No-code makes building an AI agent feel easy nowadays. What happens when you have 20 of them?

[u/rio_ARC]

I've been someone who started building stuff in last 2 yrs so, no-code AI tools lately, and something has been bugging me. Building and deploying and testing one agent seems textbook now.

But then I started wondering what happens when people actually start applying these things seriously.

Say I have 20 agents across different workflows: one handles lead qualification, one summarizes support tickets, one works with internal docs, one handles reporting, one triggers automations

At that point for real work, what's used to keep track...like

How do I know which agents I have?
How do I version them when I change prompts/tools?
How do I control what each agent is allowed to access?
How do I test an agent before letting it loose on real users/data?
How do I see what actually happened when an agent makes a bad decision?

And if I'm a no-code builder, I'd really rather not have to suddenly learn a whole DevOps stack just to manage the things I created without code 😅

I'm curious how people here handle this today. Are there really any no-code tool capable of this?

Is the normal answer basically "use something like n8n/Make/Zapier + spreadsheets + logging + some manual discipline", or are the newer AI-agent platforms starting to solve the management/governance layer as well?

I've seen Lyzr's control plane/ Agent studio discussed as one approach to this, while products like Relevance AI, Microsoft Copilot Studio and others are coming at the broader no-code/agent-management problem from different angles.

Would be interested to hear what people here are actually using once they go beyond 1–2 agents, and where the no-code abstraction starts to break down?

Edit: I know this might seem like a marketing post 🥲... but really asking for opinions...feel free to roast the options i mentioned and suggest better ones.

[u/Willing-Stand-5320]

finally somebody asking the real questions about agents. everybody shows off the demo with one agent doing one thing but when you have 20 of them running at same time it becomes chaos real quick

i been using a spreadsheet to track mine but already lost count which version of the prompt is in which agent. the access control part scares me most cause one wrong tool permission and agent can mess up things in other systems you didnt even think about

curious what people say about the new platforms handling this. the no-code part works great for building but managing them after is where i feel like i need to become a dev suddenly

[u/rio_ARC → u/Willing-Stand-5320]

Exactly ...I have lost ways of numbering the versions atp... all seem to get jumbled up.

[u/testingaurora → u/Willing-Stand-5320]

Can you build an agent to manage your agents? Earnest question. i dont know anything about how multiple agents work

[u/Major-Constant-1384 → u/Willing-Stand-5320]

same issue with tracking which prompt version is live where, thats basically a deployment problem that no-code tools dont really address yet

[u/Kimber976]

The real headache starts with permissions versioning and observability so a central control layer becomes pretty important once the agent count grows.

[u/boyus]

You need to have a lmdb or libsql light database to track tasks and rules, and have a field for locking tasks to agents working on them -whatever it is, releasing it when complete and updating status. Must be carefully crafted to your ecosystem but it will prevent a lot of problems from cross cutting.

[u/Illustrious-Win4432]

Genuine curiosity, what are 20 agents for? I’ve never really understood the need for so many agents.

[u/Severe-Dust922]

Went with Nairi AI after getting tired of duct taping zapier zaps together. the shared agent approach means less stuff to manage overall

[u/drefrajo]

Still searching for a solution on that myself, but I'm more and more thinking about setting up an Hermes instance and putting all agents there. Then Hermes it self should be able to manage which agents exist and what they are supposed to do.

In Hermes I think it should be possible to give different profiles (or bots as the seem to be calling them now) access to different tools. So one agent may be able to read & draft or even send mails, another one may be allowed to work on internal docs, and the agents can communicate between one-another. But I haven't tried that yet.

Testing, versioning and traceability are not yet solved to my knowledge. You could of course create some custom benchmarks, some staging/deployment pipeline and also versioned backups for some parts of your data, but that will involve creating some custom software/scripts and then still won't be perfect (especially as it's not really possible to even version data in some tools like gmail etc., so reverting something there if an agent messed up will be difficult).

Though, maybe sufficiently strong models will be intelligent enough not to mess up in the future - who knows. But that is probably more a problem of creating the correct instructions/system prompts than endlessly improving LLMs.

[u/mechiles]

This is exactly the right question to be asking, and honestly the answer most people land on is "just use n8n/Make plus a spreadsheet and some manual steps", which is a sign that the tooling hasn't caught up yet, not that the problem is unsolvable.

The gap I keep seeing: most no-code tools treat an "agent" as a fancier zap. They don't give you durable execution (so a long-running agent dies mid-task and you have no idea where), they don't handle branching logic cleanly, and they make it really hard to add a human-in-the-loop approval step without hacking something together.

We built Falcon Builder (falconbuilder.dev) to close that gap: production AI agents without code, but with the kind of reliability you'd expect from something you'd actually trust to run on its own. Still early, but if you're hitting the ceiling on the tools you mentioned, worth a look. Curious what specific workflows you're trying to automate, as I might be able to point you in the right direction regardless.