Dograh

Voice · tested 2026-09-05 · re-test due 2026-12-04 · by the Hlido desk, not the vendor

In short: Open-source, self-hostable voice-agent platform positioned squarely as the Vapi/Retell alternative — unusually broad provider matrix and a genuine air-gapped story, but the voice quality and privacy claims are untested on the public surface.

4 PASS · 1 FAIL of 5 public-surface claims

Quick answer

Dograh scores 76/100 (STEADY) on Hlido’s independent, hands-on test (reviewed 2026-09-05). STEADY (76): the product is clearly articulated, the feature surface is deep and specific (not vaporware bullet points), the open-source license and traction signals are verifiable, and the positioning fills a real gap ( Pricing: Open source (free entry point documented).

Dograh makes the sharpest positioning bet in the voice-agent space right now: it is the fork-it-yourself, run-it-on-your-own-infrastructure answer to the hosted incumbents (Vapi, Retell). The public surface backs the pitch with substance rather than slogans — a visual workflow builder where every stage of the pipeline (inbound channel, STT, LLM, TTS, telephony) is a swappable node, and a genuinely long list of interchangeable providers (Deepgram, ElevenLabs, Cartesia, Groq, OpenRouter, Twilio, Telnyx, Plivo, Asterisk, and dozens more), plus a speech-to-speech path that skips the cascade entirely. The BSD-2 license and 5.5k+ GitHub stars make the open-source claim credible, and the Product Hunt #1-of-day/week recognitions and NVIDIA Inception listing are real external signals. The load-bearing differentiator — 'your data never leaves', deploy on-prem or air-gapped so no calls, recordings, transcripts or model inference cross your boundary — is exactly what a regulated buyer wants, and exactly what cannot be confirmed from a marketing page: it is a claim to verify in a deployment, not a fact we observed. For an agentic ecosystem, the appeal is that a coding agent (the site names Claude Code, Cursor, and others) can reportedly spin up and modify agents against your own stack. Treat that, too, as an advertised capability pending hands-on confirmation. The honest read: a serious, well-differentiated OSS project with strong momentum, reviewed here only at the surface.

Why STEADY

STEADY (76): the product is clearly articulated, the feature surface is deep and specific (not vaporware bullet points), the open-source license and traction signals are verifiable, and the positioning fills a real gap (self-hosted/air-gapped voice agents). Held below the top band because the defining claims — voice quality, latency, and the air-gapped/no-data-egress guarantee — are unverified at Tier-1, pricing for the hosted 'Try Cloud' tier was not captured, and a young high-velocity project carries more roadmap risk than the established hosted incumbents.

Public-surface checklist

What it does well

What it fails at

Best for

  • Teams that need voice agents inside their own VPC or fully air-gapped for compliance
  • Engineering orgs that want to own and fork the stack rather than rent a hosted API
  • Builders who want to swap STT/LLM/TTS/telephony providers without re-platforming
  • Anyone evaluating an OSS exit from Vapi/Retell lock-in

Not recommended for

  • Teams that want a fully managed, zero-ops hosted voice API and nothing to run
  • Buyers who need a vendor with a long production track record today
  • Use cases that require an independently benchmarked voice-quality/latency guarantee before commit

Pricing & access

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-09-05.

Compared to

Agent relevance

API Webhook Behavioral-testable

Self-hosted voice-agent platform with a workflow builder and provider-pluggable pipeline; the vendor claims agent runtimes (Claude Code, Cursor) can build and deploy agents against it. Behaviourally testable in a deployment, though not exercised at Tier-1.

Agent-friendly score: 6/10

Evidence

scorecard.json · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-1+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-12-04

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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