Lmnr vs Presto Voice

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionLmnrPresto Voice
PricingFreemium; paid plans not detailedContact for pricing
Target UserAI agent developers, DevOpsQSR chains, franchise operators
Key FeatureNatural-language Signals, Agent Debugger, trace compressionVoice AI ordering, upselling engine, phone automation
Latest NewsFrugon tool for cost optimization; trace compression 20xDairy Queen partnership; Memorial Day campaign
IntegrationsClaude/OpenAI SDKs, LangChain, Mastra, Browser UseElevenLabs, POS systems, headset systems
Best ForProduction agent debugging and observabilityDrive-thru automation and upsell via voice AI
Try LmnrTry Presto Voice
Lmnr
Lmnr

Open-source agent observability that auto-captures every LLM and tool call and flags failures you never wrote a detector for.

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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
Freemium
Contact Sales
Plans
$0/mo
$30/mo
$150/mo
Custom
—
Popularity
12 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLI
API
Categories
📡 LLM Observability & Evals
🍽️ Restaurant & Hospitality☎️ Voice AI Agents & Phone Automation
Features
Automatic capture of LLM calls, tool calls, sub-agents, costs and tokens
Transcript view with cost heatmap instead of a raw span tree
Signals: surfaces agent failure modes with no pre-defined detectors
flow-1 model for trace analysis, fine-tuned and RL post-trained
Signal event clusters with failure distribution and trend counts
Clusters auto-resolve when a failure stops and reopen if it recurs
Eval datasets generated automatically from fixed failure clusters
Laminar Agent in Slack answers questions about your traces
Agent debugger with MCP and CLI full SQL access to traces
Replay a recorded run from cache up to the point under test
Custom dashboards and SQL editor over raw trace data
Automatic agent input extraction from every run
Labeling queues to build datasets from traces or SQL results
Browser session recording alongside traces
Server-side PII removal and OTLP trace ingestion
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
Claude Agent SDK
OpenAI Agents SDK
Mastra
Pydantic AI
Vercel AI SDK
LangChain
OpenHands SDK
Browser Use
Stagehand
Playwright
Anthropic
OpenAI
LiteLLM
Slack
Toast

What real users say: Lmnr 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.

Lmnr

51 mentions across 5 sources · 28% positive — critical (averaged across 5 sources)

Hacker News, YouTube, Bluesky, GitHub, Lemmy

What users praise

  • • Open-source with Rust core for high performance.
  • • Natural-language Signals for easy failure detection.
  • • Agent-specific observability catches infinite loops and tool errors.
  • • Free tier available for small-scale usage.

What frustrates them

  • • Limited community and support channels outside GitHub.
  • • Setup requires understanding of OTLP and agent architecture.
  • • Dashboard customization can be complex for beginners.
  • • Some integrations are still in development or incomplete.

Researched Jul 15, 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

  • AI agent developer debugging production loops
    Pick: Lmnr

    Lmnr provides natural-language Signals to catch failures, trace compression, and an Agent Debugger for iterative fixes.

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

    Presto Voice is built specifically for drive-thrus with upselling, phone ordering, and POS integration.

  • MLOps team monitoring multi-agent systems
    Pick: Lmnr

    Lmnr offers OTLP ingestion, custom dashboards, and evaluation datasets from production traces.

  • Franchise network scaling voice AI across locations
    Pick: Presto Voice

    Presto Voice installs at scale with menu unification and multi-location deployment.

  • Startup iterating quickly on agent products
    Pick: Lmnr

    Lmnr’s free tier and open-source code allow fast iteration without upfront cost.

Frequently Asked Questions

Can Lmnr be used for non-agent LLM apps?

Lmnr is optimized for multi-step agents; simpler chat apps may lack agent-specific debugging needs.

Does Presto Voice work for dine-in or delivery?

Presto Voice focuses on drive-thru and phone ordering; it is not designed for dine-in or delivery-only contexts.

Is Lmnr self-hostable?

Yes, as an open-source platform, Lmnr can be self-hosted; details on deployment are available in its documentation.

How does Presto Voice handle noisy environments?

Presto uses a multi-model voice AI approach to handle diverse accents and background noise typical of drive-thrus.

What is the Laminar Agent mentioned in news?

Laminar Agent is a feature that allows plain-language queries on trace data via MCP, CLI, or Slack.

What is the Frugon tool from Lmnr's news?

Frugon is an open-source tool that identifies LLM calls a cheaper model could handle, running locally under MIT license.

Does Presto Voice offer self-service signup?

No, Presto Voice requires contacting sales; pricing is custom and not publicly listed.

Can Lmnr integrate with other observability tools?

Lmnr ingests traces via OTLP, enabling integration with OpenTelemetry ecosystem.

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Explore each tool further

Lmnr
View Lmnr reviewLmnr alternatives
Presto Voice
View Presto Voice reviewPresto Voice alternatives

Browse these categories

Best AI LLM Observability & Evals toolsBest AI Restaurant & Hospitality toolsBest AI Voice AI Agents & Phone Automation tools
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Last reviewed: July 8, 2026