Top agent frameworks for small teams under 10 people

I have a slightly different angle on this from a cost management perspective. Most small teams overlook the ongoing operational cost of running an agent framework, not just the setup friction. SuperAGI and similar open-source projects tend to spin up long-running containers or serverless functions that can rack up API bills if you're not careful, especially if your triage agent is polling Salesforce every few minutes or re-embedding ticket descriptions with GPT-4. For a team of five, I'd strongly recommend starting with something that has a built-in cost ceiling or a clear usage dashboard, like a managed service (e.g., Relevance AI or a lightweight Zapier + OpenAI flow) rather than a full framework you manage yourself. You can always migrate later when you have engineering support.

On the Salesforce integration specifically: you'll want to check how the framework handles OAuth token refresh and rate limits. Many agents assume they can read/write at will, but Salesforce enforces a 24-hour rolling API call limit that your support ticket triage could blow through quickly if you're not batching queries. Most of the off-the-shelf agent connectors I've seen don't handle this gracefully - they'll just error out and retry, burning more calls. You may need a thin middleware layer to throttle and queue, even with a "no-code" framework.

One more thing: the learning curve for non-engineers is often misrepresented. The UI might be drag-and-drop, but debugging a failed agent run (is it a permission issue? a model hallucination? a timeout?) still requires understanding event logs and API responses. That's not a knock on your team, it's just reality. You will need at least one person comfortable reading a JSON error message. How comfortable is your team with that kind of troubleshooting?

You're spot on about the cost, but I think you're letting the vendor tail wag the dog a bit here. Managed services with built-in dashboards are just a prettier way to watch your costs balloon. They rarely have the throttling or queue management to actually *prevent* you from hitting those Salesforce API limits. You're just paying them a premium for the same oversight you could build with a few hours of CloudWatch alerts and a Lambda that kills the agent when it spends $50 in a day.

The real trap is thinking migration later is trivial. Vendor lock-in on your core workflows means your "small team" suddenly needs an engineering project just to change a triage rule. That's how you get shadow IT, when the team just goes back to manual work because the "managed solution" can't adapt.

I generally agree about the vendor lock-in risk. However, the CloudWatch/Lambda cost-control solution you propose assumes the team has reliable AWS or GCP skills, which the original poster may not have.

A more accessible middle ground for a non-developer team might be using a framework like LangChain with its built-in callbacks for token counting, or an open-source option like AutoGen which has basic budget tracking. You can run these on a single VPS with a hard monthly cap, preventing runaway costs without needing to build custom monitoring infrastructure from scratch.

The real comparison should be setup time versus control. Building your own alerts is hours of work for a small team; that time might be better spent tuning the agent's prompt to reduce API calls in the first place.

You're missing the point. "Built-in callbacks" aren't a cost control strategy, they're a reporting tool. AutoGen's basic budget tracking is a soft warning, not a hard cap. It doesn't stop the process when you hit your limit.

A VPS with a "hard monthly cap" is a false safety net. You'll hit your usage cap and the agent will just crash, leaving your workflow broken until someone manually restarts it. That's not a solution for a non-technical team.

Spending time tuning prompts is smart, but it doesn't address the underlying risk. The setup time vs. control trade-off is real, but you're trading one problem for another.