Open Multi Agent vs Presto Voice

What users praise

• • TypeScript-native with only 3 runtime dependencies — lightweight and portable.
• • Goal-driven coordinator auto-generates the task DAG, cutting boilerplate significantly.
• • Supports 13+ providers and any OpenAI-compatible endpoint — true mix-and-match.
• • Production guardrails: plan inspection, approval rounds, consensus passes, loop detection.

What frustrates them

• • Documentation is still catching up — advanced features lack clear guides.
• • OpenAI-compatible providers (DeepSeek, Mistral) may have tool-calling glitches.
• • Learning curve for runConsensus, approval rounds, and loop detection is steep.
• • Visual debugging tools are missing — tracing DAG execution is text-heavy.

What users praise

• • Vendor claims up to 95% non-intervention on drive-thru orders, saving labor costs.
• • Claims an upselling engine with 88% offer acceptance and 6% revenue lift.
• • Runs a spectrum of Voice AI models to adapt to different menus and speech patterns.
• • Has 15+ years of restaurant-industry experience and national rollout references.

What frustrates them

• • No independent user reviews or community validation of the vendor's claims.
• • Brand name 'Presto' is confused with unrelated products like canners and transit cards.
• • App Store reviews for a similarly named app cite glitches, autoload failures, and connection errors.
• • Tourists report being locked out of the related Presto transit app without a Canadian address.