Open Multi Agent vs Presto Voice

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

Analysis reviewed Live tool data as of 2026-10-19
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At a glance

DimensionOpen Multi AgentPresto Voice
PricingFree (open source)Contact sales (enterprise)
Target UsersTypeScript developers building multi-agent systemsQSR chains (drive-thru)
Core TechnologyGoal-driven DAG orchestration, 13+ LLM providersVoice AI (multi-model) + upselling engine
Key IntegrationAnthropic, OpenAI, Gemini, 10+ othersElevenLabs, POS, headsets
Best ForDevs needing flexible, multi-model agent orchestrationLarge drive-thru chains wanting revenue lift

Presto Voice and Open Multi-Agent serve completely different needs. Presto is a specialized, enterprise-scale drive-thru voice AI for QSR chains seeking revenue lift and operational efficiency—backed by new adoptions like Dairy Queen. Open Multi-Agent is a free, open-source TypeScript framework for developers building multi-agent systems with any LLM, offering cutting-edge goal decomposition and local execution. Choose Presto if you run a chain of drive-thrus; choose Open Multi-Agent if you build software agents.

Open Multi Agent
Open Multi Agent

Open Multi-Agent: MIT-licensed TypeScript framework for self-hosted multi-agent orchestration with durable approvals and verifiable run

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Presto Voice
Presto Voice

Presto Voice is drive-thru voice AI that takes QSR orders and upsells every car at the speaker post.

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Pricing
Free
Contact Sales
Plans
$0/mo
—
Popularity
14 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
CLIAPI
API
Categories
🕸️ Agent Frameworks & Orchestration
🍽️ Restaurant & Hospitality☎️ Voice AI Agents & Phone Automation
Features
Goal-driven coordination (runTeam) that plans a reviewable task DAG from a goal
Explicit task graph execution (runTasks) with dependency-driven dispatch, no round barriers
Single-agent execution (runAgent) with onTaskDispatch hooks for execution routing
Durable approvals: suspend on plan, ready task, or tool call and decide later with decideApproval
Append-only run journal with verifyRun() offline verification, returning inconclusive for evicted windows
Declared governance via governanceIntent, requiredRoles, and requiredOrder judged from the execution receipt
Adaptive recovery: checkpoint restore, replay of committed tool results, and PlanPatch in repairable mode
Default-deny tool permissions with egressPolicy bounding built-in adapters
Mixed model providers including Anthropic, OpenAI, Gemini, Bedrock, Azure OpenAI, DeepSeek, and Ollama
runImage() for chained image generation and editing with OpenAI, Seedream, OpenRouter, and Black Forest Labs adapters
Adaptive thinking on Claude Opus 4.7 and Sonnet 5 when thinking is enabled without an explicit budget (v1.21.0)
OpenAI-compatible endpoint support for self-hosted and niche models
MCP tool integration and external agents over ACP (Claude Code, Codex, Gemini CLI)
Video input support via VideoBlock for MiniMax-compatible chat
Offline Run Viewer with task DAG, assignees, model/token/cost rollups, and tool-call detail
Automated drive-thru order taking via voice AI at the speaker post
Continuous upselling of add-ons and specials to raise average order value
Runs a spectrum of Voice AI approaches rather than a single model
Vendor-published 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
24/7 drive-thru ordering availability
Installation at scale without disrupting live drive-thru lanes
POS and headset provider integration handled by Presto
Available through the Toast Partner Ecosystem (Sept. 21, 2026)
Managed deployment with ongoing vendor support
ROI reporting across non-intervention, upsell, and revenue lift
Nationwide rollout experience at Wienerschnitzel, Taco John's, and Dairy Queen
15+ years of restaurant drive-thru automation experience since 2008
$10M raise (Sept. 28, 2026) funding Voice AI deployments
Integrations
Anthropic
OpenAI
Gemini
Amazon Bedrock
Azure OpenAI
DeepSeek
Ollama
MCP
ACP
Vercel AI SDK
Docker
OpenTelemetry
Claude Code
Codex
Gemini CLI
Toast

What real users say: Open Multi Agent vs Presto Voice

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Open Multi Agent

44 mentions across 5 sources · 60% positive — mixed (averaged across 5 sources)

Hacker News, YouTube, Product Hunt, GitHub, Lemmy

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.

Researched Aug 3, 2026

Presto Voice

37 mentions across 3 sources · 32% positive — critical (weighted across 3 sources)

YouTube, App Store, Lemmy

What users praise

  • • Handles POS and headset integration itself, so voice AI goes live in an active lane without pausing service
  • • Built specifically for multi-location QSR franchise groups, not single shops or dine-in concepts
  • • Continuous upselling of add-ons and specials on every transaction targets average-order-value lift
  • • 24/7 drive-thru ordering availability removes the labor constraint of shift coverage at the speaker post

What frustrates them

  • • Almost no independent, on-topic community reviews — the dataset is dominated by unrelated same-name products
  • • Vendor-published KPIs (95% non-intervention, 88% upsell, 6% lift) lack third-party verification
  • • Won't hand over the model to tune, which blocks teams that want to own and iterate on the voice stack
  • • Only Toast is documented as a named POS integration in the available data

Researched Oct 14, 2026

Who should pick which

  • Large QSR franchise operator
    Pick: Presto Voice

    Presto is built for drive-thru chains, with proven revenue lift and integrations with existing POS/headsets. Dairy Queen’s adoption validates its scalability.

  • TypeScript developer building a multi-agent app
    Pick: Open Multi Agent

    Directly addresses TypeScript developers. Best-in-class goal-driven DAG, multiple LLM providers, and safety features—all free and open source.

  • Small independent restaurant
    Pick: Open Multi Agent

    Presto is likely too expensive and enterprise-focused. Open Multi-Agent can be used to build a custom voice agent with a cheaper LLM, though it requires development effort.

  • Startup prototyping agent orchestration
    Pick: Open Multi Agent

    Free, supports 13+ providers, and offers pre-built orchestration logic. The low cost and flexibility allow rapid iteration.

  • QSR chain IT director evaluating automation
    Pick: Presto Voice

    Presto provides a turnkey solution with measurable ROI. Its voice AI is purpose-built for drive-thru, unlike general-purpose frameworks.

Frequently Asked Questions

Open Multi Agent vs Presto Voice: which should you choose?

Presto Voice and Open Multi-Agent serve completely different needs. Presto is a specialized, enterprise-scale drive-thru voice AI for QSR chains seeking revenue lift and operational efficiency—backed by new adoptions like Dairy Queen. Open Multi-Agent is a free, open-source TypeScript framework for developers building multi-agent systems with any LLM, offering cutting-edge goal decomposition and local execution. Choose Presto if you run a chain of drive-thrus; choose Open Multi-Agent if you build software agents.

Which tool is cheaper?

Open Multi-Agent is free (open source); Presto Voice requires contacting sales for pricing—typically enterprise-level costs.

Can I use Presto Voice for phone ordering?

Yes, Presto includes phone ordering automation alongside drive-thru voice AI.

Does Open Multi-Agent support drive-thru voice?

No, it is a general agent framework without built-in voice or drive-thru capabilities.

What programming language does Open Multi-Agent use?

TypeScript only; it is not suited for non-TypeScript ecosystems.

Can I run Open Multi-Agent locally for free?

Yes, per the Jul 2026 news, you can use Ollama+Gemma locally with $0 API costs.

Does Presto Voice integrate with my existing POS?

Presto integrates with major POS and headset systems—check with sales for specific compatibility.

Which tool has better scalability for multi-agent systems?

Open Multi-Agent is designed for multi-agent orchestration with parallel DAG execution, while Presto focuses on single-agent voice automation.

Are there any free trials for Presto Voice?

Presto does not list a free trial; pricing is by contact, likely requiring a demo and commitment.

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Last reviewed: July 3, 2026