Stirrup vs Presto Voice

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-10-30
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Stirrup or Presto Voice: which should you choose?

DimensionStirrupPresto Voice
PricingFree (open-source)Contact for pricing
Target UserDevelopers building AI agentsQSR chains with drive-thrus
DeploymentSelf-hosted (Python package or template)Cloud-based, integrated with POS/headsets
Core CapabilityOrchestration of LLM-based agents with toolsDrive-thru voice order automation with upselling
IntegrationsOpenAI-compatible LLMs, MCP, web search, code executionElevenLabs, POS, headset systems
Latest NewsNo recent newsDairy Queen partnership (2026-04-16)

For a QSR chain seeking to automate drive-thru ordering and boost revenue via upselling, Presto Voice is the clear choice with proven ROI and recent partnerships like Dairy Queen. For a developer building custom AI agents with full control, Stirrup offers a lightweight, free open-source framework. They serve entirely different needs; you wouldn't compare them directly unless evaluating voice AI vs. general agent tooling.

Stirrup
Stirrup

Open-source Python framework for building model-driven AI agents with built-in web, code execution, and MCP tools.

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Presto Voice
Presto Voice

Presto Voice AI automates drive-thru order taking and upselling at the speaker post

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Pricing
Free
Contact Sales
Plans
—
—
Popularity
2 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
APICLI
API
Categories
🕸️ Agent Frameworks & Orchestration📦 LLM App Frameworks & SDKs🔌 MCP Servers & Agent Tooling
🍽️ Restaurant & Hospitality☎️ Voice AI Agents & Phone Automation
Features
Model-driven orchestration that lets the LLM choose its own approach to tasks
Built-in web tools for online search and web fetching
Web search requires a BRAVE_API_KEY; the agent runs without it
Code execution in a local shell, Docker container, or E2B sandbox
MCP client for Model Context Protocol integration
Skills system for modular, domain-specific instruction packages
Generic Tool class defined with Pydantic parameter schemas
EmptyParams for parameterless tools
Sync and async tool executors with thread offloading for sync
ToolProvider for tools requiring lifecycle management
View Image tool for image handling
Tool metadata aggregation with ToolUseCountMetadata and custom Addable metadata
Automatic context management that summarizes conversation history near limits
Multimodal support for images, video, and audio with automatic format conversion
Pre-built provider support for OpenAI-compatible APIs, LiteLLM, or your own client
Automated drive-thru order taking via voice AI at the speaker post
Continuous upselling of add-ons and specials to raise average order value
Spectrum of Voice AI approaches rather than a single model
Up to 95% non-intervention rate on drive-thru orders (vendor-published)
Up to 88% upsell offer rate (vendor-published)
Up to 6% monthly incremental revenue increase (vendor-published)
24/7 drive-thru ordering availability
POS and headset provider integration handled by Presto
Install at scale without disrupting live drive-thru operations
Toast POS integration via the Toast Partner Ecosystem (Sept. 21, 2026)
Managed deployment with ongoing vendor support
ROI reporting on non-intervention, upsell offer, and revenue lift
Nationwide Voice AI rollout at Wienerschnitzel, Taco John's, and Dairy Queen
15+ years of restaurant drive-thru automation since 2008
$10M raise (Sept. 28, 2026) funding Voice AI deployments and product
Integrations
Slack
Toast

Who should pick Stirrup, and who should pick Presto Voice?

  • QSR chain operator wanting drive-thru automation
    Pick: Presto Voice

    Presto Voice is purpose-built for drive-thru voice AI, with proven upselling and integration with existing POS/headsets. Recent news of Dairy Queen partnership validates its enterprise capability.

  • Solo developer building a custom agent
    Pick: Stirrup

    Stirrup provides a lightweight, flexible open-source framework to build custom agents with built-in tools like web search and code execution, ideal for prototyping or production.

  • Independent restaurant lacking drive-thru
    Pick: Stirrup

    Presto Voice is not suitable for non-drive-thru setups. Stirrup could be used to build a custom order-taking agent, but would require significant development effort.

  • Enterprise team needing guaranteed support
    Pick: Presto Voice

    Presto Voice offers enterprise-grade support and SLAs, while Stirrup is community-supported with no formal SLAs.

  • Researcher experimenting with agent orchestration
    Pick: Stirrup

    Stirrup's open nature and model-driven orchestration allow flexible experimentation without rigid workflows, ideal for research.

Frequently Asked Questions

Stirrup vs Presto Voice: which should you choose?

For a QSR chain seeking to automate drive-thru ordering and boost revenue via upselling, Presto Voice is the clear choice with proven ROI and recent partnerships like Dairy Queen. For a developer building custom AI agents with full control, Stirrup offers a lightweight, free open-source framework. They serve entirely different needs; you wouldn't compare them directly unless evaluating voice AI vs. general agent tooling.

What does 'non-intervention rate' mean for Presto Voice?

It refers to the percentage of orders handled entirely by AI without human staff intervention. Presto Voice claims up to 95%.

Can I use Stirrup for voice-based applications?

Stirrup itself doesn't include voice input. You would need to add ASR/TTS via external libraries or APIs.

Does Presto Voice offer a free trial?

Pricing is contact-based, so a trial may be available upon request, but it's not publicly self-service.

Is Stirrup suitable for non-developers?

No, it requires Python programming skills. It is not a no-code solution.

What POS systems does Presto Voice integrate with?

It integrates with major POS and headset systems, but specific names are not listed; enterprise sales would clarify.

What LLM providers does Stirrup support?

It supports OpenAI-compatible APIs, LiteLLM (Anthropic, Google, etc.), and custom clients.

Does Presto Voice work for dine-in or delivery?

No, it is designed for drive-thru and phone ordering only.

Is Stirrup production-ready?

It can be used in production but requires your own infrastructure and monitoring; no SLAs provided.

What else are Stirrup and Presto Voice compared with?

Where can you read more about Stirrup and Presto Voice?

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