Dograh
8.3

Dograh

  • Własny głos AI infrastruktura z zerowymi opłatami platformowymi i pełną kontrolą danych.
  • Agenci głosowi typu open source dla zespołów, którym zależy na szybkości, zgodności i poczuciu odpowiedzialności.

Dograh Key Insights

Model wyceny: Open source, Subscription
Bezpłatny poziom: Tak 
Oznaczono jako: Open source voice agent infrastructure
Cena: $0 
No code agent builder:
Telephony integration:
LLM observability and analytics:
QA for voice AI wywołania:
Community support via Slack:
Nieograniczone wykorzystanie:
No per minute fees:
Bring your own keys:
Hosting zarządzany:
Global model access:
SLA and uptime guarantee:
Dedykowane wsparcie:
Uzależnienie od dostawcy:

What is Dograh?

Dograh

Dograh is an open source voice agent infrastructure platform that lets teams build, run, and scale AI calling agents with full control over deployment, data, and model choices. It supports self hosted, managed cloud, and private cloud deployment, so businesses can start free on their own servers and move to paid operations when they want Dograh to handle infrastructure. 

Platforma obejmuje: no code workflow builder, telephony integration, observability, QA tools, and support for bring your own LLM, STT, and TTS stacks. Dograh is aimed at teams that need business automation without vendor lock in, especially in regulated sectors where data residency and auditability matter.

Key Features of Dograh
No code workflow builder
No code workflow builder Dograh

Dograh gives you a kreator wizualny for voice agents, so you can map call flows without heavy coding. That cuts build time and helps ops, product, and growth teams ship faster.

Bring your own stack

You can plug in your own LLM, STT, and TTS providers, which keeps model choice flexible and cost control in your hands. This is useful if you already have preferred vendors or need specific language, latency, or compliance setups.

Speech to speech mode
Speech to speech mode Dograh

Dograh supports speech to speech mode, where audio goes in and audio comes out without a full text round trip. That lowers latency and makes live conversations feel more natural for callers.

Model Context Protocol support
Model Context Protocol support Dograh

Dograh ships with an MCP server, so tools like Kod Claude'a, Kursor, OpenClaw, or other agent runtimes can build and deploy voice agents directly from the IDE. This is a major workflow win for developers who want to create and modify agents by writing prompts instead of wiring everything manually.

Full stack on your own infra
Full stack on your own infra Dograh

Dograh lets you run the complete voice AI stack on your own infrastructure, including STT, TTS, and model hosting. That gives you data sovereignty, lower latency, and better control for regulated or security sensitive teams.

Self hosted and private cloud

You can run Dograh on your own infrastructure or inside a private cloud, which is a strong fit for compliance heavy teams. It also gives security teams more control over logs, data flow, and deployment rules.

Dograh Pricing Plans

Nazwa planuKoszty:Kluczowe ograniczenia/cechy
open Source$0 Full platform, self hosted, unlimited usage, no per minute fees, community support, BYOK 
Prowarunki indywidualne  Managed hosting, global model access, SLA, dedicated support, analytics dashboard, 15 second billing pulse 
Enterprise warunki indywidualne  Private cloud or on premise, compliance support, account manager, custom SLAs, SSO, audit logs, data residency 

Workflow Builder for Voice Agents

Dograh’s workflow builder lets you design voice call logic visually, so each step in the call can be mapped, tested, and deployed without stitching everything together by hand. It is built for multi step voice automation, which means you can define greetings, data fetches, branching logic, tool calls, transfers, and end states inside one canvas.

This is especially useful for teams that want predictable call flows rather than a freeform chatbot. The builder also fits developers well because it ties into the wider voice stack, so the workflow is not just a diagram, it becomes the operational logic behind live calls.

Plusy i minusy

ZALETY
  • Free open source plan.
  • No per minute fees.
  • Self hosted or managed.
  • Good for regulated teams.
  • Flexible model choices
Wady
  • Enterprise pricing is custom.
  • Self hosting needs skill.

Voicie AI Automatyzacja

Dograh stands out because it treats voice AI like infrastructure, not a closed app. That matters when you need repeatable workflows, model flexibility, and strict control over where calls, prompts, and transcripts live. It also avoids vendor lock in, so teams can move between self hosted and managed setups as needs change. For serious voice automation work, that is a real advantage.

Best Dograh Alternatives

Open source voice agent infrastructureEfektywność kosztowaDeployment Control
VapiLower for pure managed setupLower, hosted first
Powtórz AIManaged convenience strongLimited self hosting
SynthflowSzybka konfiguracjaMniej kontroli
Kot rurowyHigh for buildersVery high, but technical
Werdykt: Dograh wins on ownership plus managed flexibility.

  • Build voice agents on your own stack
  • Darmowy
  • Go from prompt to phone call fast

9.0
Bezpieczeństwo platformy
8.0
Bez ryzyka i ze zwrotem pieniędzy
8.0
Usługi i funkcje
8.0
Obsługa klienta
8.3 Ogólna ocena

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Dograh
8.3/10
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