that led to it. That clarity is what makes the difference between guessing and actually fixing the problem.
Appreciate the thoughtful questions, this is exactly the kind of feedback that helps us make the debugging experience even better
Happy launch day! Finally, a proper GUI for OpenClaw. The number of hours I've lost digging through terminal logs is painful. Being able to visually manage skills and cron jobs instead of editing JSON files is the big win here.
Rectify
@krutytskyi We felt that pain too, way too many hours lost in terminal logs. Glad those days are behind you now. Thanks for the support today 🧡
@umar_lateef You're welcome! Definitely a shared pain point, haha. Hope the launch is a huge success
Rectify
@krutytskyi Thank you Dmytro, appreciate you 🙏🚀
nice — the visual layer on top of openclaw is something that's been missing. being able to track spend and manage sessions without ssh feels like a huge quality of life upgrade for teams. quick q though, how does it handle multi-model setups? like if you're running different providers across agents, does the spend dashboard unify all that or is it openclaw-native only?
Rectify
@abhisheksinha123 Great question. Right now AgentPulse is built specifically for OpenClaw, so the spend dashboard covers everything running through there. But we're working towards being platform agnostic so multi-model and multi-provider support is definitely on the roadmap.