So, there obviously have been a lot of tools focused on building AI agents. Very few, however, are talking about what happens after you deploy them.
Coming from a software development background, this feels like the obvious next layer.
We have CI/CD, observability, testing, incident management, version control, and performance monitoring for traditional software.
What does that stack look like for AI agents?
Kopai
Hey Product Hunt! 👋
I'm Surya, co-founder of Kopai.
Domain experts have knowledge worth paying for, but their income is capped by their calendar. One consultation, one hour, one client at a time. AI agents change that math: package what you know once, and let it solve the same problem for hundreds of people without you in the room.
Building the agent turned out to be the easy part. The real questions were: how do you package knowledge so an agent actually knows it, how do you prove the agent works, how do you charge for it, and how does a stranger trust an agent from someone they've never met? That's the layer nobody had built, so we built it: an agent harness, RAG and orchestration, an evaluation pipeline, and a pay-per-use ledger that handles the entire money lifecycle.
We're deliberately not chasing publish counts. We're running workshops with domain experts and tracking one number: paid usage per agent. Alongside that, we're deploying the same infrastructure into enterprises that need production-grade agents running behind their own firewall.
Two markets, one stack. We'd rather prove both work than assume either does.
Try building an agent, or just poke at what's live, and tell us where it breaks.
Kopai: https://usekopai.com
BetterClaw
@suryasekhar Congratulations on launching, all the best friend!!
Kopai
@better_shab Thanks for the constant support, Shabnam!
Kopai
Hi Product Hunt Team,
It has been a crazy 2 months after out first launch. It may seem a little too quick to do our second one but we have a good reason, I promise.
Kopai is now the cloud for AI Agents. You can create, host, distribute and monetise your AI Agents. That is not all, you have full lifecycle support, that is the evaluation and analytics supports for your agents.
Finally if you want to use it in your own platform, we have API's that let you do so, without ever having to bother about the underlining mechanics of Agent creation.
Underline tools:
Multi Agent Orchestration
RAG
LLMOps
Over 900+ connectors
API Integrations
Eval System
HITL
Analytics
You can now manage your team as well, we have a dedicated workspace for you to invite and collaborate with your team.
Thank you for all your reviews and your constant support. We are open to discussion and feedback. Do leave a review
Thanks,
Team Kopai.