AI Agent Frameworks for Startups: Evaluating 7 Leading Options
Ask an agent a question and it will answer. That part is easy. Research is harder: it has to go look things up, pull the useful bits together, compare them, and write something you can actually use. A second agent might check that work, or just pick up the next task. None of this runs on its own. A framework has to sort the handoffs, decide which tools get called, and do something other than freeze when a step fails.
Demos skip the freeze. A startup puts an agent on prospect research, or on customer requests, and one bad tool call can stall the whole run. Starting again from the middle is not guaranteed. A log a person can read is not guaranteed either. Do this thousands of times and two dull questions get urgent: who is paying for it, and who is holding the data it stored on the...
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